Sensitivity-based adaptive sequential sampling for metamodel uncertainty reduction in multilevel systems

Volume: 62, Issue: 3, Pages: 1473 - 1496
Published: Jul 24, 2020
Abstract
Decomposition-based technique is often used in the analysis and design of complex engineering systems for reducing the computational complexity by studying the subsystems decomposed from multilevel systems. Metamodels, as a replacement of original simulation models, can further alleviate the computational burden. However, discrepancy between the simulation models and metamodels, which is defined as metamodel uncertainty, may be introduced in the...
Paper Details
Title
Sensitivity-based adaptive sequential sampling for metamodel uncertainty reduction in multilevel systems
Published Date
Jul 24, 2020
Volume
62
Issue
3
Pages
1473 - 1496
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.