Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313252139> ?p ?o ?g. }
- W4313252139 endingPage "110040" @default.
- W4313252139 startingPage "110040" @default.
- W4313252139 abstract "Interval arithmetic offers a powerful tool for structural model updating when uncertain-but-bounded parameters are considered. However, the application of interval model updating for practical engineering structure is hindered due to model complexity and huge computational burden involved in the repeated evaluations of non-probabilistic constraints. In this light, an efficient inner-outer decoupling scheme is proposed for non-probabilistic model updating in this study. The mathematical operation of interval model updating is decomposed into two layers labelled as inner layer with the operation of uncertainty propagation and outer layer with the operation of interval optimization. In the inner uncertainty propagation, the High Dimensional Model Representation (HDMR) is utilized to enable the decomposition of the model outputs in terms of multivariate inputs into the sum of multiple single-variate functions, which is further approximated by Chebyshev polynomials so that the stationary points of each function can be derived. In the outer layer, a fast-running optimization strategy based on the stationary points of Chebyshev polynomial approximation is proposed to accelerate tracking the bounds of model parameters by avoiding time-consuming brute-force interval optimization. As a result, the original non-probabilistic updating process with two interacted layers can be completely decoupled into two independent operations of the inner uncertainty propagation and outer interval optimization so as to enhance the search efficiency and convergence rate significantly. Two numerical case studies illustrate capability of the proposed method in updating the structural parameters intervals efficiently with the model outputs intervals agreeing well with the testing outputs intervals. Two experimental cases of steel plates and the Canton Tower also demonstrate the efficiency and advantages of the method in interval model updating." @default.
- W4313252139 created "2023-01-06" @default.
- W4313252139 creator A5029744002 @default.
- W4313252139 creator A5071452569 @default.
- W4313252139 creator A5073918982 @default.
- W4313252139 creator A5083222672 @default.
- W4313252139 date "2023-04-01" @default.
- W4313252139 modified "2023-10-17" @default.
- W4313252139 title "Efficient inner-outer decoupling scheme for non-probabilistic model updating with high dimensional model representation and Chebyshev approximation" @default.
- W4313252139 cites W191413195 @default.
- W4313252139 cites W1965990808 @default.
- W4313252139 cites W1970585012 @default.
- W4313252139 cites W1978013917 @default.
- W4313252139 cites W1992346668 @default.
- W4313252139 cites W1996135655 @default.
- W4313252139 cites W2013066763 @default.
- W4313252139 cites W2019368871 @default.
- W4313252139 cites W2023640335 @default.
- W4313252139 cites W2024414262 @default.
- W4313252139 cites W2030837828 @default.
- W4313252139 cites W2035006468 @default.
- W4313252139 cites W2044990306 @default.
- W4313252139 cites W2065513364 @default.
- W4313252139 cites W2074709716 @default.
- W4313252139 cites W2099025530 @default.
- W4313252139 cites W2111959010 @default.
- W4313252139 cites W2138002307 @default.
- W4313252139 cites W2292817325 @default.
- W4313252139 cites W2507238682 @default.
- W4313252139 cites W2526424082 @default.
- W4313252139 cites W2801254109 @default.
- W4313252139 cites W2884881630 @default.
- W4313252139 cites W2892004320 @default.
- W4313252139 cites W2900296114 @default.
- W4313252139 cites W2913582727 @default.
- W4313252139 cites W2916523266 @default.
- W4313252139 cites W2970662657 @default.
- W4313252139 cites W2989182216 @default.
- W4313252139 cites W3015468678 @default.
- W4313252139 cites W3035278399 @default.
- W4313252139 cites W3044700739 @default.
- W4313252139 cites W3073209702 @default.
- W4313252139 cites W3111537813 @default.
- W4313252139 cites W3126453769 @default.
- W4313252139 cites W3128890349 @default.
- W4313252139 cites W3170994196 @default.
- W4313252139 cites W3174123561 @default.
- W4313252139 cites W3175291036 @default.
- W4313252139 cites W3176607300 @default.
- W4313252139 cites W3178792940 @default.
- W4313252139 cites W3181671901 @default.
- W4313252139 cites W3196464345 @default.
- W4313252139 cites W4200197854 @default.
- W4313252139 cites W4210928399 @default.
- W4313252139 cites W4225403255 @default.
- W4313252139 cites W4236290419 @default.
- W4313252139 cites W4281902459 @default.
- W4313252139 doi "https://doi.org/10.1016/j.ymssp.2022.110040" @default.
- W4313252139 hasPublicationYear "2023" @default.
- W4313252139 type Work @default.
- W4313252139 citedByCount "0" @default.
- W4313252139 crossrefType "journal-article" @default.
- W4313252139 hasAuthorship W4313252139A5029744002 @default.
- W4313252139 hasAuthorship W4313252139A5071452569 @default.
- W4313252139 hasAuthorship W4313252139A5073918982 @default.
- W4313252139 hasAuthorship W4313252139A5083222672 @default.
- W4313252139 hasConcept C105795698 @default.
- W4313252139 hasConcept C11413529 @default.
- W4313252139 hasConcept C114614502 @default.
- W4313252139 hasConcept C123614077 @default.
- W4313252139 hasConcept C126255220 @default.
- W4313252139 hasConcept C127413603 @default.
- W4313252139 hasConcept C129785596 @default.
- W4313252139 hasConcept C133731056 @default.
- W4313252139 hasConcept C134306372 @default.
- W4313252139 hasConcept C145242015 @default.
- W4313252139 hasConcept C191252586 @default.
- W4313252139 hasConcept C205606062 @default.
- W4313252139 hasConcept C21424316 @default.
- W4313252139 hasConcept C2778067643 @default.
- W4313252139 hasConcept C28826006 @default.
- W4313252139 hasConcept C33923547 @default.
- W4313252139 hasConcept C34388435 @default.
- W4313252139 hasConcept C49937458 @default.
- W4313252139 hasConceptScore W4313252139C105795698 @default.
- W4313252139 hasConceptScore W4313252139C11413529 @default.
- W4313252139 hasConceptScore W4313252139C114614502 @default.
- W4313252139 hasConceptScore W4313252139C123614077 @default.
- W4313252139 hasConceptScore W4313252139C126255220 @default.
- W4313252139 hasConceptScore W4313252139C127413603 @default.
- W4313252139 hasConceptScore W4313252139C129785596 @default.
- W4313252139 hasConceptScore W4313252139C133731056 @default.
- W4313252139 hasConceptScore W4313252139C134306372 @default.
- W4313252139 hasConceptScore W4313252139C145242015 @default.
- W4313252139 hasConceptScore W4313252139C191252586 @default.
- W4313252139 hasConceptScore W4313252139C205606062 @default.
- W4313252139 hasConceptScore W4313252139C21424316 @default.
- W4313252139 hasConceptScore W4313252139C2778067643 @default.