This paper presents a computationally efficient concurrent multiscale platform to undertake the nonlinear analysis of composite structures. The framework exploits refined one-dimensional models developed within the scheme of the Carrera unified formulation (CUF), which is a generalized hierarchical formulation that generates refined structural theories via a variable kinematic description. The CUF operates at the macro- and microscales, and the macroscale interfaces with a nonlinear micromechanical toolbox. The computational efficiency derives from the ability of the CUF to obtain accurate three-dimensional (3-D)-like stress fields with a reduced computational cost. The nonlinearity is at the matrix level within the microscale, and its effect scales up to the macroscale through homogenization. The macrotangent matrix adopts a perturbation-based method to have meliorated performances. The numerical results demonstrate that the framework requires some 50% of the computational time and 10% of memory usage of traditional 3-D finite elements. Very detailed local effects at the microscale are detectable, and there are no restrictions concerning the complexity of the geometry.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Computationally Efficient Concurrent Multiscale Framework for the Nonlinear Analysis of Composite Structures


    Beteiligte:
    Kaleel, I. (Autor:in) / Petrolo, M. (Autor:in) / Carrera, E. (Autor:in) / Waas, A. M. (Autor:in)

    Erschienen in:

    AIAA Journal ; 57 , 9 ; 4029-4041


    Erscheinungsdatum :

    2019-06-28


    Format / Umfang :

    13 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Multiscale Modeling of Streamers: High-Fidelity Versus Computationally Efficient Methods

    Strobel, Lee R. / Nguyen, Cuong / Guerra-Garcia, Carmen | AIAA | 2022


    Multiscale Modeling of Streamers: High-Fidelity Versus Computationally Efficient Methods

    Strobel, Lee R. / Nguyen, Cuong / Guerra-Garcia, Carmen | TIBKAT | 2022


    Multiscale Concurrent Optimization Towards Additively Manufactured Structures

    Murphy, Ryan D. / Imediegwu, Chikwesiri / Hewson, Robert et al. | AIAA | 2019


    Computationally Efficient Control Allocation

    Durham, W. / AIAA | British Library Conference Proceedings | 1999