Abstract

Info

Title:: Study on Structural Damage Identification by Static Virtual Distortion Method

Author(s):: LI Hong-nan; LIN Shi-wei; YI Ting-hua; School of Civil Engineering, Dalian University of Technology

Keywords:: structural health monitoring; damage identification; virtual distortion method; static analysis; sequential quadratic programming

Abstract:: In order to improve the computing efficiency of large structure damage identification, the static virtual distortion method (VDM) was introduced and coupled with the sequential quadratic programming (SQP) algorithm to realize the damage localization and damage quantification. Firstly, based on the basic principle of VDM, the relationship between the damage factor and the virtual distortion was deduced. Secondly, SQP algorithm was used to optimize the objective function which was established by damage strain and actual damage strain, and the fast computation of structural damage identification was realized. Finally, a finite element model of actual bridge was taken as example, and the damage identification of suspenders were studied by the numerical simulation. Two conditions of real time monitoring based on constant load and periodical detection based on vehicle static load were designed to verify the proposed method. The results show that the proposed method can rapidly and accurately identify the damage location and degree.