[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Kazemi et al., 2022 - Google Patents

Multiphysics design optimization via generative adversarial networks

Kazemi et al., 2022

View HTML
Document ID
16614404856478379130
Author
Kazemi H
Seepersad C
Alicia Kim H
Publication year
Publication venue
Journal of Mechanical Design

External Links

Snippet

This work presents a method for generating concept designs for coupled multiphysics problems by employing generative adversarial networks (GANs). Since the optimal designs of multiphysics problems often contain a combination of features that can be found in the …
Continue reading at asmedigitalcollection.asme.org (HTML) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5009Computer-aided design using simulation
    • G06F17/5018Computer-aided design using simulation using finite difference methods or finite element methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5086Mechanical design, e.g. parametric or variational design
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F2217/00Indexing scheme relating to computer aided design [CAD]
    • G06F2217/16Numerical modeling
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00Computer systems based on specific mathematical models
    • G06N7/005Probabilistic networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T13/00Animation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management

Similar Documents

Publication Publication Date Title
Nie et al. Topologygan: Topology optimization using generative adversarial networks based on physical fields over the initial domain
Oh et al. Deep generative design: Integration of topology optimization and generative models
Chen et al. Padgan: Learning to generate high-quality novel designs
Deng et al. A parametric level set method for topology optimization based on deep neural network
Ates et al. Two-stage convolutional encoder-decoder network to improve the performance and reliability of deep learning models for topology optimization
Chen et al. Synthesizing designs with interpart dependencies using hierarchical generative adversarial networks
Tai et al. Design synthesis of path generating compliant mechanisms by evolutionary optimization of topology and shape
Tai et al. Design of structures and compliant mechanisms by evolutionary optimization of morphological representations of topology
Behzadi et al. Gantl: Toward practical and real-time topology optimization with conditional generative adversarial networks and transfer learning
Natekar et al. Constructive solid analysis: a hierarchical, geometry-based meshless analysis procedure for integrated design and analysis
Shahan et al. Bayesian network classifiers for set-based collaborative design
Whalen et al. Toward reusable surrogate models: Graph-based transfer learning on trusses
Kazemi et al. Multiphysics design optimization via generative adversarial networks
Napier et al. An artificial neural network approach for generating high-resolution designs from low-resolution input in topology optimization
Li et al. Using physics-informed generative adversarial networks to perform super-resolution for multiphase fluid simulations
Bielecki et al. Multi-stage deep neural network accelerated topology optimization
Rastegarzadeh et al. Neural network-assisted design: a study of multiscale topology optimization with smoothly graded cellular structures
Li et al. Graphfit: Learning multi-scale graph-convolutional representation for point cloud normal estimation
Nobari et al. Range-constrained generative adversarial network: Design synthesis under constraints using conditional generative adversarial networks
Seo et al. Development of deep convolutional neural network for structural topology optimization
Liu et al. Multifidelity physics-constrained neural networks with minimax architecture
Rostami et al. Cooperative coevolutionary topology optimization using moving morphable components
Xing et al. Shared-gaussian process: Learning interpretable shared hidden structure across data spaces for design space analysis and exploration
Parrott et al. Multidisciplinary topology optimization using generative adversarial networks for physics-based design enhancement
Chen et al. Gan-duf: Hierarchical deep generative models for design under free-form geometric uncertainty