Surrogate Model via Artificial Intelligence Method for Accelerating Screening Materials and Performance Prediction
Sign Up to like & getrecommendations! Published in 2020 at "Advanced Functional Materials"
DOI: 10.1002/adfm.202006245
Abstract: Predicting the performance of mechanical properties is an important and current issue in the field of engineering and materials science, but traditional experiments and modeling calculations often consume large amounts of time and resources. Therefore,… read more here.
Keywords: intelligence method; performance; model; artificial intelligence ... See more keywords
A conservative multi-fidelity surrogate model-based robust optimization method for simulation-based optimization
Sign Up to like & getrecommendations! Published in 2021 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-021-03007-w
Abstract: Multi-fidelity (MF) surrogate model-based robust optimization has been used to deal with engineering design and optimization problems that have uncertainty in their inputs. However, the MF surrogate model constructed by a limited number of samples… read more here.
Keywords: surrogate model; robust optimization; method; optimization ... See more keywords
Cost-Aware Adaptive Design of Experiment with Nonstationary Surrogate Model for Wind Tunnel Testing
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Aeronautical and Space Sciences"
DOI: 10.1007/s42405-020-00250-1
Abstract: This paper proposes a novel adaptive design of experiment (ADoE) framework with cost-aware sampling strategy and nonstationary surrogate model for efficient wind tunnel testing. The ADoE framework, which is based on the Gaussian process, can… read more here.
Keywords: experiment; nonstationary surrogate; surrogate model; cost aware ... See more keywords
A surrogate model based on sparse grid interpolation for boiling water reactor subchannel void distribution
Sign Up to like & getrecommendations! Published in 2019 at "Annals of Nuclear Energy"
DOI: 10.1016/j.anucene.2019.03.022
Abstract: Abstract Boiling water reactors are simulated using nodal diffusion core simulators which rely upon homogenized and condensed cross sections from a lattice physics code. In the lattice calculation, the void distribution is typically assumed to… read more here.
Keywords: surrogate model; physics; void distribution;
Damage quantification in truss structures by limited sensor-based surrogate model
Sign Up to like & getrecommendations! Published in 2021 at "Applied Acoustics"
DOI: 10.1016/j.apacoust.2020.107547
Abstract: Abstract In this study, we have explored the structural damage detection of truss structures using the state-of-the-art deep learning techniques. The surrogate models, deep neural networks, are used to train the knowledge of the patterns… read more here.
Keywords: structures limited; surrogate model; truss; damage ... See more keywords
Application of a PCA-DBN-based surrogate model to robust aerodynamic design optimization
Sign Up to like & getrecommendations! Published in 2020 at "Chinese Journal of Aeronautics"
DOI: 10.1016/j.cja.2020.01.015
Abstract: Abstract An efficient method employing a Principal Component Analysis (PCA)-Deep Belief Network (DBN)-based surrogate model is developed for robust aerodynamic design optimization in this study. In order to reduce the number of design variables for… read more here.
Keywords: surrogate model; pca dbn; model; based surrogate ... See more keywords
A two-stage surrogate model for Neo-Hookean problems based on adaptive proper orthogonal decomposition and hierarchical tensor approximation
Sign Up to like & getrecommendations! Published in 2020 at "Computer Methods in Applied Mechanics and Engineering"
DOI: 10.1016/j.cma.2020.113368
Abstract: Abstract The evaluation of robustness and reliability of realistic structures in the presence of uncertainty is numerically costly. This motivates model order reduction techniques like the proper orthogonal decomposition (POD), which gives an approximate model… read more here.
Keywords: orthogonal decomposition; model; stage; proper orthogonal ... See more keywords
Computation of a probabilistic and anisotropic failure metric on the aortic wall using a machine learning-based surrogate model
Sign Up to like & getrecommendations! Published in 2021 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2021.104794
Abstract: Scalar-valued failure metrics are commonly used to assess the risk of aortic aneurysm rupture and dissection, which occurs under hypertensive blood pressures brought on by extreme emotional or physical stress. To compute failure metrics under… read more here.
Keywords: machine learning; surrogate model; failure metric; learning based ... See more keywords
AI-based optimization of PEM fuel cell catalyst layers for maximum power density via data-driven surrogate modeling
Sign Up to like & getrecommendations! Published in 2020 at "Energy Conversion and Management"
DOI: 10.1016/j.enconman.2019.112460
Abstract: © 2020 Elsevier Ltd Catalyst layer (CL) is the core electrochemical reaction region of proton exchange membrane fuel cells (PEMFCs). Its composition directly determines PEMFC output performance. Existing experimental or modeling methods are still insufficient… read more here.
Keywords: surrogate model; data driven; maximum power; model ... See more keywords
Development of a surrogate model based on patient weight, bone mass and geometry to predict femoral neck strains and fracture loads.
Sign Up to like & getrecommendations! Published in 2017 at "Journal of biomechanics"
DOI: 10.1016/j.jbiomech.2017.02.022
Abstract: Osteoporosis and related bone fractures are an increasing global burden in our ageing society. Areal bone mineral density assessed through dual energy X-ray absorptiometry (DEXA), the clinically accepted and most used method, is not sufficient… read more here.
Keywords: femoral neck; surrogate model; bone; model ... See more keywords
Conservative strategy-based ensemble surrogate model for optimal groundwater remediation design at DNAPLs-contaminated sites.
Sign Up to like & getrecommendations! Published in 2017 at "Journal of contaminant hydrology"
DOI: 10.1016/j.jconhyd.2017.05.007
Abstract: The surrogate-based simulation-optimization techniques are frequently used for optimal groundwater remediation design. When this technique is used, surrogate errors caused by surrogate-modeling uncertainty may lead to generation of infeasible designs. In this paper, a conservative… read more here.
Keywords: surrogate model; conservative strategy; model; ensemble surrogate ... See more keywords