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MAST--多學(xué)科設(shè)計適應(yīng)和靈敏度工具包

2023-07-13 15:56 作者:chen269tianhai  | 我要投稿

The Multidisciplinary-design Adaptation and Sensitivity Toolkit (MAST) is a sensitivity-enabled, multiphysics FEA tool developed to support computational design and engineering analysis.

In addition to analysis of complex, nonlinear physics on large built-up models, MAST supports efficient analytical gradient/sensitivity calculation using direct and adjoint methods. As a result, it is well suited for gradient-based multidisciplinary design optimization processes.

MAST is developed at the Computational Dynamics and Design Laboratory at Mississippi State University in collaboration with the Air Force Research Laboratory (AFRL) Multidisciplinary Science and Technology Center (MSTC).

The MAST website is https://mastmultiphysics.github.io and includes examples/tutorials, API documentation, and a growing theory/users guide.

特色功能

液體

可壓縮歐拉方程的SU/PG離散化

歐拉方程的小干擾線性時域和頻域求解器

可壓縮Navier-Stokes方程的SU/PG離散化(實驗)

流固耦合(FSI)

基于結(jié)構(gòu)與流體離散耦合的小擾動顫振解

時間精確的流固耦合(實驗)

空氣彈性

帶模態(tài)跟蹤的U-g顫振求解器

活塞理論空氣動力學(xué)時域顫振求解器

分析靈敏度分析幾乎所有的分析能力

多個優(yōu)化器的接口(GCMMA, DOT, NPSOL)

拓?fù)鋬?yōu)化(TO)

基于水平集的方法

Density-based方法


MAST--多學(xué)科設(shè)計適應(yīng)和靈敏度工具包的評論 (共 條)

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