Fatigue Evaluation of Bridges Based on Strain Influence Line Loaded by Elaborate Stochastic Traffic Flow

Author:

Yang Dong-Hui1,Guan Ze-Xin2,Yi Ting-Hua3,Li Hong-Nan4,Ni Ying-Sheng5

Affiliation:

1. Associate Professor, School of Civil Engineering, Dalian Univ. of Technology, Dalian 116023, China; State Key Laboratory of Subtropical Building Science, South China Univ. of Technology, Guangzhou 510006, China.

2. Master’s Degree Candidate, School of Civil Engineering and State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian Univ. of Technology, Dalian 116023, China.

3. Professor, School of Civil Engineering, Dalian Univ. of Technology, Dalian 116023, China (corresponding author).

4. Professor, School of Civil Engineering, Dalian Univ. of Technology, Dalian 116023, China.

5. Associate Researcher, Research Institute of Highway Ministry of Transport, Beijing 100088, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Building and Construction,Civil and Structural Engineering

Reference36 articles.

1. Performance assessment and prediction of welded joints in orthotropic decks considering hourly monitoring data;Alcover I. F.;Struct. Eng. Int.,2013

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

3. Long-span bridge traffic loading based on multi-lane traffic micro-simulation

4. CEN (European Committee for Standardization). 2005. Design of steel structures—Part 1-9: Fatigue. Eurocode 3. EN1993-1-9. Brussels, Belgium: CEN.

5. Chiu, T., D. Fang, J. Chen, Y. Wang, and C. Jeris. 2001. “A robust and scalable clustering algorithm for mixed type attributes in large database environment.” In Proc., 7th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, edited by R. Provost and R. Srikant, 263–268. New York: ACM.

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