International Journal of Distributed Sensor Networks • Vol 14 • No 7
Parameter identification for structural health monitoring based on Monte Carlo method and likelihood estimate
July 2018 • Songtao Xue, Bo Wen, Rui Huang, Liyuan Huang, Tadanobu Sato, Liyu Xie, Hesheng Tang, Chunfeng Wan
Structural parameters are the most important factors reflecting structural performance and conditions. As a result, their identification becomes the most essential aspect of the structural assessment and damage identification for the structural health monitoring. In this article, a structural parameter identification method based on Monte Carlo method and likelihood estimate is proposed. With which, parameters such as stiffness and damping are identified and studied. Identification effects subjected to three diffe…