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公开(公告)号：US20230315945A1
公开(公告)日：2023-10-05
申请号：US18188331
申请日：2023-03-22
Applicant: DASSAULT SYSTEMES
Abstract: A computer-implemented method for designing a manufacturing product. The method includes obtaining a CAD model representing the manufacturing product. The CAD model includes a feature tree. The feature tree has one or more CAD parameters each having an initial value. The method also includes obtaining an optimization program. The optimization program is specified by one or more use and/or manufacturing performance indicators. The one or more indicators having one or more objective functions and/or one or more constraints. The method further includes modifying the initial values of the one or more CAD parameters by solving the optimization program using a gradient-based optimization method. The optimization method has as free variable the one or more CAD parameters and uses sensitivities. Each sensitivity is an approximation of a respective derivative of a respective performance indicator with respect to a respective CAD parameter.
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公开(公告)号：US20230244839A1
公开(公告)日：2023-08-03
申请号：US17590041
申请日：2022-02-01
Applicant: Dassault Systemes Simulia Corp.
Inventor： Damiano Casalino , Wouter van der Velden
IPC: G06F30/28
CPC classification number: G06F30/28 , G06F2119/10
Abstract: Techniques for conducting an air flow simulation for a wind turbine are described. The techniques include importing a file containing a digitized representation of a three-dimensional blade geometry, extracting from the file, blade constructive parameters, and calculating a low-order air flow past a wind-turbine that includes the blade, based on a Blade Element Momentum Theory (BEMT) to determine sectional angle of attack and free-stream velocity, boundary layer transition, and acoustic noise results. The techniques also include performing air flow simulation for a given number of blade sections, and generating virtual microphone rings. The process also includes computing noise spectra at the virtual microphone rings and blending the noise spectra generated and generating synthetic noise signals from each section by inverse Fourier transform of the noise spectra and converting the noise spectra into an audio track.
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公开(公告)号：US20230195796A1
公开(公告)日：2023-06-22
申请号：US18067902
申请日：2022-12-19
Applicant: DASSAULT SYSTEMES
Inventor： Eric VALLET GLENISSION
IPC: G06F16/901 , G06F16/906 , G06F7/08
CPC classification number: G06F16/9024 , G06F16/906 , G06F7/08
Abstract: A method for compressing RDF tuples. The method including obtaining RDF tuples, obtaining a dictionary of indices, encoding for each RDF tuple the indices attributed to the subject and the object, grouping RDF tuples sharing the same predicate and for each group sorting the RDF tuples by considering the encoding of the subject and the object, and for each group of sorted RDF tuples, serializing the index of the shared predicate, serializing the encoding of the subject and the object of a first RDF tuple, and for each RDF tuple of the group of sorted RDF tuples subsequent to the first RDF tuple of the group, computing a difference between the encoding of the subject and the object of a current RDF tuple and the encoding of the subject and the object of a previous RDF tuple, and serializing the computed difference in a form of a variable-length integer.
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公开(公告)号：US11675939B2
公开(公告)日：2023-06-13
申请号：US17107434
申请日：2020-11-30
Applicant: DASSAULT SYSTEMES
Inventor： Nicolas Montana , Andre Lieutier , Marc Monteil
CPC classification number: G06F30/23 , G06F30/13 , G06T7/10 , G06T17/205 , G06T2207/20152
Abstract: A computer-implemented method for civil engineering including obtaining a mesh representing a terrain and a polyline on the mesh, the method further includes computing a contributor of the polyline. The computing of the contributor includes modifying the mesh by determining, based on the polyline, a trench below the polyline. The computing of the contributor further includes computing a watershed segmentation of the terrain based on the modified mesh. The computing of the contributor further includes, based on the computed watershed segmentation, identifying, on the modified mesh, a basin comprising the trench. The contributor corresponds to the identified basin.
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公开(公告)号：US11651125B2
公开(公告)日：2023-05-16
申请号：US17992045
申请日：2022-11-22
Applicant: Dassault Systemes Simulia Corp.
Inventor： Bernd Crouse , Rui Xu , Guangyuan Sun
CPC classification number: E21B41/00 , E21B49/00 , G01V99/005 , G06T7/60 , E21B43/168 , E21B43/20 , G06T2207/10081 , G06T2207/30181
Abstract: Systems, methods, and computer program products can be used for determining the amount of oil removed by a miscible gas flood. One of the methods includes identifying locations of oil within a volume representing a reservoir rock sample. The method includes identifying locations of gas within the volume. The method also includes determining the amount of oil removed based on locations within the volume where oil is either coincident with the gas or is connected to the gas by a continuous oil path.
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Patent Agency Ranking
公开(公告)号：US11568109B2
公开(公告)日：2023-01-31
申请号：US16868265
申请日：2020-05-06
Applicant: DASSAULT SYSTEMES
Inventor： Asma Rejeb Sfar , Mariem Mezghanni , Malika Boulkenafed
IPC: G06F30/27 , G06F30/17 , G06N3/08 , G06N5/04 , G06F111/18 , G06N3/04 , G06N3/00 , G06F111/00 , G06F30/12
Abstract: A computer-implemented method of machine-learning is described that includes obtaining a dataset of virtual scenes. The dataset of virtual scenes belongs to a first domain. The method further includes obtaining a test dataset of real scenes. The test dataset belongs to a second domain. The method further includes determining a third domain. The third domain is closer to the second domain than the first domain in terms of data distributions. The method further includes learning a domain-adaptive neural network based on the third domain. The domain-adaptive neural network is a neural network configured for inference of spatially reconfigurable objects in a real scene. Such a method constitutes an improved method of machine learning with a dataset of scenes including spatially reconfigurable objects.
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公开(公告)号：US20230014934A1
公开(公告)日：2023-01-19
申请号：US17866193
申请日：2022-07-15
Applicant: DASSAULT SYSTEMES
Inventor： Mariem MEZGHANNI , Julien BOUCHER , Paul VILLEDIEU
Abstract: The disclosure relates to a computer-implemented method comprising inputting a representation of a 3D modeled object to an abstraction neural network which outputs a first set of a first number of first primitives fitting the 3D modeled object; and determining, from the first set, one or more second sets each of a respective second number of respective second primitives. The second number is lower than the first number. The determining includes initializing a third set of third primitives as the first set and performing one or more iterations, each comprising merging one or more subsets of third primitives together each into one respective single fourth primitive, to thereby obtain a fourth set of fourth primitives. Each iteration further comprises setting the third set of a next iteration as the fourth set of a current iteration and setting the one or more second sets as one or more obtained fourth sets.
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公开(公告)号：US20220405448A1
公开(公告)日：2022-12-22
申请号：US17829987
申请日：2022-06-01
Applicant: DASSAULT SYSTEMES , ECOLE POLYTECHNIQUE , CNRS
Inventor： Mariem MEZGHANNI , Théo BODRITO , Malika BOULKENAFED , Maks OVSJANIKOV
Abstract: A computer-implemented method of machine-learning. The method comprises providing a dataset of 3D modeled objects each representing a mechanical part. Each 3D modeled object comprises a specification of a geometry of the mechanical part. The method further comprises learning a set of parameterization vectors each respective to a respective 3D modeled object of the dataset and a neural network configured to take as input a parameterization vector and to output a representation of a 3D modeled object usable in a differentiable simulation-based shape optimization. The learning comprises minimizing a loss that penalizes, for each 3D modeled object of the dataset, a disparity between the output of the neural network for an input parameterization vector respective to the 3D modeled object and a representation of the 3D modeled object. The representation of the 3D modeled object is usable in a differentiable simulation-based shape optimization.
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公开(公告)号：US20220382930A1
公开(公告)日：2022-12-01
申请号：US17664446
申请日：2022-05-23
Applicant: DASSAULT SYSTEMES
Inventor： Lucas BRIFAULT
Abstract: A computer-implemented method for parametrization of a computer-aided design 3D model of a mechanical part including a portion having a distribution of material arranged as a sweep. The sweep has a trajectory and a boundary. The method includes obtaining the 3D model, the 3D model including a skin portion representing an outer surface of the portion of the mechanical part, and one or more vector fields, each vector field representing the boundary and/or the trajectory. The method further includes, for each vector field, determining a distribution of values of a respective parameter of the skin portion by optimizing an objective function which rewards alignment of a gradient of a candidate parameter with the vector field.
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公开(公告)号：US11514214B2
公开(公告)日：2022-11-29
申请号：US16727338
申请日：2019-12-26
Applicant: DASSAULT SYSTEMES
Inventor： Fernando Manuel Sanchez Bermudez , Eloi Mehr
Abstract: A computer-implemented method for forming a dataset configured for learning a neural network. The neural network is configured for inference, from a freehand drawing representing a 3D shape, of a solid CAD feature representing the 3D shape. The method includes generating one or more solid CAD feature includes each representing a respective 3D shape. The method also includes, for each solid CAD feature, determining one or more respective freehand drawings each representing the respective 3D shape, and inserting in the dataset, one or more training samples. Each training sample includes the solid CAD feature and a respective freehand drawing. The method forms an improved solution for inference, from a freehand drawing representing a 3D shape, of a 3D modeled object representing the 3D shape.
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