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Real-Time structure topology optimization using CNN driven Moving Morphable component method

https://doi.org/10.1016/j.engstruct.2023.116376

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Isogeometric topology optimization for continuum structures using density distribution function

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U-Net: Convolutional Networks for Biomedical Image Segmentation

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Optimal shape design as a material distribution problem

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The stiffness spreading method for layout optimization of truss structures

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A new topology optimization approach based on Moving Morphable Components (MMC) and the ersatz material model

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Deep learning for determining a near-optimal topological design without any iteration

inferredcites →https://doi.org/10.1007/s00158-019-02353-0openalex-snapshot

Hollow structural design in topology optimization via moving morphable component method

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Layout optimization of continuum structures embedded with movable components and holes simultaneously

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An investigation concerning optimal design of solid elastic plates

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A simple evolutionary procedure for structural optimization

inferredcites →https://doi.org/10.1016/j.aei.2021.101472openalex-snapshot

Deep learning driven real time topology optimisation based on initial stress learning

inferredcites →https://doi.org/10.1016/j.apm.2021.04.009openalex-snapshot

Accurate and real-time structural topology prediction driven by deep learning under moving morphable component-based framework

inferredcites →https://doi.org/10.1016/j.cma.2020.112886openalex-snapshot

New hybrid reliability-based topology optimization method combining fuzzy and probabilistic models for handling epistemic and aleatory uncertainties

inferredcites →https://doi.org/10.1016/j.engstruct.2020.110330openalex-snapshot

Smooth topological design of structures using the floating projection

inferredcites →https://doi.org/10.1016/j.icheatmasstransfer.2018.07.001openalex-snapshot

Investigation into the topology optimization for conductive heat transfer based on deep learning approach

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A level-set method for shape optimization

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Learning representations by back-propagating errors

inferredcites →https://doi.org/10.1080/0305215x.2021.1902998openalex-snapshot

A deep convolutional neural network for topology optimization with perceptible generalization ability

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Image quality assessment: from error visibility to structural similarity

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Efficient Semantic Image Synthesis via Class-Adaptive Normalization

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Doing Topology Optimization Explicitly and Geometrically—A New Moving Morphable Components Based Framework

inferredcites →https://doi.org/10.1115/1.4041319openalex-snapshot

Machine Learning-Driven Real-Time Topology Optimization Under Moving Morphable Component-Based Framework

inferredcites →https://doi.org/10.1364/ao.33.002147openalex-snapshot

Shift-invariant interpattern association neural network

inferredcites →https://doi.org/10.1515/rnam-2019-0018openalex-snapshot

Neural networks for topology optimization

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Bidirectional Evolutionary Method for Stiffness Optimization

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Improving neural networks by preventing co-adaptation of feature detectors

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Adam: A Method for Stochastic Optimization

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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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On the Use of Fidelity Transformation Method for Stress‐Constrained Reliability‐Based Topology Optimization of Continuum Structure With High Accuracy

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Neural network hyperreduction for parameterized computational models in nonlinear stochastic dynamics

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AI-enhanced and data-driven mechanical analysis and structural topology optimization

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Structural reliability prediction of an All-sky Electrostatic Analyzer for lunar mission under launch and transport-induced vibrations

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A review on deep learning applications for the simulation of medium- and large-scale structures

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Adaptive optimization design framework for vibration transfer suppression in aero-engine dual-rotor systems with shared bearing frame

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High-Generalization AI-Enhanced mechanical analysis and topology optimization via cubic bézier interpolation of substructure boundary displacements

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Multi-task spatio-temporal learning for impact damage behavior in CFRPs using CNN-Transformer fusion

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Enhancing topology optimization with adaptive deep learning

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Real-time generative design of diverse optimized structures with controllable structural complexities and high quality

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A two-stage network framework for topology optimization incorporating deep learning and physical information

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Structural topology optimization based on diffusion generative adversarial networks

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Structural topology optimization based on deep learning

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A mechanics-based data-free Problem Independent Machine Learning (PIML) model for large-scale structural analysis and design optimization

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Genetic sampling for surrogate-assisted topology optimization in electromagnetic riveting device design

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Integration of Topology Optimization and ANN-Based Shape Optimization for Weight Reduction of a Control Arm

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