Journal
STRUCTURE AND INFRASTRUCTURE ENGINEERING
Volume 15, Issue 5, Pages 569-581Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/15732479.2018.1555264
Keywords
Long span bridge; traffic simulation; influence line; efficient approach; multi-scale modelling; degree of nonlinearity
Categories
Funding
- National Nature Science Foundation of China [51478337, 51808148, 51878495]
- Fundamental Research Funds for the Central Universities in China
- Guangzhou Science and Technology Project, China
- Open Funds for Peak disciplines of Traffic and Transportation Engineering, Tongji University [2016J012302]
- Science and Technology Major Project of Guizhou Province, China [2016-3013]
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Traffic micro-simulation is the newly developed approach for loading calculation of long span bridges. The approach is quite precise, but computationally expensive to consider the full extent of traffic loading scenarios during a bridge lifetime. To address this shortfall, an efficient multi-scale traffic modelling approach is proposed. The proposed approach uses micro- and macro-simulation with different load model varieties (LMVs), or fidelities (levels of detail) of traffic loading in different bridge regions, to achieve optimal computation efficiency while maintaining the precision of loading calculation. Metrics of influence line (IL) characteristics, such as degree of nonlinearity, are proposed to evaluate the appropriateness of the choice of LMV, and standards of the metrics are also investigated to quantify the implementation of LMVs on bridge IL regions in the multi-scale modelling. Finally, two typical ILs are used along with random traffic modelling to study the feasibility of the proposed approach. It is shown that the multi-scale modelling approach proposed here achieves high computational efficiency and accuracy, which is significant for the massive traffic load simulation for lifetime bridge load effect analysis.
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