Decentralized damage detection for nonlinear structures

Pinghe Ni, Yong Xia

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


Traditional damage detection methods for nonlinear structures are usually based on simplified models, such as mass-spring-damper models or shear-building models, and thus insufficient to predict the vibration responses of a real structure. Nonlinear finite element method is adopted in this paper to simulate the complex nonlinear behavior of structures accurately, and a decentralized damage detection method is later proposed for identification. The structure is divided into a number of small substructures according to its structural configuration. The structural parameters of each substructure are updated using the vibration responses of the substructure with Newton-SOR method. OpenSees is used to calculate the structural responses and the associated response sensitivity. A two-bay three-floor reinforced concrete structure subjected to earthquake loading is employed to verify the accuracy of the proposed method. The parameters in material constitutive model (such as compressive strength, initial tangent stiffness, and yielding stress) are identified successfully. It demonstrates that the proposed method is able to detect damage in nonlinear structures under seismic loading.
Original languageEnglish
Title of host publicationMechanics of Structures and Materials
Subtitle of host publicationAdvancements and Challenges - Proceedings of the 24th Australasian Conference on the Mechanics of Structures and Materials, ACMSM24 2016
PublisherCRC Press/Balkem
Number of pages6
ISBN (Print)9781138029934
Publication statusPublished - 1 Jan 2017
Event24th Australasian Conference on the Mechanics of Structures and Materials, ACMSM 2016 - Perth, Australia
Duration: 6 Dec 20169 Dec 2016


Conference24th Australasian Conference on the Mechanics of Structures and Materials, ACMSM 2016

ASJC Scopus subject areas

  • Mechanics of Materials
  • Civil and Structural Engineering


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