Analysis about factors affecting the degree of damage of buildings in earthquake

Jin-rong, Jia; Yan, Jinghong

doi:10.1088/1742-6596/628/1/012062

Cited by 4 publications

(2 citation statements)

References 4 publications

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“…They have demonstrated the relationships between disaster-resilient urban infrastructure, superstructure development, and earthquake damage using this method. Similarly, Li [36], Jia and Yan [37], Bostenaru Dan and Armaş [38], Yariyan et al [39], and Saputra et al [40] have utilized multiple regression analysis to identify the factors influencing earthquake damage within the field of engineering and create earthquake vulnerability indices.…”

Section: Data Analysis Methodsmentioning

confidence: 99%

Assessing Vulnerability in Earthquake-Resistant Cities: A Multiple Regression Analysis for Sahinali, Nigde

Basar

2024

IJSDP

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The study aims to analyze the correlation between decisions on location, construction style, function, and building height in residential areas and an earthquake-resilient urban approach using multivariate linear regression analysis. The selected study area is Sahinali Neighborhood in the city center of Nigde, impacted by in the Kahramanmaras Earthquake Sequence (the 7.8 and 7.5 Mw earthquakes) in Turkey on February 6, 2023. Findings reveal that site selection is the most crucial factor influencing earthquake damage vulnerability, followed by building function, layout, and number of floors. The results emphasize that city-scale decisions made through zoning plans directly influence the development of an earthquake-resistant city.

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Section: Data Analysis Methodsmentioning

confidence: 99%

Assessing Vulnerability in Earthquake-Resistant Cities: A Multiple Regression Analysis for Sahinali, Nigde

Basar

2024

IJSDP

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“…Fractures in an existing building, depending on the type of the fractures and the circumstances, can be warning signals. Therefore, when analyzing fractures, it is essential to understand whether they are understand whether they are due to settling of the structure or due to a more serious phenomenon that could lead to the collapse of the load-bearing elements ( [14,15], and literature therein).…”

Section: Introductionmentioning

confidence: 99%

Forensic Investigations of Geohazards: The Norcia 2016 Earthquake

Barone

Maggio²

2018

Geosciences

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Earthquakes represent one of the world's most significant hazards in terms of damage to human and animal life, and property. Earthquakes also cause many other related fatalities and damage to urban structures. This paper presents the forensic investigation of failures induced by the Norcia 2016 earthquake in Italy. The detailed geophysical field investigations were carried out at selected locations in two cities: Rome and Amelia. The places of investigation were 150 km and 90 km, respectively, from the epicenter. A ground penetrating radar (GPR) survey was carried out at the sites to highlight structural failures, and included a partially damaged urban bridge, and the cracked wall of a private house. These failures have been discussed with reference to the field measurements carried out. In both cases, the GPR radargram showed clear lesions along with their geometry and location. This forensic geoscientific analysis highlights the importance of detecting structural damage immediately after a geohazard event to help plan proper interventions, efforts to prevent human losses and help law enforcement to focus their forensic investigations.

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A Predictive Model on Post-earthquake Infrastructure Damage

Paul

George

2020

Data Science and Security

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Analysis about factors affecting the degree of damage of buildings in earthquake

Cited by 4 publications

References 4 publications

Assessing Vulnerability in Earthquake-Resistant Cities: A Multiple Regression Analysis for Sahinali, Nigde

Assessing Vulnerability in Earthquake-Resistant Cities: A Multiple Regression Analysis for Sahinali, Nigde

Forensic Investigations of Geohazards: The Norcia 2016 Earthquake

A Predictive Model on Post-earthquake Infrastructure Damage

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