FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2066506571> ?p ?o ?g. }

• W2066506571 endingPage "210" @default.
• W2066506571 startingPage "200" @default.
• W2066506571 abstract "Computational models for vascular growth and remodeling (G&R) are used to predict the long-term response of vessels to changes in pressure, flow, and other mechanical loading conditions. Accurate predictions of these responses are essential for understanding numerous disease processes. Such models require reliable inputs of numerous parameters, including material properties and growth rates, which are often experimentally derived, and inherently uncertain. While earlier methods have used a brute force approach, systematic uncertainty quantification in G&R models promises to provide much better information. In this work, we introduce an efficient framework for uncertainty quantification and optimal parameter selection, and illustrate it via several examples. First, an adaptive sparse grid stochastic collocation scheme is implemented in an established G&R solver to quantify parameter sensitivities, and near-linear scaling with the number of parameters is demonstrated. This non-intrusive and parallelizable algorithm is compared with standard sampling algorithms such as Monte-Carlo. Second, we determine optimal arterial wall material properties by applying robust optimization. We couple the G&R simulator with an adaptive sparse grid collocation approach and a derivative-free optimization algorithm. We show that an artery can achieve optimal homeostatic conditions over a range of alterations in pressure and flow; robustness of the solution is enforced by including uncertainty in loading conditions in the objective function. We then show that homeostatic intramural and wall shear stress is maintained for a wide range of material properties, though the time it takes to achieve this state varies. We also show that the intramural stress is robust and lies within 5% of its mean value for realistic variability of the material parameters. We observe that prestretch of elastin and collagen are most critical to maintaining homeostasis, while values of the material properties are most critical in determining response time. Finally, we outline several challenges to the G&R community for future work. We suggest that these tools provide the first systematic and efficient framework to quantify uncertainties and optimally identify G&R model parameters." @default.
• W2066506571 created "2016-06-24" @default.
• W2066506571 creator A5014180482 @default.
• W2066506571 creator A5081078400 @default.
• W2066506571 creator A5087790536 @default.
• W2066506571 date "2013-04-01" @default.
• W2066506571 modified "2023-10-13" @default.
• W2066506571 title "An efficient framework for optimization and parameter sensitivity analysis in arterial growth and remodeling computations" @default.
• W2066506571 cites W1505457157 @default.
• W2066506571 cites W1646309082 @default.
• W2066506571 cites W1965965942 @default.
• W2066506571 cites W1967168536 @default.
• W2066506571 cites W1974805574 @default.
• W2066506571 cites W1981737207 @default.
• W2066506571 cites W1984753492 @default.
• W2066506571 cites W1985412770 @default.
• W2066506571 cites W1988326784 @default.
• W2066506571 cites W1990112656 @default.
• W2066506571 cites W1991323175 @default.
• W2066506571 cites W1998855065 @default.
• W2066506571 cites W2009682595 @default.
• W2066506571 cites W2024948279 @default.
• W2066506571 cites W2035152837 @default.
• W2066506571 cites W2036255495 @default.
• W2066506571 cites W2038627108 @default.
• W2066506571 cites W2043096963 @default.
• W2066506571 cites W2049208430 @default.
• W2066506571 cites W2049554061 @default.
• W2066506571 cites W2051203581 @default.
• W2066506571 cites W2062013147 @default.
• W2066506571 cites W2062254762 @default.
• W2066506571 cites W2108001913 @default.
• W2066506571 cites W2113517083 @default.
• W2066506571 cites W2126564243 @default.
• W2066506571 cites W2134797319 @default.
• W2066506571 cites W2135789936 @default.
• W2066506571 cites W2168170318 @default.
• W2066506571 cites W4254843623 @default.
• W2066506571 doi "https://doi.org/10.1016/j.cma.2012.12.013" @default.
• W2066506571 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3635687" @default.
• W2066506571 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/23626380" @default.
• W2066506571 hasPublicationYear "2013" @default.
• W2066506571 type Work @default.
• W2066506571 sameAs 2066506571 @default.
• W2066506571 citedByCount "27" @default.
• W2066506571 countsByYear W20665065712013 @default.
• W2066506571 countsByYear W20665065712014 @default.
• W2066506571 countsByYear W20665065712015 @default.
• W2066506571 countsByYear W20665065712017 @default.
• W2066506571 countsByYear W20665065712018 @default.
• W2066506571 countsByYear W20665065712019 @default.
• W2066506571 countsByYear W20665065712020 @default.
• W2066506571 countsByYear W20665065712021 @default.
• W2066506571 countsByYear W20665065712023 @default.
• W2066506571 crossrefType "journal-article" @default.
• W2066506571 hasAuthorship W2066506571A5014180482 @default.
• W2066506571 hasAuthorship W2066506571A5081078400 @default.
• W2066506571 hasAuthorship W2066506571A5087790536 @default.
• W2066506571 hasBestOaLocation W20665065712 @default.
• W2066506571 hasConcept C104317684 @default.
• W2066506571 hasConcept C11413529 @default.
• W2066506571 hasConcept C119857082 @default.
• W2066506571 hasConcept C126255220 @default.
• W2066506571 hasConcept C127413603 @default.
• W2066506571 hasConcept C156439662 @default.
• W2066506571 hasConcept C185592680 @default.
• W2066506571 hasConcept C193254401 @default.
• W2066506571 hasConcept C21200559 @default.
• W2066506571 hasConcept C24326235 @default.
• W2066506571 hasConcept C2778770139 @default.
• W2066506571 hasConcept C28826006 @default.
• W2066506571 hasConcept C32230216 @default.
• W2066506571 hasConcept C33923547 @default.
• W2066506571 hasConcept C41008148 @default.
• W2066506571 hasConcept C55493867 @default.
• W2066506571 hasConcept C63479239 @default.
• W2066506571 hasConceptScore W2066506571C104317684 @default.
• W2066506571 hasConceptScore W2066506571C11413529 @default.
• W2066506571 hasConceptScore W2066506571C119857082 @default.
• W2066506571 hasConceptScore W2066506571C126255220 @default.
• W2066506571 hasConceptScore W2066506571C127413603 @default.
• W2066506571 hasConceptScore W2066506571C156439662 @default.
• W2066506571 hasConceptScore W2066506571C185592680 @default.
• W2066506571 hasConceptScore W2066506571C193254401 @default.
• W2066506571 hasConceptScore W2066506571C21200559 @default.
• W2066506571 hasConceptScore W2066506571C24326235 @default.
• W2066506571 hasConceptScore W2066506571C2778770139 @default.
• W2066506571 hasConceptScore W2066506571C28826006 @default.
• W2066506571 hasConceptScore W2066506571C32230216 @default.
• W2066506571 hasConceptScore W2066506571C33923547 @default.
• W2066506571 hasConceptScore W2066506571C41008148 @default.
• W2066506571 hasConceptScore W2066506571C55493867 @default.
• W2066506571 hasConceptScore W2066506571C63479239 @default.
• W2066506571 hasLocation W20665065711 @default.
• W2066506571 hasLocation W20665065712 @default.
• W2066506571 hasLocation W20665065713 @default.
• W2066506571 hasLocation W20665065714 @default.
• W2066506571 hasOpenAccess W2066506571 @default.

• next