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Volume 55 Issue 12
Dec.  2025
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Article Contents
XUE Jiang, XIE Xinyu, CHEN Jiayu, LU Peng, LIU Xiaolan, WANG Jian, DING Daiwei. A Review of Analytical Methods for Wind-Induced Dynamic Response of Engineering Structures Under Downbursts[J]. INDUSTRIAL CONSTRUCTION, 2025, 55(12): 146-158. doi: 10.3724/j.gyjzG25031703
Citation: XUE Jiang, XIE Xinyu, CHEN Jiayu, LU Peng, LIU Xiaolan, WANG Jian, DING Daiwei. A Review of Analytical Methods for Wind-Induced Dynamic Response of Engineering Structures Under Downbursts[J]. INDUSTRIAL CONSTRUCTION, 2025, 55(12): 146-158. doi: 10.3724/j.gyjzG25031703

A Review of Analytical Methods for Wind-Induced Dynamic Response of Engineering Structures Under Downbursts

doi: 10.3724/j.gyjzG25031703
  • Received Date: 2025-03-17
    Available Online: 2026-01-06
  • Publish Date: 2025-12-20
  • This study investigates the disaster mechanisms and protective technologies related to downbursts. Regarding the formation mechanisms, it reveals how thunderstorm cloud energy conversion generates damaging downbursts and examines the resulting extreme wind pressure characteristics and dynamic amplification effects on building structures through case studies. Within the research technical framework, this study reviews the evolution of theoretical models from basic morphology to three-dimensional dynamics, systematically compares the differences among various analytical methods and their applicability in predicting structural wind loads, and evaluates the applications of different experimental techniques in wind field simulation. In the field of engineering protection, this study proposes climate-adaptive design strategies, demonstrates how structural reinforcement techniques significantly enhance wind resistance, and integrates intelligent monitoring systems to enable rapid post-disaster assessment. Finally, the paper recommends combining thunderstorm cloud parameterization with multi-objective density evolution theory to create a dynamic meteorology-topography-structure coupling framework. This will form a comprehensive system for disaster prediction, feedback control, and code adaptation, thereby supporting engineering resilience design.
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