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Model‐Reference Health Monitoring of Hysteretic Building Structure Using Acceleration Measurement with Test Validation
Author(s) -
Shan Jiazeng,
Shi Weixing,
Lu Xilin
Publication year - 2016
Publication title -
computer‐aided civil and infrastructure engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.773
H-Index - 82
eISSN - 1467-8667
pISSN - 1093-9687
DOI - 10.1111/mice.12172
Subject(s) - acceleration , structural health monitoring , parametric statistics , kalman filter , stiffness , structural engineering , noise (video) , computer science , engineering , simulation , statistics , mathematics , artificial intelligence , physics , image (mathematics) , classical mechanics
A model‐reference health monitoring algorithm with two damage sensitive features is presented in this study, utilizing structural acceleration measurements from earthquake‐damaged building structure. A virtual linear healthy model, representing linear behavior of the instrumented structure, is used to generate real‐time reference response signals for health monitoring during a disastrous earthquake. The tracking error of acceleration and a relevant statistical factor are first proposed for identifying damage occurrence and location at story level. The severity of the hysteretic damage is estimated numerically using a model‐based prediction curve in an equivalent stiffness reduction manner with the implementation of robust Kalman filtering. The performance of damage detection and evaluation in the presented algorithm are illustrated by numerical simulation of structural models with different hysteretic characteristics, and further validated by experimental investigation employing a base‐isolated three‐story structure and real‐world case study of a seven‐story frame structure. The influence of measurement noise and uncertain stiffness in linear healthy model is also discussed through a parametric study .