Sunday, October 12, 2025

Machine Learning to Speed Up Computational Fluid Dynamics Simulations for Built Environments


In the rapidly evolving world of engineering, Machine Learning (ML) is transforming how we simulate and design built environments. A new wave of research highlights how ML algorithms can dramatically accelerate Computational Fluid Dynamics (CFD) simulations once known for their high computational cost and long processing times.

Traditionally, CFD has been a cornerstone in studying airflow, heat transfer, and pollutant dispersion within buildings and urban landscapes. However, these simulations often require significant computational resources. That’s where machine learning steps in — offering data-driven surrogate models that can predict flow behaviors and environmental performance with remarkable speed and accuracy.

From deep neural networks (DNNs) to physics-informed machine learning (PIML), these advanced techniques are now being integrated into simulation workflows to reduce computation time by up to 90%, while maintaining scientific precision. Researchers are also exploring hybrid approaches that merge CFD solvers with AI-based prediction models, making real-time analysis of ventilation, comfort, and energy efficiency possible.

This synergy between AI and CFD is not just a technological advancement — it’s a sustainability catalyst. Faster, smarter simulations mean engineers can test more designs, optimize energy performance, and create healthier, climate-responsive spaces for the future.

Popular Engineer Awards

Theme: Popular Engineer Awards for a Connected Future

Popular Engineer Awards celebrate groundbreaking contributions in the field of research data analysis. This year’s theme, "Popular Engineer Awards for a Connected Future," highlights the latest innovations, methodologies, and transformative applications that drive scientific discovery and practical solutions.

By recognizing outstanding researchers, teams, and organizations, these awards aim to:

Honor Excellence – Acknowledge remarkable achievements in data-driven research and innovation.

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