High Performance Computing Method for Multidisciplinary Design Optimization

• 作 者: RenHongpin;
• 机 构: Simulia of Dassult Systems (Shanghai) information technology co., ltd.Shanghai 200120
• 出 处: 7th China-Japan-Korea Joint Symposium on Optimization of Str
• 发表日期: 2012年期

　　Multidisciplinary Design Optimization (MDO) is a design methodology that derives optimal design solutions by concurrently considering various mutually dependent design elements from an assortment of disciplines.As such, it is applicable to the designing of ships and automobiles, as well as to aero vehicles.However, applying MDO methodologies in the real world would require a designer to spend an enormous amount of time Computing and integrating resources used in the process.This paper proposes a High Performance Computing (HPC) environment for MDO methodologies, providing a way that enables designers to utilize computing resources conveniently even without working knowledge of the computing systems.Furthermore, the HPC computing environment yields an optimal MDO environment by allowing for global collaborative cluster compute, which securely acquire computing resources, and by offering users a very high compute capability.