000127079 001__ 127079
000127079 005__ 20241125101142.0
000127079 0247_ $$2doi$$a10.5802/crmeca.188
000127079 0248_ $$2sideral$$a134529
000127079 037__ $$aART-2023-134529
000127079 041__ $$aeng
000127079 100__ $$aChinesta, Francisco
000127079 245__ $$aConciliating accuracy and efficiency to empower engineering based on performance: a short journey
000127079 260__ $$c2023
000127079 5060_ $$aAccess copy available to the general public$$fUnrestricted
000127079 5203_ $$aThis paper revisits the different arts of engineering. The art of modeling for describing the behavior of complex systems from the solution of partial differential equations that are expected to govern their responses. Then, the art of simulation concerns the ability of solving these complex mathematical objects expected to describe the physical reality as accurately as possible (accuracy with respect to the exact solution of the models) and as fast as possible. Finally, the art of decision making needs to ensure accurate and fast predictions for efficient diagnosis and prognosis. For that purpose physics-informed digital twins (also known as Hybrid Twins) will be employed, allying real-time physics (where complex models are solved by using advanced model order reduction techniques) and physics-informed data-driven models for filling the gap between the reality and the physics-based model predictions. The use of physics-aware data-driven models in tandem with physics-based reduced order models allows us to predict very fast without compromising accuracy. This is compulsory for diagnosis and prognosis purposes.
000127079 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FSE/T24-20R$$9info:eu-repo/grantAgreement/ES/MICINN-AEI/PID2020-113463RB-C31/AEI/10.13039/501100011033
000127079 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000127079 590__ $$a1.0$$b2023
000127079 592__ $$a0.25$$b2023
000127079 591__ $$aMECHANICS$$b143 / 170 = 0.841$$c2023$$dQ4$$eT3
000127079 593__ $$aMechanics of Materials$$c2023$$dQ3
000127079 593__ $$aMaterials Science (miscellaneous)$$c2023$$dQ3
000127079 594__ $$a1.4$$b2023
000127079 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000127079 700__ $$0(orcid)0000-0003-1017-4381$$aCueto, Elias$$uUniversidad de Zaragoza
000127079 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000127079 773__ $$g351, S3 (2023), 1-13$$pC. R. Mec.$$tCOMPTES RENDUS MECANIQUE$$x1631-0721
000127079 8564_ $$s4360339$$uhttps://zaguan.unizar.es/record/127079/files/texto_completo.pdf$$yVersión publicada
000127079 8564_ $$s900043$$uhttps://zaguan.unizar.es/record/127079/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000127079 909CO $$ooai:zaguan.unizar.es:127079$$particulos$$pdriver
000127079 951__ $$a2024-11-22-12:02:59
000127079 980__ $$aARTICLE