The Experts below are selected from a list of 11376 Experts worldwide ranked by ideXlab platform

A.v. Mendonça - One of the best experts on this subject based on the ideXlab platform.

  • A coupled boundary element/differential equation method formulation for plate–beam interaction analysis
    Engineering Analysis With Boundary Elements, 2010
    Co-Authors: João Batista De Paiva, A.v. Mendonça
    Abstract:

    In this work, a new boundary element formulation for the analysis of plate–beam interaction is presented. This formulation uses a three Nodal Value boundary elements and each beam element is replaced by its actions on the plate, i.e., a distributed load and end of element forces. From the solution of the differential equation of a beam with linearly distributed load the plate–beam interaction tractions can be written as a function of the Nodal Values of the beam. With this transformation a final system of equation in the Nodal Values of displacements of plate boundary and beam nodes is obtained and from it, all unknowns of the plate–beam system are obtained. Many examples are analyzed and the results show an excellent agreement with those from the analytical solution and other numerical methods.

João Batista De Paiva - One of the best experts on this subject based on the ideXlab platform.

  • A coupled boundary element/differential equation method formulation for plate–beam interaction analysis
    Engineering Analysis With Boundary Elements, 2010
    Co-Authors: João Batista De Paiva, A.v. Mendonça
    Abstract:

    In this work, a new boundary element formulation for the analysis of plate–beam interaction is presented. This formulation uses a three Nodal Value boundary elements and each beam element is replaced by its actions on the plate, i.e., a distributed load and end of element forces. From the solution of the differential equation of a beam with linearly distributed load the plate–beam interaction tractions can be written as a function of the Nodal Values of the beam. With this transformation a final system of equation in the Nodal Values of displacements of plate boundary and beam nodes is obtained and from it, all unknowns of the plate–beam system are obtained. Many examples are analyzed and the results show an excellent agreement with those from the analytical solution and other numerical methods.

Václav Valenta - One of the best experts on this subject based on the ideXlab platform.

  • Construction of P1 gradient from P0 gradient by averaging
    2015
    Co-Authors: Jiří Kunovský, Václav Šátek, Jan Valdman, Václav Valenta
    Abstract:

    Construction of Nodal and element-wise linear (known as P1) gradient field from element-wise constant (known as P0) gradient field obtained by the P1 finite element methods on defined triangular mesh is based on works of J. Dalik et al. and it is briefly explained and numerically tested in this contribution. Nodal Value of P1 gradient is computed by averaging of P0 gradients on elements sharing the node in a common patch.

  • Construction of P 1 Gradient from P 0 Gradient by Averaging
    2015
    Co-Authors: Jan Valdman, Václav Valenta
    Abstract:

    Construction of Nodal and element-wise linear (known as P 1 ) gradient field from element-wise constant (known as P 0 ) gradient field obtained by the P 1 finite element methods on defined triangular mesh is based on works of J. Dalik et al. and it is briefly explained and numerically tested in this contribution. Nodal Value of P 1 gradient is computed by averaging of P 0 gradients on elements sharing the node in a common patch.

Keith Beven - One of the best experts on this subject based on the ideXlab platform.

  • A fuzzy-weighted finite-volume flow model of flooding on the river Thames in a fuzzy possiblistic framework
    2000
    Co-Authors: Barry Hankin, Keith Beven
    Abstract:

    The propagation of large scale floodwaters through complex environmental systems cannot be uniquely modelled using deterministic physically-based models in real time owing to the large degree of fuzziness in the boundary conditions, including topographic detail, distributed roughness and hydrological inputs. A way around this problem is to accept a degree of fuzziness in model predictions, and examine the relative performance of a large number of model structures within a Generalised Likelihood Uncertainty Estimation (GLUE) framework. This is applied to the parameter space of a new and efficient fuzzy-weighted finite-volume (FWFV) flow model to produce fuzzy possibilistic maps for a flood event on the river Thames, UK. The finite volume approach to modelling the St Venant flow equations produces a set of linear weighted equations for the solution variable at each node in terms of its Values at adjacent nodes. These weights comprise components which relate to the connectivity of the Nodal Value of the solution variable to its surrounding Nodal Values, generally in terms of the local diffusive conductance and convective mass flux per unit area. These physical transport properties are affected by the local boundary roughness, which often cannot be specified exactly. Furthermore, the diffusive term is dependent on the time averaged turbulent properties of the flow field, for which there is no analytical model. The FWFV model uses fuzzy inference systems (FIS) to estimate these connectivity-weights, based on training information from measurements in complex flows, and implicitly reflects the uncertainties in the distributed boundary conditions and flow properties.

Jan Valdman - One of the best experts on this subject based on the ideXlab platform.

  • Construction of P1 gradient from P0 gradient by averaging
    2015
    Co-Authors: Jiří Kunovský, Václav Šátek, Jan Valdman, Václav Valenta
    Abstract:

    Construction of Nodal and element-wise linear (known as P1) gradient field from element-wise constant (known as P0) gradient field obtained by the P1 finite element methods on defined triangular mesh is based on works of J. Dalik et al. and it is briefly explained and numerically tested in this contribution. Nodal Value of P1 gradient is computed by averaging of P0 gradients on elements sharing the node in a common patch.

  • Construction of P 1 Gradient from P 0 Gradient by Averaging
    2015
    Co-Authors: Jan Valdman, Václav Valenta
    Abstract:

    Construction of Nodal and element-wise linear (known as P 1 ) gradient field from element-wise constant (known as P 0 ) gradient field obtained by the P 1 finite element methods on defined triangular mesh is based on works of J. Dalik et al. and it is briefly explained and numerically tested in this contribution. Nodal Value of P 1 gradient is computed by averaging of P 0 gradients on elements sharing the node in a common patch.