Reliability-Based Design Optimization Incorporating Extended Optimal Uncertainty Quantification
Fuente:
arXiv
Saved in:
| Main Authors: | Miska, Niklas, Balzani, Daniel |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
An Efficient Bayesian Framework for Inverse Problems via Optimization and Inversion: Surrogate Modeling, Parameter Inference, and Uncertainty Quantification
by: Chiappetta, Mihaela, et al.
Published: (2026)
by: Chiappetta, Mihaela, et al.
Published: (2026)
Reliable Uncertainty Quantification for Fiber Orientation in Composite Molding Processes using Multilevel Polynomial Surrogates
by: Salatovic, Stjepan, et al.
Published: (2024)
by: Salatovic, Stjepan, et al.
Published: (2024)
Optimization of Functional Materials Design with Optimal Initial Data in Surrogate-Based Active Learning
by: Kim, Seongmin, et al.
Published: (2025)
by: Kim, Seongmin, et al.
Published: (2025)
Conditional Uncertainty Quantification of Stochastic Dynamical Structures Considering Measurement Conditions
by: Wu, Feng, et al.
Published: (2024)
by: Wu, Feng, et al.
Published: (2024)
Uncertainty Quantification in Calibration and Simulation of Thermo-Chemical Curing of Epoxy Resins
by: Tröger, Jendrik-Alexander, et al.
Published: (2026)
by: Tröger, Jendrik-Alexander, et al.
Published: (2026)
Focal Mechanism Uncertainty Quantification In Ground Motion Simulations Of Le Teil Earthquake
by: Soto, Valeria, et al.
Published: (2025)
by: Soto, Valeria, et al.
Published: (2025)
Exact Conditional Score-Guided Generative Modeling for Amortized Inference in Uncertainty Quantification
by: Zhang, Zezhong, et al.
Published: (2025)
by: Zhang, Zezhong, et al.
Published: (2025)
Chance-Constrained Optimal Design of Porous Thermal Insulation Systems Under Spatially Correlated Uncertainty
by: Singh, Pratyush Kumar, et al.
Published: (2025)
by: Singh, Pratyush Kumar, et al.
Published: (2025)
Hierarchical Rank-One Sequence Convexification for the Relaxation of Variational Problems with Microstructures
by: Köhler, Maximilian, et al.
Published: (2024)
by: Köhler, Maximilian, et al.
Published: (2024)
A Physics-Aware Variational Graph Autoencoder for Joint Modal Identification with Uncertainty Quantification
by: Nath, Bhargav, et al.
Published: (2026)
by: Nath, Bhargav, et al.
Published: (2026)
Multi-Level Monte Carlo sampling with Parallel-in-Time Integration for Uncertainty Quantification in Electric Machine Simulation
by: Hahn, Robert, et al.
Published: (2025)
by: Hahn, Robert, et al.
Published: (2025)
Intrusive and Non-Intrusive Model Order Reduction for Airborne Contaminant Transport: Comparative Analysis and Uncertainty Quantification
by: Kühn, Lisa, et al.
Published: (2026)
by: Kühn, Lisa, et al.
Published: (2026)
Embedded Model Form Uncertainty Quantification with Measurement Noise for Bayesian Model Calibration
by: Arcones, Daniel Andrés, et al.
Published: (2024)
by: Arcones, Daniel Andrés, et al.
Published: (2024)
Population-Based Search Method Using Uncertainty-related Pareto Front for Robust Multi-objective Optimization
by: Xu, Lihong, et al.
Published: (2025)
by: Xu, Lihong, et al.
Published: (2025)
Robust Crop Planning under Uncertainty: Aligning Economic Optimality with Agronomic Sustainability
by: Liu, Runhao, et al.
Published: (2025)
by: Liu, Runhao, et al.
Published: (2025)
Multi-Fidelity Bayesian Neural Network for Uncertainty Quantification in Transonic Aerodynamic Loads
by: Vaiuso, Andrea, et al.
Published: (2024)
by: Vaiuso, Andrea, et al.
Published: (2024)
GUIDe: Generative and Uncertainty-Informed Inverse Design for On-Demand Nonlinear Functional Responses
by: Mu, Haoxuan Dylan, et al.
Published: (2025)
by: Mu, Haoxuan Dylan, et al.
Published: (2025)
Probabilistic Method for Optimizing Submarine Search and Rescue Strategy Under Environmental Uncertainty
by: Liu, Runhao, et al.
Published: (2025)
by: Liu, Runhao, et al.
Published: (2025)
Multivariate Sensitivity Analysis of Electric Machine Efficiency Maps and Profiles Under Design Uncertainty
by: Partovizadeh, Aylar, et al.
Published: (2025)
by: Partovizadeh, Aylar, et al.
Published: (2025)
Dynamic Asset Pricing: Integrating FinBERT-Based Sentiment Quantification with the Fama--French Five-Factor Model
by: Zhang, Chi
Published: (2025)
by: Zhang, Chi
Published: (2025)
Accurate and Reliable Uncertainty Estimates for Deterministic Predictions Extensions to Under and Overpredictions
by: Bandy, Rileigh, et al.
Published: (2026)
by: Bandy, Rileigh, et al.
Published: (2026)
Intelligent Optimization of Mine Environmental Damage Assessment and Repair Strategies Based on Deep Learning
by: Cheng, Qishuo
Published: (2024)
by: Cheng, Qishuo
Published: (2024)
Maximum-Projection-Based Bayesian Optimization Utilizing Sensitivity Analysis for High-Efficiency Radial Turbine Design with Scarce Data
by: Diehl, Eric, et al.
Published: (2026)
by: Diehl, Eric, et al.
Published: (2026)
Uncertainty-Aware Calculation of Analytical Gradients of Matrix-Interpolatory Reduced-Order Models for Efficient Structural Optimization
by: Warzecha, Marcel, et al.
Published: (2026)
by: Warzecha, Marcel, et al.
Published: (2026)
Iterative Classification of Graph-Set-Based Designs (IC-GSBD) for the Down-Selection of Aircraft Thermal Management Systems
by: Sirico Jr., Anthony, et al.
Published: (2023)
by: Sirico Jr., Anthony, et al.
Published: (2023)
Towards Generative Design Using Optimal Transport for Shape Exploration and Solution Field Interpolation
by: Torregrosa, Sergio, et al.
Published: (2025)
by: Torregrosa, Sergio, et al.
Published: (2025)
Stress-constrained Topology Optimization for Metamaterial Microstructure Design
by: Chen, Yanda, et al.
Published: (2026)
by: Chen, Yanda, et al.
Published: (2026)
Unfitted Multi-Level hp Refinement for Localized and Moving Solution Features
by: Schmäke, Jan Niklas, et al.
Published: (2026)
by: Schmäke, Jan Niklas, et al.
Published: (2026)
Data-Driven Topology Optimization for Multiscale Biomimetic Spinodal Design
by: Deng, Shiguang, et al.
Published: (2025)
by: Deng, Shiguang, et al.
Published: (2025)
A Formulation of Structural Design Optimization Problems for Quantum Annealing
by: Key, Fabian, et al.
Published: (2023)
by: Key, Fabian, et al.
Published: (2023)
Robust Optimal Experimental Design Accounting for Sensor Failure
by: White, Rebekah, et al.
Published: (2026)
by: White, Rebekah, et al.
Published: (2026)
Warp Quantification Analysis: A Framework For Path-based Signal Alignment Metrics
by: Wiafe, Sir-Lord, et al.
Published: (2025)
by: Wiafe, Sir-Lord, et al.
Published: (2025)
Design and Optimization of Functionally-graded Triangular Lattices for Multiple Loading Conditions
by: Wang, Junpeng, et al.
Published: (2024)
by: Wang, Junpeng, et al.
Published: (2024)
Uncertainty-Driven Hierarchical Sampling for Unbalanced Continual Malware Detection with Time-Series Update-Based Retrieval
by: Xie, Yi, et al.
Published: (2025)
by: Xie, Yi, et al.
Published: (2025)
RAG: A Random-Forest-Based Generative Design Framework for Uncertainty-Aware Design of Metamaterials with Complex Functional Response Requirements
by: Chen, Bolin, et al.
Published: (2026)
by: Chen, Bolin, et al.
Published: (2026)
A Multi-Period Topology and Design Optimization Approach for District Heating Networks
by: Wack, Yannick, et al.
Published: (2024)
by: Wack, Yannick, et al.
Published: (2024)
OptiWing3D: A Diverse Dataset of Optimized Wing Designs
by: Diniz, Cashen, et al.
Published: (2025)
by: Diniz, Cashen, et al.
Published: (2025)
Incorporating lane-change prediction into energy-efficient speed control of connected autonomous vehicles at intersections
by: Zamanpour, Maziar, et al.
Published: (2024)
by: Zamanpour, Maziar, et al.
Published: (2024)
Deep Inverse Rosenblatt Transport for Structural Reliability Analysis
by: Tyagi, Aryan, et al.
Published: (2025)
by: Tyagi, Aryan, et al.
Published: (2025)
Stochastic Deep Learning Surrogate Models for Uncertainty Propagation in Microstructure-Properties of Ceramic Aerogels
by: Islam, Md Azharul, et al.
Published: (2025)
by: Islam, Md Azharul, et al.
Published: (2025)
Similar Items
-
An Efficient Bayesian Framework for Inverse Problems via Optimization and Inversion: Surrogate Modeling, Parameter Inference, and Uncertainty Quantification
by: Chiappetta, Mihaela, et al.
Published: (2026) -
Reliable Uncertainty Quantification for Fiber Orientation in Composite Molding Processes using Multilevel Polynomial Surrogates
by: Salatovic, Stjepan, et al.
Published: (2024) -
Optimization of Functional Materials Design with Optimal Initial Data in Surrogate-Based Active Learning
by: Kim, Seongmin, et al.
Published: (2025) -
Conditional Uncertainty Quantification of Stochastic Dynamical Structures Considering Measurement Conditions
by: Wu, Feng, et al.
Published: (2024) -
Uncertainty Quantification in Calibration and Simulation of Thermo-Chemical Curing of Epoxy Resins
by: Tröger, Jendrik-Alexander, et al.
Published: (2026)