Decentralized damage detection under ambient excitations with random decrement functions

Pinghe Ni, Yong Xia

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

All rights re served. In this paper, a decentralized damage detection method is proposed for civil structures under ambient excitations. This method do not have the limitations that the number of sensors should be larger than the number of unknown forces and the sensors must be available at the external forces as required by conventional methods. The random decrement (RD) functions are used for damage detection. The unknown structural parameters and RD functions are divided into a number of subsets according to its finite element configuration. Each subset of parameters can be updated with RD functions in the same region. The RD function consists of two parts: one is a nonlinear function that depends on structural parameters, the other is the initial value of the RD functions. The initial values of the RD functions and the physical structural parameters are improved in further iterations by model updating. A numerical example is employed to demonstrate the effectiveness of the proposed method.
Original languageEnglish
Title of host publicationStructural Health Monitoring 2015
Subtitle of host publicationSystem Reliability for Verification and Implementation - Proceedings of the 10th International Workshop on Structural Health Monitoring, IWSHM 2015
PublisherDEStech Publications
Pages1275-1282
Number of pages8
Volume2
ISBN (Electronic)9781605951119
Publication statusPublished - 1 Jan 2015
Event10th International Workshop on Structural Health Monitoring: System Reliability for Verification and Implementation, IWSHM 2015 - Stanford University, Stanford, United States
Duration: 1 Sep 20153 Sep 2015

Conference

Conference10th International Workshop on Structural Health Monitoring: System Reliability for Verification and Implementation, IWSHM 2015
Country/TerritoryUnited States
CityStanford
Period1/09/153/09/15

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Information Management

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