Prediction of Extreme Traffic Load Effects of Bridges Using Bayesian Method and Application to Bridge Condition Assessment-Reference-Cited by-同舟云学术

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Prediction of Extreme Traffic Load Effects of Bridges Using Bayesian Method and Application to Bridge Condition Assessment

Published:2019-03 Issue:3 Volume:24 Page:04019003
ISSN:1084-0702
Container-title:Journal of Bridge Engineering
language:en
Short-container-title:J. Bridge Eng.

Author:

Yu Yang¹,Cai C. S.²^ORCID

Affiliation:

1. Research Assistant, Dept. of Civil and Environmental Engineering, Louisiana State Univ., Baton Rouge, Louisiana 70803..

2. Professor, Dept. of Civil and Environmental Engineering, Louisiana State Univ., Baton Rouge, Louisiana 70803 (corresponding author). ORCID: .

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.1943-5592.0001357

Reference26 articles.

1. Structural Identification for Condition Assessment: Experimental Arts

2. The use of predictive likelihood to estimate the distribution of extreme bridge traffic load effect

3. Characteristic traffic load effects from a mixture of loading events on short to medium span bridges

4. Improvement of extrapolation of traffic load effect on highway bridges based on Rice’s theory

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