Global sensitivity analysis based on Gaussian‐process metamodelling for complex biomechanical problems
Sign Up to like & getrecommendations! Published in 2022 at "International Journal for Numerical Methods in Biomedical Engineering"
DOI: 10.1002/cnm.3675
Abstract: Biomechanical models often need to describe very complex systems, organs or diseases, and hence also include a large number of parameters. One of the attractive features of physics‐based models is that in those models (most)… read more here.
Keywords: sensitivity analysis; global sensitivity; analysis; model ... See more keywords
Global Sensitivity Analysis and Dynamic Optimization of Multi-motor Driving Transmission System
Sign Up to like & getrecommendations! Published in 2018 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-018-1909-3
Abstract: The multi-motor driving transmission system (MMDTS) is a nonlinear, complex large-scale mechanical system that includes the drive subsystem (DS) and the gear transmission subsystem (GTS); the GTS is one of the most important units that… read more here.
Keywords: dynamic optimization; global sensitivity; system; transmission ... See more keywords
Sparse polynomial chaos expansions for global sensitivity analysis with partial least squares and distance correlation
Sign Up to like & getrecommendations! Published in 2019 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-018-2062-8
Abstract: Polynomial chaos expansion (PCE) has been proven to be a powerful tool for developing surrogate models in the field of uncertainty and global sensitivity analysis. The computational cost of classical PCE is unaffordable since the… read more here.
Keywords: global sensitivity; pce; correlation; sensitivity analysis ... See more keywords
Distance correlation-based method for global sensitivity analysis of models with dependent inputs
Sign Up to like & getrecommendations! Published in 2019 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-019-02257-z
Abstract: Global sensitivity analysis (GSA) plays an important role to quantify the relative importance of uncertain parameters to the model response. However, performing quantitative GSA directly is still a challenging problem for complex models with dependent… read more here.
Keywords: distance correlation; models dependent; dependent inputs; global sensitivity ... See more keywords
Global sensitivity analysis of failure probability of structures with uncertainties of random variable and their distribution parameters
Sign Up to like & getrecommendations! Published in 2021 at "Engineering with Computers"
DOI: 10.1007/s00366-021-01484-7
Abstract: The failure probability-based global sensitivity is proposed to evaluate the influence of input variables on the failure probability. But for the problem that the distribution parameters of variables are uncertain due to the lack of… read more here.
Keywords: failure probability; global sensitivity; uncertainty;
Global sensitivity analysis of the hydraulic parameters of the reservoir colluvial landslides in the Three Gorges Reservoir area, China
Sign Up to like & getrecommendations! Published in 2019 at "Landslides"
DOI: 10.1007/s10346-019-01290-9
Abstract: Hydraulic parameters are key data for calculating groundwater level, which is critical for assessing reservoir landslide stability. However, the quantitative understanding the influence of hydraulic parameters on the groundwater level of a reservoir landslide remains… read more here.
Keywords: global sensitivity; reservoir colluvial; sensitivity; hydraulic parameters ... See more keywords
Global sensitivity analysis based on high-dimensional sparse surrogate construction
Sign Up to like & getrecommendations! Published in 2017 at "Applied Mathematics and Mechanics"
DOI: 10.1007/s10483-017-2208-8
Abstract: Surrogate models are usually used to perform global sensitivity analysis (GSA) by avoiding a large ensemble of deterministic simulations of the Monte Carlo method to provide a reliable estimate of GSA indices. However, most surrogate… read more here.
Keywords: high dimensional; sparse surrogate; global sensitivity; sensitivity analysis ... See more keywords
Global sensitivity analysis of electromechanical coupling behaviors for flexoelectric nanostructures
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Mechanics and Materials in Design"
DOI: 10.1007/s10999-021-09566-6
Abstract: Recent research shows that flexoelectricity may prominently affect the electromechanical coupling responses of elastic dielectrics at the nanoscale. From the perspective of devices design, it is urgent to know how the input parameters affect the… read more here.
Keywords: global sensitivity; flexoelectric nanostructures; electromechanical coupling; sensitivity ... See more keywords
Global sensitivity analysis for the design of nonlinear identification experiments
Sign Up to like & getrecommendations! Published in 2019 at "Nonlinear Dynamics"
DOI: 10.1007/s11071-019-05199-9
Abstract: Bayesian inference techniques have been used extensively in recent years for parameter estimation in nonlinear systems. Despite the many advances made in the field, highly nonlinear systems can still be challenging to identify. Of key… read more here.
Keywords: global sensitivity; sensitivity analysis; sensitivity; identification experiments ... See more keywords
Global sensitivity analysis of the main steam line break accident by using sampling methods and surrogate models
Sign Up to like & getrecommendations! Published in 2021 at "Annals of Nuclear Energy"
DOI: 10.1016/j.anucene.2020.107787
Abstract: Abstract Global sensitivity analysis (GSA) aims at quantifying the individual effects of input variables on the model outputs. The global sensitivity analysis is expressed by the Sobol’ indices. The Sobol’ indices can be obtained by… read more here.
Keywords: sampling methods; global sensitivity; sensitivity analysis; methods surrogate ... See more keywords
Improvement of the uncertainty method with model treatment and optimized global sensitivity analysis and its application to pressurized water reactor
Sign Up to like & getrecommendations! Published in 2020 at "Annals of Nuclear Energy"
DOI: 10.1016/j.anucene.2020.107794
Abstract: Abstract Best estimate plus uncertainty methodology is an advanced technology for licensing application of the nuclear power plants, but some aspects can still be improved in the conventional input-driven methodologies. For instance, uncertainties of the… read more here.
Keywords: global sensitivity; uncertainty; method; sensitivity ... See more keywords