Fatigue reliability analysis and traffic load control of steel bridges based on artificial neural network

Lei Nie; Wei Wang; Lu Deng

doi:10.1117/12.2658303

22 December 2022 Fatigue reliability analysis and traffic load control of steel bridges based on artificial neural network

Lei Nie, Wei Wang, Lu Deng

Author Affiliations +

Proceedings Volume 12460, International Conference on Smart Transportation and City Engineering (STCE 2022); 124603N (2022) https://doi.org/10.1117/12.2658303
Event: International Conference on Smart Transportation and City Engineering (STCE 2022), 2022, Chongqing, China

Abstract

Steel bridges have the advantages of light weight, high strength, prefabricated construction, and short construction time, and therefore have been widely used in many countries. In conventional bridge design, the load bearing capacity of the structure is considered as the most important safety factor. However, as the service life increases, the actual load-carrying capacity of bridges gradually decreases due to the combined action of the environmental corrosion and repeated vehicle loads, resulting in shortened bridge service life. In this paper, the fatigue reliability index of a steel girder bridge over its whole life is investigated based on artificial neural networks. The effects of truck traffic load and environmental corrosivity on the fatigue life of the steel girder bridge are analyzed and measures to control the traffic load are discussed. The research results can serve as a reference for traffic load management of highway steel bridges.

Citation Download Citation

Lei Nie, Wei Wang, and Lu Deng "Fatigue reliability analysis and traffic load control of steel bridges based on artificial neural network", Proc. SPIE 12460, International Conference on Smart Transportation and City Engineering (STCE 2022), 124603N (22 December 2022); https://doi.org/10.1117/12.2658303

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available