Experimental Study on Critical Characteristics of Self-Organized Behavior of Concrete under Uniaxial Compression Based on AE Characteristic Parameters Information Entropy
Publication: Journal of Materials in Civil Engineering
Volume 34, Issue 7
Abstract
The purpose of this study is to clearly understand the self-organized critical phenomenon of concrete in the process of uniaxial compression. During the compression tests, acoustic emission (AE) waveform and its characteristic parameters were collected synchronously. The AE characteristic parameters information entropy was defined by combining information entropy theory with AE characteristic parameters in the time domain and frequency domain. Moreover, the evolution law of the AE characteristic parameters weighted information entropy composed of typical characteristic parameters in the time domain and the AE peak frequency information entropy in the frequency domain are obtained during the loading process. The results reveal that, as the stress grows, the AE characteristic parameters weighted information entropy of concrete shows an evolution characteristic of “descending, stabilizing and rising,” while the AE peak frequency information entropy shows the evolution characteristic of “ascending and declining.” Meanwhile, as the AE characteristic parameters weighted information entropy reaches the minimum value ( peak stress), the critical state of concrete ends. After that, the information entropy value increases rapidly, and the penetrating cracks initiate. When the specimen is destroyed, the information entropy value reaches the maximum. The evolution process of cracks in concrete, switching between a chaotic state that develops in random and an organized state that develops in order, follows certain laws (disordered–ordered–disordered), which corresponds well to the AE characteristic parameters weighted information entropy. The research results provide a new method for concrete damage monitoring based on AE.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
The authors highly appreciate the help from master’s students H. X. Hu and S. J. Chen in the College of Civil and Transportation Engineering, Hohai University, Nanjing, China. Their great help was essential to the success of the test. The authors are also grateful for the equipment technical support provided by the Structural Engineering Laboratory of Hohai University.
References
Abouhussien, A. A., and A. Hassan. 2019. “Assessment of crack development in engineered cementitious composites based on analysis of acoustic emissions.” J. Mater. Civ. Eng. 31 (6): 04019078. https://doi.org/10.1061/(ASCE)MT.1943-5533.0002690.
Alberto, C., L. Giuseppe, I. Stefano, and A. Federico. 2013. “The sacred mountain of Varallo in Italy: Seismic risk assessment by acoustic emission and structural numerical models.” Sci. World J. 17 (2): 1–10. https://doi.org/10.1155/2013/170291.
Baro, V. A. R., R. A. Ramachandran, R. Adaías Oliveira Matos, V. Badhe, and M. Mathew. 2021. “Prediction of tribocorrosion processes in titanium-based dental implants using acoustic emission technique: Initial outcome.” Mater. Sci. Eng., C 123 (Apr): 112–120. https://doi.org/10.1016/j.msec.2021.112000.
Bashkatova, Y., V. Karpin, A. Pahomov, and B. Umarov. 2015. “Evaluation chaotic parameters under cardio exertion.” J. New Med. Technol. J. 9 (3): 1–5. https://doi.org/10.12737/13372.
Bushev, M. 1994. Synergetics: Chaos, order, self-organization. Singapore: World Scientific.
Chai, M., Z. Zhang, and Q. Duan. 2017. “A new qualitative acoustic emission parameter based on Shannon’s entropy for damage monitoring.” Mech. Syst. Sig. Process. 100 (1): 617–629. https://doi.org/10.1016/j.ymssp.2017.08.007.
Christine, S., K. Ali, H. Yun, and M. Mohammad. 2017. “Damage assessment using information entropy of individual acoustic emission waveforms during cyclic fatigue loading.” Appl. Sci. 7 (6): 542–562. https://doi.org/10.3390/app7060562.
Cong, P., C. Gu, and J. Wang. 2008. “Application of entropy theory in the analysis of concrete crack propagation process.” J. Basic Sci. Eng. 16 (1): 50–56. https://doi.org/10.3969/j.issn.1005-0930.2008.01.007.
Das, A. K., and C. Leung. 2019. “Power spectral entropy of acoustic emission signal as a new damage indicator to identify the operating regime of strain hardening cementitious composites.” Cem. Concr. Compos. 104 (10): 406–414. https://doi.org/104.10.1016/j.cemconcomp.2019.103409.
Hershey, D. 2009. Entropy theory of aging systems. London: World Scientific Publishing.
Ji, H. 2001. “Application of acoustic emission technique to predict unstable fracture in concrete.” China Civ. Eng. J. 34 (5): 15–19. https://doi.org/10.3321/j.issn:1000-131X.2001.05.003.
Jing, Y., Y. U. Guangming, W. Zhao, L. Xing, and L. U. Shibao. 2012. “Synergy effects and chaos effects of AE laws of the concrete.” J. Shandong Univ. Sci. Technol. 31 (4): 80–84. https://doi.org/10.3969/j.issn.1672-3767.2012.04.012.
Karimian, S. F., M. Modarres, and H. A. Bruck. 2020. “A new method for detecting fatigue crack initiation in aluminum alloy using acoustic emission waveform information entropy.” Eng. Fract. Mech. 223 (1): 771–782. https://doi.org/10.1016/j.engfracmech.2019.106771.
Lee, J. W., H. Kim, and T. M. Oh. 2020. “Acoustic emission characteristics during uniaxial compressive loading for concrete specimens according to sand content ratio.” KSCE J. Civ. Eng. 24 (9): 2808–2823. https://doi.org/10.1007/s12205-020-5697-0.
Li, Z., Y. Liu, Z. Yao, X. Xu, Y. Wu, and T. O. Pla. 2019. “Mechanical damage model of concrete based on energy dissipation.” China Civ. Eng. J. 52 (1): 23–30. https://doi.org/10.15951/j.tmgcxb.2019.s1.004.
Narayan, S., and L. Anand. 2019. “A gradient-damage theory for fracture of quasi-brittle materials.” J. Mech. Phys. Solids 129 (8): 119–146. https://doi.org/10.1016/j.jmps.2019.05.001.
Ohtsu, M. 2008. Acoustic emission testing. Berlin: Springer.
Ren, H., J. Ning, S. Song, and Z. Wang. 2020a. “Investigation on crack growth in concrete by moment tensor analysis of acoustic emission.” Chin. J. Theor. Appl. Mech. 56 (6): 1830–1840. https://doi.org/10.6052/0459-1879-19-170.
Ren, S., L. Wang, K. Xie, D. Jiang, and X. Jiang. 2020b. “Experimental study on critical characteristics of shale tension compression failure based on acoustic emission counting information entropy.” J. Chongqing Jiaotong Univ. Nat. Sci. 29 (8): 101–107. https://doi.org/10.3969/j.issn.1674-0696.2020.08.16.
Ridgley, K. E., A. A. Abouhussien, A. Hassan, and B. Colbourne. 2018. “Evaluation of abrasion resistance of self-consolidating rubberized concrete by acoustic emission analysis.” J. Mater. Civ. Eng. 30 (8): 04018196. https://doi.org/10.1061/(ASCE)MT.1943-5533.0002402.
Rosa, J., A. A. Pérez, J. Salas, and J. M. S. Fernández. 2015. “A novel measurement method for transient detection based in wavelets entropy and the spectral kurtosis: An application to vibrations and acoustic emission signals from termite activity.” Measurement 68 (1): 58–69. https://doi.org/10.1016/j.measurement.2015.02.044.
Rossi, P., J. L. Robert, J. P. Gervais, and D. Bruhat. 1989. “Acoustic emission applied to study crack propagation in concrete.” Mater. Struct. 22 (5): 374–384. https://doi.org/10.1007/BF02472508.
Shannon, C. E., and W. Weaver. 1949. “The mathematical theory of communication.” Philos. Rev. 60 (3): 131–144. https://doi.org/10.2307/2181879.
Streltsova, T., D. Berestin, D. Gorbunov, and N. Chernikov. 2016. “Entropy in the evaluation of tremor parameters from the position of the chaos theory and self-organization.” J. New Med. Technol. J. 10 (1): 112–138. https://doi.org/10.12737/18451.
Tang, Y., Z. Jang, Z. Zhou, Y. Zhang, Q. Yuan, and Y. Yang. 2019. “Acoustic emission analysis of damage process of carbon fiber reinforced epoxy composite bolt connection structure under tensile load.” Acta Materiae Compos. Sinica 36 (8): 1854–1863. https://doi.org/10.13801/j.cnki.fhclxb.20181009.001.
Wang, C. 2020. “Experimental investigation on predicting precursory changes in entropy for dominant frequency of rockburst.” J. Central South Univ. 27 (10): 2834–2848. https://doi.org/10.1007/s11771-020-4506-8.
Wang, C., Z. Liao, L. I. Changfeng, Z. Chen, F. Shi, and L. Guangyong. 2019a. “Experimental investigation of dynamic characteristics of AE spatio-temporal entropy for granitic rockburst.” J. Min. Saf. Eng. 36 (3): 626–633. https://doi.org/10.13545/j.cnki.jmse.2019.03.025.
Wang, Y., L. Ge, and T. Zhang. 2019b. “Discussion of the definition for acoustic emission event in the time series of concrete damage process.” Russ. J. Nondestr. Test. 55 (2): 129–135. https://doi.org/10.1134/S1061830919020104.
Wang, Y., H. Hu, N. Wang, C. Yan, and L. Zhou. 2017. “Experimental study of effects of water-cement ratio on the acoustic emission rate ‘a’ values in concrete.” Russ. J. Nondestr. Test. 53 (9): 620–635. https://doi.org/10.1134/S1061830917090091.
Wang, Y., N. Wang, Z. Wang, Y. Chen, and H. Zhao. 2020. “Experimental study on AE characteristics of granite under uniaxial tension at different strain rates.” J. Wuhan Univ. Technol. Mater. 35 (4): 691–698. https://doi.org/10.1007/s11595-020-2309-2.
Xiang, C., J. Cheng, Y. Zhou, F. Mao, and L. Wang. 2017. “Research on entropy change of concrete cracking evolution based on dissipative system.” J. Lanzhou Univ. Technol. 43 (3): 122–126. https://doi.org/10.3969/j.issn.1673-5196.2017.03.024.
Yu, X., and Z. Y. Bao. 2016. “Synergetics effect and thermo elastic instabilities of evolution of concrete damage.” J. East China Jiaotong Univ. 23 (1): 12–15. https://doi.org/10.3969/j.issn.1005-0523.2006.01.004.
Zhang, Y., P. Liang, X. Liu, S. Liu, and B. Tian. 2015. “Experimental study on precursor of rock burst based on acoustic emission signal dominant-frequency and entropy.” Chin. J. Rock Mech. Eng. 1 (Apr): 2959–2967. https://doi.org/10.13722/j.cnki.jrme.2014.0654.
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Published In
Journal of Materials in Civil Engineering
Volume 34 • Issue 7 • July 2022
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Jun 10, 2021
Accepted: Nov 10, 2021
Published online: Apr 25, 2022
Published in print: Jul 1, 2022
Discussion open until: Sep 25, 2022
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