Comparative Analysis of Post-Earthquake Damage and Structural Irregularities in RC Buildings: Field Evidence from the 2023 Kahramanmaraş (Türkiye) Earthquakes

The 2023 Kahramanmaraş earthquakes caused unprecedented structural damage across South-Eastern Türkiye, highlighting the critical need for rapid post-disaster assessment and understanding the root causes of failure in reinforced concrete (RC) structures. This study provides a comprehensive comparative analysis of 207 RC buildings located in Adıyaman, Hatay, and Kahramanmaraş. A novel methodological approach was employed by integrating post-earthquake field observations with pre-earthquake digital data obtained via Google Street View to identify structural irregularities and damage patterns. The investigated buildings were classified based on their damage levels, with 11.1% categorized as heavily damaged, 34.3% as to-be-demolished, and 54.6% as collapsed. Significant structural irregularities, including soft stories (ranging from 64.9% to 82.7%), heavy overhangs, and vertical discontinuities, were found to be the primary drivers of severe damage. Furthermore, pounding and short-column effects were identified as the most prevalent damage types across all three provinces. The results demonstrate that pre-existing structural irregularities significantly exacerbated the seismic vulnerability of the RC building stock. This research emphasizes the importance of stringent adherence to design codes and suggests that integrating digital imagery into post-disaster surveys can significantly enhance the accuracy of damage classification for future earthquake resilience.

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Publication Details

Journal
Buildings
Published
2026-03-13
DOI
https://doi.org/10.3390/buildings16061140
Primary Topic
Masonry and Concrete Structural Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Comparative Analysis of Post-Earthquake Damage and Structural Irregularities in RC Buildings: Field Evidence from the 2023 Kahramanmaraş (Türkiye) Earthquakes

Ehsan Harirchian, Ercan Işık, Remzi Karaçam, Marijana Hadzima-Nyarko
Buildings
Masonry and Concrete Structural Analysis
article

Comparative Analysis of Post-Earthquake Damage and Structural Irregularities in RC Buildings: Field Evidence from the 2023 Kahramanmaraş (Türkiye) Earthquakes

Ehsan Harirchian, Ercan Işık, Remzi Karaçam, Marijana Hadzima-Nyarko
article en

Abstract

The 2023 Kahramanmaraş earthquakes caused unprecedented structural damage across South-Eastern Türkiye, highlighting the critical need for rapid post-disaster assessment and understanding the root causes of failure in reinforced concrete (RC) structures. This study provides a comprehensive comparative analysis of 207 RC buildings located in Adıyaman, Hatay, and Kahramanmaraş. A novel methodological approach was employed by integrating post-earthquake field observations with pre-earthquake digital data obtained via Google Street View to identify structural irregularities and damage patterns. The investigated buildings were classified based on their damage levels, with 11.1% categorized as heavily damaged, 34.3% as to-be-demolished, and 54.6% as collapsed. Significant structural irregularities, including soft stories (ranging from 64.9% to 82.7%), heavy overhangs, and vertical discontinuities, were found to be the primary drivers of severe damage. Furthermore, pounding and short-column effects were identified as the most prevalent damage types across all three provinces. The results demonstrate that pre-existing structural irregularities significantly exacerbated the seismic vulnerability of the RC building stock. This research emphasizes the importance of stringent adherence to design codes and suggests that integrating digital imagery into post-disaster surveys can significantly enhance the accuracy of damage classification for future earthquake resilience.

BuildingsVol. 16(6)
Bitlis Eren University (TR), University of Osijek (HR), Bauhaus-Universität Weimar (DE)
European Commission, Erasmus+
Climate action
Openalex Percentile: Top 22%
Masonry and Concrete Structural Analysis
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