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1,038 results on '"Li, Hong-Nan"'

46. Probabilistic Seismic Performance Assessment of RC Frame Structures Considering Dynamic Effect and Structural Parameter Uncertainties.

Author

Li, Rou-Han, Li, Chao, Li, Hong-Nan, Xu, Wei-Xiao, and Gao, Mao

Subjects
SHAKING table tests, STRUCTURAL frames, STRAIN rate, REINFORCED concrete, EPISTEMIC uncertainty, SEISMIC response
Abstract

In this paper, an efficient and reliable method is developed for assessing the seismic performance of reinforced concrete (RC) frame structures by using the dynamic concentrated plastic beam–column element. Firstly, the beam–column element considering the dynamic effect caused by strain rate sensitivity of RC materials and the epistemic uncertainties in structural parameters is proposed, in which the mechanical behavior of plastic hinge is described by the damage index-based hysteretic model. Moreover, a simplified approach is employed to consider the strain rate-sensitivity of RC materials. Then the computation procedure for probabilistic seismic analysis of RC frame structures is illustrated based on the proposed element. The change in strain rate at each time step is considered by modifying the hysteretic model, which is further used in updating the matrices in dynamic equations. Finally, the probabilistic seismic response and damage analyses of a shaking table test RC frame structure are performed and the proposed method is validated with the experimental data. Furthermore, the influences of structural uncertainties on the analytical results of maximum drift ratio and collapse probability are discussed. It is indicated that both the dynamic effect and structural uncertainties need to be seriously taken into account for obtaining a more reliable seismic response and collapse assessment of RC frame structures. [ABSTRACT FROM AUTHOR]

Published
2024
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47. Dynamic Calibrating of Multiscale Bridge Model Using Long-Term Stochastic Vehicle-Induced Responses.

Author

Guan, Ze-Xin, Yi, Ting-Hua, Yang, Dong-Hui, and Li, Hong-Nan

Subjects
LONG-span bridges, MULTISCALE modeling, BOX girder bridges, STEEL girders, STRUCTURAL health monitoring
Abstract

The traditional multiscale model static updating method for long-span bridges requires load tests to obtain the correspondence between load and response, which leads to prolonged traffic interruption, with poor timeliness and low efficiency. Therefore, an efficient multiscale model dynamic calibrating framework based on stochastic vehicle-induced responses is proposed in this paper. The multiscale model is calibrated by monitoring data, and the dynamic calibrating efficiency is improved through the substructure–refined model combination modeling. First, the relationship between the structure and its corresponding response statistical characteristics is derived under stochastic traffic loads, and a statistical-based calibrating objective function of the multiscale model is established. Second, the framework for efficient multiscale model dynamic calibrating based on long-term monitoring data is presented, including efficient multiscale model establishment and dynamic calibrating based on stochastic vehicle-induced responses. Finally, the effectiveness of the proposed method is verified by its application to a long-span steel box girder suspension bridge. Comparison with the traditional load test method demonstrates that the proposed method effectively achieves multiscale model dynamic calibrating based on monitoring data during bridge operation, improving calibrating efficiency while ensuring multiscale modeling accuracy. [ABSTRACT FROM AUTHOR]

Published
2024
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