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Article

Analysis of Regional Differences in Asphalt Binder Under All-Weather Aging Based on Rheological and Chemical Properties

1
State Key Laboratory of Bridge Engineering Safety and Resilience, Beijing University of Technology, Beijing 100124, China
2
The Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, Beijing 100124, China
3
Chongqing Municipal Facilities Operation Guarantee Center, Chongqing 400015, China
4
School of Civil Engineering, Inner Mongolia University of Technology, Hohhot 010051, China
5
National Observation and Research Station of Corrosion of Road Materials and Engineering Safety in Dadushe Beijing, Beijing 101103, China
6
Research Institute of Highway Ministry of Transport, Beijing 100088, China
*
Author to whom correspondence should be addressed.
Materials 2025, 18(12), 2829; https://doi.org/10.3390/ma18122829
Submission received: 29 April 2025 / Revised: 5 June 2025 / Accepted: 14 June 2025 / Published: 16 June 2025

Abstract

:
Asphalt binder aging under natural exposure critically determines pavement durability, though current research inadequately captured performance evolution across diverse regional climates. This study investigated climate-driven degradation mechanisms through 12-month all-weather aging (AWA) tests in Gansu, Shandong, and Beijing via rheological (G-R parameter, stiffness modulus S-value) and chemical analyses (carbonyl index IC=O, sulfoxide index IS=O). The results demonstrated significant region-dependent aging disparities beyond laboratory simulation. In Gansu, extreme thermal fluctuations and UV radiation accelerated hardening via thermal stress cycles and photo-oxidation, yielding 52.4% higher G-R parameter than PAV. In Shandong, humid saline environments triggered sulfur oxidation-driven electrochemical corrosion, increasing IS=O by 4.2% compared to PAV. In Beijing, synergistic UV–thermal oxidation elevated IC=O and S-value by 8% and 40.7%, respectively versus PAV. Critically, IC=O exhibited strong positive correlations with rheological degradation across regions (r > 0.90, p < 0.01). Based on IC=O, the 12-month all-weather aging rate in Beijing exceeded Gansu and Shandong by 18.5% and 68%, revealing UV–thermal coupling as the most severe degradation pattern. Novelty lies in quantifying region-specific multi-factor coupling effects (UV–thermal, hygrothermal–salt, etc.) and demonstrating their superior severity over PAV (Beijing > Gansu > Shandong). Dominant environmental factors showed distinct regional variations: UV radiation and temperature difference dominated in Gansu (IC=O, r = 0.76) and Beijing (0.74), while precipitation—IC=O correlation prevailed in Shandong (0.76), yet multi-factor coupling ultimately governed aging. These findings provide theoretical foundations for region-tailored and climate-resilient asphalt pavement design.

1. Introduction

Asphalt pavements are susceptible to aging during long-term service due to various environmental factors such as high temperature, light, oxygen, and rain [1]. Aging leads to an increase in the hardness and brittleness of asphalt binder, significantly reducing the pavement performance and service life [2]. The behaviors of asphalt binder under natural exposure aging (NEA) critically determine pavement durability. The NEA method investigates asphalt binder performance evolution through authentic environmental conditions involving solar radiation, temperature–humidity cycles, and chemical interactions. NEA offers an advantage in data reliability, but it is limited by the long test period (typically ≥5 years). In the NEA practice, asphalt binder films are horizontally exposed to direct sunlight, or aged samples are obtained through in situ pavement sampling combined with extraction techniques. The NEA method provides a basis for studying field aging mechanisms of asphalt binder [3].
Most existing studies focus on isolated thermo-oxidative aging and ultraviolet (UV) aging. Zhao et al. compared environmental chamber, high-pressure pure oxygen condition, and the pressure aging vessel (PAV) test, revealing varying aging sensitivities of asphalt binder under different conditions. The thin film aging method simulating natural conditions (60 °C with aeration) demonstrated superior effectiveness, but UV and moisture factors were neglected [4]. Zhang developed a climate index model based on cumulative UV radiation flux (ΣUVmax), showing a strong correlation (r = 0.91, p < 0.01) with rheological parameters of asphalt binder. It confirmed that climate-weighted indicators more accurately characterize aging progression than conventional time-based parameters [5]. Chen et al. found that 30 days of indoor UV aging were equivalent to 50 months of outdoor radiation based on the dual-reaction kinetics model [6]. Zhang et al. proposed equivalence relationships between laboratory and natural aging: 1-day UV aging ≈ RTFOT standard aging, 5 h PAV ≈ 1-year natural aging, and 20 h PAV ≈ 5-year natural aging [7].
Moisture effects and coupled thermal–oxygen–light–water interactions during asphalt binder aging were considered in some studies. Chen et al. established a kinetic model of humidity-thermal aging based on time–temperature equivalence principles, revealing that extreme temperatures (above 60 °C) accelerated the growth rate of softening point by 40% [8]. Wet–dry cyclic aging reduced carbonyl (C=O) and sulfoxide (S=O) group contents by 8.9–28.8% and 3.3–13.9%, respectively compared to thermal-oxidative aging, indicating the inhibitory effect of moisture on oxidation [9]. Li et al. improved the thermal–oxygen–water–light coupling aging method, showing that 5 h, 10 h, and 15 h of laboratory aging corresponded to 4, 6, and 7 years of NEA. It was significantly superior than the conventional thermal-oxidative aging method [10]. Liang et al. proposed a multi-factor accelerating (MFA) aging method integrating thermal–light–water effects. By establishing an aging prediction model based on the carbonyl index (IC=O) analysis of Beijing-exposed asphalt binders (3–5 years), they determined that 5 days of MFA aging were equivalent to 2 years of natural service, with 5% accuracy improvement over PAV [11]. These findings provide critical data support for establishing a standardized aging evaluation system.
The synergistic effect of intense UV and large temperature differences on asphalt binder had been investigated. Ran et al. conducted an NEA test on the Tibetan Plateau, revealing strong correlations (r > 0.9) between aging time, macroscopic properties and chemical functional groups (C=O and S=O), confirming the dominant role of functional groups in the deterioration of asphalt properties [12]. Bi et al. further found that NEA for 4–8 months was equivalent to laboratory accelerated aging (60 ± 2 °C with UV) for 2–3 days and 6 days. Based on this, correction coefficients (1.36–2.05) were introduced to refine the radiation equivalence model [13]. A comparative analysis between southern Tibet (with double the daily solar radiation of Chongqing) demonstrated 1.5–2 times faster aging rate in high-altitude regions compared to low-altitude areas [14].
Emerging researches had clarified distinct oxidation pathways between thermal-oxidative and photo-oxidative aging mechanisms. Wu et al. demonstrated that asphalt binder oxidation under high temperature, high pressure or continuous illumination followed oxygen adsorption-dominated mechanisms [15], while dehydrogenation prevailed under pure thermal conditions [16]. Specifically, thermal-oxidative aging primarily generated carboxyl groups through limited oxidation of aromatic alkyl side chains, accompanied by condensation–dehydrogenation reactions [17]. Thermal rupture of the C=C bond formed C=O, while the S–C bond oxidation produced S=O, increasing the oxygen-containing polar functional groups [18]. In contrast, photo-oxidative aging initiated free radical chain reactions via UV-induced C–H bond photolysis, exhibiting a carbonyl-to-sulfoxide formation ratio of 1.8:1 versus 1:2.1 in thermal conditions [19]. Although water exhibited weaker physicochemical impacts than UV radiation, it promoted the sensitivity of asphalt binder to photo-oxidation [20]. Yang et al. simulated practical service environments by immersing asphalt binders in distilled water, acid, alkali, NaCl, and Na2SO4 solutions [21]. It was shown that aqueous erosion increased the elastic components, stiffness, C=O and S=O, while reducing the fatigue life of asphalt binder [22]. Notably, acid, alkali, and salt solutes counteracted this trend [23].
The current research faces two primary limitations: (1) predominant focus on single environmental factor or laboratory accelerated aging, inadequately addressing synergistic degradation mechanisms under real-world multi-factor interactions; (2) insufficient systematic comparison of asphalt binder performance evolution across diverse regional aging conditions, thus failing to guide region-specific anti-aging designs. Therefore, Gansu (temperate, continental arid climate), Shandong (warm-temperate, semi-humid climate), and Beijing (warm-temperate, semi-humid monsoon climate) in China were selected as typical regions in this study. The climatic variations induced fundamentally differentiated aging mechanisms.
The objectives of this research are (1) to quantify spatiotemporal distribution characteristics of meteorological parameters (temperature, UV radiation, humidity, wind speed) in the Gansu, Shandong, and Beijing regions through the 12-month all-weather aging (AWA) test; (2) to analyze macro–micro performance evolution of asphalt binders via rheological (G-R parameter, stiffness modulus) and chemical indexes (IC=O, IS=O), with inter-indicator correlations; (3) to establish region-specific environmental coupling patterns through correlating climatic parameters with rheological and chemical properties degradation. This study provides theoretical support for material modification and optimization of pavement maintenance strategies.

2. Materials and Methods

2.1. Raw Materials

This study selected 90# virgin asphalt binder (Gansu Road and Bridge Shanjian Technology Co., Ltd., Lanzhou, China), with basic properties shown in Table 1.

2.2. Laboratory Accelerated Aging Tests

According to JTG E20–2011 [28], short-term and long-term asphalt binder aging were simulated using the Thin Film Oven Test (TFOT) and Pressure Aging Vessel (PAV), respectively. TFOT replicates thermal-oxidative aging during asphalt binder storage, transportation, and paving, which was conducted at 163 °C with a rotational speed of 5.5 r/min for 5 h. Subsequent PAV aging subjected the TFOT asphalt binder to 100 °C and 2.1 MPa pressure for 20 h.

2.3. Natural Exposure Aging Tests

2.3.1. Climatic Characteristics of Different Regions

Field test bases in Beijing, Gansu, and Shandong were illustrated in Figure 1.
The monthly variations of meteorological parameters (temperature, UV radiation, humidity, wind speed) during AWA were presented in Figure 2, Figure 3, Figure 4 and Figure 5, with relevant abbreviations defined in Table 2.
In Figure 2, significant temperature variations were observed among the three regions. Gansu exhibited the most extreme temperature fluctuations with Tmax 39.3 °C and Tmin −19.6 °C, and monthly mean temperature difference of 18.7 °C. Such pronounced temperature extremes accelerated aging while challenging high and low temperature performance. In Shandong, moderated by maritime climate influences, temperatures stabilized between Tmax 35 °C and Tmin −3 °C, with a lower difference of 11.3 °C. Beijing displayed intermediate characteristics, recording Tmax 33 °C and Tmin −6 °C, and a temperature difference of 13.1 °C.
Figure 3 demonstrated similar trends between cumulative UV radiation and temperature variations across regions, peaking at 31 MJ/m2 (Gansu), 21.3 MJ/m2 (Shandong), and 22.5 MJ/m2 (Beijing). In Gansu, arid and cloudless conditions intensified ground-level UV exposure, significantly challenging UV aging resistance of asphalt pavement. In Shandong, seasonal UV fluctuations (20–22 MJ/m2 during May–Jul. vs. 6–9 MJ/m2 in Dec.–Feb.), reflected monsoon-driven cloud cover variations. In Beijing, UV levels consistently fell between Gansu and Shandong across all months.
Figure 4 and Figure 5 illustrated regional disparities in relative humidity and wind speed. In Gansu, an arid climate (annual average humidity 35.7%) combined with extreme winds (annual peak 158.4 m/s) intensified surface evaporation and dust activity. In Shandong, a maritime climate resulted in higher humidity (above 70% during Jul.–Sept.) and milder winds (9.3 m/s peak), reducing wind erosion risks. Beijing exhibited transitional climate characteristics, lower humidity (35–50%) during dusty months (Dec.–May) rising to 50–80% post-rainy seasons (June–Nov.), with urban structures mitigating wind impacts (8.5 m/s annual peak).

2.3.2. Preparation and Processing of AWA Samples

The 90# virgin asphalt binder was heated at 135 °C until it flowed, with continuous stirring to avoid bubbles. Then, 30 g of asphalt binder was poured into 160 mm × 115 mm × 10 mm molds, achieving a film thickness of 1.59 mm (m = ρv). The samples were then subjected to TFOT. Next, the samples were placed at field test bases in Beijing, Gansu, and Shandong to undergo 12-month AWA without shield, exposed to sunlight, heat, oxygen, rain and dust, as shown in Figure 6. The samples were retrieved at 6-month intervals and processed as follows: surfaces were cleaned with damp cloths, air-dried at room temperature, heated to a flowable state at 135 °C, and stirred with a glass rod, and then cooled for performance testing. These steps were intended to minimize any interference from dust or other contaminants.

2.4. Characterization Methods of Rheological Properties

Dynamic shear rheometer (DSR, TA Instruments, New Castle, DE, USA) was used to evaluate intermediate-temperature fatigue resistance and low-temperature cracking resistance of asphalt binder.
(1)
Intermediate-temperature fatigue resistance
Based on the high sensitivity of Glover-Rowe (G-R) parameter to aging, frequency sweeps (1% strain, 0.1–100 rad/s angular frequency) were conducted at 5 °C, 15 °C, and 25 °C with 8 mm parallel plates (2.0 mm gap) [29]. Master curves of complex modulus G* and phase angle δ were constructed at 15 °C, with values at 0.005 rad/s substituted into Equation (1) to calculate G-R parameters [30]. Increased G-R values indicate reduced fatigue resistance and elevated cracking risk [31].
G - R = G * · cos δ 2 sin δ
(2)
Low-temperature cracking resistance
While the S-value of 4 mm DSR correlates strongly with Bending Beam Rheometer (BBR) data [32], this study used the 4 mm DSR test (1% strain, 0.1–100 rad/s) at −18 °C, −12 °C, and −6 °C due to its sample efficiency advantage over BBR specimen preparation [33]. Increased S-value indicates impaired low-temperature cracking resistance and heightened failure risks [34].

2.5. Characterization Method of Chemical Composition

Spectrum II Fourier transform infrared spectroscopy (FTIR, PerkinElmer, Waltham, MA, USA) was employed in this study with the following parameters: 0.5 cm−1 resolution, 32 scans, and 4000–500 cm−1 wave. First, background spectra were collected prior to sample analysis. Molten asphalt was applied onto the testing platform for spectral acquisition. Then, OMNIC software (9.2) processed the spectra through transmission-to-absorbance conversion, followed by ordinate normalization, baseline correction, and smoothing. Absorption peaks of functional groups were identified with corresponding peak areas quantified.

3. Results and Discussion

The abbreviations and definitions of the samples were shown in Table 3.

3.1. The Effect of AWA on Rheological Properties of Asphalt Binders

3.1.1. Evolution of Intermediate-Temperature Fatigue Resistance

G-R parameters of asphalt binders after AWA in three regions were shown in Figure 7. Unaged samples exhibited a G-R value of 0.6 kPa, and increased by 1 and 47 times after TFOT and PAV, respectively. Progressive G-R parameter growth occurred with increasing AWA time, showing regional disparities. After 6-month AWA, Gansu, Shandong and Beijing samples reached 74%, 32%, and 87% of PAV G-R values, respectively. After 12-month AWA, G-R parameters of Gansu and Beijing samples exceeded PAV 52.4% and 22.7%, respectively, while Shandong was 0.2% smaller than PAV. This direct comparison revealed that all-weather aging in Gansu and Beijing exceeded PAV severity, while in Shandong it was comparable. The results also demonstrated significantly greater fatigue resistance degradation in Gansu and Beijing compared to Shandong. In Gansu, cyclic effects of significant temperature fluctuations under all-weather conditions induced repeated expansion−contraction within asphalt binder, generating thermal stress and triggering microcrack initiation and propagation [35]. This degradation manifested as notable G-R parameter escalation. G-R parameters of all samples remained below the critical cracking value of 180 kPa, confirming compliance with specification requirements [36].

3.1.2. Evolution of Low-Temperature Cracking Resistance

The S-value of asphalt binders after AWA in different regions was shown in Figure 8. As temperature decreased from −6 °C to −18 °C, the S-value exhibited significant increase with progressively amplified increments, indicating that the lower temperature, the worse cracking resistance of asphalt binders. An S-value at −18 °C exceeded 300 MPa except for unaged and TFOT, indicating failure to meet Superpave specifications for low-temperature deformation resistance [37].
An S-value at −12 °C was selected for quantitative analysis, as shown in Figure 9. Unaged samples showed an S-value of 59.3 MPa, and increased by 1.2 and 2.3 times after TFOT and PAV, respectively. Beijing demonstrated the most pronounced aging effects; an S-value of BJ-A12 and BJ-A6 exceeded PAV by 40.7% and 26.1%. Gansu followed with GS-A12 and GS-A6 surpassing PAV by 12% and 4.4%, while Shandong exhibited minimal impacts with SD-A12 11.5% larger and SD-A6 2.6% smaller than PAV. Compared to PAV, all-weather aging induced significantly greater stiffness modulus increase in Beijing and Gansu, but was closer to PAV in Shandong. Critically, the comparison (G-R parameter, stiffness modulus) showed that all-weather aging in Beijing and Gansu often exceeded PAV severity in degrading rheological properties, highlighting the PAV potential underestimation in harsh climates.
The pronounced S-value increases in Beijing and Gansu were primarily attributed to thermal cycling-induced damage. Repeated temperature fluctuations generated internal stresses within the binder. As supported by Yu et al., these stresses could lead to the formation and propagation of microcracks in the asphalt binder microstructure [38]. These microcracks increased the binder’s surface area and facilitated oxygen ingress, thereby accelerating oxidative aging, which was a key mechanism for S-value elevation. The additional increase in Beijing was likely linked to acid rain exposure. Meng et al. demonstrated that acid rain components could interact with asphalt binder, leading to chemical changes such as the decomposition of lighter fractions (aromatics, resins) and a relative increase in asphaltenes [39]. This process disrupted the colloidal structure equilibrium, shifting it towards a more brittle gel state. Such structural degradation directly compromised the mechanical properties of asphalt binder, including increased stiffness (reflected in higher S-value) and reduced resistance to cracking, particularly at low temperatures.

3.2. The Effect of AWA on Chemical Functional Groups of Asphalt Binders

FTIR spectral characteristics of asphalt binders after AWA in different regions were shown in Figure 10. The characteristic peaks of methyl (-CH3) and methylene (-CH2-) groups (2852–2952 cm−1 and 1200–1550 cm−1) remained stable during aging, indicating minimal alkane structural changes. Therefore, this study selected the peak at 1459 cm−1 and 1378 cm−1 as reference peaks [3]. Notably, the carbonyl (C=O) peak near 1700 cm−1 emerged exclusively after PAV and AWA, confirming progressive oxidative accumulation. All samples exhibited persistent sulfoxide (S=O) peaks near 1030 cm−1, with peak area growth rates showing regional variability.
To quantitatively evaluate the aging degree of samples, the carbonyl index (IC=O) and sulfoxide index (IS=O) were employed to characterize the evolution of chemical composition, as calculated by Equations (2) and (3) and shown in Figure 11.
I C = O = A C = O A r e f
I S = O = A S = O A r e f
where IC=O, IS=O, AC=O, AS=O, Aref represent the carbonyl index, sulfoxide index, carbonyl peak area, sulfoxide peak area, and reference peak area, respectively.
As shown in Figure 11, unaged samples exhibited IC=O below 0.007, and increased to 1.7 and 4.4 times after TFOT and PAV, respectively. Both IC=O and IS=O showed an increasing trend with aging time, confirming that oxidation dominated functional groups accumulation during aging. High temperature, oxygen, and UV radiation collectively activated free radical generation, forming oxygenated polar functional groups such as C=O and S=O through reactions with C and S [40]. Obviously, the carbonyl sensitivities to different regions were as follows: BJ-A12 > GS-A12 > PAV > SD-A12 > BJ-A6 > GS-A6 > SD-A6 > TFOT > unaged samples. BJ-A12 exhibited the largest IC=O (8% higher than PAV), followed by GS-A12 (3.8% higher than PAV), while SD-A6 showed minimal IC=O (68.5% of PAV). IC=O of other samples lied between TFOT and PAV. In Beijing, heavy metals (e.g., Fe, Cu) from atmospheric particulates adsorbed onto asphalt surfaces, catalyzing radical formation and indirectly elevating IC=O [41]. In Gansu, low humidity reduced the antioxidative effect of moisture, intensifying molecular chain scission and oxygenated group accumulation [42].
However, IS=O displayed different trends with IC=O. SD-A12, BJ-A12, and GS-A12 were 4.2%, 1.5%, and 0.7% higher than PAV, respectively. In Shandong, the coastal environment exposed asphalt binder to high levels of salt fog. Chloride ions (Cl) derived from this salt fog readily combined with atmospheric moisture to form conductive electrolyte solutions on the asphalt binder surface. This facilitated electrochemical corrosion processes. Crucially, alkali metal ions (Na+) presented in the salt fog could act as catalysts, accelerating the oxidation of sulfur-containing compounds to form sulfoxides (S=O), thereby increasing IS=O. This catalytic effect and the role of the electrolyte in accelerating sulfur oxidation were strongly supported by the findings of Li et al. [43]. In Beijing, S O 4 2 from acid rain could adsorb onto the asphalt surface and participate in reactions. Under acidic conditions, S O 4 2 could promote the formation of surface complexes and facilitate radical chain reactions. These reactions specifically targeted sulfur-containing moieties within the asphalt binder, leading to their oxidation and the formation of sulfoxides (S=O), thus elevating the IS=O. The mechanism of S O 4 2 in promoting oxidation under acidic conditions, particularly its pronounced impact on S=O formation compared to other aging factors, aligned with the observations reported by Qian et al. [44]. In contrast, the correspondence of IC=O was more in line with a previous discussion on rheological properties [9].

3.3. Correlation Analysis of Macro and Micro Performance Indexes

Pearson correlation was analyzed between G-R parameters, S-value at −12°C, IC=O and IS=O, with coefficients r calculated by Equation (4). Results were shown in Figure 12.
r = i = 1 n ( X i X ¯ ) ( y i y ¯ ) i = 1 n ( X i X ¯ ) 2 i = 1 n ( y i y ¯ ) 2
where Pearson correlation coefficient r ranges [−1, 1]. Correlation strength was classified as negligible (|r| < 0.3), weak (0.3 ≤ |r|< 0.5), moderate (0.5 ≤ |r|< 0.8), and strong (|r| ≥ 0.8).
As shown in Figure 12, the G-R parameter exhibited a strong linear correlation with S-value at −12 °C (r = 0.81, p < 0.01), indicating synergistic hardening behavior after all-weather aging [2]. Obviously, the results demonstrated that IC=O exhibited the highest correlations with other indexes, with G-R parameter (r = 0.94, p < 0.01), S-value at −12 °C (r = 0.93, p < 0.01), and IS=O (r = 0.92, p < 0.01). These strong and statistically significant correlations indicated that the accumulation of oxygenated polar group (as represented by IC=O) critically governed the rheological degradation of asphalt binder. Consequently, and in line with the findings of Lin et al. (2016) [45], the carbonyl area index (equivalent to IC=O) was verified as an effective parameter to characterize asphalt binder aging and was recommended as a critical chemical parameter for determining preventive maintenance time. IC=O established itself as a robust chemical indicator for evaluating the aging-induced degradation relevant to medium-low temperature performance. The strong polarity of C=O in asphalt binder enhanced intermolecular forces, restricting molecular mobility and resulting in asphalt binder hardening with increased overall modulus. This structural alteration adversely affects rheological performance, compromising both fatigue resistance and low-temperature cracking resistance. Regionally, Beijing exhibited 18.5% and 68% faster AWA rates than Gansu and Shandong based on IC=O, respectively, indicating that all-weather environmental factors in Beijing led to the most serious aging, followed by Gansu, and Shandong was the smallest.

3.4. Correlation Analysis Between AWA Factors and Asphalt Binder Performance Across Regions

Previous findings revealed significant regional disparities in asphalt binder aging behaviors among Gansu, Shandong, and Beijing due to climatic variations. Quantifying environmental parameter impacts on performance metrics enabled the identification of region-specific critical aging factors. The abbreviations and definitions of environmental parameters were listed in Table 4.
Correlation matrices were constructed using aging duration, monthly temperature differentials, UV radiation, precipitation, and asphalt binder performance indicators (G-R parameters, S-value, IC=O, and IS=O). Figure 13 demonstrated distinct regional patterns.
As shown in Figure 13a, for AWA samples in Gansu, S-value and IC=O exhibited the strongest correlations with aging time (r > 0.8), indicating that mechanical degradation and oxidation primarily depended on exposure time. Secondary correlations between S-value (r > 0.7), IC=O (r > 0.6) and MMTD, and MMUVR further suggested synergistic degradation: thermal stress-induced microcrack and UV-driven molecular chain scission. Concurrently, G-R parameter correlations (r > 0.6) demonstrated combined thermal cycling (viscoelastic imbalance) and UV oxidation impacts. IS=O strongly correlated with UV radiation (r = 0.76) and moderately with aging time and temperature difference (r = 0.69), indicating dual photochemical and thermo-oxidative sulfur oxidation. Degradation primarily stemmed from temporal accumulation accelerated by temperature fluctuations and UV, with negligible moisture influence (r < 0.3).
As shown in Figure 13b, AWA samples in Shandong exhibited strong correlations between MMP and S-value, IC=O, and IS=O (r > 0.7), indicating moisture-driven degradation. Moderate UV radiation impacts (S-value, IS=O, r > 0.6) were attributed to humidity-induced UV scattering and slowed sulfide conversion. Weak correlations between aging time, temperature difference, and performance metrics (r ≤ 0.61) reflected the climatic stability of Shandong. Comparative analysis of Figure 2, Figure 3, Figure 4 and Figure 5 revealed limited thermal stress accumulation and reduced thermo-oxidative intensity compared to Gansu and Beijing, coupled with evenly distributed seasonal precipitation mitigating cumulative heat and drought effects. This stability diminished temporal and thermal degradation, positioning moisture-induced physicochemical deterioration, with secondary UV contributions, while climatic consistency significantly delayed thermo-oxidative progression.
As shown in Figure 13c, Beijing demonstrated the strongest correlations between aging time and all performance metrics (0.6 < r<0.9), followed by monthly UV radiation (0.6 < r<0.75) and temperature difference (0.6 ≤ r<0.7), with precipitation showing minimal influence (r < 0.6). These results indicated that asphalt binder degradation under all-weather conditions in Beijing was predominantly time-dependent, while UV radiation and thermal variations secondarily accelerated deterioration through physicochemical interactions. This pattern resembled Gansu’s aging dynamics but with weaker UV and temperature correlations.
Collectively, region-specific environmental coupling patterns governed asphalt binder aging. In Gansu’s arid climate, UV–thermal synergism (photo-oxidation and thermal stress) emerged as the primary pattern. Shandong’s moisture-rich environment accelerated hygrothermal–oxidation coupling with supplementary UV effects. Beijing exhibited integrated UV–thermal coupling effects that exacerbated degradation through combined photochemical and mechanical pathways. While each region displayed distinct primary patterns, the results conclusively demonstrated that asphalt binder aging in all regions resulted from coupled interactions of multiple climatic factors rather than a single factor.

4. Conclusions

This study conducted 12-month all-weather aging tests at field stations in Beijing, Gansu, and Shandong regions. Through spatiotemporal analysis of meteorological parameters and macro–micro evaluations of rheological properties (G-R parameters, stiffness modulus S-value) and chemical functional groups, region-specific aging patterns were revealed. The key findings are as follows:
  • All-weather aging patterns exhibited significant regional disparities. In Gansu, extreme temperature fluctuations and intense UV radiation caused 52.4% higher G-R parameter than PAV. In Shandong, hygrothermal–salt fog interactions promoted Cl-induced electrochemical corrosion, leading to 4.2% higher IS=O in SD-A12 than PAV. In Beijing, a synergistic effect of UV–thermal oxidation increased the S-value by 40.7% in BJ-A12 compared to PAV. Notably, all-weather aging in Beijing and Gansu induced more severe rheological degradation than PAV, while Shandong showed closer alignment, emphasizing region-dependent aging severity beyond laboratory simulation.
  • Chemical oxidation exhibited robust correlations with rheological properties degradation across all regions. IC=O of BJ-A12 was highly linked with G-R parameter (r = 0.94) and S-value (r = 0.93), directly connecting oxygenated groups to hardening and performance degradation. Additionally, 49.5% faster C=O generation of GS-A12 than Shandong indicated that UV radiation prompted oxidation. Based on IC=O, the 12-month all-weather aging rate in Beijing surpassed Gansu and Shandong by 18.5% and 68%, respectively, demonstrating that UV–thermal oxidation coupling effects led to the most severe degradation pattern in Beijing.
  • Environmental parameters exhibited significant regional variations in impact intensity. Under all-weather conditions, UV radiation and temperature difference significantly accelerated aging in Gansu and Beijing (r > 0.6), with GS-A6 achieving 74% G-R parameter of PAV and BJ-A6 showing 26.1% higher S-value than PAV. The climatic stability of Shandong reduced thermal aging but displayed strong precipitation–carbonyl correlations (r > 0.7), with UV as a secondary factor. Yet crucially, multi-factor coupling effects resulted in aging rather than a single factor. Aging time impacted regions differently (Beijing > Gansu > Shandong).
  • It is noted that the indoor laboratory aging test (TFOT, PAV) in this study primarily simulated thermo-oxidative effects. Future research should incorporate multi-factor coupling (e.g., UV, moisture) to better simulate complex field environments. Future studies should extend aging time to capture long-term degradation, and develop region-specific anti-aging modifiers targeting dominant environmental stressors (e.g., UV stabilizers for Beijing and chloride inhibitors for Shandong).

Author Contributions

Conceptualization, methodology, M.G. (Meng Guo); writing—original draft preparation, Y.D.; writing—review and editing, investigation, X.Y.; data curation, M.G. (Mingyang Guan); visualization, M.L.; software, X.W.; supervision, X.D. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Natural Science Foundation of China (52478429 and U24A20198).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.

Acknowledgments

The authors would like to thank the editor and anonymous reviewers for their numerous constructive comments and encouragement that have improved our paper greatly.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
AWAAll-weather aging
NEANatural exposure aging
MFAMulti-factor accelerating
UVUltraviolet
RTFOTRolling thin film oven test
TFOTThin film oven test
GSGansu region
SDShandong region
BJBeijing region
GS-A12Asphalt binders after 12-month all-weather aging in Gansu
DSRDynamic shear rheometer
BBRBending beam rheometer
FTIRFourier transform infrared spectroscopy
G-RGlover-Rowe
S-valueStiffness modulus
IC=OCarbonyl index
IS=OSulfoxide index
MMTDMonthly mean temperature difference
MMUVRMonthly mean ultraviolet radiation
MMPMonthly mean precipitation

References

  1. Guo, M.; Liang, M.C.; Liu, H.; Bi, Y.F.; Du, X.L. Study on the effect of different environmental factors on the aging gradient of asphalt binder based on field aging test. Int. J. Pavement Eng. 2023, 24, 2245950. [Google Scholar] [CrossRef]
  2. Ahmad, M.; Khedmati, M.; Mensching, D.; Hofko, B.; Haghshenas, H.F. Aging characterization of asphalt binders through multi-aspect analyses: A critical review. Fuel 2024, 376, 132679. [Google Scholar] [CrossRef]
  3. Wu, M.; Yin, L.; Li, M.; You, Z.; Jin, D.; Xin, K. A state-of-the-art review of asphalt aging behavior at macro, micro, and molecular scales. Constr. Build. Mater. 2025, 460, 139738. [Google Scholar] [CrossRef]
  4. Zhao, K.; Wang, Y. Influences of aging conditions on the rheological properties of asphalt binders. Int. J. Pavement Eng. 2018, 21, 653–665. [Google Scholar] [CrossRef]
  5. Zhang, K. Evaluation of aging evolution of olive pomace–modified asphalt binders under natural weather aging conditions. J. Test. Eval. 2023, 51, 3933–3946. [Google Scholar] [CrossRef]
  6. Chen, Z.; Zhang, H.; Duan, H.; Wu, C.; Zhang, S. Long-term photo oxidation aging investigation of temperature-regulating bitumen based on thermochromic principle. Fuel 2021, 286, 119403. [Google Scholar] [CrossRef]
  7. Zhang, D.; Zheng, Y.; Yuan, G.; Guo, H.; Zhou, Q.; Qian, G.; Liang, B. Comparative analysis of rheological and microscopic performance of SBS modified asphalt based on field aging and laboratory aging. Fuel 2023, 352, 128933. [Google Scholar] [CrossRef]
  8. Chen, M.; Geng, J.; Chen, H.; Niu, Y.; He, L. Micro-characterization of bitumens under the coupling action of moisture and oxygen. J. Build. Eng. 2022, 53, 104589. [Google Scholar] [CrossRef]
  9. Geng, J.; Meng, H.; Xia, C.; Chen, M.; Lu, T.; Zhou, H. Effect of dry–wet cycle aging on physical properties and chemical composition of SBS-modified asphalt binder. Mater. Struct. 2021, 54, 120. [Google Scholar] [CrossRef]
  10. Li, Q.; Zeng, X.; Wang, J.; Luo, S.; Meng, Y.; Gao, L.; Wang, X. Aging performance of high viscosity modified asphalt under complex heat-light-water coupled conditions. Constr. Build. Mater. 2022, 325, 126314. [Google Scholar] [CrossRef]
  11. Liang, M.; Guo, M.; Xu, X.; Liu, X.; Liu, H.; Bi, Y. Study on accelerated aging rate of asphalt binder under multi-factors coupling conditions. Constr. Build. Mater. 2023, 400, 132819. [Google Scholar] [CrossRef]
  12. Ran, L.; Li, Q.; Luo, W.; Xu, H.; Kong, L. Viscoelastic Behavior and Characterization of Bitumen under Natural Exposure Aging in the Tibetan Areas. J. Mater. Civ. Eng. 2024, 36, 04024020. [Google Scholar] [CrossRef]
  13. Bi, Y.; Xu, Y.; Li, B.; Zou, X.; Gao, J.; Li, Q. Laboratory-accelerated simulation and calibration method for ultraviolet aging of asphalt binders based on radiation equivalent conversion. Constr. Build. Mater. 2024, 435, 136791. [Google Scholar] [CrossRef]
  14. Bi, Y.; Xu, Y.; Chen, Z.; Zou, X.; Li, B.; Gao, J.; Geng, X. Aging behavior and self-healing properties of asphalt binders in high-altitude environments. Constr. Build. Mater. 2025, 475, 141271. [Google Scholar] [CrossRef]
  15. Wu, S.P.; Pang, L.; Mo, L.T.; Chen, Y.C.; Zhu, G.J. Influence of aging on the evolution of structure, morphology and rheology of base and SBS modified bitumen. Constr. Build. Mater. 2009, 23, 1005–1010. [Google Scholar] [CrossRef]
  16. Martínez-Toledo, C.; Valdés-Vidal, G.; Calabi-Floody, A.; González, M.E.; Reyes-Ortiz, O. Effect of biochar from oat hulls on the physical properties of asphalt binder. Materials 2022, 15, 7000. [Google Scholar] [CrossRef]
  17. Liang, M.; Guo, M.; Tan, Y.; He, S.; Du, X. Evaluation of anti-ageing performance of bitumen based on rheological and chemical characterisation. Int. J. Pavement Eng. 2023, 24, 2213385. [Google Scholar] [CrossRef]
  18. Kadhim, H.J.; Modarres, A.; Al-Busaltan, S. Rheological and microstructural properties of nano-composite bitumen modified by nano-alumina and low-SBS content. Case Stud. Constr. Mater. 2024, 20, e03244. [Google Scholar] [CrossRef]
  19. Menapace, I.; Yiming, W.; Masad, E. Effects of environmental factors on the chemical composition of asphalt binders. Energy Fuels 2018, 33, 2614–2624. [Google Scholar] [CrossRef]
  20. Lopes, A.S.; Neto, O.D.M.M.; Lucena, L.C.F.L.; Nascimento, M.D.V.D.; Siqueira, M.V.; Sousa, T.M.; Monteiro, A.F.F. Impact of aging protocols on asphalt binder behavior: A laboratory and field study. Case Stud. Constr. Mater 2023, 19, e02629. [Google Scholar]
  21. Yang, H.; Pang, L.; Zou, Y.; Liu, Q.; Xie, J. The effect of water solution erosion on rheological, cohesion and adhesion properties of asphalt. Constr. Build. Mater. 2020, 246, 118465. [Google Scholar] [CrossRef]
  22. Kanitpong, K.; Bahia, H. Relating adhesion and cohesion of asphalts to the effect of moisture on laboratory performance of asphalt mixtures. Transp. Res. Rec. 2005, 1901, 33–43. [Google Scholar] [CrossRef]
  23. Roja, K.L.; Masad, E. Influence of chemical constituents of asphalt binders on their rheological properties. Transp. Res. Rec. 2019, 2673, 458–466. [Google Scholar] [CrossRef]
  24. ASTM D5/D5M-23; Standard Test Method for Penetration of Bituminous Materials. ASTM International: West Conshohocken, PA, USA, 2023.
  25. ASTM D36/D36M-14; Standard Test Method for Softening Point of Bitumen (Ring-and-Ball Apparatus). ASTM International: West Conshohocken, PA, USA, 2014.
  26. ASTM D113-23; Standard Test Method for Ductility of Asphalt Materials. ASTM International: West Conshohocken, PA, USA, 2023.
  27. ASTM D4402/D4402M-23; Standard Test Method for Viscosity Determination of Asphalt at Elevated Temperatures. ASTM International: West Conshohocken, PA, USA, 2023.
  28. JTG E20-2011; Standard Test Methods of Bitumen and Bituminous Mixtures for Highway Engineering. Ministry of Transport of the People’s Republic of China: Beijing, China, 2011.
  29. Guo, M.; Guan, M.; Tan, Y.; Du, X. Using rheology to study the effect of aging on fatigue performance of asphalt binder. Road Mater. Pavement Des. 2025, 1–21. [Google Scholar] [CrossRef]
  30. Rowe, G.M.; King, G.; Anderson, M. The influence of binder rheology on the cracking of asphalt mixes in airport and highway projects. J. Test. Eval. 2014, 42, 1–10. [Google Scholar] [CrossRef]
  31. Safaei, F.; Castorena, C. Material nonlinearity in asphalt binder fatigue testing and analysis. Mater. Des. 2017, 133, 376–389. [Google Scholar] [CrossRef]
  32. Riccardi, C.; Indacoechea, I.; Wang, D.; Lastra-González, P.; Falchetto, A.C.; Castro-Fresno, D. Low temperature performances of fiber-reinforced asphalt mixtures for surface, binder, and base layers. Cold Reg. Sci. Technol. 2023, 206, 103738. [Google Scholar] [CrossRef]
  33. Marasteanu, M.; Ghosh, D.; Cannone Falchetto, A.; Turos, M. Testing protocol to obtain failure properties of asphalt binders at low temperature using creep compliance and stress-controlled strength test. Road Mater. Pavement Des. 2017, 18 (Suppl. 2), 352–367. [Google Scholar] [CrossRef]
  34. Moon, K.H.; Falchetto, A.C.; Hu, J.W. Investigation of asphalt binder and asphalt mixture low temperature creep properties using semi mechanical and analogical models. Constr. Build. Mater. 2014, 53, 568–583. [Google Scholar] [CrossRef]
  35. Le, T.H.; Chan, T.; Kurokawa, Y.; Inoue, H. Numerical simulation of deformation-induced temperature variations of a rubber ball under cyclic compression. Int. J. Solids Struct. 2022, 248, 111664. [Google Scholar] [CrossRef]
  36. Kocak, S.; Kutay, M.E. Effect of devulcanized rubber modification on the performance grade, fatigue cracking resistance, and rutting resistance of asphalt binders. J. Mater. Civ. Eng. 2021, 33, 04021248. [Google Scholar] [CrossRef]
  37. Teshale, E.Z.; Moon, K.H.; Turos, M.; Marasteanu, M. Pressure aging vessel and low-temperature properties of asphalt binders. Transp. Res. Rec. 2011, 2207, 117–124. [Google Scholar] [CrossRef]
  38. Yu, T.; Chen, Z.; Zhao, F.; Ji, X.; Wang, M. Analysis of gestation, emergence and development behavior for asphalt microcrack topography based on FEM-MD. Fuel 2025, 395, 135271. [Google Scholar] [CrossRef]
  39. Meng, Y.; Yao, Q.; Mo, S.; Zhang, C.; Tan, S.; Wei, L. The influence of acid rain on asphalt and its mixture performance, simulation and micro-mechanism exploration. Fuel 2025, 379, 133010. [Google Scholar] [CrossRef]
  40. Berkowitz, M.; Filipovich, M.; Baldi, A.; Hesp, S.A.; Aguiar-Moya, J.P.; Loría-Salazar, L.G. Oxidative and thermoreversible aging effects on performance-based rheological properties of six Latin American asphalt binders. Energy Fuels 2019, 33, 2604–2613. [Google Scholar] [CrossRef]
  41. Abdrabou, M.K.; Han, X.; Zeng, Y.; Zheng, Y. Optimization of iron-based catalyst for partial upgrading of Athabasca Bitumen: The role of Fe oxidation state, particle size, and concentration. Fuel 2024, 357, 129941. [Google Scholar] [CrossRef]
  42. Yang, B.; Li, H.; Sun, Y.; Zhang, H.; Liu, J.; Yang, J.; Zhang, X. Chemo-rheological, mechanical, morphology evolution and environmental impact of aged asphalt binder coupling thermal oxidation, ultraviolet radiation and water. J. Clean. Prod. 2023, 388, 135866. [Google Scholar] [CrossRef]
  43. Li, Y.; Li, H.; Nie, S.; Wu, S.; Liu, Q.; Li, C.; Shu, B.; Li, C.; Song, W.; Pang, L. Negative impacts of environmental factors (UV radiation, water and different solutions) on bitumen and its mechanism. Constr. Build. Mater. 2020, 265, 120288. [Google Scholar] [CrossRef]
  44. Qian, G.; Yu, H.; Jin, D.; Bai, X.; Gong, X. Different water environment coupled with ultraviolet radiation on ageing of asphalt binder. Road Mater. Pavement Des. 2020, 22, 2410–2423. [Google Scholar] [CrossRef]
  45. Lin, J.; Hong, J.; Liu, J.; Wu, S. Investigation on physical and chemical parameters to predict long-term aging of asphalt binder. Constr. Build. Mater. 2016, 122, 753–759. [Google Scholar] [CrossRef]
Figure 1. Field sites for all-weather aging tests in: (a) Gansu; (b) Shandong; (c) Beijing.
Figure 1. Field sites for all-weather aging tests in: (a) Gansu; (b) Shandong; (c) Beijing.
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Figure 2. Monthly average variations in temperature of different regions.
Figure 2. Monthly average variations in temperature of different regions.
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Figure 3. Monthly average variations in UV radiation of different regions.
Figure 3. Monthly average variations in UV radiation of different regions.
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Figure 4. Monthly average variations in relative humidity of different regions.
Figure 4. Monthly average variations in relative humidity of different regions.
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Figure 5. Monthly average variations in wind speed of different regions.
Figure 5. Monthly average variations in wind speed of different regions.
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Figure 6. AWA test for asphalt binders: (a) before AWA; (b) after AWA.
Figure 6. AWA test for asphalt binders: (a) before AWA; (b) after AWA.
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Figure 7. G-R parameters of asphalt binders after AWA in different regions.
Figure 7. G-R parameters of asphalt binders after AWA in different regions.
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Figure 8. S-value of asphalt binders after AWA in different regions.
Figure 8. S-value of asphalt binders after AWA in different regions.
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Figure 9. S-value at −12 °C of asphalt binders after AWA in different regions.
Figure 9. S-value at −12 °C of asphalt binders after AWA in different regions.
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Figure 10. FTIR spectrogram of asphalt binders after AWA in different regions.
Figure 10. FTIR spectrogram of asphalt binders after AWA in different regions.
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Figure 11. Functional group indexes of asphalt binders after AWA in different regions.
Figure 11. Functional group indexes of asphalt binders after AWA in different regions.
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Figure 12. Pearson correlation results between indexes of asphalt binders.
Figure 12. Pearson correlation results between indexes of asphalt binders.
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Figure 13. Correlation analysis results between field observation factors and aging indicators of asphalt binders after AWA in different regions: (a) Gansu; (b) Shandong; (c) Beijing.
Figure 13. Correlation analysis results between field observation factors and aging indicators of asphalt binders after AWA in different regions: (a) Gansu; (b) Shandong; (c) Beijing.
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Table 1. Basic technical indexes of 90# virgin asphalt binder.
Table 1. Basic technical indexes of 90# virgin asphalt binder.
PropertiesResultsStandardsMethods
Penetration (25 °C, 100 g, 5 s)/0.1 mm81.880–100ASTM D5 [24]
Softening point (R&B)/°C46≥44ASTM D36 [25]
Ductility (5 cm/min, 10 °C)/cm102≥30ASTM D113 [26]
Viscosity (60 °C)/Pa·s144.5≥140ASTM D4402 [27]
Table 2. The abbreviations and definitions of meteorological parameters.
Table 2. The abbreviations and definitions of meteorological parameters.
AbbreviationDefinition
Tmax-GSMonthly average maximum temperature in Gansu
Tmin-GSMonthly average minimum temperature in Gansu
Tmax-SDMonthly average maximum temperature in Shandong
Tmin-SDMonthly average minimum temperature in Shandong
Tmax-BJMonthly average maximum temperature in Beijing
Tmin-BJMonthly average minimum temperature in Beijing
Table 3. The abbreviations and definitions of the AWA samples.
Table 3. The abbreviations and definitions of the AWA samples.
AbbreviationDefinition
GS-A6Samples after 6-month all-weather aging in Gansu
GS-A12Samples after 12-month all-weather aging in Gansu
SD-A6Samples after 6-month all-weather aging in Shandong
SD-A12Samples after 12-month all-weather aging in Shandong
BJ-A6Samples after 6-month all-weather aging in Beijing
BJ-A12Samples after 12-month all-weather aging in Beijing
Table 4. The abbreviations and definitions of AWA observation factors.
Table 4. The abbreviations and definitions of AWA observation factors.
AbbreviationDefinition
MMTDMonthly mean temperature difference
MMUVRMonthly mean ultraviolet radiation
MMPMonthly mean precipitation
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Guo, M.; Dong, Y.; Yin, X.; Guan, M.; Liang, M.; Wang, X.; Du, X. Analysis of Regional Differences in Asphalt Binder Under All-Weather Aging Based on Rheological and Chemical Properties. Materials 2025, 18, 2829. https://doi.org/10.3390/ma18122829

AMA Style

Guo M, Dong Y, Yin X, Guan M, Liang M, Wang X, Du X. Analysis of Regional Differences in Asphalt Binder Under All-Weather Aging Based on Rheological and Chemical Properties. Materials. 2025; 18(12):2829. https://doi.org/10.3390/ma18122829

Chicago/Turabian Style

Guo, Meng, Yixiang Dong, Xu Yin, Mingyang Guan, Meichen Liang, Xudong Wang, and Xiuli Du. 2025. "Analysis of Regional Differences in Asphalt Binder Under All-Weather Aging Based on Rheological and Chemical Properties" Materials 18, no. 12: 2829. https://doi.org/10.3390/ma18122829

APA Style

Guo, M., Dong, Y., Yin, X., Guan, M., Liang, M., Wang, X., & Du, X. (2025). Analysis of Regional Differences in Asphalt Binder Under All-Weather Aging Based on Rheological and Chemical Properties. Materials, 18(12), 2829. https://doi.org/10.3390/ma18122829

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