The article further discusses how wind engineering consultants use CFD and AI to deliver more effective solutions, and the importance of providing holistic assessment and solution development. Vasan explains how the use of these tools allows for simultaneous assessment of multiple connected disciplines, revolutionizing the consulting process. She concludes by emphasizing the importance of the synergistic relationship between wind engineering researchers and practitioners, and the transformative impact of recent advances in CFD, AI, and ML on the technologies available to consultants.
Key takeaways:
- Advancements in Computational Fluid Dynamics (CFD), Artificial Intelligence (AI), and Machine Learning (ML) have significantly transformed the field of wind engineering, enabling more accurate and efficient wind and microclimate studies.
- There is a co-dependent relationship between research and consulting in wind engineering. The practical challenges faced by consultants often drive the need for more scientific research, which in turn informs and improves the application of solutions in the field.
- CFD, AI, and ML are increasingly being used in the consulting industry to deliver more effective solutions. These tools allow consultants to balance quality, cost, and speed, and to conduct multidisciplinary assessments that consider multiple connected disciplines simultaneously.
- Case studies, such as a building project in San Francisco, illustrate how the use of CFD and ML can significantly reduce time and cost in the design process, and enable more informed and efficient decision-making.