Estimation of Damage Degree of Buildings in Earthquakes by Statistical Modeling Method

A new approach to assessing the degree of damage to buildings during earthquakes using statistical modeling is proposed. Using the Monte Carlo method, synthetic databases with specified statistical characteristics of damageability of reinforced concrete frame buildings were obtained. After transform...

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Main Authors: A. G. Tamrazyan, T. A. Matseevich
Format: Article
Language:English
Published: Moscow State University of Civil Engineering (MGSU) 2024-09-01
Series:Железобетонные конструкции
Subjects:
Online Access:https://www.g-b-k.ru/jour/article/view/54
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author A. G. Tamrazyan
T. A. Matseevich
author_facet A. G. Tamrazyan
T. A. Matseevich
author_sort A. G. Tamrazyan
collection DOAJ
description A new approach to assessing the degree of damage to buildings during earthquakes using statistical modeling is proposed. Using the Monte Carlo method, synthetic databases with specified statistical characteristics of damageability of reinforced concrete frame buildings were obtained. After transforming the elements of these databases, new statistical characteristics of damageability were obtained with variation coefficient values less than 0.30. The research results can be used to determine the seismic load calculation through the permissible damage coefficient.
format Article
id doaj-art-d4bb439aeb7941bc8d902ee6fb5541fd
institution Kabale University
issn 2949-1622
2949-1614
language English
publishDate 2024-09-01
publisher Moscow State University of Civil Engineering (MGSU)
record_format Article
series Железобетонные конструкции
spelling doaj-art-d4bb439aeb7941bc8d902ee6fb5541fd2025-02-06T07:09:54ZengMoscow State University of Civil Engineering (MGSU)Железобетонные конструкции2949-16222949-16142024-09-017331110.22227/2949-1622.2024.3.3-1149Estimation of Damage Degree of Buildings in Earthquakes by Statistical Modeling MethodA. G. Tamrazyan0T. A. Matseevich1Moscow State University of Civil Engineering (National Research University) (MGSU)Moscow State University of Civil Engineering (National Research University) (MGSU)A new approach to assessing the degree of damage to buildings during earthquakes using statistical modeling is proposed. Using the Monte Carlo method, synthetic databases with specified statistical characteristics of damageability of reinforced concrete frame buildings were obtained. After transforming the elements of these databases, new statistical characteristics of damageability were obtained with variation coefficient values less than 0.30. The research results can be used to determine the seismic load calculation through the permissible damage coefficient.https://www.g-b-k.ru/jour/article/view/54seismic resistancedamage tolerance coefficientreinforced concrete framestatistical modelingmonte carlo method
spellingShingle A. G. Tamrazyan
T. A. Matseevich
Estimation of Damage Degree of Buildings in Earthquakes by Statistical Modeling Method
Железобетонные конструкции
seismic resistance
damage tolerance coefficient
reinforced concrete frame
statistical modeling
monte carlo method
title Estimation of Damage Degree of Buildings in Earthquakes by Statistical Modeling Method
title_full Estimation of Damage Degree of Buildings in Earthquakes by Statistical Modeling Method
title_fullStr Estimation of Damage Degree of Buildings in Earthquakes by Statistical Modeling Method
title_full_unstemmed Estimation of Damage Degree of Buildings in Earthquakes by Statistical Modeling Method
title_short Estimation of Damage Degree of Buildings in Earthquakes by Statistical Modeling Method
title_sort estimation of damage degree of buildings in earthquakes by statistical modeling method
topic seismic resistance
damage tolerance coefficient
reinforced concrete frame
statistical modeling
monte carlo method
url https://www.g-b-k.ru/jour/article/view/54
work_keys_str_mv AT agtamrazyan estimationofdamagedegreeofbuildingsinearthquakesbystatisticalmodelingmethod
AT tamatseevich estimationofdamagedegreeofbuildingsinearthquakesbystatisticalmodelingmethod