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Healing performance on concrete under mode I fracture by ultrasonic testing using embedded transducers, acoustic emission and digital image correlation method

机译:用嵌入式换能器,声发射和数字图像相关方法,通过超声波检测愈合愈合性能下的模糊折断

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Crack formation is the main cause of concrete mechanical properties degradation. Autonomous self-healing (i.e.SH) encapsulation systems promise material recovery by filling the cracks with healing agent (providing healing and sealing). The cracking of concrete elements is experimentally investigated by mode-I failure tests in small-dimensioned concrete beams subjected to three-point bending tests. The perplexing fracture process phenomena require an advanced monitoring system. In this study, an optical method (i.e. Digital Image Correlation- DIC), Acoustic Emission (i.e. AE) and an ultrasonic wave propagation technique based on embedded piezoelectric transducers, are combined in order to evaluate the crack formation and opening of three concrete beams in which embedded SH encapsulated system is applied. The loading is applied in two stages. The initial loading is responsible for the crack initiation and formation as well as for the SH capsules breakage. After the healing agent is released and dried, the concrete samples are reloaded. The DIC technique calculates the crack opening and visualizes the crack formation and propagation path. In parallel, the features extracted by the AE technique quantify the fracture process at different loading stages and detect the regions in which healing occurs by indicating the SH capsule breakage. Finally, a few couples of low-cost PZT transducers based on the concept of Smart Aggregates (i.e. SMAGs) are embedded in the concrete beams for the estimation of the state of damage. Incorporation of the aforementioned fracture analysis provides a full-field view of concrete failure performance and is the keystone to characterize healing performance.
机译:裂缝形成是混凝土机械性能降解的主要原因。自治自我修复(即,封装系统通过用愈合剂填充裂缝(提供愈合和密封)来承诺材料恢复。通过在经过三点弯曲试验的小尺寸混凝土梁中进行实验研究了混凝土元件的开裂。令人困惑的裂缝过程现象需要先进的监控系统。在该研究中,组合了一种基于嵌入式压电换能器的光学方法(即数字图像相关 - DIC),声发射(即AE)和超声波传播技术,以评估三个混凝土梁的裂缝形成和开口应用了哪种嵌入式SH封装系统。加载以两个阶段应用。初始加载负责裂缝启动和形成以及SH胶囊破损。释放愈合剂并干燥后,重新加载混凝土样品。 DIC技术计算裂缝开口并可视化裂缝形成和传播路径。并行地,通过AE技术提取的特征在不同的装载阶段定量断裂过程,并通过表示SH胶囊断裂来检测愈合的区域。最后,基于智能聚集体的概念(即Smags)的较少的低成本PZT换能器的几个耦合嵌入在混凝土梁中,以估计损坏状态。掺入上述骨折分析提供了混凝土故障性能的全场视图,是核心特征愈合性能的基石。

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