The Experts below are selected from a list of 174 Experts worldwide ranked by ideXlab platform

Yufeng Xing - One of the best experts on this subject based on the ideXlab platform.

  • free vibration of functionally graded sandwich shallow shells in thermal environments by a differential quadrature hierarchical finite element method
    Composite Structures, 2019
    Co-Authors: Yufeng Xing
    Abstract:

    Abstract This paper presents a differential quadrature hierarchical finite element method (DQHFEM) for dynamic analyses of functionally graded material (FGM) sandwich shallow shells in thermal and non-thermal environments. A layer-wise theory based on the first-order shear deformation theory (FSDT) for each layer was adopted. Effective material properties of the FGM are estimated according to Voigt’s rule of mixture (ROM) and/or Mori–Tanaka (MT) scheme. For the shells in thermal environment, a nonlinear temperature distribution in thickness direction is considered and the elastic properties are assumed to be temperature dependent. The results obtained from the proposed formulation are validated with those available in literatures. Natural frequencies obtained from Sander’s, Love’s and Donnell’s shell theories for different geometric and boundary conditions are compared with each other first to assess the performance of different shell theories for FGM sandwich shells under non-thermal environment. Then the effects of volume fraction index, core thickness and temperature gradient on natural frequencies of FGM sandwich shells are investigated. The presented DQHFEM is much like the fixed Interface Mode synthesis method but does not need modal analysis and is of high accuracy. This work is the first application of the method to functionally graded sandwich shells in thermal environments.

  • In-plane vibration analysis of plates in curvilinear domains by a differential quadrature hierarchical finite element method
    Meccanica, 2016
    Co-Authors: Cuiyun Liu, Bo Liu, Yufeng Xing, J. N. Reddy, A. M. A. Neves, António J.m. Ferreira
    Abstract:

    Free in-plane vibration analysis of plates is carried out by a differential quadrature hierarchical finite element method (DQHFEM). The NURBS (Non-Uniform Rational B-Splines) patches of geometries were first transformed into differential quadrature hierarchical (DQH) patches, and then the elastic field was discretized by the same DQH basis. The DQHFEM solved the compatibility problem caused by different parametrization of neighbouring patches of isogeometric analysis using NURBS. And mesh refinement in DQHFEM does not propagate from patch to patch. The DQHFEM matrices also have the embedding property as the hierarchical finite element method (HFEM). In-plane vibration analyses of plates of several planforms showed that the DQHFEM is similar as the fixed Interface Mode synthesis method that can analyse a structure using a few nodes on the boundary of substructure elements and only several clamped Modes inside each substructure element, but the DQHFEM does not need modal analysis and is of high accuracy. The accuracy and convergence of the DQHFEM were validated through comparison with exact and approximate results in literatures and computed by the authors.

J. N. Reddy - One of the best experts on this subject based on the ideXlab platform.

  • actively controllable topological phase transition in homogeneous piezoelectric rod system
    Journal of The Mechanics and Physics of Solids, 2020
    Co-Authors: Weijian Zhou, Bin Wu, Zhenyu Chen, Weiqiu Chen, J. N. Reddy
    Abstract:

    Abstract By employing periodic electrical boundary conditions, an innovative method to generate actively tunable topologically protected Interface Mode in a “homogeneous” piezoelectric rod system is proposed. Made of homogeneous material and with uniform structure, each unit cell of the piezoelectric rod system consists of three sub-rods forming an A-B-A structure, where the two A sub-rods have the same geometry and electric boundary conditions. It is discovered that the switch of electrical boundary conditions from A-closed and B-open to A-open and B-closed will yield topological phase inversion, based on which topologically protected Interface Mode is realized. When capacitors CA and CB are connected to the electrodes of sub-rods A and B, respectively, a variety of physical phenomena is observed. On one hand, varying the capacitance in a certain path leads to topological phase transition. On the other hand, different variation paths of the capacitors give rise to different locations of topological phase transition points. This discovery allows the eigenfrequency of the topologically protected edge Mode thus formed be actively controlled by appropriately varying the capacitance. The active topological protected Interface Mode may find wide engineering applications that require high sensitivity sensing, nondestructive testing, reinforcing energy harvesting, information processing, and others.

  • In-plane vibration analysis of plates in curvilinear domains by a differential quadrature hierarchical finite element method
    Meccanica, 2016
    Co-Authors: Cuiyun Liu, Bo Liu, Yufeng Xing, J. N. Reddy, A. M. A. Neves, António J.m. Ferreira
    Abstract:

    Free in-plane vibration analysis of plates is carried out by a differential quadrature hierarchical finite element method (DQHFEM). The NURBS (Non-Uniform Rational B-Splines) patches of geometries were first transformed into differential quadrature hierarchical (DQH) patches, and then the elastic field was discretized by the same DQH basis. The DQHFEM solved the compatibility problem caused by different parametrization of neighbouring patches of isogeometric analysis using NURBS. And mesh refinement in DQHFEM does not propagate from patch to patch. The DQHFEM matrices also have the embedding property as the hierarchical finite element method (HFEM). In-plane vibration analyses of plates of several planforms showed that the DQHFEM is similar as the fixed Interface Mode synthesis method that can analyse a structure using a few nodes on the boundary of substructure elements and only several clamped Modes inside each substructure element, but the DQHFEM does not need modal analysis and is of high accuracy. The accuracy and convergence of the DQHFEM were validated through comparison with exact and approximate results in literatures and computed by the authors.

António J.m. Ferreira - One of the best experts on this subject based on the ideXlab platform.

  • In-plane vibration analysis of plates in curvilinear domains by a differential quadrature hierarchical finite element method
    Meccanica, 2016
    Co-Authors: Cuiyun Liu, Bo Liu, Yufeng Xing, J. N. Reddy, A. M. A. Neves, António J.m. Ferreira
    Abstract:

    Free in-plane vibration analysis of plates is carried out by a differential quadrature hierarchical finite element method (DQHFEM). The NURBS (Non-Uniform Rational B-Splines) patches of geometries were first transformed into differential quadrature hierarchical (DQH) patches, and then the elastic field was discretized by the same DQH basis. The DQHFEM solved the compatibility problem caused by different parametrization of neighbouring patches of isogeometric analysis using NURBS. And mesh refinement in DQHFEM does not propagate from patch to patch. The DQHFEM matrices also have the embedding property as the hierarchical finite element method (HFEM). In-plane vibration analyses of plates of several planforms showed that the DQHFEM is similar as the fixed Interface Mode synthesis method that can analyse a structure using a few nodes on the boundary of substructure elements and only several clamped Modes inside each substructure element, but the DQHFEM does not need modal analysis and is of high accuracy. The accuracy and convergence of the DQHFEM were validated through comparison with exact and approximate results in literatures and computed by the authors.

Kevin Gaastra - One of the best experts on this subject based on the ideXlab platform.

  • pmagpy software package for paleomagnetic data analysis and a bridge to the magnetics information consortium magic database
    Geochemistry Geophysics Geosystems, 2016
    Co-Authors: Lisa Tauxe, Ron Shaar, L Jonestrask, Nicholas L Swansonhysell, R Minnett, Anthony A P Koppers, C G Constable, N A Jarboe, Kevin Gaastra
    Abstract:

    The Magnetics Information Consortium (MagIC) database provides an archive with a flexible data Model for paleomagnetic and rock magnetic data. The PmagPy software package is a cross-platform and open-source set of tools written in Python for the analysis of paleomagnetic data that serves as one Interface to MagIC, accommodating various levels of user expertise. PmagPy facilitates thorough documentation of sampling, measurements, data sets, visualization, and interpretation of paleomagnetic and rock magnetic experimental data. Although not the only route into the MagIC database, PmagPy makes preparation of newly published data sets for contribution to MagIC as a byproduct of normal data analysis and allows manipulation as well as reanalysis of data sets downloaded from MagIC with a single software package. The graphical user Interface (GUI), Pmag GUI enables use of much of PmagPy's functionality, but the full capabilities of PmagPy extend well beyond that. Over 400 programs and functions can be called from the command line Interface Mode, or from within the interactive Jupyter notebooks. Use of PmagPy within a notebook allows for documentation of the workflow from the laboratory to the production of each published figure or data table, making research results fully reproducible. The PmagPy design and its development using GitHub accommodates extensions to its capabilities through development of new tools by the user community. Here we describe the PmagPy software package and illustrate the power of data discovery and reuse through a reanalysis of published paleointensity data which illustrates how the effectiveness of selection criteria can be tested.

  • pmagpy software package for paleomagnetic data analysis and a bridge to the magnetics information consortium magic database
    Geochemistry Geophysics Geosystems, 2016
    Co-Authors: Lisa Tauxe, Ron Shaar, L Jonestrask, Nicholas L Swansonhysell, R Minnett, Anthony A P Koppers, C G Constable, N Jarboe, Kevin Gaastra
    Abstract:

    Author(s): Tauxe, L; Shaar, R; Jonestrask, L; Swanson-Hysell, NL; Minnett, R; Koppers, AAP; Constable, CG; Jarboe, N; Gaastra, K; Fairchild, L | Abstract: © 2016. The Authors. The Magnetics Information Consortium (MagIC) database provides an archive with a flexible data Model for paleomagnetic and rock magnetic data. The PmagPy software package is a cross-platform and open-source set of tools written in Python for the analysis of paleomagnetic data that serves as one Interface to MagIC, accommodating various levels of user expertise. PmagPy facilitates thorough documentation of sampling, measurements, data sets, visualization, and interpretation of paleomagnetic and rock magnetic experimental data. Although not the only route into the MagIC database, PmagPy makes preparation of newly published data sets for contribution to MagIC as a byproduct of normal data analysis and allows manipulation as well as reanalysis of data sets downloaded from MagIC with a single software package. The graphical user Interface (GUI), Pmag GUI enables use of much of PmagPy's functionality, but the full capabilities of PmagPy extend well beyond that. Over 400 programs and functions can be called from the command line Interface Mode, or from within the interactive Jupyter notebooks. Use of PmagPy within a notebook allows for documentation of the workflow from the laboratory to the production of each published figure or data table, making research results fully reproducible. The PmagPy design and its development using GitHub accommodates extensions to its capabilities through development of new tools by the user community. Here we describe the PmagPy software package and illustrate the power of data discovery and reuse through a reanalysis of published paleointensity data which illustrates how the effectiveness of selection criteria can be tested.

Ron Shaar - One of the best experts on this subject based on the ideXlab platform.

  • pmagpy software package for paleomagnetic data analysis and a bridge to the magnetics information consortium magic database
    Geochemistry Geophysics Geosystems, 2016
    Co-Authors: Lisa Tauxe, Ron Shaar, L Jonestrask, Nicholas L Swansonhysell, R Minnett, Anthony A P Koppers, C G Constable, N A Jarboe, Kevin Gaastra
    Abstract:

    The Magnetics Information Consortium (MagIC) database provides an archive with a flexible data Model for paleomagnetic and rock magnetic data. The PmagPy software package is a cross-platform and open-source set of tools written in Python for the analysis of paleomagnetic data that serves as one Interface to MagIC, accommodating various levels of user expertise. PmagPy facilitates thorough documentation of sampling, measurements, data sets, visualization, and interpretation of paleomagnetic and rock magnetic experimental data. Although not the only route into the MagIC database, PmagPy makes preparation of newly published data sets for contribution to MagIC as a byproduct of normal data analysis and allows manipulation as well as reanalysis of data sets downloaded from MagIC with a single software package. The graphical user Interface (GUI), Pmag GUI enables use of much of PmagPy's functionality, but the full capabilities of PmagPy extend well beyond that. Over 400 programs and functions can be called from the command line Interface Mode, or from within the interactive Jupyter notebooks. Use of PmagPy within a notebook allows for documentation of the workflow from the laboratory to the production of each published figure or data table, making research results fully reproducible. The PmagPy design and its development using GitHub accommodates extensions to its capabilities through development of new tools by the user community. Here we describe the PmagPy software package and illustrate the power of data discovery and reuse through a reanalysis of published paleointensity data which illustrates how the effectiveness of selection criteria can be tested.

  • pmagpy software package for paleomagnetic data analysis and a bridge to the magnetics information consortium magic database
    Geochemistry Geophysics Geosystems, 2016
    Co-Authors: Lisa Tauxe, Ron Shaar, L Jonestrask, Nicholas L Swansonhysell, R Minnett, Anthony A P Koppers, C G Constable, N Jarboe, Kevin Gaastra
    Abstract:

    Author(s): Tauxe, L; Shaar, R; Jonestrask, L; Swanson-Hysell, NL; Minnett, R; Koppers, AAP; Constable, CG; Jarboe, N; Gaastra, K; Fairchild, L | Abstract: © 2016. The Authors. The Magnetics Information Consortium (MagIC) database provides an archive with a flexible data Model for paleomagnetic and rock magnetic data. The PmagPy software package is a cross-platform and open-source set of tools written in Python for the analysis of paleomagnetic data that serves as one Interface to MagIC, accommodating various levels of user expertise. PmagPy facilitates thorough documentation of sampling, measurements, data sets, visualization, and interpretation of paleomagnetic and rock magnetic experimental data. Although not the only route into the MagIC database, PmagPy makes preparation of newly published data sets for contribution to MagIC as a byproduct of normal data analysis and allows manipulation as well as reanalysis of data sets downloaded from MagIC with a single software package. The graphical user Interface (GUI), Pmag GUI enables use of much of PmagPy's functionality, but the full capabilities of PmagPy extend well beyond that. Over 400 programs and functions can be called from the command line Interface Mode, or from within the interactive Jupyter notebooks. Use of PmagPy within a notebook allows for documentation of the workflow from the laboratory to the production of each published figure or data table, making research results fully reproducible. The PmagPy design and its development using GitHub accommodates extensions to its capabilities through development of new tools by the user community. Here we describe the PmagPy software package and illustrate the power of data discovery and reuse through a reanalysis of published paleointensity data which illustrates how the effectiveness of selection criteria can be tested.