Quantitative approach for damage detection of reinforced concrete frames

作     者：Yoshio Kaneko Akira Mita Hirozo Mihashi 

作者机构：Dept.of Architecture & Building ScienceTohoku UniversitySendai 980-8579Japan Associate Professor Dept.of System Design EngineeringKeio UniversityYokohama 223-8522Japan Professor 

出 版 物：《Earthquake Engineering and Engineering Vibration》 (地震工程与工程振动（英文刊）)

年 卷 期：2003年第2卷第1期

页      面：147-158页

核心收录：

学科分类：08[工学] 081402[工学-结构工程] 081304[工学-建筑技术科学] 0813[工学-建筑学] 0814[工学-土木工程] 

基　　金：Ministry of Education Science Sports and Culture Grant-in-Aid for Scientific Research(Base Research(c)(1) Research No.14550555) 

主　　题：nonlinear FEM analysis structural health monitoring reinforced concrete structure story stiffness rotation angle of column-base 

摘      要：The objective of this paper is to provide an analytical basis for the quantitative evaluation of damage to a reinforced concrete structure based on the vibration data obtained by using the damage detection technique. A partial reinforced concrete system of a weak beam/strong column moment frame is chosen as an example. A pushover analysis is carried out in order to numerically examine both the story shear-relative displacement characteristics and the associated damage level. In the analysis, a two dimensional nonlinear finite element analysis is employed considering several constitutive models. As a result, the degradation of the stiffness at the damaged story is characterized in association with the story relative displacement. It is also pointed out that the rotation angle of the column-base is highly correlated with the story relative displacement. Based on the analytical findings, quantitative approaches for a structural health monitoring system are suggested considering both the current sensor technologies and those available in the future. Keywords nonlinear FEM analysis - structural health monitoring - reinforced concrete structure - story stiffness - rotation angle of column-base Supported by: Ministry of Education, Science, Sports and Culture, Grant-in-Aid for Scientific Research (Base Research (c) (1), Research No. 14550555)