Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387449610> ?p ?o ?g. }
Showing items 1 to 58 of
58
with 100 items per page.
- W4387449610 abstract "Abstract Finite Element (FE) analysis is widely used for process simulation of advanced composites in aerospace applications. However, as the fidelity of FE models improves, the cost and time to calibrate, setup and perform simulations also increases significantly. To speed-up process simulation, reduced-order FE can be used. Reduced-order FE and Machine Learning (ML) can be combined to further speed-up the process simulation and enable process optimization. However, theory-agnostic ML usually requires large datasets which may not be feasible in industry. This can be mitigated by integrating the underlying physics into ML to develop Theory-Guided Machine Learning (TGML) models. In this study, for process simulation and optimization of a composite stringer on a wing skin, three modeling approaches are compared: 1) high-fidelity FE modeling, 2) surrogate ML modeling based on high-fidelity FE results, and 3) surrogate TGML modeling based on both high-fidelity and low-fidelity FE results. It is shown that TGML, with the guidance of underlying physics of composites curing, can improve prediction accuracy and significantly reduce the amount of data needed for training compared to theory-agnostic ML." @default.
- W4387449610 created "2023-10-10" @default.
- W4387449610 creator A5031222940 @default.
- W4387449610 creator A5049812561 @default.
- W4387449610 date "2023-06-19" @default.
- W4387449610 modified "2023-10-11" @default.
- W4387449610 title "A Theory-Guided Machine Learning and Reduced-Order Finite Element Modeling Framework to Accelerate Process Simulation of Aerospace Composite Parts" @default.
- W4387449610 doi "https://doi.org/10.1115/ssdm2023-107132" @default.
- W4387449610 hasPublicationYear "2023" @default.
- W4387449610 type Work @default.
- W4387449610 citedByCount "0" @default.
- W4387449610 crossrefType "proceedings-article" @default.
- W4387449610 hasAuthorship W4387449610A5031222940 @default.
- W4387449610 hasAuthorship W4387449610A5049812561 @default.
- W4387449610 hasConcept C111919701 @default.
- W4387449610 hasConcept C113364801 @default.
- W4387449610 hasConcept C119599485 @default.
- W4387449610 hasConcept C127413603 @default.
- W4387449610 hasConcept C135628077 @default.
- W4387449610 hasConcept C146978453 @default.
- W4387449610 hasConcept C167343916 @default.
- W4387449610 hasConcept C167740415 @default.
- W4387449610 hasConcept C2776459999 @default.
- W4387449610 hasConcept C41008148 @default.
- W4387449610 hasConcept C44154836 @default.
- W4387449610 hasConcept C66938386 @default.
- W4387449610 hasConcept C76155785 @default.
- W4387449610 hasConcept C98045186 @default.
- W4387449610 hasConceptScore W4387449610C111919701 @default.
- W4387449610 hasConceptScore W4387449610C113364801 @default.
- W4387449610 hasConceptScore W4387449610C119599485 @default.
- W4387449610 hasConceptScore W4387449610C127413603 @default.
- W4387449610 hasConceptScore W4387449610C135628077 @default.
- W4387449610 hasConceptScore W4387449610C146978453 @default.
- W4387449610 hasConceptScore W4387449610C167343916 @default.
- W4387449610 hasConceptScore W4387449610C167740415 @default.
- W4387449610 hasConceptScore W4387449610C2776459999 @default.
- W4387449610 hasConceptScore W4387449610C41008148 @default.
- W4387449610 hasConceptScore W4387449610C44154836 @default.
- W4387449610 hasConceptScore W4387449610C66938386 @default.
- W4387449610 hasConceptScore W4387449610C76155785 @default.
- W4387449610 hasConceptScore W4387449610C98045186 @default.
- W4387449610 hasLocation W43874496101 @default.
- W4387449610 hasOpenAccess W4387449610 @default.
- W4387449610 hasPrimaryLocation W43874496101 @default.
- W4387449610 hasRelatedWork W1997070615 @default.
- W4387449610 hasRelatedWork W2135608140 @default.
- W4387449610 hasRelatedWork W2319626700 @default.
- W4387449610 hasRelatedWork W2347409177 @default.
- W4387449610 hasRelatedWork W2895525995 @default.
- W4387449610 hasRelatedWork W2945374968 @default.
- W4387449610 hasRelatedWork W4293777179 @default.
- W4387449610 hasRelatedWork W4313443006 @default.
- W4387449610 hasRelatedWork W4319589573 @default.
- W4387449610 hasRelatedWork W4385452045 @default.
- W4387449610 isParatext "false" @default.
- W4387449610 isRetracted "false" @default.
- W4387449610 workType "article" @default.