Journal Article10.1016/J.JSV.2016.06.037
Structural damage detection using sparse sensors installation by optimization procedure based on the modal flexibility matrix
A. Zare Hosseinzadeh,Gholamreza Ghodrati Amiri,Seyed Ali Seyed Razzaghi,Ki-Young Koo,Seung-Hun Sung +4 more
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TL;DR: In this article, the authors presented a novel and effective method to detect and estimate structural damage by introducing an efficient objective function which is based on Modal Assurance Criterion (MAC) and modal flexibility matrix.
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About: This article is published in Journal of Sound and Vibration. The article was published on 27 Oct 2016. The article focuses on the topics: Flexibility method & Particle swarm optimization.
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Citations
Ant lion optimisation algorithm for structural damage detection using vibration data
TL;DR: The recently proposed ant lion optimiser, which is a population-based search algorithm, mimicked the hunting behaviour of antlions, was used for assessing structural damage and indicated that the proposed algorithm required fewer parameters than other metaheuristic algorithms to identify the location and extent of damage.
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Structural damage identification based on modal frequency strain energy assurance criterion and flexibility using enhanced Moth-Flame optimization
TL;DR: According to the damage identification results, the proposed method features good environmental noise robustness, which boosts the efficiency of symmetric location damage identification, and can achieve better optimization results compared to moth-flame optimization, particle swarm optimization and cuckoo search.
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Global methodology for damage detection and localization in civil engineering structures
Farouk Omar Frigui,Jean-Pierre Faye,Carmen Martin,Olivier Dalverny,François Pérès,Sébastien Judenherc +5 more
TL;DR: A new methodology of SHM is proposed using Vibration-Based Damage Detection Methods (VBDDM), a damage detection and localization algorithm is elaborated and tested on a Finite Element Model (FEM) of an existing building.
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A Systematic Review of Optimization Algorithms for Structural Health Monitoring and Optimal Sensor Placement
Sahar Hassani,Ulrike Dackermann +1 more
TL;DR: In this paper , the most recent optimization algorithms for structural health monitoring (SHM) and optimal sensor placement (OSP) have been reviewed, including random search and heuristic algorithms.
Damage assessment in truss structures with limited sensors using a two-stage method and model reduction
TL;DR: The obtained results clearly indicate that the proposed two-stage damage identification method can work well in determining both damage location and damage severity in the truss structures.
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References
Particle swarm optimization
James Kennedy,Russell C. Eberhart +1 more
- 06 Aug 2002
TL;DR: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced, and the evolution of several paradigms is outlined, and an implementation of one of the paradigm is discussed.
44.1K
•Book
Dynamics of Structures: Theory and Applications to Earthquake Engineering
Anil K. Chopra
- 01 Jan 1995
TL;DR: In this paper, the authors present a single-degree-of-freedom (SDF) system, which is composed of a mass-spring-damper system and a non-viscous Damping Free Vibration (NFV) system.
5.3K
Reduction of stiffness and mass matrices
TL;DR: In this article, the authors proposed a method for reducing the size of the stiffness matrix by eliminating coordinates at which no forces are applied, based on the procedure used in Ref. 1 for stiffness matrix reduction.
2.6K
Vibration-based Damage Identification Methods: A Review and Comparative Study:
Wei Fan,Pizhong Qiao +1 more
TL;DR: A comprehensive review on modal parameter-based damage identification methods for beam- or plate-type structures is presented in this paper, and the damage identification algorithms in terms of signal processing are discussed.
1.9K
Reference-based stochastic subspace identification for output-only modal analysis
Bart Peeters,Guido De Roeck +1 more
TL;DR: In this paper, a novel approach of stochastic subspace identification is presented that incorporates the idea of the reference sensors already in the identification step: the row space of future outputs is projected into the rowspace of past reference outputs.
1.4K