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Evaluating Probabilistic Traffic Load Effects on Large Bridges Using Long-Term Traffic Monitoring Data

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成果类型:
期刊论文
作者:
Lu, Naiwei;Ma, Yafei*;Liu, Yang
通讯作者:
Ma, Yafei
作者机构:
[Ma, Yafei; Lu, Naiwei; Liu, Yang] Changsha Univ Sci & Technol, Sch Civil Engn, Changsha 410114, Hunan, Peoples R China.
[Liu, Yang] Hunan Univ Sci, Sch Civil Engn, Zhuzhou 412007, Peoples R China.
通讯机构:
[Ma, Yafei] C
Changsha Univ Sci & Technol, Sch Civil Engn, Changsha 410114, Hunan, Peoples R China.
语种:
英文
关键词:
structural safety;traffic load;probabilistic extrapolation;bridge engineering;traffic load effect;stochastic traffic flow;level-crossing rate
期刊:
Sensors
ISSN:
1424-8220
年:
2019
卷:
19
期:
22
页码:
5056
基金类别:
Conceptualization, N.L.; Methodology, N.L. and Y.M.; Data curation, N.L.; Writing—original draft preparation, N.L.; Writing—review and editing, Y.L.; Supervision, Y.L.; Project administration, Y.L.; Funding acquisition, N.L. This research was funded by the “National Science Foundation of China, grant number 51908068, 51778068”, Key Research and Development Program of Hunan Province (2019SK2171), Innovation Platform Program of Education Department of Hunan Province (145515).
机构署名:
本校为第一且通讯机构
院系归属:
土木工程学院
摘要:
With the steadily growing of global transportation market, the traffic load has increased dramatically over the past decades, which may develop into a risk source for existing bridges. The simultaneous presence of heavy trucks that are random in nature governs the serviceability limit for large bridges. This study investigated probabilistic traffic load effects on large bridges under actual heavy traffic load. Initially, critical stochastic traffic loading scenarios were simulated based on millions of traffic monitoring data in a highway bridge in China. A methodology of extrapolating maximum ...

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