10.26180/5cfefc493e7b3 LEIFENG SHI LEIFENG SHI Study of Mechanical and Electrical Properties of Engineered Cementitious Composites for Self-sensing Application Monash University 2019 engineered cementitious composite (ECC) self-sensing artificial neural network (ANN) discrete element method (DEM) electrical resistivity tomography (ERT) Civil Engineering not elsewhere classified 2019-06-11 00:56:39 Thesis https://bridges.monash.edu/articles/thesis/Study_of_Mechanical_and_Electrical_Properties_of_Engineered_Cementitious_Composites_for_Self-sensing_Application/8251532 This study investigated the self-sensing behaviour of engineered cementitious composites (ECCs) for cracking development monitoring, supported by innovative technologies, e.g. discrete element method (DEM) and artificial neural network (ANN). These approaches helped to understand both mechanical and electrical properties of ECCs so as to optimise the design ECCs. A probabilistic imaging based electrical resistivity tomography (ERT) method was applied for crack detection and monitoring for ECCs.