Self-Organizing Maps for Structural Damage Detection: A Novel Unsupervised Vibration-Based Algorithm-Reference-Cited by-同舟云学术

Self-Organizing Maps for Structural Damage Detection: A Novel Unsupervised Vibration-Based Algorithm

Published:2016-06 Issue:3 Volume:30 Page:04015043
ISSN:0887-3828
Container-title:Journal of Performance of Constructed Facilities
language:en
Short-container-title:J. Perform. Constr. Facil.

Author:

Avci Onur¹,Abdeljaber Osama²

Affiliation:

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

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

Publisher

American Society of Civil Engineers (ASCE)

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CF.1943-5509.0000801

Reference42 articles.

1. Bayesian neural networks for bridge integrity assessment

2. Arredondo M. A. T. et al. (2014). “A pattern recognition approach for damage detection and temperature compensation in acousto-ultrasonics.” EWSHM—7th European Workshop on Structural Health Monitoring.

3. Structure Damage Detection Using Neural Network with Multi-Stage Substructuring

4. The three-stage artificial neural network method for damage assessment of building structures

5. Experimental study of identification and control of structures using neural network. Part 1: identification

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