This work uses post-embedded piezoceramic transducers in a distributed intelligent sensor network to detect the force-related signals of an RC infilled wall specimen under dynamic loading. Two RC wall specimens under static cyclic loading and four RC wall specimens under dynamic loading are used in this work. In the experiment with each specimen, six post-embedded piezoceramic transducers are used as sensors of force-related signals. Results of analyses reveal a strong correlation between the signals of the piezoceramic sensor and the force that was applied by the dynamic actuator. Based on the force-related signals from the piezoceramic sensors, a damage quantification method that is based on an estimated equivalent viscous damping ratio (EVDR) is proposed for an RC infilled wall in an earthquake. Additionally, a case study of the RC columns is performed to verify the effectiveness of the proposed EVDR-based damage quantification method using piezoceramic sensors.

这项工作使用分布式智能传感器网络中的后嵌入压电陶瓷换能器来检测动态加载下 RC 填充墙试样的力相关信号。在这项工作中使用了两个静态循环加载下的 RC 墙试件和四个动态加载下的 RC 墙试件。在每个样本的实验中，六个后嵌入压电陶瓷换能器用作力相关信号的传感器。分析结果表明，压电陶瓷传感器的信号与动态执行器施加的力之间存在很强的相关性。基于来自压电陶瓷传感器的力相关信号，提出了一种基于估计等效粘滞阻尼比 (EVDR) 的损伤量化方法，用于地震中的钢筋混凝土填充墙。此外，