公开(公告)号：US20180189433A1

公开(公告)日：2018-07-05

申请号：US15393830

申请日：2016-12-29

Applicant: Dassault Systemes Simulia Corp.

Inventor： Vladimir Belsky ,  Claus Bech Wittendorf Pedersen ,  Michael Wood

IPC: G06F17/50 ,  G06F17/11

Abstract: Provided are a computer-based method and system of simulating a physical real-world system. Such a method begins by defining, in memory of a processor, a model comprising a plurality of design variables where the defined model represents a real-world physical system and where behavior of the model is given by an equation stored in the memory. The method/system uses the equation to iteratively optimize the defined model with respect to a given one of the plurality of design variables by simultaneously solving for equilibrium of the model and for the design response sensitivity of the given design variable, for the equilibrium, in a given optimization iteration. According to such an embodiment, iteratively optimizing the model results in an improved simulation of the real-world physical system.

公开(公告)号：US10685154B2

公开(公告)日：2020-06-16

申请号：US15393830

申请日：2016-12-29

Applicant: Dassault Systemes Simulia Corp.

Inventor： Vladimir Belsky ,  Claus Bech Wittendorf Pedersen ,  Michael Wood

IPC: G06F30/23 ,  G06F111/10

Abstract: Provided are a computer-based method and system of simulating a physical real-world system. Such a method begins by defining, in memory of a processor, a model comprising a plurality of design variables where the defined model represents a real-world physical system and where behavior of the model is given by an equation stored in the memory. The method/system uses the equation to iteratively optimize the defined model with respect to a given one of the plurality of design variables by simultaneously solving for equilibrium of the model and for the design response sensitivity of the given design variable, for the equilibrium, in a given optimization iteration. According to such an embodiment, iteratively optimizing the model results in an improved simulation of the real-world physical system.

公开(公告)号：US10546076B2

公开(公告)日：2020-01-28

申请号：US15392095

申请日：2016-12-28

Applicant: Dassault Systemes Simulia Corp.

Inventor： Claus Bech Wittendorf Pedersen ,  Vladimir Belsky ,  Kingshuk Bose

IPC: G06F17/50 ,  G06F17/11

Abstract: Embodiments provide methods and systems for optimizing a physical system. One such example embodiment begins by defining, in memory of a processor, a model comprising a plurality of design variables where the defined model represents a real-world physical system where behavior of the model is given by an equation that includes corresponding sensitivity equations for the plurality of design variables. The example method continues by iteratively optimizing the model with respect to a given design variable of the plurality, using the equation. In an example embodiment, the optimizing includes the processor accounting for a given external intervention event between equilibriums by adding a term for design response sensitivity of the given one of the plurality of design variables to the corresponding sensitivity equation of the given design variable. Such optimizing results in an improved optimization of the real-world physical model.

公开(公告)号：US20180181691A1

公开(公告)日：2018-06-28

申请号：US15392095

申请日：2016-12-28

Applicant: Dassault Systemes Simulia Corp.

Inventor： Claus Bech Wittendorf Pedersen ,  Vladimir Belsky ,  Kingshuk Bose

IPC: G06F17/50 ,  G06F17/11

CPC classification number: G06F17/5009 ,  G06F17/11 ,  G06F17/5018

Abstract: Embodiments provide methods and systems for optimizing a physical system. One such example embodiment begins by defining, in memory of a processor, a model comprising a plurality of design variables where the defined model represents a real-world physical system where behavior of the model is given by an equation that includes corresponding sensitivity equations for the plurality of design variables. The example method continues by iteratively optimizing the model with respect to a given design variable of the plurality, using the equation. In an example embodiment, the optimizing includes the processor accounting for a given external intervention event between equilibriums by adding a term for design response sensitivity of the given one of the plurality of design variables to the corresponding sensitivity equation of the given design variable. Such optimizing results in an improved optimization of the real-world physical model.