Utilization of a Genetic Algorithm to Identify Optimal Geometric Shapes for a Seismic Protective Barrier

Vladimir Bratov (), Andrey Murachev and Sergey V. Kuznetsov
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Vladimir Bratov: School of Computing, Engineering & The Built Environment, Edinburgh Napier University, Edinburgh EH10 5DT, UK
Andrey Murachev: Department of Theoretical Mechanics, Peter the Great St. Petersburg Polytechnic University, St. Petersburg 195251, Russia
Sergey V. Kuznetsov: Ishlinsky Institute for Problems in Mechanics, Moscow 119526, Russia

Mathematics, 2024, vol. 12, issue 3, 1-14

Abstract: The utilization of seismic barriers for protection against the hazardous impact of natural or technogenic waves is an extremely promising emerging technology to secure buildings, structures and entire areas against earthquake-generated seismic waves, high-speed-transport-induced vibrations, etc. The current research is targeted at studying the effect of seismic-barrier shape on the reduction of seismic-wave magnitudes within the protected region. The analytical solution of Lamb’s problem was used to verify the adopted numerical approach. It was demonstrated that the addition of complementary geometric features to a simple barrier shape provides the possibility of significantly increasing the resulting seismic protection. A simple genetic algorithm was employed to evaluate the nontrivial but extremely effective geometry of the seismic barrier. The developed approach can be used in various problems requiring optimization of non-parameterizable geometric shapes. The applicability of genetic algorithms and other generative algorithms to discover optimal (or close to optimal) geometric configurations for the essentially multiscale problems of the interaction of mechanical waves with inclusions is discussed.

Keywords: seismic barrier; earthquake; vibration; complex geometry; genetic algorithm; optimization; multiscale modeling; heterogeneous media and structures (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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