Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Francisco Periago"'
Publikováno v:
Journal of Optimization Theory and Applications. 196:391-414
This paper addresses the numerical resolution of controllability problems for partial differential equations (PDEs) by using physics-informed neural networks. Error estimates for the generalization error for both state and control are derived from cl
Autor:
Jesús Martínez-Frutos, Rogelio Ortigosa, Carlos Mora-Corral, Pablo Pedregal, Francisco Periago
Publikováno v:
Applied Mathematical Modelling. 103:141-161
This paper presents a novel in-silico framework for the simultaneous optimal control and design of complex magnetic responsive polymer composite materials. State-of-the-art optimisation techniques are used in conjunction with the latest developments
Publikováno v:
Applied Mathematical Modelling. 88:888-904
Soft robots are highly nonlinear systems made of deformable materials such as elastomers, fluids and other soft matter, that often exhibit intrinsic uncertainty in their elastic responses under large strains due to microstructural inhomogeneity. Thes
Autor:
Francisco Periago, Jesús Martínez-Frutos, Pablo Pedregal, Rogelio Ortigosa, Carlos Mora-Corral
Publikováno v:
Biblos-e Archivo. Repositorio Institucional de la UAM
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This paper addresses, from both theoretical and numerical standpoints, the problem of optimal control of hyperelastic materials characterised by means of polyconvex stored energy functionals. Specifically, inspired by A. Günnel and R. Herzog, Optima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::625ccd37ffe0d2d2a6278709cdbb2b04
https://doi.org/10.1137/19m1307299
https://doi.org/10.1137/19m1307299
A polynomial chaos-based approach to risk-averse piezoelectric control of random vibrations of beams
Publikováno v:
International Journal for Numerical Methods in Engineering. 115:738-755
Publikováno v:
Computer Methods in Applied Mechanics and Engineering. 330:180-206
This work proposes a level-set based approach for solving risk-averse structural topology optimization problems considering random field loading and material uncertainty. The use of random fields increases the dimensionality of the stochastic domain,
Publikováno v:
Computer Methods in Applied Mechanics and Engineering
Computer Methods in Applied Mechanics and Engineering, Elsevier, 2019, 345, pp.1-25. ⟨10.1016/j.cma.2018.10.036⟩
Computer Methods in Applied Mechanics and Engineering, 2019, 345, pp.1-25. ⟨10.1016/j.cma.2018.10.036⟩
Computer Methods in Applied Mechanics and Engineering, Elsevier, 2019, 345, pp.1-25. ⟨10.1016/j.cma.2018.10.036⟩
Computer Methods in Applied Mechanics and Engineering, 2019, 345, pp.1-25. ⟨10.1016/j.cma.2018.10.036⟩
International audience; Porosity is a well-known phenomenon occurring during various manufacturing processes (casting, welding, additive manufacturing) of solid structures, which undermines their reliability and mechanical performance. The main purpo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a05fdf37fc1c27e858122f8f5c27e9e1
https://hal.archives-ouvertes.fr/hal-01790472/file/toporob_last.pdf
https://hal.archives-ouvertes.fr/hal-01790472/file/toporob_last.pdf
This work gathers a selection of outstanding papers presented at the 25th Conference on Differential Equations and Applications / 15th Conference on Applied Mathematics, held in Cartagena, Spain, in June 2017. It supports further research into both o
Publikováno v:
Computer Methods in Applied Mechanics and Engineering. 305:271-291
This work proposes a stochastic shape optimization method for continuous structures using the level-set method. Such a method aims to minimize the expected compliance and its variance as measures of the structural robustness. The behavior of continuo
Publikováno v:
International Journal for Numerical Methods in Engineering. 108:116-135
The problem of robust optimal Robin boundary control for a parabolic partial dierential equation with uncertain input data is considered. As a measure of robustness, the variance of the random system response is included in two dierent cost functiona