Dynamic Response Study of Space Large-Span Structure under Stochastic Crowd-Loading Excitation
Auteur(s): |
Shuwang Yang
Gang Wang Qiang Xu Junfu He Minghao Yang Chenhao Su |
---|---|
Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Buildings, 24 avril 2024, n. 5, v. 14 |
Page(s): | 1203 |
DOI: | 10.3390/buildings14051203 |
Abstrait: |
With the development of civil engineering, lightweight and high-strength materials, as well as large-span, low-frequency structural systems, are increasingly used. However, its self-oscillation frequency is often close to the stride frequency of pedestrians, which is easily affected by human activities. To study the effect of human activities on the dynamic response of structures, it is crucial to choose an appropriate anthropogenic load model. Considering the inter-subject and intra-subject variability of pedestrian walking parameters and induced forces in a crowd, we introduce the interaction rules between pedestrians based on the floor field cellular automata (FFCA). A stochastic crowd-loading model coupling walking parameters, induced forces between pedestrians, and induced forces between pedestrians and structures is proposed for simulating crowd-walking loads. The feasibility of the model is verified by comparing the measured response of a space large-span structure with the predicted response of the proposed stochastic crowd-loading model. The comfort level of the structure under different crowd densities was also evaluated based on the model. It was found that both random combinations of walking parameters and dynamic behaviors of pedestrians can cause significant differences in the structural response. Therefore, the crowd-loading model should consider the influence of pedestrian behavioral factors on the structural response. |
Copyright: | © 2024 by the authors; licensee MDPI, Basel, Switzerland. |
License: | Cette oeuvre a été publiée sous la license Creative Commons Attribution 4.0 (CC-BY 4.0). Il est autorisé de partager et adapter l'oeuvre tant que l'auteur est crédité et la license est indiquée (avec le lien ci-dessus). Vous devez aussi indiquer si des changements on été fait vis-à-vis de l'original. |
8.56 MB
- Informations
sur cette fiche - Reference-ID
10773795 - Publié(e) le:
29.04.2024 - Modifié(e) le:
05.06.2024