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| Iterative updating inversion method based on POD-RBF surrogate model |
| Received:December 01, 2020 Revised:April 09, 2021 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx20201201001 |
| KeyWord:surrogate model POD-RBF parameter inversion PSO Gauss-Newton method |
| Author | Institution |
| 吕小龙 |
河海大学 力学与材料学院, 南京 |
| 黄丹 |
河海大学 力学与材料学院, 南京 |
| 姜冬菊 |
河海大学 力学与材料学院, 南京 |
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| Abstract: |
| To address the high computation workload in finite element analysis in the general inverse analysis of large engineering structures like hydraulic dams,a precise and robust POD-RBF surrogate model and an iterative updating inversion algorithm were constructed.Based on the data samples obtained from the finite element method,we can interpolate eigenvectors abstracted by POD method using RBF to get a surrogate model of the finite element model.Combining the global optimization ability of particle swarm optimization algorithm and the fast local convergence advantage of Gauss-Newton method,a new efficient iterative inversion method was established and applied to the zonal elastic modulus inversion of a concrete dam.The results shown the applicability of this method for mechanical parameter inversion of large concrete structures such as dams.Meanwhile,compared with traditional methods,this inverse framework consisting of the POD-RBF surrogate model and the iterative updating method can get good performance both on the inversion accuracy and the efficiency of computation. |