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Оптимизация параметров сейсмозащиты с помощью генетического кода

выпускная квалификационная работа бакалавра
descriptionPublicationkeyboard_double_arrow_right Other literature type 01 Jan 2022 Russian Publisher:Санкт-Петербургский политехнический университет Петра Великого

doi: 10.18720/spbpu/3/2022/vr/vr22-1038

Оптимизация параметров сейсмозащиты с помощью генетического кода

Abstract

В данной работе исследуется технология сейсмоизоляции сооружений путем внедрения в конструкцию здания эластомерных опор. Исследуется влияние различных параметров на изменения сейсмического воздействия и для различных типов землетрясения подбираются оптимальные характеристики. Подбор проводится с помощью генетического алгоритма, написанного на языке Python. 

This paper investigates the technology of seismic isolation of structures by introducing elastomeric supports into the building structure. The effect of various parameters on changes in seismic effects is investigated and optimal characteristics are selected for different types of earthquakes. The selection is done using a genetic algorithm written in Python. 

Keywords

elastomeric isolator, seismic protection, эластомерная опора, earthquake, genetic algorithm, генетический алгоритм, землятресение, сейсмозащита

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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