环境科学
耐久性
湍流
气象学
计算流体力学
流量(数学)
对流
水分
传质
风速
空间变异性
降级(电信)
色散(光学)
大气科学
蒸发
大气扩散模型
联轴节(管道)
传热
机械
空间分布
威布尔分布
土壤科学
风洞
涡轮机
环境工程
生物系统
电流(流体)
建筑CFD
海洋工程
对流换热
对流扩散方程
仿真建模
风向
通风(建筑)
流动条件
气流
材料科学
作者
Bruno Vanderschelden,Aytaç Kubilay,Veerle Cnudde,Tim DE KOCK,Nathan Van Den Bossche
标识
DOI:10.1177/17442591251391652
摘要
HAM models have proven their value for analyzing moisture-related pathologies by assessing hygrothermal responses to environmental exposure. In this study, a coupling between CFD and HAM is developed to capture spatial wetting and drying effects, which allows to identify façade degradation patterns. Wind-driven rain (WDR) and evaporation significantly influence the hygrothermal performance and durability of façades, particularly in heritage and renovation. In traditional HAM modeling, WDR and convective heat transfer coefficients (CHTC) are often simplified by applying generic, uniform values across the façade. However, this approximation fails to account for the spatial and temporal variations in WDR and neglects the significant variations in CHTC due to the surrounding velocity flow field. These oversimplifications can limit the validity and accuracy of hygrothermal predictions. This study presents a novel approach by externally coupling CFD simulations with HAM modeling to capture the spatial distribution of WDR and CHTC on building façades. Steady Reynolds-averaged Navier-Stokes equations and Eulerian-multiphase simulations are performed to calculate the wind flow and the rain trajectories with turbulent dispersion of raindrops. Using a cubic low-rise building as a case, the coupled model evaluates the effects of wind and rain exposure on façade deterioration, including frost degradation, salt crystallization, and algae growth. Results indicate that conventional approaches tend to underestimate critical rain loads, while drying potential is overestimated. It highlights how spatial variations in WDR and drying influence degradation mechanisms, emphasizing the need for more detailed spatial analyses. This integrated method provides valuable insights into risks posed by moisture exposure and drying dynamics, offering practical applications for targeted renovation strategies and improved preservation of building materials.
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