FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2896598030> ?p ?o ?g. }

• W2896598030 endingPage "311" @default.
• W2896598030 startingPage "293" @default.
• W2896598030 abstract "Abstract The quantification of the uncertainty effect of random system parameters, such as the loading conditions, material and geometric properties, on the system output response has gained significant attention in recent years. One of the well-known methods is the first-order second-moment (FOSM) method, which can be used to determine the mean value and variance of the system output. However, this method needs to derive the formulas for calculating the local sensitivity and it can only be used for systems with low-level uncertainties. Polynomial Chaos (PC) expansion is a new non-sampling-based method to evaluate the uncertainty evolution and quantification of a dynamical system. In this paper, PC expansion is used to represent the stochastic system output responses of civil bridge structures, which could be the natural frequencies, linear and nonlinear dynamic responses. The PC coefficients are obtained from the non-intrusive regression based method, and the statistical characteristic can be evaluated from these coefficients. The results from the proposed approach are compared with those calculated with commonly used methods, such as Monte Carlo Simulation (MCS) and FOSM. The accuracy and efficiency of the presented PC based method for uncertainty quantification and global sensitivity analysis are investigated. Global sensitivity analysis is performed to quantify the effect of uncertainty in each random system parameter on the variance of the stochastic system output response, which can be obtained directly from the PC coefficients. The results demonstrate that PC expansion can be a powerful and efficient tool for uncertainty quantification and sensitivity analysis in linear and nonlinear structure analysis." @default.
• W2896598030 created "2018-10-26" @default.
• W2896598030 creator A5014729492 @default.
• W2896598030 creator A5057900744 @default.
• W2896598030 creator A5059155106 @default.
• W2896598030 creator A5060963672 @default.
• W2896598030 date "2019-03-01" @default.
• W2896598030 modified "2023-10-05" @default.
• W2896598030 title "Using polynomial chaos expansion for uncertainty and sensitivity analysis of bridge structures" @default.
• W2896598030 cites W1963770665 @default.
• W2896598030 cites W1967213492 @default.
• W2896598030 cites W1973090811 @default.
• W2896598030 cites W1986232056 @default.
• W2896598030 cites W1994761836 @default.
• W2896598030 cites W2012703615 @default.
• W2896598030 cites W2033845556 @default.
• W2896598030 cites W2037050471 @default.
• W2896598030 cites W2037691930 @default.
• W2896598030 cites W2042634700 @default.
• W2896598030 cites W2049774453 @default.
• W2896598030 cites W2069576807 @default.
• W2896598030 cites W2076018173 @default.
• W2896598030 cites W2083166992 @default.
• W2896598030 cites W2086350921 @default.
• W2896598030 cites W2089107606 @default.
• W2896598030 cites W2094589523 @default.
• W2896598030 cites W2101589741 @default.
• W2896598030 cites W2108001913 @default.
• W2896598030 cites W2116070526 @default.
• W2896598030 cites W2136602340 @default.
• W2896598030 cites W2214671852 @default.
• W2896598030 cites W2217283974 @default.
• W2896598030 cites W2288536705 @default.
• W2896598030 cites W2298626493 @default.
• W2896598030 cites W2321957512 @default.
• W2896598030 cites W2416845274 @default.
• W2896598030 cites W2569486321 @default.
• W2896598030 cites W2593068933 @default.
• W2896598030 cites W2605490240 @default.
• W2896598030 cites W2606032898 @default.
• W2896598030 cites W2616626757 @default.
• W2896598030 cites W2714797100 @default.
• W2896598030 cites W2779575331 @default.
• W2896598030 doi "https://doi.org/10.1016/j.ymssp.2018.09.029" @default.
• W2896598030 hasPublicationYear "2019" @default.
• W2896598030 type Work @default.
• W2896598030 sameAs 2896598030 @default.
• W2896598030 citedByCount "47" @default.
• W2896598030 countsByYear W28965980302019 @default.
• W2896598030 countsByYear W28965980302020 @default.
• W2896598030 countsByYear W28965980302021 @default.
• W2896598030 countsByYear W28965980302022 @default.
• W2896598030 countsByYear W28965980302023 @default.
• W2896598030 crossrefType "journal-article" @default.
• W2896598030 hasAuthorship W2896598030A5014729492 @default.
• W2896598030 hasAuthorship W2896598030A5057900744 @default.
• W2896598030 hasAuthorship W2896598030A5059155106 @default.
• W2896598030 hasAuthorship W2896598030A5060963672 @default.
• W2896598030 hasConcept C100776233 @default.
• W2896598030 hasConcept C105795698 @default.
• W2896598030 hasConcept C126322002 @default.
• W2896598030 hasConcept C127413603 @default.
• W2896598030 hasConcept C134306372 @default.
• W2896598030 hasConcept C154945302 @default.
• W2896598030 hasConcept C19499675 @default.
• W2896598030 hasConcept C197656079 @default.
• W2896598030 hasConcept C21200559 @default.
• W2896598030 hasConcept C24326235 @default.
• W2896598030 hasConcept C2775924081 @default.
• W2896598030 hasConcept C2779374083 @default.
• W2896598030 hasConcept C28826006 @default.
• W2896598030 hasConcept C33923547 @default.
• W2896598030 hasConcept C38652104 @default.
• W2896598030 hasConcept C41008148 @default.
• W2896598030 hasConcept C47446073 @default.
• W2896598030 hasConcept C66938386 @default.
• W2896598030 hasConcept C71924100 @default.
• W2896598030 hasConcept C90119067 @default.
• W2896598030 hasConceptScore W2896598030C100776233 @default.
• W2896598030 hasConceptScore W2896598030C105795698 @default.
• W2896598030 hasConceptScore W2896598030C126322002 @default.
• W2896598030 hasConceptScore W2896598030C127413603 @default.
• W2896598030 hasConceptScore W2896598030C134306372 @default.
• W2896598030 hasConceptScore W2896598030C154945302 @default.
• W2896598030 hasConceptScore W2896598030C19499675 @default.
• W2896598030 hasConceptScore W2896598030C197656079 @default.
• W2896598030 hasConceptScore W2896598030C21200559 @default.
• W2896598030 hasConceptScore W2896598030C24326235 @default.
• W2896598030 hasConceptScore W2896598030C2775924081 @default.
• W2896598030 hasConceptScore W2896598030C2779374083 @default.
• W2896598030 hasConceptScore W2896598030C28826006 @default.
• W2896598030 hasConceptScore W2896598030C33923547 @default.
• W2896598030 hasConceptScore W2896598030C38652104 @default.
• W2896598030 hasConceptScore W2896598030C41008148 @default.
• W2896598030 hasConceptScore W2896598030C47446073 @default.
• W2896598030 hasConceptScore W2896598030C66938386 @default.
• W2896598030 hasConceptScore W2896598030C71924100 @default.
• W2896598030 hasConceptScore W2896598030C90119067 @default.

• next