Fractals and Independent Component Analysis for Defect Detection in Bridge Decks-Reference-Cited by-同舟云学术

Fractals and Independent Component Analysis for Defect Detection in Bridge Decks

Published:2011 Issue: Volume:2011 Page:1-14
ISSN:1687-8086
Container-title:Advances in Civil Engineering
language:en
Short-container-title:Advances in Civil Engineering

Author:

Abdel-Qader Ikhlas¹,Abu-Amara Fadi²,Abudayyeh Osama³

Affiliation:

1. Department of Electrical and Computer Engineering, Western Michigan University, Kalamazoo, MI 49008, USA

2. Department of Computer Engineering, Al-Hussein Bin Talal University, Ma'an 71111, Jordan

3. Department of Civil and Construction Engineering, Western Michigan University, Kalamazoo, MI 49008, USA

Abstract

We present in this paper a framework for the automatic detection and localization of defects inside bridge decks. Using Ground-Penetrating Radar (GPR) raw scans, this framework is composed of a feature extraction algorithm using fractals to detect defective regions and a deconvolution algorithm using banded-independent component analysis (ICA) to reduce overlapping between reflections and to estimate the radar waves travel time and depth of defects. Results indicate that the defects' estimated horizontal location and depth falling within 2 cm (76.92% accuracy) and 1 cm (84.62% accuracy) from their actual values.

Funder

Western Michigan University

Publisher

Hindawi Limited

Subject

Civil and Structural Engineering

Link

http://downloads.hindawi.com/journals/ace/2011/506464.pdf

Reference19 articles.

1. GPR imaging for bridge deck condition assessment

2. Image-Based Framework for Concrete Surface Crack Monitoring and Quantification

3. A Neural-Wavelet Technique for Damage Identification in the ASCE Benchmark Structure Using Phase II Experimental Data

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