Abstract
The analysis of different designer decisions for the seismic isolation of buildings by realization of the full wave numerical modeling is examined in this chapter. The seismic isolation (isolation of the foundation) is one of methods to increase the seismic stability of a building and reduce consequences from the influence of earthquakes. Application of the full wave computer modeling is studied for the detailed analysis of different approaches to the isolation of the foundation by the analysis of the distribution of seismic waves into the complex heterogeneous structure of a building. High-fidelity numerical methods are used for solving the system of equations describing the spatial dynamic elastic and acoustic wave processes in the elaborate heterogeneous modeling of a building and surrounding geological array. Also, the seismic stability is examined on buildings with different elastic properties, particularly a seismic isolation of surrounding houses, pools, lakes, rivers, cavities, and ground caverns under waters. The proposed study for seismic resistance using the grid-characteristic method was compared with results of numeral experiments based on a videotape recording of building destruction during the earthquake in Mexico happening 19 September, 2017.
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Acknowledgements
This work has been done in Seismic Stability Investigation Laboratory at Non-state educational institution “Educational Scientific and Experimental Center of Moscow Institute of Physics and Technology” and was supported by the Russian Science Foundation, grant no. 17-71-20088. This work has been carried out using computing resources of the federal collective usage center Complex for Simulation and Data Processing for Mega-science Facilities at NRC “Kurchatov Institute”, http://ckp.nrcki.ru/.
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Favorskaya, A.V., Breus, A.V., Galitskii, B.V. (2019). Application of the Grid-Characteristic Method to the Seismic Isolation Model. In: Petrov, I., Favorskaya, A., Favorskaya, M., Simakov, S., Jain, L. (eds) Smart Modeling for Engineering Systems. GCM50 2018. Smart Innovation, Systems and Technologies, vol 133. Springer, Cham. https://doi.org/10.1007/978-3-030-06228-6_15
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DOI: https://doi.org/10.1007/978-3-030-06228-6_15
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