Nonparametric Structural Damage Detection Algorithm for Ambient Vibration Response: Utilizing Artificial Neural Networks and Self-Organizing Maps-Reference-Cited by-同舟云学术

Nonparametric Structural Damage Detection Algorithm for Ambient Vibration Response: Utilizing Artificial Neural Networks and Self-Organizing Maps

Published:2016-06 Issue:2 Volume:22 Page:04016004
ISSN:1076-0431
Container-title:Journal of Architectural Engineering
language:en
Short-container-title:J. Archit. Eng.

Author:

Abdeljaber Osama¹,Avci Onur²

Affiliation:

1. Research Assistant, Dept. of Civil and Architectural Engineering, College of Engineering, Qatar Univ., P.O. Box 2713, Doha, Qatar.

2. Assistant Professor, Dept. of Civil and Architectural Engineering, College of Engineering, Qatar Univ., P.O. Box 2713, Doha, Qatar (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Visual Arts and Performing Arts,Building and Construction,Civil and Structural Engineering,Architecture

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29AE.1943-5568.0000205

Reference30 articles.

1. Abaqus/CAE 6.12-1 [Computer software]. Dassault Systèmes Providence RI.

2. Bayesian neural networks for bridge integrity assessment

3. Self-organizing maps for structural damage detection: A novel unsupervised vibration-based algorithm;Avci O.;J. Perform. Constr. Facil.,2015

4. Bani-Hani. K. (1999). “Analytical and experimental study of nonlinear structural control using neural networks.” Ph.D. thesis Univ. of Illinois at Urbana-Champaign Champaign IL.

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