公开(公告)号：US10740513B2

公开(公告)日：2020-08-11

申请号：US14136783

申请日：2013-12-20

Applicant: Dassault Systèmes Simulia Corp.

Inventor： Harrington Hunter Harkness

IPC: G06F30/23

Abstract: An embodiment of the invention involves increasing the penalty stiffness within a finite element simulation increment, which is more accurate because it avoids following a solution path with significant non-physical penetrations. An embodiment of the present invention begins by determining a first value of a parameter used by a finite element simulation of a load increment. Next, a first solution of the finite element simulation is determined by performing Newton iterations using the first value of the parameter until a first convergence check is satisfied. Then, a second value the parameter is determined wherein the second value of the parameter is unequal to the first value of the parameter. Finally, a second solution of the finite element simulation is determined by continuing the Newton iterations using the second value of the parameter until a second convergence check is satisfied, the first convergence check being different than the second convergence check.

公开(公告)号：US10229179B2

公开(公告)日：2019-03-12

申请号：US15377285

申请日：2016-12-13

Applicant: Dassault Systèmes Simulia Corp.

Inventor： Alexander Jacobus Maria Van der Velden

IPC: G06F3/048 ,  G06F17/30

Abstract: In the proposed approach cluster elements (bins) are made available as a keypad in the form of a cluster map. The user directly selects the cluster element (bin) with a mouse, touch or actual keypad. For each of the associated attributes, a cluster map is available that orders the attributes from high-to-low by color or shade intensity. When a cluster element is selected in one cluster map, that same cluster element is also highlighted in other cluster maps. For each of the cluster maps, a value axis is available which shows the value of the parameter for the selected cluster element. In the case of numerical values, the high/low attribute pattern across the cluster maps is easily visible. The selected data objects in the cluster map are displayed in a separate widget.

公开(公告)号：US09582519B2

公开(公告)日：2017-02-28

申请号：US13967612

申请日：2013-08-15

Applicant: Dassault Systèmes Simulia Corp.

Inventor： Alexander Jacobus Maria Van der Velden

IPC: G06F3/048 ,  G06F17/30

CPC classification number: G06F17/30572 ,  G06F17/30277 ,  G06F17/30601 ,  G06F17/30864 ,  G06F17/30991 ,  G06F17/30994

Abstract: In the proposed approach cluster elements (bins) are made available as a keypad in the form of a cluster map. The user directly selects the cluster element (bin) with a mouse, touch or actual keypad. For each of the associated attributes, a cluster map is available that orders the attributes from high-to-low by color or shade intensity. When a cluster element is selected in one cluster map, that same cluster element is also highlighted in other cluster maps. For each of the cluster maps, a value axis is available which shows the value of the parameter for the selected cluster element. In the case of numerical values, the high/low attribute pattern across the cluster maps is easily visible. The selected data objects in the cluster map are displayed in a separate widget.

Abstract translation: 在所提出的方法中，集群元素（箱）可以以集群映射的形式作为键盘提供。 用户使用鼠标，触摸或实际键盘直接选择群集元素（bin）。 对于每个相关属性，可以使用通过颜色或阴影强度从高到低排列属性的集群映射。 当在一个集群映射中选择一个集群元素时，同一个集群元素也会在其他集群映射中突出显示。 对于每个集群映射，值轴可用，显示所选集群元素的参数值。 在数值的情况下，集群映射中的高/低属性模式很容易看到。 集群映射中选定的数据对象将显示在单独的窗口小部件中。

公开(公告)号：US20160179992A1

公开(公告)日：2016-06-23

申请号：US14574843

申请日：2014-12-18

Applicant: Dassault Systèmes Simulia Corp.

Inventor： Alexander Jacobus Maria Van der Velden

IPC: G06F17/50 ,  G06F17/10

CPC classification number: G06F17/5009 ,  G06F17/10 ,  G06F17/50

Abstract: Embodiments provide methods and systems for constructing surrogate models for use in interactive experiences. One such embodiment begins by defining a model that includes a parametric state vector and a design variable vector and represents a real world system. Next, a first and second experiment are performed to determine a response over time of the parametric state vector and to produce a dataset of the parametric state vector and the design variable vector as a function of time. The dataset is then modified with one or more derivatives of the parametric state vector and a set of surrogate differential equations is constructed that approximates a higher derivative of the parametric state vector relative to that in the dataset and the set of surrogate differential equations is stored as a surrogate model. The surrogate model is in turn provided from memory in a manner accelerating simulated behavior in response to user-interaction with the model.

Abstract translation: 实施例提供了用于构建用于交互式体验的代理模型的方法和系统。 一个这样的实施例开始于定义包括参数状态向量和设计变量向量并且表示真实世界系统的模型。 接下来，执行第一和第二实验以确定参数状态向量随时间的响应，并且产生作为时间的函数的参数状态向量和设计变量向量的数据集。 然后用参数状态向量的一个或多个导数修改数据集，并构造一组代数微分方程，其相对于数据集中的参数状态向量近似于参数状态向量的较高导数，并且替代微分方程组被存储为 代理模式。 替代模型又从内存中以加速模拟行为的方式响应于与模型的用户交互而提供。

公开(公告)号：US20160019325A1

公开(公告)日：2016-01-21

申请号：US14331442

申请日：2014-07-15

Applicant: Dassault Systèmes Simulia Corp.

Inventor： Mikhail Belyi ,  Vladimir Belsky ,  Victor Oancea

IPC: G06F17/50

CPC classification number: G06F17/5018 ,  G06F2217/16

Abstract: Modal dynamic analysis for finite element models (FEMs) that include Lagrange multipliers may generate incorrect stress and reaction forces. Thus, embodiments of the present invention provide methods and systems for performing a modal analysis that corrects these errors. One such embodiment begins by providing a FEM, the FEM is employed in a modal analysis modeling stress and reaction forces of the FEM using Lagrange multipliers. Next, a correction term is calculated. Then, the method concludes by modifying (and thus improving) the modal analysis using the correction term to alter the Lagrange multipliers.

Abstract translation: 包含拉格朗日乘数的有限元模型（FEM）的模态动力学分析可能会产生不正确的应力和反作用力。 因此，本发明的实施例提供了用于执行校正这些错误的模态分析的方法和系统。 一个这样的实施例开始于提供FEM，FEM用于使用拉格朗日乘数的FEM的模态分析建模应力和反作用力。 接下来，计算校正项。 然后，该方法通过使用校正项修改（并因此改进）模态分析来改变拉格朗日乘数。

公开(公告)号：US10311180B2

公开(公告)日：2019-06-04

申请号：US14331442

申请日：2014-07-15

Applicant: Dassault Systèmes Simulia Corp.

Inventor： Mikhail Belyi ,  Vladimir Belsky ,  Victor Oancea

IPC: G06F17/50

Abstract: Modal dynamic analysis for finite element models (FEMs) that include Lagrange multipliers may generate incorrect stress and reaction forces. Computer systems and computer-implemented methods are provided for modifying the modal analysis to correctly generate stress and reaction forces. The systems and methods perform the modal analysis by employing a FEM and modeling stress and reaction forces of the FEM using Lagrange multipliers. The systems and methods calculate a correction term that comprises corrected values of the Lagrange multipliers. The methods and systems modify (and improve) the modal analysis by using the correction term to correct the Lagrange multipliers of the FEM, which enables the modal analysis to generate correct stress and reaction forces.

公开(公告)号：US20160042106A1

公开(公告)日：2016-02-11

申请号：US14765425

申请日：2013-04-30

Applicant: DASSAULT SYSTÈMES SIMULIA CORP.

Inventor： Manish Chauhan ,  Dhiraj Nahar ,  Sumit Pal ,  Sameer Shah

IPC: G06F17/50

CPC classification number: G06F17/5018

Abstract: The present invention relates to a method and corresponding system for generating a computer-aided design (CAD) model from a finite element mesh. The method of the invention begins with selecting one or more mesh-element-faces on a finite element mesh that represents a geometric object to be formed of one or more geometric faces. Next, from the one or more selected mesh-element-faces, respective geometric faces are generated. Finally, any generated geometric faces are stitched together to make a geometric shell of the geometric object that the finite element mesh represents.

Abstract translation: 本发明涉及一种用于从有限元网格生成计算机辅助设计（CAD）模型的方法和对应系统。 本发明的方法开始于在有限元网格上选择一个或多个网格元素面，该网格元素面代表由一个或多个几何面形成的几何对象。 接下来，从一个或多个所选择的网格元件面​​生成相应的几何面。 最后，任何生成的几何面被缝合在一起，以形成有限元网格表示的几何对象的几何外壳。

公开(公告)号：US20150178423A1

公开(公告)日：2015-06-25

申请号：US14136783

申请日：2013-12-20

Applicant: Dassault Systèmes Simulia Corp.

Inventor： Harrington Hunter Harkness

IPC: G06F17/50

Abstract: An embodiment of the invention involves increasing the penalty stiffness within a finite element simulation increment, which is more accurate because it avoids following a solution path with significant non-physical penetrations. An embodiment of the present invention begins by determining a first value of a parameter used by a finite element simulation of a load increment. Next, a first solution of the finite element simulation is determined by performing Newton iterations using the first value of the parameter until a first convergence check is satisfied. Then, a second value the parameter is determined wherein the second value of the parameter is unequal to the first value of the parameter. Finally, a second solution of the finite element simulation is determined by continuing the Newton iterations using the second value of the parameter until a second convergence check is satisfied, the first convergence check being different than the second convergence check.

Abstract translation: 本发明的一个实施例涉及增加有限元模拟增量内的惩罚刚度，其更准确，因为它避免了遵循具有显着的非物理穿透的解路径。 本发明的实施例通过确定由负载增量的有限元模拟使用的参数的第一值开始。 接下来，通过使用参数的第一值执行牛顿迭代来确定有限元模拟的第一解，直到满足第一收敛检验。 然后，确定参数的第二值，其中参数的第二值不等于参数的第一个值。 最后，通过使用参数的第二值继续牛顿迭代来确定有限元模拟的第二解，直到满足第二收敛检验，第一收敛检验不同于第二收敛检验。

公开(公告)号：US20170091297A1

公开(公告)日：2017-03-30

申请号：US15377285

申请日：2016-12-13

Applicant: Dassault Systèmes Simulia Corp.

Inventor： Alexander Jacobus Maria Van der Velden

IPC: G06F17/30

CPC classification number: G06F17/30572 ,  G06F17/30277 ,  G06F17/30601 ,  G06F17/30864 ,  G06F17/30991 ,  G06F17/30994

Abstract: In the proposed approach cluster elements (bins) are made available as a keypad in the form of a cluster map. The user directly selects the cluster element (bin) with a mouse, touch or actual keypad. For each of the associated attributes, a cluster map is available that orders the attributes from high-to-low by color or shade intensity. When a cluster element is selected in one cluster map, that same cluster element is also highlighted in other cluster maps. For each of the cluster maps, a value axis is available which shows the value of the parameter for the selected cluster element. In the case of numerical values, the high/low attribute pattern across the cluster maps is easily visible. The selected data objects in the cluster map are displayed in a separate widget.