Infrasound-Based Noncontact Sensing for Bridge Structural Health Monitoring-Reference-Cited by-同舟云学术

Infrasound-Based Noncontact Sensing for Bridge Structural Health Monitoring

Published:2019-05 Issue:5 Volume:24 Page:04019033
ISSN:1084-0702
Container-title:Journal of Bridge Engineering
language:en
Short-container-title:J. Bridge Eng.

Author:

Lobo-Aguilar Sergio¹,Zhang Zhenyu²,Jiang Zhaoshuo³^ORCID,Christenson Richard⁴

Affiliation:

1. Research Engineer, Laboratorio Nacional de Materiales y Modelos Estructurales, Universidad de Costa Rica, Ciudad de la Investigacion, Finca 2, Apartado Postal 11501-2060.

2. Principal Research Engineer, Western Digital Corporation, 3355 Michelson Dr. #100, Irvine, CA 92612.

3. Assistant Professor, School of Engineering, San Francisco State Univ., 1600 Holloway Ave., SCI 130, San Francisco, CA 94132 (corresponding author). ORCID: .

4. Professor, Dept. of Civil & Env. Engineering, Univ. of Connecticut, 261 Glenbrook Rd. Unit 3037, Storrs, CT 06269.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29BE.1943-5592.0001385

Reference34 articles.

1. Andersen P. R. Brincker B. Peeters G. De Roeck L. Hermans and C. Krämer. 1999. “Comparison of system identification methods using ambient bridge test data.” In Proc. 17th Int. Modal Analysis Conf. 1035–1041. Aalborg Denmark: Society for Experimental Mechanics.

2. Introduction to Structural Health Monitoring

3. Advanced structural health monitoring of concrete structures with the aid of acoustic emission

4. Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks

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