Artificial intelligence in structural and thermal simulation

09-05-2024 | Posted by Joaquín Martí

Inteligencia artificial en la simulación estructural y térmica

Structural and thermal simulation is an essential tool for engineers and scientists across a wide range of industries. However, preparing and executing complex structural and thermal simulations can be slow and computationally expensive tasks. Fortunately, artificial intelligence (AI) is gradually transforming the field of simulation, substantially improving the accuracy, efficiency, and accessibility of simulation tools.

Specific ways in which AI is currently used in structural and thermal simulation include:

  • Developing more precise simulation models through machine learning from real-world data. For example, understanding properties of different materials or producing better models of structural behaviour under various loading conditions.
  • Reducing computational costs of simulations using machine learning. This involves developing more efficient algorithms to solve equations of structural and thermal mechanics. For instance, AI designs algorithms that can run on smaller computers or run faster on parallel computers.
  • Automating many tasks involved in simulation, such as mesh generation, model calibration, and post-processing of results. This frees up engineers and scientists to focus on more creative and strategic tasks.
  • Creating more interactive and immersive simulation experiences, such as simulations controlled by natural language commands or gestures. This makes simulation accessible to a broader range of users and enhances its appeal and effectiveness for training and education purposes.

Inteligencia artificial en la simulación estructural y térmica


Some of the institutions currently using AI to enhance their structural and thermal simulations include:



  • At Stanford University, they have developed an AI-driven tool to predict aircraft structure failures, enhancing safety and reliability.
  • Siemens is using AI in developing more efficient algorithms for solving fluid dynamics equations, enabling faster and more accurate fluid simulations.
  • The University of California, Berkeley, has created an AI-driven tool that generates meshes for complex structural models, saving time and effort for users.
  • Software companies like Autodesk and Dassault Systèmes are incorporating AI into their structural and thermal simulation software, making simulation more accessible to a wider user base and more effective for training and education purposes.

In terms of structural simulation, it is noteworthy that AI is a key tool in the area of structural health monitoring due to its ability to process large amounts of data, identify patterns, and make predictions.

Artificial Intelligence is an increasingly powerful tool with multiple uses and forms to enhance structural and thermal simulation. In the very near future, we can expect even more innovative and transformative applications.

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