Bridge Performance Evaluation via Dynamic Fingerprints and Data Fusion-Reference-Cited by-同舟云学术

Bridge Performance Evaluation via Dynamic Fingerprints and Data Fusion

Published:2019-04 Issue:2 Volume:33 Page:04019004
ISSN:0887-3828
Container-title:Journal of Performance of Constructed Facilities
language:en
Short-container-title:J. Perform. Constr. Facil.

Author:

Sun Shuang¹,Liang Li²,Li Ming³,Li Xin⁴

Affiliation:

1. Ph.D. Candidate, School of Resources and Civil Engineering, Northeastern Univ., P.O. Box 265, No. 3-11 Wenhua Rd., Shenyang, Liaoning 110819, People’s Republic of China.

2. Professor, School of Resources and Civil Engineering, Northeastern Univ., P.O. Box 265, No. 3-11 Wenhua Rd., Shenyang, Liaoning 110819, People’s Republic of China (corresponding author).

3. Associate Professor, School of Resources and Civil Engineering, Northeastern Univ., P.O. Box 265, No. 3-11 Wenhua Rd., Shenyang, Liaoning 110819, People’s Republic of China.

4. Lecturer, School of Resources and Civil Engineering, Northeastern Univ., P.O. Box 265, No. 3-11 Wenhua Rd., Shenyang, Liaoning 110819, People’s Republic of China.

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.1943-5509.0001256

Reference28 articles.

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

2. Recent advances in physical modeling and remote sensing of civil infrastructure systems

3. A Naïve-Bayes classifier for damage detection in engineering materials

4. Data-based models for fatigue reliability of orthotropic steel bridge decks based on temperature, traffic and strain monitoring

5. Model-Based Damage Identification in a Continuous Bridge Using Vibration Data

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