The aim of the present work is to investigate the seismic performance of coupled dam-foundation system using finite element analysis. For this purpose, different damage indicators and damage variables are adopted. Seismic analysis of dam-foundation system is performed for a combination of horizontal and vertical components of ground motion records which are selected using the Conditional Mean Spectrum method. The Concrete Damaged Plasticity model is used to simulate material non-linearity in the dam; however, the foundation is considered to be linear. One-way plane strain infinite elements are provided to the far end of the foundation domain to allow seismic wave propagation away from the foundation. Non-linear time-history analysis is performed considering nine number of recorded ground motions. The amount of post-seismic tensile crack failure in the dam is illustrated using multi-variable damage indicators in which damage dissipation energy, crack length and maximum drift takes into consideration as a damage variables. Further, crest displacement, dissipation energy and accumulated failure in the dam are correlated with different ground motion parameters. The results show that the ground motion with low-frequency contents and long duration has a considerable effect on the displacement response of the dam; however, the high amplitude ground motions significantly influence the tensile failure and dissipation energy in the dam.


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    Titel :

    Performance Assessment of Coupled Dam-Foundation System for Recorded Seismic Excitations


    Weitere Titelangaben:

    Lecture Notes in Civil Engineering


    Beteiligte:
    Laishram, Boeing (Herausgeber:in) / Tawalare, Abhay (Herausgeber:in) / Tidke, Aniket R. (Autor:in) / Adhikary, Shrabony (Autor:in)

    Kongress:

    International Conference on Advances in Civil Engineering ; 2020 May 28, 2020 - May 29, 2020



    Erscheinungsdatum :

    15.12.2021


    Format / Umfang :

    14 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch