PINN surrogate model for nonlinear equilibrium path analysis of von Mises shallow truss
Abstract This paper introduces the application of a surrogate physics-informed neural network (PINN) model for the comprehensive analysis of nonlinear equilibrium paths in Von Mises planar shallow trusses. Such studies are crucial in advancing the theory of stability for truss structures. Stability...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-04-01
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| Series: | Journal of Big Data |
| Online Access: | https://doi.org/10.1186/s40537-025-01095-9 |
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