Surrogate‐based Bayesian calibration of biomechanical models with isotropic material behavior
Sign Up to like & getrecommendations! Published in 2022 at "International Journal for Numerical Methods in Biomedical Engineering"
DOI: 10.1002/cnm.3575
Abstract: This work introduces a computational methodology to calibrate material models in biomechanical applications under uncertainty. We adopt a Bayesian approach, which estimates the probability distributions of hyperelastic material parameters, based on force‐strain measurements. We approximate… read more here.
Keywords: bayesian calibration; surrogate based; methodology; based bayesian ... See more keywords
Surrogate-based aerodynamic shape optimization with the active subspace method
Sign Up to like & getrecommendations! Published in 2019 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-018-2073-5
Abstract: Surrogate-based optimization is criticized in high-dimensional cases because it cannot scale well with the input dimension. In order to overcome this issue, we adopt a snapshot active subspace method to reduce the input dimension. A… read more here.
Keywords: active subspace; surrogate based; optimization; subspace method ... See more keywords
A multi-fidelity RBF surrogate-based optimization framework for computationally expensive multi-modal problems with application to capacity planning of manufacturing systems
Sign Up to like & getrecommendations! Published in 2020 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-020-02575-7
Abstract: This paper presents a multi-fidelity RBF (radial basis function) surrogate-based optimization framework (MRSO) for computationally expensive multi-modal optimization problems when multi-fidelity (high-fidelity (HF) and low-fidelity (LF)) models are available. The HF model is expensive and… read more here.
Keywords: fidelity; based optimization; multi fidelity; optimization ... See more keywords
Numerical simulations and surrogate-based optimization of cavitation performance for an aviation fuel pump
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Mechanical Science and Technology"
DOI: 10.1007/s12206-017-0122-4
Abstract: We used computational modeling to investigate the cavitation performance of an aviation fuel pump, and optimize structural parameters using the surrogate-based method. In the numerical simulation, a rotation-curvature correction was adapted to the k-ε turbulence… read more here.
Keywords: pump; cavitation performance; surrogate based; fuel pump ... See more keywords
Surrogate based modeling and optimization of plasmonic thin film organic solar cells
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Heat and Mass Transfer"
DOI: 10.1016/j.ijheatmasstransfer.2017.11.044
Abstract: Abstract In this study, we demonstrate that surrogate models can be trained and used to accurately predict the optical properties of thin film solar cells and to optimize their structures. We consider organic an active… read more here.
Keywords: thin film; geometry; optimization; film ... See more keywords
Surrogate based model calibration for pressurized water reactor physics calculations
Sign Up to like & getrecommendations! Published in 2017 at "Nuclear Engineering and Technology"
DOI: 10.1016/j.net.2017.08.007
Abstract: Abstract In this work, a scalable algorithm for model calibration in nuclear engineering applications is presented and tested. The algorithm relies on the construction of surrogate models to replace the original model within the region… read more here.
Keywords: model calibration; surrogate based; physics; model ... See more keywords
Surrogate Based Genetic Algorithm Method for Efficient Identification of Low-Energy Peptide Structures
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Chemical Theory and Computation"
DOI: 10.1021/acs.jctc.2c01078
Abstract: Identification of the most stable structure(s) of a system is a prerequisite for the calculation of any of its properties from first-principles. However, even for relatively small molecules, exhaustive explorations of the potential energy surface… read more here.
Keywords: low energy; surrogate based; energy; identification ... See more keywords
A surrogate-based optimization method for mixed-variable aircraft design
Sign Up to like & getrecommendations! Published in 2021 at "Engineering Optimization"
DOI: 10.1080/0305215x.2020.1855156
Abstract: Aircraft optimization design problems are mostly computationally intensive. These complicated problems probably contain mixed-variables, while most research has focused on continuous variables. This article sets up a mixed-variable surrogate-based optimization algorithm framework that includes a… read more here.
Keywords: optimization; surrogate based; method; mixed variable ... See more keywords
Surrogate-Based Acoustic Noise Prediction of Electric Motors
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Magnetics"
DOI: 10.1109/tmag.2019.2945407
Abstract: Design and optimization problems typically require running thousands of motor simulations, which could take several hours if not days. Finding alternative means of reducing the solution time has recently gained research interest. Surrogate models can… read more here.
Keywords: surrogate based; surrogate models; acoustic noise; based acoustic ... See more keywords
Multifeature-Assisted Neuro-transfer Function Surrogate-Based EM Optimization Exploiting Trust-Region Algorithms for Microwave Filter Design
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Microwave Theory and Techniques"
DOI: 10.1109/tmtt.2019.2952101
Abstract: This article proposes a multifeature-assisted neuro-transfer function (neuro-TF) surrogate-based electromagnetic (EM) optimization technique exploiting trust-region algorithms for microwave filter design. The proposed optimization technique addresses the situation where the response of the starting point is… read more here.
Keywords: feature parameters; optimization; surrogate based; trust region ... See more keywords
Accelerated Adaptive Surrogate-Based Optimization Through Reduced-Order Modeling
Sign Up to like & getrecommendations! Published in 2017 at "AIAA Journal"
DOI: 10.2514/1.j055252
Abstract: The efficient global optimization approach was often used to reduce the computational cost in the optimization of complex engineering systems. This algorithm can, however, remain expensive for large-scale problems because each simulation uses the full… read more here.
Keywords: based optimization; surrogate based; optimization; optimization approach ... See more keywords