A scalable framework for multi-objective PDE-constrained design of building insulation under uncertainty
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Publication:6185171
DOI10.1016/j.cma.2023.116628OpenAlexW4388652921MaRDI QIDQ6185171
Publication date: 29 January 2024
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cma.2023.116628
optimal designthermal insulationuncertainty quantificationPDE-constrained optimizationhigh-dimensional parameters
Cites Work
- Unnamed Item
- An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
- A Bayesian framework for adaptive selection, calibration, and validation of coarse-grained models of atomistic systems
- Phase-field based topology optimization with polygonal elements: a finite volume approach for the evolution equation
- Optimal control with stochastic PDE constraints and uncertain controls
- Whittle-Matérn priors for Bayesian statistical inversion with applications in electrical impedance tomography
- On Bayesian A- and D-optimal experimental designs in infinite dimensions
- Robust design of structures using optimization methods
- Robust design of nonlinear structures using optimization methods
- The use of Morozov's discrepancy principle for Tikhonov regularization for solving nonlinear ill-posed problems
- Properties of chance constraints in infinite dimensions with an application to PDE constrained optimization
- Mitigating the influence of the boundary on PDE-based covariance operators
- A non-linear material interpolation for design of metallic nano-particles using topology optimization
- A coupled mass transport and deformation theory of multi-constituent tumor growth
- Mosaic flows: a transferable deep learning framework for solving PDEs on unseen domains
- Stress-constrained topology optimization of lattice-like structures using component-wise reduced order models
- A feature-driven robust topology optimization strategy considering movable non-design domain and complex uncertainty
- Optimal design of acoustic metamaterial cloaks under uncertainty
- Stress-based topology optimization under uncertainty via simulation-based Gaussian process
- Taylor approximation and variance reduction for PDE-constrained optimal control under uncertainty
- Shape and topology optimization based on the phase field method and sensitivity analysis
- Topology optimization under uncertainty via non-intrusive polynomial chaos expansion
- Multi-material thermomechanical topology optimization with applications to additive manufacturing: design of main composite part and its support structure
- A framework for data-driven analysis of materials under uncertainty: countering the curse of dimensionality
- Design across length scales: a reduced-order model of polycrystal plasticity for the control of microstructure-sensitive material properties
- Learning high-dimensional parametric maps via reduced basis adaptive residual networks
- Stress-based topology optimization of thermoelastic structures considering self-support constraints
- Boundary control and shape optimization for the robust design of bypass anastomoses under uncertainty
- Analysis of the Hessian for inverse scattering problems: I. Inverse shape scattering of acoustic waves
- Topology optimization with geometric uncertainties by perturbation techniques
- A-Optimal Design of Experiments for Infinite-Dimensional Bayesian Linear Inverse Problems with Regularized $\ell_0$-Sparsification
- Improving multiresolution topology optimization via multiple discretizations
- Multifidelity approaches for optimization under uncertainty
- Randomized algorithms for estimating the trace of an implicit symmetric positive semi-definite matrix
- Fast Algorithms for Bayesian Uncertainty Quantification in Large-Scale Linear Inverse Problems Based on Low-Rank Partial Hessian Approximations
- Hessian-based model reduction for large-scale systems with initial-condition inputs
- Numerical Optimization
- A simple method using Morozov's discrepancy principle for solving inverse scattering problems
- Morozov's discrepancy principle for tikhonov
- Mean-Variance Risk-Averse Optimal Control of Systems Governed by PDEs with Random Parameter Fields Using Quadratic Approximations
- Stochastic Collocation for Optimal Control Problems with Stochastic PDE Constraints
- A Globally Convergent Modified Newton Method for the Direct Minimization of the Ohta--Kawasaki Energy with Application to the Directed Self-Assembly of Diblock Copolymers
- hIPPYlib
- Taylor Approximation for Chance Constrained Optimization Problems Governed by Partial Differential Equations with High-Dimensional Random Parameters
- Phase‐Field Relaxation of Topology Optimization with Local Stress Constraints
- Decision-Based Design
- Randomized algorithms for generalized Hermitian eigenvalue problems with application to computing Karhunen–Loève expansion
- Risk-Averse PDE-Constrained Optimization Using the Conditional Value-At-Risk
- Phase field topology optimisation for 4D printing
- Performance Bounds for PDE-Constrained Optimization under Uncertainty
- Optimal design of chemoepitaxial guideposts for the directed self-assembly of block copolymer systems using an inexact Newton algorithm
- Large-scale Bayesian optimal experimental design with derivative-informed projected neural network
- An efficient and non-intrusive approach for robust design optimization with the first-order second-moment method
