Damage detection of multistory shear buildings using partial modal data

Shah, Ankur; Vesmawala, Gaurang; Meruane, V

Abstract

This study implements a hybrid Genetic Algorithm to detect, locate, and quantify structural damage for multistory shear buildings using partial modal data. Measuring modal responses at multiple locations on a structure is both challenging and expensive in practice. The proposed method's objective function is based on the building???s dynamic properties and can also be employed with partial modal information. This method includes initial residuals between the numerical and experimental model and a damage penalization term to avoid false damages. To test the proposed method, a numerical example of a ten-story shear building with noisy and partial modal information was explored. The obtained results were in agreement with the previously published research. The proposed method???s performance was also verified using experimental modal data of an 8-DOF spring -mass system and a five-story shear building. The predicted results for numerical and experimental examples indicated that the proposed method is reliable in identifying the damage for multistory shear buildings.

Más información

Título según WOS: Damage detection of multistory shear buildings using partial modal data
Título de la Revista: EARTHQUAKES AND STRUCTURES
Volumen: 23
Número: 1
Editorial: TECHNO-PRESS
Fecha de publicación: 2022
Página de inicio: 1
Página final: 11
DOI:

10.12989/eas.2022.22.6.001

Notas: ISI