Sensor Networks, Computer Imaging, and Unit Influence Lines for Structural Health Monitoring: Case Study for Bridge Load Rating-Reference-Cited by-同舟云学术

Sensor Networks, Computer Imaging, and Unit Influence Lines for Structural Health Monitoring: Case Study for Bridge Load Rating

Published:2012-07 Issue:4 Volume:17 Page:662-670
ISSN:1084-0702
Container-title:Journal of Bridge Engineering
language:en
Short-container-title:J. Bridge Eng.

Author:

Catbas F. Necati¹,Zaurin Ricardo²,Gul Mustafa³,Gokce Hasan Burak⁴

Affiliation:

1. Associate Professor, Dept. of Civil, Environmental and Construction Engineering, Univ. of Central Florida, Orlando, FL 32816 (corresponding author).

2. Lecturer and Postdoctoral Associate, Dept. of Civil, Environmental and Construction Engineering, Univ. of Central Florida, Orlando, FL 32816.

3. Assistant Professor, Dept. of Civil and Environmental Engineering University of Alberta, Edmonton, Alberta, Canada T6G 2W2.

4. Ph.D. Candidate, Dept. of Civil, Environmental and Construction Engineering, Univ. of Central Florida, Orlando, FL 32816.

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.1943-5592.0000288

Reference11 articles.

1. AASHTO. (2003). Manual for condition evaluation and load and resistance factor rating (LRFR) of highway bridges Washington DC.

2. Catbas F. N. (2010). “Long term bridge maintenance monitoring demonstration on a movable bridge.” Final Rep. No. BD548-23 (prepared for Florida Dept. of Transportation) Univ. of Central Florida Orlando FL.

3. Catbas F. N. Shah M. Burkett J. and Basharat A. (2004). “Challenges in structural health monitoring.” Proc. 4th Int. Workshop on Structural Control Smyth A. and Betti R. eds. Columbia University New York 195–202.

4. Fraser M. and Elgamal A. (2006). “Video and motion structural monitoring framework.” 4th China-Japan-US Symposium on Structural Control and Monitoring (CD-ROM).

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