High-Performance Computing and Surrogate Modeling for Rapid Visualization with Multidisciplinary Optimization

摘要

The use of high-performance computing for rapid visualization of design alternatives and the subsequent use of such visualization for design steering during the multidisciplinary optimization (MDO) process are investigated. Surrogate models based on polynomial response surfaces and message-passing-interface-based parallel programming models are used for rapid visualization of the physical model behavior responses corresponding to changes in the design variables. Application of the proposed procedure for vehicle structure impact design optimization is investigated involving both sizing and shape design variables. Mesh morphing is used in conjunction with the shape design changes. Rapid visualization of physical model behavior for changes in design variables during the MDO process facilitates collaboration of discipline experts that in turn facilitate steering of the design and enhances efficiency of the MDO process.