Repeated Drop-Weight Impact Testing of Fibrous Concrete: State-Of-The-Art Literature Review, Analysis of Results Variation and Test Improvement Suggestions
Abstract
:1. Introduction
2. Research Significance
3. Previous Literature on the Statistical Evaluation of ACI 544-2R Impact Results
3.1. Normal Distribution
3.2. Weibull Distribution
Reference | Concrete Type | Number of Specimens Tested per Mix | Fiber Type | Fiber Content | Compressive Strength (MPa) | COV (%) | Statistical Technique |
---|---|---|---|---|---|---|---|
Soroushian et al. 1992 [34] | Carbon-fiber-reinforced cement composites | 30 (two patches of 15) | CF | 2% | 28.6 | 36.3–54.6% | Normal probability |
Nataraja et a. 1999 [32] | Steel-fiber-reinforced concrete | 15 | SF | 0.5% | 29.4–36 | 46–57.3% | Normal probability |
Song et al. 2005 [39] | Hybrid steel-PP-fiber-reinforced concrete | 48 | SF, PP | 0.5% SF 0.1% PP | 24.2–25.6 | 41–59% | Normal probability and Kolmogorov–Smirnov test |
Song et al. 2005 [29] | High-strength fiber-reinforced concrete | 48 | SF | 1% | 66–76 | 41–44% | Normal probability and Kolmogorov–Smirnov test |
Badr et al. 2006 [35] | PP-fiber-reinforced concrete | 20 | PP | 3 kg/m3 | 41.3 | 48.7–61.4% | Normal probability |
Rahmani et al. 2012 [36] | Plain concrete, fiber-reinforced concrete | 32 | CE, PP, SF | 0.15, 0.15, 0.5% | 41.9–43.2 | 39–65% | Normal probability, Kolmogorov–Smirnov and Kruskal–Wallis test |
Mastali et al. 2016 [45] | Glass-fiber-reinforced polymer self-compacting concrete | 4 (plain concrete) and 40 for fibrous mixtures | GFRP | 0.25, 0.75, 1.25% | 50.2–59.2 | 36.8–43.9% | Normal probability and Kolmogorov–Smirnov test |
Fakharifar et al. 2014 [48] | High-performance fiber-reinforced cementitious composites | 40 | PP | 0.5–1.0% | 46.1–55.3 | 40–47% | Normal probability, Kolmogorov–Smirnov. Ryan–Joiner and Anderson–Darling tests. |
Murali et al. 2018 [49] | Green, high-performance fiber-reinforced concrete | 40 | SF | 0.5 | - | 39–48% | Normal probability and Kolmogorov–Smirnov test |
Mohammadhosseini et al. 2018 [57] | Fiber-reinforced concrete | 3 | WMPF | 0–1.25% | Different ages | - | Normal probability and Kolmogorov–Smirnov test |
Jabir et al. 2020 [51] | Hybrid-fiber-reinforced reactive powder concrete | 12 | SF, PP | 2.5% | 75.2–82.8 | 36–49% | Normal probability |
Abid et al. 2020 [69] | Steel-fiber-reinforced high-performance concrete | 15 | SF | 2.5% | 81.7 | 21.2–57.8% | Normal probability |
Chen et al. 2011 [70] | Steel-fiber-reinforced concrete | 6 | SF | 0.5% | 66.1–67.3 | 23–75% | Two-parameter Weibull distribution |
Ali et al. 2017 [54] | Engineered cementitious composite | 3 | PVA and SMA | (0, 2.0% PVA) (0.5, 1.0, 1.5% SMA) | - | - | Two-parameter Weibull distribution |
Abirami et al. 2019 [37] | Multi-layered grouted fiber-reinforced concrete, Slurry infiltrated fibrous concrete | 6 | SF | 1–10% | 34.2–61.8 | - | Two-parameter Weibull distribution |
Asrani et al., 2019 [40] | Hybrid fibrous geopolymer composites | 5 | SF, PP, GF | 0.3–1.6% | 62.4–84.6 | 14.9–50.8% | Two-parameter Weibull distribution |
Murali et al., 2019 [71] | Two-stage fiber-reinforced concrete | 15 | SF | 1.5–5.0% | 33.3–51.3 | 9–53% | Two-parameter Weibull distribution |
Jabir et al. 2020 [52] | High-performance fiber-reinforced concrete | 12 | SF, PP | 2.5% | 75.2–82.8 | 35.7–48.8% | Two-parameter Weibull distribution |
Murali et al. 2020 [58] | Multi-layered preplaced aggregate fibrous concrete | 6 | SF | 2.5% | 33.3–48.5 | 16.8–46.2% | Two-parameter Weibull distribution |
Haridharan et al. 2020 [62] | Multi-layered grouted fiber-reinforced concrete | 6 | SF | 0, 3% | 32.4–54.7 | 17–66% | Two-parameter Weibull distribution |
Prasad and Murali 2021 [63] | Preplaced aggregate fibrous concrete | 15 | SF, PP | 2.4% | 31.6–50.3 | - | Two-parameter Weibull distribution |
4. Evaluation of Statistical Variation of the ACI 544-2R Repeated Impact Test
5. Suggested Modifications to the ACI 544-2R Repeated Impact Test
5.1. Previous Literature Works
5.2. Discussion of Scattering of Results and the Literature Suggestions
6. Conclusions
- Although several available test procedures can evaluate the material and structural performance of concrete under impact loads, the ACI 544-2R repeated impact procedure is the simplest to perform and the one that requires the lowest cost and efforts, where no sophisticated data acquisition system and sensors are required to record the force, vibration, deflection, strain or other physical parameters. Instead, only the number of repeated impact blows needed to cause the cracking and failure of the test specimens are required.
- The main disadvantage of the ACI 544-2R repeated impact test is the high scattering of the test results, where for a batch of specimens, COV values of 30 to 50% are frequent in the cracking and failure stages. The high result scattering is a source of discomfort for engineers who need experimental test results to make their decisions, which reduces the reliability of the current test procedure, where the number of test replications required to afford 90% reliability with 10% acceptable error increases with the increase in COV reaching more than 30 replications.
- Most of the reviewed literature showed that the repeated impact test results do not agree with the normal distribution or barely follow the normal distribution. On the other hand, the two-parameter Weibull distribution was reported by many previous researchers as a good statistical tool to analyze the high result dispersion of the ACI 544-2R repeated impact test.
- The statistical analysis of the available literature test results revealed that most of the mixture parameters have no significant effect on the degree of scattering of the results of the ACI 544-2R repeated impact test. The coefficient of determinations of COV with compressive strength, binder content, aggregate content, aggregate maximum size, water–binder ratio, fiber length and number of specimens were in general less than 0.5, which explicitly reveals that there is no correlation between these factors and the scattering of results. However, it was noticed that a weak correlation (R2 = 0.615) showed a tendency of COV to decrease with the increase in fiber content in the mixture.
- Badr and Ashour [73] identified five sources that cause the high scattering of the results of the ACI 544-2R repeated impact test. These sources can be summarized as: (i) cracks are allowed to occur along any direction, which makes the (ii) definition of accepted failure not suitable, and leads to the (iii) absence of a specific criterion to accept or reject the failed specimens, and (iv) the application of the load on a single central point and (v) the surface treatment of the specimens (cast and toweled or cut) are other result-scattering sources.
- Badr and Ashour [73] suggested using specimens with triangular edge notches to encourage cracking and hence failure across a specific path along the opposite notches, which could make it easier to define a criterion for accepting the failed specimens. The standard single impact point through the steel ball was replaced by a 50 mm length central line load, which also helped to specify the cracking path. To overcome the defined sources of result scattering, Abid et al. [69] suggested using a 3 mm wide and 5 mm deep surface diagonal notch to specify the cracking and failure path. To ensure that cracking would only occur along the specified path, the surface steel ball was replaced by a knife-like load-transferring plate, while soft sand bedding was suggested to be used beneath the specimens instead of the stiff steel plate to relieve the stress concentration.
- Badr and Ashour [73] reported that the COV of the impact results was reduced by approximately 30% when the suggested modified procedure was adopted instead of the standard ACI 544-2R procedure, while Abid et al. [69] revealed that the best of the suggested cases was the use of a surface line notch with sand bedding, which led to a significant reduction in the COV by approximately 60% compared to the ACI 544-2R standard procedure. Subsequent researchers confirmed the reduction in the scattering of results when using the suggested test setups of Badr and Ashour and Abid et al.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
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Abid, S.R.; Murali, G.; Ahmad, J.; Al-Ghasham, T.S.; Vatin, N.I. Repeated Drop-Weight Impact Testing of Fibrous Concrete: State-Of-The-Art Literature Review, Analysis of Results Variation and Test Improvement Suggestions. Materials 2022, 15, 3948. https://doi.org/10.3390/ma15113948
Abid SR, Murali G, Ahmad J, Al-Ghasham TS, Vatin NI. Repeated Drop-Weight Impact Testing of Fibrous Concrete: State-Of-The-Art Literature Review, Analysis of Results Variation and Test Improvement Suggestions. Materials. 2022; 15(11):3948. https://doi.org/10.3390/ma15113948
Chicago/Turabian StyleAbid, Sallal R., Gunasekaran Murali, Jawad Ahmad, Thaar S. Al-Ghasham, and Nikolai Ivanovich Vatin. 2022. "Repeated Drop-Weight Impact Testing of Fibrous Concrete: State-Of-The-Art Literature Review, Analysis of Results Variation and Test Improvement Suggestions" Materials 15, no. 11: 3948. https://doi.org/10.3390/ma15113948
APA StyleAbid, S. R., Murali, G., Ahmad, J., Al-Ghasham, T. S., & Vatin, N. I. (2022). Repeated Drop-Weight Impact Testing of Fibrous Concrete: State-Of-The-Art Literature Review, Analysis of Results Variation and Test Improvement Suggestions. Materials, 15(11), 3948. https://doi.org/10.3390/ma15113948