Computational Wind Engineering Tools and Techniques - 5 PDH

Learning Objective

At the conclusion of this course, the student will:

• Understand the fundamental principles of Computational Wind Engineering (CWE);
• Learn to apply Computational Fluid Dynamics (CFD) tools for wind load predictions;
• Explore verification and validation processes crucial to CWE reliability;
• Assess the role of system reliability and risk in wind load simulations;
• Identify research gaps and future directions in CWE advancements;
• Develop skills to model wind interactions with buildings under various storm types;
• Gain insights into CWE applications for structural resilience in urban environments;
• Analyze case studies on CWE and its role in reducing damage from extreme wind events;
• Examine computational models and their effectiveness in structural wind load analysis;
• Investigate the integration of machine learning with CWE to enhance simulation efficiency;
• Evaluate the economic and safety benefits of adopting CWE in design practice;
• Discover the role of CWE in predicting wind-induced damage to buildings; and
• Learn how to use CWE for community-scale assessments of wind vulnerabilities.

Intended Audience

This course is designed for engineers, architects, urban planners, and professionals involved in building design and risk assessment. It is ideal for those interested in applying cutting-edge wind engineering techniques to enhance structural resilience and safety.

Benefit to Attendees

By completing this course, attendees will be empowered to integrate CWE into their projects, improving accuracy in wind load predictions and enhancing the resilience of buildings to extreme wind events. You will gain practical knowledge that can be applied directly to real-world design and risk mitigation projects.