A technique for monitoring the process of repairing crack based on a concrete implantable module and a data fusion algorithm
YANG Ziqian1,2,CHEN Qingjun1,2,SUN Xiangtao1,2,KONG Qingzhao1,2
1.State Key Lab of Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China;
2.Department of Disaster Mitigation for Structures, Tongji University, Shanghai 200092, China
Abstract：Crack repairing receives increasing attentions for aging and damaged concrete structures. Real-time assessment of crack repairing process is of great significance to timely ensure the structural performance recovery condition in construction. An innovative technique for monitoring the process of crack repairing was presented, including a novel concrete implantable module design, a data fusion-based method to evaluate the repairing work. The designed module can be implanted into structure to actuate and receive multi-path stress waves using the embedded piezoceramic sensing elements array. The sampling data in different moments can be fused in the Minkowski distance for a comprehensive reflection of the repairing work. The finite element study reveals the characteristic of stress-wave propagation at the repairing crack interface. Relative energy and correlation coefficient fused by Minkowski distance are proposed to access the crack repair work, respectively; their feasibility to characterize the hydration process of repairing material is demonstrated via a three-dimensional model. Finally, an experimental study was conducted to verify the feasibility of the proposed technique using for monitoring the crack repairing process.
杨子谦1,2，陈清军1,2，孙祥涛1,2，孔庆钊1,2. 基于混凝土植入式模块与数据融合的裂缝修复监测技术[J]. 振动与冲击, 2023, 42(8): 186-193.
YANG Ziqian1,2,CHEN Qingjun1,2,SUN Xiangtao1,2,KONG Qingzhao1,2 . A technique for monitoring the process of repairing crack based on a concrete implantable module and a data fusion algorithm. JOURNAL OF VIBRATION AND SHOCK, 2023, 42(8): 186-193.
[1] Ohno K, Ohtsu M. Crack classification in concrete based on acoustic emission. Construction and Building Materials. 2010, 24(12):2339-2346.
[2] 王飞阳, 黄宏伟, 张东明, 孙龑. 带裂缝服役混凝土结构力学性能的多尺度模拟方法[J]. 建筑结构学报，2019, 40(12):155-162.
WANG Fei-yang, HUANG Hong-wei, ZHANG Dong-ming, SUN Yan. Multi scale simulation method of mechanical behaviors of existing concrete structure with crack [J]. Journal of Building Structures, 2019, 40(12):155-162.
[3] 叶列平, 方鄂华. 钢骨混凝土构件的受力性能研究综述[J] 土木工程学报，2000, 33(5):1-12.
YE Lieping,FANG Ehua. [J]. China Civil Engineering Journal, 2000, 33(5):1-12.
[4] Kong QZ, Robert RH, Silva P, Mo YL. Cyclic Crack Monitoring of a Reinforced Concrete Column under Simulated Pseudo-Dynamic Loading Using Piezoceramic-Based Smart Aggregates. Applied Sciences-Basel. 2016, 6(11).
[5] Lin P, Guan JF, Peng HY, Shi J. Horizontal cracking and crack repair analysis of a super high arch dam based on fracture toughness. Engineering Failure Analysis. 2019, 97:72-90.
[6] 徐郁峰, 梁立农, 宋神友. 某连续刚构桥底板崩裂后的修补方法及其有限元仿真分析[J]. 桥梁建设，2007, (4):70-74.
XU Yu-feng, LIANG Li-nong, SONG Shen-you. Repairing method and finite element simulation analysis of bottom slab with bursting cracks of a continuous rigid-frame bridge [J]. Bridge Construction, 2007, (4):70-74.
[7] Feng Q, Cui J, Wang Q, Fan S, Kong QJM. A feasibility study on real-time evaluation of concrete surface crack repairing using embedded piezoceramic transducers[J]. Measurement ,2018, 122:591-596.
[8] 徐勇. 多孔并联化灌工艺在混凝土裂缝处理中的应用. 第十三次全国化学灌浆学术交流会论文集[C]. 天津, 2010:324-327.
[9] 唐清华. 混凝土裂缝注胶修补技术初探[J]. 广东建材，2005, (12):20-21.
TANG Qinghua. [J].Guangdong Building Materials, 2005 (12):20-21.
[10] Bhalla S, Soh CK. Structural health monitoring by piezo-impedance transducers. I: Modeling. Journal of Aerospace Engineering. 2004, 17(4):154-165.
[11] 孙威, 阎石, 姜绍飞, 陈鑫. 基于压电陶瓷传感器的钢筋混凝土框架结构裂缝损伤全过程监测[J]. 建筑科学与工程学报，2013, 30(4):84-90.
SUN Wei, YAN Shi, JIANG Shao-fei, CHEN Xin. Cracking Damage Process Monitoring of RC Frame Structure Based on Piezoelectric Ceramic Transducers[J]. Journal of Architecture and Civil Engineering. 2013, 30(4):84-90.
[12] 王丹生, 朱宏平, 陈晓强, 周建锋. 利用压电自传感驱动器进行裂纹钢梁损伤识别的实验研究[J]. 振动与冲击，2006, 25(6):138-142.
WANG Dansheng,ZHU Hongping,CHEN Xiaoqiang, et al. Experimental study on damage identification in a cracked beam through piezoelectric self-sensing actuators[J]. Journal of Vibration and Shock, 2006, 25(6):138-142.
[13] Xu K, Kong Q, Chen S, Song GJISJ. Early determination of the presence of low strength concrete in reinforced concrete beam-column joints using piezoceramic-based transducers[J]. IEEE Sensors Journal ,2017, 17(11):3244-3250.
[14] Bhalla S, Soh CK. Electromechanical impedance modeling for adhesively bonded piezo-transducers. Journal of Intelligent Material Systems and Structures. 2004, 15(12):955-972.
[15] Ai DM, Lin CX, Zhu HP. Embedded piezoelectric transducers based early-age hydration monitoring of cement concrete added with accelerator/retarder admixtures. Journal of Intelligent Material Systems and Structures. 2021, 32(8):847-866.
[16] Yu Y, Dackermann U, Li JC, Niederleithinger E. Wavelet packet energy-based damage identification of wood utility poles using support vector machine multi-classifier and evidence theory. Structural Health Monitoring-an International Journal. 2019, 18(1):123-142.
[17] 姜绍飞, 胡春明. 基于模态指标与数据融合的钢管混凝土拱桥损伤识别[J]. 振动与冲击，2009, 28(12): 91-95.
JIANG Shaofei,HU Chunming. Structural damage identification based on modal indices and data fusion for an arch bridge of concrete-filled steel tube [J]. Journal of Vibration and Shock, 2009, 28(12): 91-95.
[18] S.L. Fan, S.Y. Zhao, Q.Z. Kong, G.B. Song, An embeddable spherical smart aggregate for monitoring concrete hydration in very early age based on electromechanical impedance method, Journal of Intelligent Material Systems and Structures, 32 (2021) 537-548
[19] 水泥基灌浆材料应用技术规范：GB/T50448-2015[S]. 北京：中国建筑工业出版社，2015.
