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 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.

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Publication Details

Journal
Reinforced concrete structures
Published
2024-09-27
DOI
https://doi.org/10.22227/2949-1622.2024.3.3-11
Citations
1
Primary Topic
Remote Sensing and Land Use
Type
article
Field-Weighted Citation Impact
0.38
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article

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

Ashot Tamrazyan, Т. А. Мацеевич
1 citations
Reinforced concrete structures
Remote Sensing and Land Use
0.38
article

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

Ashot Tamrazyan, Т. А. Мацеевич
article en
1 citations

Abstract

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.

Reinforced concrete structuresVol. 7(3)
Moscow State University of Civil Engineering (RU)
Openalex Percentile: Top 39%
Remote Sensing and Land Use
0.38
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