1. Research Motivation
Many bridges in Taiwan predominantly utilize steel structure design, with connections between steel components primarily achieved through welding or bolted joints. However, after construction, these structures face challenges such as aging, deterioration, and extreme weather. Effective management and maintenance are crucial to ensure that these facilities perform as expected throughout their operational lifespan. Over time, bolts can gradually deteriorate due to prolonged external forces and fatigue effects, posing a potential hazard to overall structural safety. Traditional contact-based inspection methods, unfortunately, are time-consuming and labor-intensive, making it difficult to efficiently monitor large-scale bridge structures. This study utilizes infrared thermography to detect temperature changes in bolts. By combining image processing with temperature differences in curve graphs, it aims to differentiate the significant thermal variations observed under different torque conditions, specifically between standard torque values and insufficient pre-tightening forces.
2. Infrared Thermography Experimental Method
Steel structural materials are a common choice for bridges and large-scale engineering projects due to their superior mechanical properties and ductility. Connections between components are primarily established through welding and bolted joints. This research aims to delve into the behavior of bolted joints, utilizing infrared thermography to assess the thermal response characteristics of M12 high-strength bolts under varying pre-tightening torque conditions. By applying mechanical vibration to bolt-steel structure specimens, we precisely observe the differences in heat distribution generated by microscopic friction at their contact surfaces. This allows us to identify thermal signatures indicating whether the pre-tightening force is at the standard value or insufficient. The overall experimental design incorporates torque values from a torque wrench, active vibratory thermal energy, and continuous thermal image acquisition, combined with advanced data processing for temperature visualization and analysis. The thermal image data was captured using an NEC Avio R500EX-PRO infrared thermal imager, which provides a 600 × 340 pixel resolution [
1].
3. Experimental Methods
The specimen is an H-beam (
Table 1) steel structure measuring 70 × 30 × 15 cm. It is equipped with 8 M12 bolts, each subjected to varying torque values ranging from 1.3 N·m to 135.6 N·m, simulating both insufficient pre-tightening and standard torque conditions. To replicate the dynamic loads experienced by structures in the field, a HY-15DC small DC electric motor (3000 RPM) is used for vibration during the experiment. This vibration device is designed to induce minute friction and localized heat at the bolt contact surfaces, allowing for the identification of temperature differences through thermal imaging.
4. Experimental Analysis
The NEC Avio R500EX-PRO infrared thermal imager, with its 600 × 340 pixel resolution, effectively captures infrared energy radiated from object surfaces due to minute temperature changes (within the 8 to 14 μm wavelength range), converting it into real-time visual thermal images. Each pixel corresponds to a temperature value with physical significance. When a component, such as a bolt, experiences insufficient pre-tightening, friction, or external vibration, its localized temperature distribution will show abnormal changes. As the torque wrench applies different pre-tightening forces to the bolts, the frictional heat generated between the bolts and the H-beam during vibration also varies, leading to differing magnitudes of surface temperature increase. As shown in the figure,
Figure 1A (1st image) displays the initial thermal distribution; by
Figure 1B (5th image), a slight localized temperature rise is observable. By
Figure 1C (15th image) and
Figure 1D (26th image), the effects of vibration and friction become significant, with a more pronounced temperature increase in the bolt contact areas and a tendency for the hot zones to become concentrated. Similarly,
Figure 2A (1st image) through
Figure 2D (26th image) exhibit the corresponding changes under higher torque conditions.
These results demonstrate a positive correlation between bolt torque magnitude and thermal response behavior, which can be observed and interpreted over time using infrared thermal imaging. Specifically,
Figure 1A–D are grouped as
Figure 1 (When the torque value is: 1.3 N·m), while
Figure 2A–D are grouped as
Figure 2 (When the torque value is: 122 N·m).
All thermal images were exported in Excel format via InfReC Analyzer NS9500 analysis software, then subjected to further processing and analysis using custom MATLAB code, as depicted in
Figure 3A. To enhance the accuracy of temperature information and mitigate external noise interference, this study selected a 5 × 5 pixel area, indicated by the red box in
Figure 3B, as the representative temperature region for each bolt’s location. This allowed for the calculation of regional average temperature values, thereby establishing data stability for the thermal characteristics.
The temperature change is calculated by determining the regional average temperature value. The temperature change ΔT for each time point is calculated as shown in
Figure 4A, where T(N) represents the temperature at the Nth image, and T(1) is the baseline temperature at the initial time point. To minimize real-time noise and spike interference, all ΔT curves are smoothed using a three-point moving average, as depicted in
Figure 4B.
5. Summary
This research utilized infrared thermography to detect and analyze the heat energy and its distribution generated by microscopic friction between the steel plate and bolt contact surfaces on an H-beam steel structure when subjected to external vibration. Using the acquired thermal image data, the study transformed the average temperature changes in the bolt regions into continuous time-series line graphs via the MATLAB R2024b platform. This process incorporated smoothing techniques to effectively enhance the accuracy of trend identification.
The experimental results clearly show that the pre-tightening torque status of a bolt has a decisive influence on its thermal response pattern. When a bolt is insufficiently pre-tensioned, the reduced stability of its contact surfaces leads to more significant frictional effects. This results in a highly variable temperature increase trend observed in thermal images, and the temperature difference curves for individual bolts clearly exhibit a pronounced dispersion phenomenon. This suggests uneven heat accumulation or potential issues with poor contact.
In contrast, when the bolt torque value reaches or exceeds the standard specification range, the contact interface between the bolt and the steel structure becomes much tighter, leading to a significant reduction in frictional effects and, consequently, stable thermal behavior. In this state, the temperature change trends of individual bolts exhibit high consistency, and their temperature difference curves show stable and highly convergent characteristics. These observations clearly demonstrate that infrared thermography can effectively reflect the actual state of bolt connections, and through the specific curve graph patterns it presents, the current pre-tightening force status of bolts can be preliminarily identified.
Author Contributions
Conceptualization, W.-C.L. and K.-T.H.; software, W.-C.L.; validation, W.-C.L. and K.-T.H.; formal analysis, W.-C.L.; investigation, W.-C.L.; resources, W.-C.L.; data curation, W.-C.L.; writing—original draft preparation, W.-C.L.; writing—review and editing, W.-C.L.; visualization, W.-C.L.; supervision, K.-T.H. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflicts of interest.
Reference
- Chen, W.-C. Thermal Image Analysis of Building Facade. Master’s Thesis, Chaoyang University of Technology, Taichung City, Taiwan, 2018. [Google Scholar]
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