Sampling-Based RBDO of Ship Hull Structures Considering Thermo-Elasto-Plastic Residual Deformation |
| |
| Authors: | Myung-Jin Choi Hyunkyoo Cho K K Choi |
| |
| Institution: | 1. National Creative Research Initiatives Center for Isogeometric Optimal Design and Department of Naval Architecture and Ocean Engineering , Seoul National University , Gwanak-gu , Seoul , Korea;2. Department of Mechanical and Industrial Engineering , University of Iowa , Iowa City , Iowa |
| |
| Abstract: | We present a shape optimization method using a sampling-based RBDO method linked with a commercial finite element analysis (FEA) code ANSYS, which is applicable to residual deformation problems of the ship hull structure in welding process. The programming language ANSYS Parametric Design Language (APDL) and shell elements are used for the thermo-elasto-plastic analysis. The shape of the ship hull structure is modeled using the bicubic Ferguson patch and coordinate components of vertices, tangential vectors of boundary curves are selected as design variables. The sensitivity of probabilistic constraint is calculated from the probabilistic sensitivity analysis using the score function and Monte Carlo Simulation (MCS) on the surrogate model constructed by using the Dynamic Kriging (DKG) method. The sequential quadratic programming (SQP) algorithm is used for the optimization. In two numerical examples, the suggested optimization method is applied to practical residual deformation problems in welding ship hull structures, which proves the sampling-based RBDO can be successfully utilized for obtaining a reliable optimum design in highly nonlinear multi-physics problem of thermo-elasto-plasticity. |
| |
| Keywords: | Dynamic Kriging method Monte Carlo Simulation Sampling-based RBDO Stochastic sensitivity analysis Surrogate model Thermo-elasto-plastic analysis Welding deformation |
|
|
