Structural damage detection using neural network with learning rate improvement

Fang, Xiao‐Yong; Luo, Hanbin; Tang, Jiong

doi:10.1016/j.compstruc.2005.02.029

Cited by 145 publications

(70 citation statements)

References 26 publications

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“…Some neural networks such as radial basis function (RBF), generalized regression (GR), counter propagation (CP), back propagation (BP) and wavelet back propagation (WBP) neural networks are used in civil and structural engineering applications [2][3][4][5][6][7][8][9]. In the field of structural engineering, one of the most popular neural networks is RBF network [10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

An intelligent neural system for predicting structural response subject to earthquakes

Gholizadeh

Salajegheh

2009

Advances in Engineering Software

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Section: Introductionmentioning

confidence: 99%

An intelligent neural system for predicting structural response subject to earthquakes

Gholizadeh

Salajegheh

2009

Advances in Engineering Software

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“…Pursuant to address these constraints, researchers ventured into application of CBR in different engineering domains (Bello-Tomás, González-Calero, & Díaz-Agudo, 2004;Díaz-Agudo & González-Calero, 2000;Díaz-Agudo, González-Calero, Recio-García, & Sánchez-Ruiz-Granados, 2007;Hurley, 1994;Kumar & Raphael, 1997;Lieven, Escamilla-Ambrosio, Bunniss, Burrow, & Clare, 2009;Varma & Roddy, 1999). Although applications discussed above had success in analysis of different type of structures but there are concerns that need addressing before advent of a universal approach (Fang, Luo, & Tang, 2005). Many of existing systems are in engineering domains and deal with diagnosis, decision support, design, or planning but do not precisely resolve structural analysis issues (Bargmann, 1999;Grant, Harris, & Moseley, 1996;Liao, 2004;Vong, Wong, & Ip, 2011).…”

Section: Introductionmentioning

confidence: 99%

Case Based Reasoning Support for Adaptive Finite Element Analysis: Mesh Selection for an Integrated System

Khan¹,

Chaudhry

Sarosh

2014

APR

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An Adaptive Finite Element Analysis Integrated System supported through application of Case Based Reasoning (CBR) methodology is being proposed in this paper. The approach is fruitful for selection of an initial mesh from a library of solutions to initiate analysis process, as already tested optimal mesh will have lesser refinement iterations. The optimal mesh distribution, represented by object-oriented method, can be easily adapted to the topology of new problem in same domain. An integrated and universal structural analysis system models human reasoning by forming solutions through the retrieval and adaptation of successful strategies used in the past. Basic insight of two distinct subjects along with resolution of involved issues and integration strategy for development of an intelligent system is elaborated here. The research explains an algorithm for case retrieval and mesh generation procedures based on the principles of mapping method.

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“…The ANN is formed of smaller units called neurons and is trained through a learning process, while interneuron connection strengths, known as synaptic weights, are used to store the knowledge. So part of data fusion could be realized by neural networks when the multiple data is inputted [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Structural Damage Information Fusion Based on Soft Computing

Yan

Zhang

2012

International Journal of Distributed Sensor Networks

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The significance of information fusion for structural health monitoring and damage detection is introduced. The three levels of information fusion for multisensors are described. For the complex in the structural health monitoring, the distributed multisensor information fusion is more suitable and the structure is discussed. In the damage information fusion for character level, the concept for structural integral support vector machine damage detection matrix, damage self-information, and damage information entropy are presented. For a complex structure, it can be divided into multiple substructures in order to simplify the difficult for health monitoring, the data acquisition and support vector machine are established for each substructure in order to form integral damage detection matrix. In the damage information fusion for decision level, the methods based on fuzzy set theory, material element theory, and fuzzy neural network are proposed. The results given by a numerical example about space structure show that all the methods are valid and effective.

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Structural damage detection using neural network with learning rate improvement

Cited by 145 publications

References 26 publications

An intelligent neural system for predicting structural response subject to earthquakes

An intelligent neural system for predicting structural response subject to earthquakes

Case Based Reasoning Support for Adaptive Finite Element Analysis: Mesh Selection for an Integrated System

Structural Damage Information Fusion Based on Soft Computing

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