Imperial College London
Alternate

DrSergeiKucherenko

Faculty of Engineering, Department of Chemical Engineering

Research Fellow
 
 
 
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Contact

 

+44 (0)20 7594 6624s.kucherenko Website

 
 
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Location

 

Centre for Process Systems(C505)Roderic Hill BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Spiessl:2019:10.1016/j.ress.2018.12.004,
author = {Spiessl, SM and Kucherenko, S and Becker, D-A and Zaccheus, O},
doi = {10.1016/j.ress.2018.12.004},
journal = {Reliability Engineering and System Safety},
pages = {149--158},
title = {Higher-order sensitivity analysis of a final repository model with discontinuous behaviour using the RS-HDMR meta-modeling approach},
url = {http://dx.doi.org/10.1016/j.ress.2018.12.004},
volume = {187},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Sensitivity analysis is considered a useful tool for determining sensitivities and assessing uncertainties of computational models, which is critical for the performance assessment of final repository models. One group of methods of sensitivity analysis is variance-based methods, which can identify sensitivities of individual parameters and parameter interactions. This is done via computation of Sobol’ sensitivity indices of first and higher orders.Models describing complex physical systems can behave in a highly nonlinear, non-monotonic or even discontinuous manner. Many methods of sensitivity analysis perform poorly or even fail completely on such models. In former investigations with a model of this kind, we could not identify any method capable of calculating reliably second- or higher-order sensitivity indices.This paper demonstrates that the Random-Sampling High Dimensional Model Representation (RS-HDMR) meta-modelling approach is able to compute efficiently sensitivity indices of the first, second and total orders for a complex, highly nonlinear model describing the long-term behaviour of a final repository for low- and intermediate-level radioactive waste, and that the results are consistent and plausible. The efficiency of the RS-HDMR approach in computing sensitivity indices of the first order is compared to that of two other methods: EASI and the State-Dependent-Parameter (SDP) meta-modelling approach.
AU  - Spiessl,SM
AU  - Kucherenko,S
AU  - Becker,D-A
AU  - Zaccheus,O
DO  - 10.1016/j.ress.2018.12.004
EP  - 158
PY  - 2019///
SN  - 0951-8320
SP  - 149
TI  - Higher-order sensitivity analysis of a final repository model with discontinuous behaviour using the RS-HDMR meta-modeling approach
T2  - Reliability Engineering and System Safety
UR  - http://dx.doi.org/10.1016/j.ress.2018.12.004
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000468718700013&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://www.sciencedirect.com/science/article/pii/S0951832018301947?via%3Dihub
VL  - 187
ER  -
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