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- research-articleJune 2023
Improved undamaged-to-damaged acceleration response translation for Structural Health Monitoring
Engineering Applications of Artificial Intelligence (EAAI), Volume 122, Issue Chttps://doi.org/10.1016/j.engappai.2023.106146AbstractUnpaired image-to-image translation is a popular research topic in computer vision and graphics. Recently, the authors of this paper took a similar approach and translated the domain of acceleration responses collected from a steel grandstand ...
- research-articleJune 2022
Deep convolutional transfer learning-based structural damage detection with domain adaptation
Applied Intelligence (KLU-APIN), Volume 53, Issue 5Pages 5085–5099https://doi.org/10.1007/s10489-022-03713-yAbstractMost data-driven structural damage detection methods are built upon the assumption that enough labeled data is available and both training and test data have the same underlying distribution, which limit their successful applications in practical ...
- research-articleFebruary 2022
A multi-component PSO algorithm with leader learning mechanism for structural damage detection
AbstractThe particle swarm optimization (PSO) algorithm has been widely used to solve optimization problems. One of its main drawbacks is a slow and sometimes premature convergence, which traps the swarm in a local minimum. Several PSO variants have been ...
Highlights- A multi-component PSO with leader learning mechanism is proposed for structural damage detection.
- A pool strategy is constructed by using four PSO variants, which guarantees that the algorithm can cooperatively execute multiple search ...
- research-articleAugust 2021
A variable velocity strategy particle swarm optimization algorithm (VVS-PSO) for damage assessment in structures
Engineering with Computers (ENGC), Volume 39, Issue 2Pages 1055–1084https://doi.org/10.1007/s00366-021-01451-2AbstractIn this paper, for the first time, a variable velocity strategy particle swarm optimization (VVS-PSO) is presented to solve the optimization problems ranging from numerical functions to real-world problems. VVS-PSO introduces a new term added in ...
- research-articleAugust 2021
Sensor data-driven structural damage detection based on deep convolutional neural networks and continuous wavelet transform
Applied Intelligence (KLU-APIN), Volume 51, Issue 8Pages 5598–5609https://doi.org/10.1007/s10489-020-02092-6AbstractStructural damage detection is of very importance to improve reliability and safety of civil structures. A novel sensor data-driven structural damage detection method is proposed in this paper by combining continuous wavelet transform (CWT) with ...
- articleJuly 2018
Structural damage detection using finite element model updating with evolutionary algorithms: a survey
Neural Computing and Applications (NCAA), Volume 30, Issue 2Pages 389–411https://doi.org/10.1007/s00521-017-3284-1Structural damage identification based on finite element (FE) model updating has been a research direction of increasing interest over the last decade in the mechanical, civil, aerospace, etc., engineering fields. Various studies have addressed direct, ...
- articleFebruary 2018
Identification of multiple flaws in 2D structures using dynamic extended spectral finite element method with a universally enhanced meta-heuristic optimizer
Structural and Multidisciplinary Optimization (SPSMO), Volume 57, Issue 2Pages 605–623https://doi.org/10.1007/s00158-017-1767-4In this paper, flaw detection of two-dimensional structures is carried out using the extended spectral finite element method (XSFEM) associated with particle swarm optimization (PSO) algorithm enhanced by a new so-called active/inactive flaw (AIF) ...
- research-articleJanuary 2018
1-D CNNs for structural damage detection
Neurocomputing (NEUROC), Volume 275, Issue CPages 1308–1317https://doi.org/10.1016/j.neucom.2017.09.069Structural damage detection has been an interdisciplinary area of interest for various engineering fields. While the available damage detection methods have been in the process of adapting machine learning concepts, most machine learning based methods ...
- research-articleAugust 2017
Cyclical Parthenogenesis Algorithm for guided modal strain energy based structural damage detection
Applied Soft Computing (APSC), Volume 57, Issue CPages 250–264https://doi.org/10.1016/j.asoc.2017.04.010Damage detection of a 56-element concrete portal frame.Display Omitted A newly developed multi-agent meta-heuristic method, CPA, is utilized for guided modal strain energy based structural damage detection.A modal strain energy based index is used to ...
- articleJune 2013
Structural damage assessment using FRF employing particle swarm optimization
Applied Mathematics and Computation (APMC), Volume 219, Issue 20Pages 10387–10400https://doi.org/10.1016/j.amc.2013.04.016This paper evaluates the use of Frequency Response Function (FRF) with the help of Particle Swarm Optimization (PSO) technique, for structural damage detection and quantification. The robustness and efficiency of the above method has been established ...
- articleMay 2011
Structural damage detection using an efficient correlation-based index and a modified genetic algorithm
Mathematical and Computer Modelling: An International Journal (MATHCM), Volume 53, Issue 9-10Pages 1798–1809https://doi.org/10.1016/j.mcm.2010.12.058An efficient optimization procedure is proposed to detect multiple damage in structural systems. Natural frequency changes of a structure are considered as a criterion for damage presence. In order to evaluate the required natural frequencies, a finite ...
- articleNovember 2005
Damage location vector: A non-destructive structural damage detection technique
Computers and Structures (CSTR), Volume 83, Issue 28-30Pages 2353–2367https://doi.org/10.1016/j.compstruc.2005.03.029This paper presents a method for structural damage detection using frequency response functions (FRF) obtained from non-destructive vibration tests. It investigates the case of early structural damage in which there is no appreciable change in mass and ...
- articleJanuary 2005
Structural damage detection using the transformation matrix
Computers and Structures (CSTR), Volume 83, Issue 4-5Pages 357–368https://doi.org/10.1016/j.compstruc.2004.08.013A method for locating and estimating structural damage in two and three-dimensional analytical models of buildings is presented. Damage is defined in terms of changes in elements stiffness. Since the geometrical transformation matrix used to obtain the ...