A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
An efficient approach for traffic load modelling of long span bridges
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.
An efficient approach for traffic load modelling of long span bridges
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.
An efficient approach for traffic load modelling of long span bridges
Zhou, Junyong (author) / Ruan, Xin (author) / Shi, Xuefei (author) / Caprani, Colin C. (author)
Structure and Infrastructure Engineering ; 15 ; 569-581
2019-05-04
13 pages
Article (Journal)
Electronic Resource
English
Micro-Simulation Modelling of Traffic Load on Long-Span Congested Bridges
| British Library Conference Proceedings | 2002
Traffic Load Simulation for Long-Span Suspension Bridges
| ASCE | 2019
Stochastic Modelling of Traffic Loads for Long-Span Bridges
| British Library Conference Proceedings | 1998
A pseudo-microsimulation approach for modelling congested traffic loading on long-span bridges
| Taylor & Francis Verlag | 2018
A Case Study of Traffic Load for Long-Span Suspension Bridges
| Online Contents | 2014