Patent search ap:("Dassault Systemes Simulia Corp.") AND inv:"Michael Wood" Page 1

1.

发明申请
Analytical Consistent Sensitivities For Nonlinear Equilibriums, Where The Only Source Of Nonlinearities Is Small Sliding Contact Constraints 审中-公开

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.

2.

发明授权
Analytical consistent sensitivities for nonlinear equilibriums, where the only source of nonlinearities is small sliding contact constraints 有权

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.

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