"Reissner-Mindlin plate model with uncertain input data"@en . "RIV/67985840:_____/14:00425623!RIV15-AV0-67985840" . "Reissner-Mindlin model; orthotropic plate"@en . . "[716B94B4C3F4]" . "000331505300006" . "GB - Spojen\u00E9 kr\u00E1lovstv\u00ED Velk\u00E9 Brit\u00E1nie a Severn\u00EDho Irska" . . "41942" . "17" . . "I, P(GAP105/10/1682)" . "2"^^ . "A Reissner\u2013Mindlin model of a plate resting on unilateral rigid piers and a unilateral elastic foundation is considered. Since the material coefficients of the orthotropic plate, stiffness of the foundation, and the lateral loading are uncertain, a method of the worst scenario (anti-optimization) is employed to find maximal values of some quantity of interest. The state problem is formulated in terms of a variational inequality with a monotone operator. Using mixed-interpolated finite elements, approximations are proposed for the state problem and for the worst scenario problem. The solvability of the problems and a convergence of approximations is proved."@en . "Hlav\u00E1\u010Dek, Ivan" . . "Chleboun, J." . "1"^^ . . "Reissner-Mindlin plate model with uncertain input data" . . . "10.1016/j.nonrwa.2013.10.007" . "Reissner-Mindlin plate model with uncertain input data" . "Jun" . "Reissner-Mindlin plate model with uncertain input data"@en . . . . . "1468-1218" . . . . "RIV/67985840:_____/14:00425623" . "18"^^ . "Nonlinear Analysis: Real World Applications" . "A Reissner\u2013Mindlin model of a plate resting on unilateral rigid piers and a unilateral elastic foundation is considered. Since the material coefficients of the orthotropic plate, stiffness of the foundation, and the lateral loading are uncertain, a method of the worst scenario (anti-optimization) is employed to find maximal values of some quantity of interest. The state problem is formulated in terms of a variational inequality with a monotone operator. Using mixed-interpolated finite elements, approximations are proposed for the state problem and for the worst scenario problem. The solvability of the problems and a convergence of approximations is proved." . .