Mono-slope roofs have gained popularity due to their aesthetic appeal and practical advantages in construction. However, the design of these roofs must consider the impact of wind forces to ensure structural integrity and safety. Present research focuses on analyzing the wind effects on mono-slope roofs in an isolated and interfering condition with T formation with variable spacing (0, 0.5B, B, 1.5B, and 2B) using Computational Fluid Dynamics to provide a comprehensive understanding of how wind interacts with mono-slope roof structures, leading to a comparative study that evaluates different design considerations and their effectiveness in mitigating wind-induced stresses. Further, with Machine application tools, parameters that crucially influence IF, ID and Cpe are determined. The findings highlight significant variations in wind pressures and flow patterns due to interference effects, emphasizing the importance of considering such factors in the design and construction of mono-slope roofs. The sensitivity analysis using ML tools suggested that the spacing and angle of wind incidence have the main influence on IF, ID, and Cpe. This research is crucial for architects, engineers, and construction professionals to optimize the design and construction of mono-slope roofs for enhanced performance and resilience against wind loads.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Optimizing Wind-Induced Interference on Mono-Slope Roof: Insights from CFD Modeling and Machine Learning Validation

  • Deepak Sharma,
  • Khyati Saggu,
  • Ritu Raj,
  • Shilpa Pal

摘要

Mono-slope roofs have gained popularity due to their aesthetic appeal and practical advantages in construction. However, the design of these roofs must consider the impact of wind forces to ensure structural integrity and safety. Present research focuses on analyzing the wind effects on mono-slope roofs in an isolated and interfering condition with T formation with variable spacing (0, 0.5B, B, 1.5B, and 2B) using Computational Fluid Dynamics to provide a comprehensive understanding of how wind interacts with mono-slope roof structures, leading to a comparative study that evaluates different design considerations and their effectiveness in mitigating wind-induced stresses. Further, with Machine application tools, parameters that crucially influence IF, ID and Cpe are determined. The findings highlight significant variations in wind pressures and flow patterns due to interference effects, emphasizing the importance of considering such factors in the design and construction of mono-slope roofs. The sensitivity analysis using ML tools suggested that the spacing and angle of wind incidence have the main influence on IF, ID, and Cpe. This research is crucial for architects, engineers, and construction professionals to optimize the design and construction of mono-slope roofs for enhanced performance and resilience against wind loads.