Dynamic Wind‐Induced Risk Assessment of Structures Under Construction Based on Probabilistic Analysis: Case Study of a Long‐Span Roof

During construction, civil structures exhibit incomplete load paths, time‐varying properties, and lack of cladding, making them highly vulnerable to wind hazards—yet conventional methods rely on static, envelope‐based approaches that ignore the dynamic evolution of risk across stages and cannot couple uncertainties in wind climate, structural dynamics, and stage‐specific aerodynamics, leading to either underestimation or overconservatism. This study proposes a probabilistic framework for dynamic wind risk assessment of temporary structures where wind pressure dominates, response is linear, and local failures govern safety. The framework integrates a theoretical risk integral, probabilistic models for wind climate and discrete construction stages, a pressure‐based limit state function comparing code‐derived capacity with peak demand from a stage‐specific aerodynamic database, and system‐level risk via Monte Carlo simulation (MCS) using a region‐based failure criterion. A long‐span roof case study reveals that the most critical stage is partially enclosed and that dominant risk winds arise from aerodynamic–climatic coupling rather than strongest climatic winds alone. Compared with conventional methods, the framework yields more rational, less conservative estimates, uncovers hidden failure mechanisms, and enables a shift from scenario‐based checking to probability‐informed risk management with an adjustable risk control coefficient.