Finite Element Analysis with Cloud-Based High-Performance Computing

Finite Element Analysis (FEA) is a critical tool in engineering, allowing for the prediction and analysis of how structures and systems behave under various conditions, such as forces, vibrations, and heat. Historically limited by the need for substantial computational power, FEA has been revolutionized by the advent of cloud high-performance computing (HPC), which offers scalable and cost-effective resources. This advancement facilitates more complex simulations and faster design iterations across industries like aerospace, automotive, and energy. The development of hybrid Finite Element Method-Neural Network (FEM-NN) models further enhances FEA by combining traditional physics-based modeling with adaptive learning capabilities, improving accuracy and efficiency. Moreover, the rise of open-source FEA software, supported by community-driven improvements, provides affordable alternatives for engineers, encouraging broader access and innovation. Despite these advancements, challenges remain in data management and integration with existing workflows, necessitating strategic approaches to metadata management and cost control. Overall, the integration of FEA with cloud HPC is transforming engineering processes, leading to innovative designs and more efficient resource utilization.