Table · dataset · 2026
Efficient random sampling method based on the control variates method and sensitivities of multiple mockup parameters
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<p>The CV-S method is one of efficient sampling-based uncertainty quantification methods.
Description
In order to enhance the efficiency of the CV-S method, we propose to use multiple mockup parameters instead of a single parameter. Before doing that, we address an issue that the efficiency of the CV-S method is case-dependent, and introduce a concept of dimensionless parameters.
By doing this, the case-dependent efficiency of the original CV-S method disappears. One fictitious mockup parameter which combines multiple mockup parameters is prepared. Proper weights in this combination are dynamically determined from the finite number of samples.
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Test calculations are carried out for k∞ of a BWR assembly model during burnup using k∞ of several pincell models composing the target assembly as mockup parameters. It is clearly demonstrated that the efficiency is enhanced by using multiple mockup parameters as much as possible.</p>
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Where it is published
- DOI doi.org/10.6084/m9.figshare.33952270.v1 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
Topics
Provenance · 1 source records, 18 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| figshare | oai:figshare.com:article/33952270 | 12 d ago | JSON v1 |
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|---|---|---|---|
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| description | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/description |
| license | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/rights |
| publication_date | source · figshare com | connector:figshare_com@1.0.0 | |
| title | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/title |