Perhaps you are familiar with this situation: after preparing your model and initiating the simulation, you open the monitor window and find that it remains empty for a longer period of time than you would prefer. You realize that the simulation is taking longer than you had anticipated, and you begin to question whether there are methods to accelerate the process without significantly compromising the precision of the outcomes.
There are several ways to speed up Abaqus analysis, including:
- Reduce the model size: One of the most effective ways to speed up Abaqus analysis is to reduce the size of the model. This can be achieved by removing unnecessary details or simplifying the geometry of the model without compromising the accuracy of the results.
- Use element types wisely: Choosing the appropriate element type for each part of the model can significantly impact the analysis time. Using simpler elements with fewer degrees of freedom can reduce the computational effort required to solve the problem.
- Optimize the mesh: The mesh size and quality can affect both the accuracy and the computational time of the analysis. A too fine mesh can increase the analysis time and memory requirements, while a too coarse mesh can compromise the accuracy of the results. Therefore, optimizing the mesh size and quality can help to speed up the analysis.
- Use adaptive meshing: Adaptive meshing involves automatically refining the mesh in areas where higher accuracy is required while keeping a coarser mesh in areas where lower accuracy is acceptable. This can reduce the overall mesh size and improve the accuracy of the results while minimizing the computational cost.
- Use symmetry: Taking advantage of symmetry in the model can reduce the size of the problem, which can significantly reduce the computational time. For example, if the model is symmetric about a plane, only one-half of the model needs to be analyzed.
- Use parallel processing: Abaqus supports parallel processing, which involves breaking up the analysis into smaller pieces and solving them simultaneously. Using parallel processing can significantly reduce the analysis time, especially for large models.
- Use efficient hardware: Using a high-performance computer or cluster with sufficient RAM and processing power can significantly reduce the analysis time.
- Use mass scaling: Mass scaling is a technique used in Abaqus to adjust the mass of the model during the analysis. Mass scaling may speed up the Abaqus analysis in certain situations, but it depends on the specific problem and the characteristics of the model.
Overall, there are many ways to speed up Abaqus analysis, and the best approach will depend on the specific problem and the available resources. By using a combination of these tips and techniques, you can optimize the analysis settings, reduce the computational time, and improve the accuracy of the results.
Also, you can find some interesting points about speeding up quasi-static analysis in the article below:
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