Review and characterization of the 2014 Orkney damage datasets for damage pattern mapping and fragility curve construction
The 2014 Orkney earthquake caused significant damage to unreinforced masonry buildings in the surrounding townships. After the earthquake, field surveys were conducted to assess the extent of damage in the affected areas. This study reviews data collected from the 2014 Orkney earthquake to investiga...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Built Environment |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fbuil.2024.1524618/full |
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| author | Thando Nqasha Mulemwa Akombelwa Mayshree Singh Andrzej Kijko |
| author_facet | Thando Nqasha Mulemwa Akombelwa Mayshree Singh Andrzej Kijko |
| author_sort | Thando Nqasha |
| collection | DOAJ |
| description | The 2014 Orkney earthquake caused significant damage to unreinforced masonry buildings in the surrounding townships. After the earthquake, field surveys were conducted to assess the extent of damage in the affected areas. This study reviews data collected from the 2014 Orkney earthquake to investigate damage patterns, evaluate building safety for occupancy, and support fragility curve construction. Damage was quantified based on the European Macroseismic Scale (EMS-98) to assess building safety and conduct regression analysis. The results indicate that the collected data is suitable for investigating damage patterns and determining building safety for occupancy. However, it is not suitable for constructing fragility curves. Empirical fragility curves are typically developed using logistic regression, but this study found the data unsuitable for regression analysis due to sampling errors and limited data quantity. This study recommends the use of first-order approximation methods to supplement the dataset, reducing sampling errors and increasing data quantity. |
| format | Article |
| id | doaj-art-047d0a3312094d70a03e019c36e2dfa3 |
| institution | Kabale University |
| issn | 2297-3362 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Built Environment |
| spelling | doaj-art-047d0a3312094d70a03e019c36e2dfa32025-01-07T06:40:34ZengFrontiers Media S.A.Frontiers in Built Environment2297-33622025-01-011010.3389/fbuil.2024.15246181524618Review and characterization of the 2014 Orkney damage datasets for damage pattern mapping and fragility curve constructionThando Nqasha0Mulemwa Akombelwa1Mayshree Singh2Andrzej Kijko3School of Civil Engineering, Surveying and Construction, University of KwaZulu Natal, Durban, South AfricaSchool of Civil Engineering, Surveying and Construction, University of KwaZulu Natal, Durban, South AfricaSchool of Civil Engineering, Surveying and Construction, University of KwaZulu Natal, Durban, South AfricaNatural Hazard Centre, Pretoria University, Pretoria, South AfricaThe 2014 Orkney earthquake caused significant damage to unreinforced masonry buildings in the surrounding townships. After the earthquake, field surveys were conducted to assess the extent of damage in the affected areas. This study reviews data collected from the 2014 Orkney earthquake to investigate damage patterns, evaluate building safety for occupancy, and support fragility curve construction. Damage was quantified based on the European Macroseismic Scale (EMS-98) to assess building safety and conduct regression analysis. The results indicate that the collected data is suitable for investigating damage patterns and determining building safety for occupancy. However, it is not suitable for constructing fragility curves. Empirical fragility curves are typically developed using logistic regression, but this study found the data unsuitable for regression analysis due to sampling errors and limited data quantity. This study recommends the use of first-order approximation methods to supplement the dataset, reducing sampling errors and increasing data quantity.https://www.frontiersin.org/articles/10.3389/fbuil.2024.1524618/fullseismic vulnerability assessment2014 Orkney earthquakeearthquake damageunreinforced masonry buildingsfragility curvesSouth Africa |
| spellingShingle | Thando Nqasha Mulemwa Akombelwa Mayshree Singh Andrzej Kijko Review and characterization of the 2014 Orkney damage datasets for damage pattern mapping and fragility curve construction Frontiers in Built Environment seismic vulnerability assessment 2014 Orkney earthquake earthquake damage unreinforced masonry buildings fragility curves South Africa |
| title | Review and characterization of the 2014 Orkney damage datasets for damage pattern mapping and fragility curve construction |
| title_full | Review and characterization of the 2014 Orkney damage datasets for damage pattern mapping and fragility curve construction |
| title_fullStr | Review and characterization of the 2014 Orkney damage datasets for damage pattern mapping and fragility curve construction |
| title_full_unstemmed | Review and characterization of the 2014 Orkney damage datasets for damage pattern mapping and fragility curve construction |
| title_short | Review and characterization of the 2014 Orkney damage datasets for damage pattern mapping and fragility curve construction |
| title_sort | review and characterization of the 2014 orkney damage datasets for damage pattern mapping and fragility curve construction |
| topic | seismic vulnerability assessment 2014 Orkney earthquake earthquake damage unreinforced masonry buildings fragility curves South Africa |
| url | https://www.frontiersin.org/articles/10.3389/fbuil.2024.1524618/full |
| work_keys_str_mv | AT thandonqasha reviewandcharacterizationofthe2014orkneydamagedatasetsfordamagepatternmappingandfragilitycurveconstruction AT mulemwaakombelwa reviewandcharacterizationofthe2014orkneydamagedatasetsfordamagepatternmappingandfragilitycurveconstruction AT mayshreesingh reviewandcharacterizationofthe2014orkneydamagedatasetsfordamagepatternmappingandfragilitycurveconstruction AT andrzejkijko reviewandcharacterizationofthe2014orkneydamagedatasetsfordamagepatternmappingandfragilitycurveconstruction |