Parametric pushover curve model for seismic performance assessment of building stock
Abstract An effective assessment of the seismic risk of building stock is important for informing stakeholders and developing strategies to improve community seismic resilience. To address this need, a parametric pushover curve model for seismic performance assessment of building stock is introduced...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Fazarinc, Neja [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s) 2023 |
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| Übergeordnetes Werk: |
Enthalten in: Bulletin of earthquake engineering - Dordrecht : Springer Science + Business Media B.V., 2003, 22(2023), 3 vom: 02. Dez., Seite 1425-1449 |
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| Übergeordnetes Werk: |
volume:22 ; year:2023 ; number:3 ; day:02 ; month:12 ; pages:1425-1449 |
| Links: |
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| DOI / URN: |
10.1007/s10518-023-01821-9 |
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| Katalog-ID: |
SPR054900484 |
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| 245 | 1 | 0 | |a Parametric pushover curve model for seismic performance assessment of building stock |
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| 520 | |a Abstract An effective assessment of the seismic risk of building stock is important for informing stakeholders and developing strategies to improve community seismic resilience. To address this need, a parametric pushover curve model for seismic performance assessment of building stock is introduced. The model employs twelve parameters for estimating the trilinear pushover curve. The models of these parameters are developed specifically for reinforced concrete and masonry buildings in Slovenia by focusing on the low level of knowledge about the building. Consequently, it can be used for preliminary studies of seismic performance assessment of building stock to raise awareness about seismic risk. To evaluate its efficacy, the model was applied to assess the seismic performance of the University of Ljubljana’s building stock. Because of uncertainties arising from the lack of knowledge about the buildings and the associated assumptions, the results were interpreted relative to those obtained for a new building stock scenario. The case study revealed that the seismic capacity in terms of the limit state peak ground acceleration of the building stock is only half of what would be expected in the new building stock scenario, highlighting a significant seismic risk. These findings emphasise the need for systematic efforts to enhance the seismic safety of the building stock under consideration. Further research is recommended to explore the model's accuracy concerning the level of knowledge about the building, which will contribute to a better understanding of its applicability. | ||
| 650 | 4 | |a Pushover curve |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Parametric model |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Building stock |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Seismic performance assessment |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Building knowledge |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Reinforced concrete buildings |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Masonry buildings |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Babič, Anže |4 aut | |
| 700 | 1 | |a Dolšek, Matjaž |0 (orcid)0000-0003-3564-5135 |4 aut | |
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10.1007/s10518-023-01821-9 doi (DE-627)SPR054900484 (SPR)s10518-023-01821-9-e DE-627 ger DE-627 rakwb eng Fazarinc, Neja verfasserin aut Parametric pushover curve model for seismic performance assessment of building stock 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract An effective assessment of the seismic risk of building stock is important for informing stakeholders and developing strategies to improve community seismic resilience. To address this need, a parametric pushover curve model for seismic performance assessment of building stock is introduced. The model employs twelve parameters for estimating the trilinear pushover curve. The models of these parameters are developed specifically for reinforced concrete and masonry buildings in Slovenia by focusing on the low level of knowledge about the building. Consequently, it can be used for preliminary studies of seismic performance assessment of building stock to raise awareness about seismic risk. To evaluate its efficacy, the model was applied to assess the seismic performance of the University of Ljubljana’s building stock. Because of uncertainties arising from the lack of knowledge about the buildings and the associated assumptions, the results were interpreted relative to those obtained for a new building stock scenario. The case study revealed that the seismic capacity in terms of the limit state peak ground acceleration of the building stock is only half of what would be expected in the new building stock scenario, highlighting a significant seismic risk. These findings emphasise the need for systematic efforts to enhance the seismic safety of the building stock under consideration. Further research is recommended to explore the model's accuracy concerning the level of knowledge about the building, which will contribute to a better understanding of its applicability. Pushover curve (dpeaa)DE-He213 Parametric model (dpeaa)DE-He213 Building stock (dpeaa)DE-He213 Seismic performance assessment (dpeaa)DE-He213 Building knowledge (dpeaa)DE-He213 Reinforced concrete buildings (dpeaa)DE-He213 Masonry buildings (dpeaa)DE-He213 Babič, Anže aut Dolšek, Matjaž (orcid)0000-0003-3564-5135 aut Enthalten in Bulletin of earthquake engineering Dordrecht : Springer Science + Business Media B.V., 2003 22(2023), 3 vom: 02. Dez., Seite 1425-1449 (DE-627)359787797 (DE-600)2098452-2 1573-1456 nnns volume:22 year:2023 number:3 day:02 month:12 pages:1425-1449 https://dx.doi.org/10.1007/s10518-023-01821-9 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 22 2023 3 02 12 1425-1449 |
| spelling |
10.1007/s10518-023-01821-9 doi (DE-627)SPR054900484 (SPR)s10518-023-01821-9-e DE-627 ger DE-627 rakwb eng Fazarinc, Neja verfasserin aut Parametric pushover curve model for seismic performance assessment of building stock 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract An effective assessment of the seismic risk of building stock is important for informing stakeholders and developing strategies to improve community seismic resilience. To address this need, a parametric pushover curve model for seismic performance assessment of building stock is introduced. The model employs twelve parameters for estimating the trilinear pushover curve. The models of these parameters are developed specifically for reinforced concrete and masonry buildings in Slovenia by focusing on the low level of knowledge about the building. Consequently, it can be used for preliminary studies of seismic performance assessment of building stock to raise awareness about seismic risk. To evaluate its efficacy, the model was applied to assess the seismic performance of the University of Ljubljana’s building stock. Because of uncertainties arising from the lack of knowledge about the buildings and the associated assumptions, the results were interpreted relative to those obtained for a new building stock scenario. The case study revealed that the seismic capacity in terms of the limit state peak ground acceleration of the building stock is only half of what would be expected in the new building stock scenario, highlighting a significant seismic risk. These findings emphasise the need for systematic efforts to enhance the seismic safety of the building stock under consideration. Further research is recommended to explore the model's accuracy concerning the level of knowledge about the building, which will contribute to a better understanding of its applicability. Pushover curve (dpeaa)DE-He213 Parametric model (dpeaa)DE-He213 Building stock (dpeaa)DE-He213 Seismic performance assessment (dpeaa)DE-He213 Building knowledge (dpeaa)DE-He213 Reinforced concrete buildings (dpeaa)DE-He213 Masonry buildings (dpeaa)DE-He213 Babič, Anže aut Dolšek, Matjaž (orcid)0000-0003-3564-5135 aut Enthalten in Bulletin of earthquake engineering Dordrecht : Springer Science + Business Media B.V., 2003 22(2023), 3 vom: 02. Dez., Seite 1425-1449 (DE-627)359787797 (DE-600)2098452-2 1573-1456 nnns volume:22 year:2023 number:3 day:02 month:12 pages:1425-1449 https://dx.doi.org/10.1007/s10518-023-01821-9 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 22 2023 3 02 12 1425-1449 |
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10.1007/s10518-023-01821-9 doi (DE-627)SPR054900484 (SPR)s10518-023-01821-9-e DE-627 ger DE-627 rakwb eng Fazarinc, Neja verfasserin aut Parametric pushover curve model for seismic performance assessment of building stock 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract An effective assessment of the seismic risk of building stock is important for informing stakeholders and developing strategies to improve community seismic resilience. To address this need, a parametric pushover curve model for seismic performance assessment of building stock is introduced. The model employs twelve parameters for estimating the trilinear pushover curve. The models of these parameters are developed specifically for reinforced concrete and masonry buildings in Slovenia by focusing on the low level of knowledge about the building. Consequently, it can be used for preliminary studies of seismic performance assessment of building stock to raise awareness about seismic risk. To evaluate its efficacy, the model was applied to assess the seismic performance of the University of Ljubljana’s building stock. Because of uncertainties arising from the lack of knowledge about the buildings and the associated assumptions, the results were interpreted relative to those obtained for a new building stock scenario. The case study revealed that the seismic capacity in terms of the limit state peak ground acceleration of the building stock is only half of what would be expected in the new building stock scenario, highlighting a significant seismic risk. These findings emphasise the need for systematic efforts to enhance the seismic safety of the building stock under consideration. Further research is recommended to explore the model's accuracy concerning the level of knowledge about the building, which will contribute to a better understanding of its applicability. Pushover curve (dpeaa)DE-He213 Parametric model (dpeaa)DE-He213 Building stock (dpeaa)DE-He213 Seismic performance assessment (dpeaa)DE-He213 Building knowledge (dpeaa)DE-He213 Reinforced concrete buildings (dpeaa)DE-He213 Masonry buildings (dpeaa)DE-He213 Babič, Anže aut Dolšek, Matjaž (orcid)0000-0003-3564-5135 aut Enthalten in Bulletin of earthquake engineering Dordrecht : Springer Science + Business Media B.V., 2003 22(2023), 3 vom: 02. Dez., Seite 1425-1449 (DE-627)359787797 (DE-600)2098452-2 1573-1456 nnns volume:22 year:2023 number:3 day:02 month:12 pages:1425-1449 https://dx.doi.org/10.1007/s10518-023-01821-9 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 22 2023 3 02 12 1425-1449 |
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10.1007/s10518-023-01821-9 doi (DE-627)SPR054900484 (SPR)s10518-023-01821-9-e DE-627 ger DE-627 rakwb eng Fazarinc, Neja verfasserin aut Parametric pushover curve model for seismic performance assessment of building stock 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract An effective assessment of the seismic risk of building stock is important for informing stakeholders and developing strategies to improve community seismic resilience. To address this need, a parametric pushover curve model for seismic performance assessment of building stock is introduced. The model employs twelve parameters for estimating the trilinear pushover curve. The models of these parameters are developed specifically for reinforced concrete and masonry buildings in Slovenia by focusing on the low level of knowledge about the building. Consequently, it can be used for preliminary studies of seismic performance assessment of building stock to raise awareness about seismic risk. To evaluate its efficacy, the model was applied to assess the seismic performance of the University of Ljubljana’s building stock. Because of uncertainties arising from the lack of knowledge about the buildings and the associated assumptions, the results were interpreted relative to those obtained for a new building stock scenario. The case study revealed that the seismic capacity in terms of the limit state peak ground acceleration of the building stock is only half of what would be expected in the new building stock scenario, highlighting a significant seismic risk. These findings emphasise the need for systematic efforts to enhance the seismic safety of the building stock under consideration. Further research is recommended to explore the model's accuracy concerning the level of knowledge about the building, which will contribute to a better understanding of its applicability. Pushover curve (dpeaa)DE-He213 Parametric model (dpeaa)DE-He213 Building stock (dpeaa)DE-He213 Seismic performance assessment (dpeaa)DE-He213 Building knowledge (dpeaa)DE-He213 Reinforced concrete buildings (dpeaa)DE-He213 Masonry buildings (dpeaa)DE-He213 Babič, Anže aut Dolšek, Matjaž (orcid)0000-0003-3564-5135 aut Enthalten in Bulletin of earthquake engineering Dordrecht : Springer Science + Business Media B.V., 2003 22(2023), 3 vom: 02. Dez., Seite 1425-1449 (DE-627)359787797 (DE-600)2098452-2 1573-1456 nnns volume:22 year:2023 number:3 day:02 month:12 pages:1425-1449 https://dx.doi.org/10.1007/s10518-023-01821-9 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 22 2023 3 02 12 1425-1449 |
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10.1007/s10518-023-01821-9 doi (DE-627)SPR054900484 (SPR)s10518-023-01821-9-e DE-627 ger DE-627 rakwb eng Fazarinc, Neja verfasserin aut Parametric pushover curve model for seismic performance assessment of building stock 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract An effective assessment of the seismic risk of building stock is important for informing stakeholders and developing strategies to improve community seismic resilience. To address this need, a parametric pushover curve model for seismic performance assessment of building stock is introduced. The model employs twelve parameters for estimating the trilinear pushover curve. The models of these parameters are developed specifically for reinforced concrete and masonry buildings in Slovenia by focusing on the low level of knowledge about the building. Consequently, it can be used for preliminary studies of seismic performance assessment of building stock to raise awareness about seismic risk. To evaluate its efficacy, the model was applied to assess the seismic performance of the University of Ljubljana’s building stock. Because of uncertainties arising from the lack of knowledge about the buildings and the associated assumptions, the results were interpreted relative to those obtained for a new building stock scenario. The case study revealed that the seismic capacity in terms of the limit state peak ground acceleration of the building stock is only half of what would be expected in the new building stock scenario, highlighting a significant seismic risk. These findings emphasise the need for systematic efforts to enhance the seismic safety of the building stock under consideration. Further research is recommended to explore the model's accuracy concerning the level of knowledge about the building, which will contribute to a better understanding of its applicability. Pushover curve (dpeaa)DE-He213 Parametric model (dpeaa)DE-He213 Building stock (dpeaa)DE-He213 Seismic performance assessment (dpeaa)DE-He213 Building knowledge (dpeaa)DE-He213 Reinforced concrete buildings (dpeaa)DE-He213 Masonry buildings (dpeaa)DE-He213 Babič, Anže aut Dolšek, Matjaž (orcid)0000-0003-3564-5135 aut Enthalten in Bulletin of earthquake engineering Dordrecht : Springer Science + Business Media B.V., 2003 22(2023), 3 vom: 02. Dez., Seite 1425-1449 (DE-627)359787797 (DE-600)2098452-2 1573-1456 nnns volume:22 year:2023 number:3 day:02 month:12 pages:1425-1449 https://dx.doi.org/10.1007/s10518-023-01821-9 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 22 2023 3 02 12 1425-1449 |
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Enthalten in Bulletin of earthquake engineering 22(2023), 3 vom: 02. Dez., Seite 1425-1449 volume:22 year:2023 number:3 day:02 month:12 pages:1425-1449 |
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Fazarinc, Neja @@aut@@ Babič, Anže @@aut@@ Dolšek, Matjaž @@aut@@ |
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To address this need, a parametric pushover curve model for seismic performance assessment of building stock is introduced. The model employs twelve parameters for estimating the trilinear pushover curve. The models of these parameters are developed specifically for reinforced concrete and masonry buildings in Slovenia by focusing on the low level of knowledge about the building. Consequently, it can be used for preliminary studies of seismic performance assessment of building stock to raise awareness about seismic risk. To evaluate its efficacy, the model was applied to assess the seismic performance of the University of Ljubljana’s building stock. Because of uncertainties arising from the lack of knowledge about the buildings and the associated assumptions, the results were interpreted relative to those obtained for a new building stock scenario. 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| author |
Fazarinc, Neja |
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Fazarinc, Neja misc Pushover curve misc Parametric model misc Building stock misc Seismic performance assessment misc Building knowledge misc Reinforced concrete buildings misc Masonry buildings Parametric pushover curve model for seismic performance assessment of building stock |
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Parametric pushover curve model for seismic performance assessment of building stock Pushover curve (dpeaa)DE-He213 Parametric model (dpeaa)DE-He213 Building stock (dpeaa)DE-He213 Seismic performance assessment (dpeaa)DE-He213 Building knowledge (dpeaa)DE-He213 Reinforced concrete buildings (dpeaa)DE-He213 Masonry buildings (dpeaa)DE-He213 |
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Parametric pushover curve model for seismic performance assessment of building stock |
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Bulletin of earthquake engineering |
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Fazarinc, Neja Babič, Anže Dolšek, Matjaž |
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Fazarinc, Neja |
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parametric pushover curve model for seismic performance assessment of building stock |
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Parametric pushover curve model for seismic performance assessment of building stock |
| abstract |
Abstract An effective assessment of the seismic risk of building stock is important for informing stakeholders and developing strategies to improve community seismic resilience. To address this need, a parametric pushover curve model for seismic performance assessment of building stock is introduced. The model employs twelve parameters for estimating the trilinear pushover curve. The models of these parameters are developed specifically for reinforced concrete and masonry buildings in Slovenia by focusing on the low level of knowledge about the building. Consequently, it can be used for preliminary studies of seismic performance assessment of building stock to raise awareness about seismic risk. To evaluate its efficacy, the model was applied to assess the seismic performance of the University of Ljubljana’s building stock. Because of uncertainties arising from the lack of knowledge about the buildings and the associated assumptions, the results were interpreted relative to those obtained for a new building stock scenario. The case study revealed that the seismic capacity in terms of the limit state peak ground acceleration of the building stock is only half of what would be expected in the new building stock scenario, highlighting a significant seismic risk. These findings emphasise the need for systematic efforts to enhance the seismic safety of the building stock under consideration. Further research is recommended to explore the model's accuracy concerning the level of knowledge about the building, which will contribute to a better understanding of its applicability. © The Author(s) 2023 |
| abstractGer |
Abstract An effective assessment of the seismic risk of building stock is important for informing stakeholders and developing strategies to improve community seismic resilience. To address this need, a parametric pushover curve model for seismic performance assessment of building stock is introduced. The model employs twelve parameters for estimating the trilinear pushover curve. The models of these parameters are developed specifically for reinforced concrete and masonry buildings in Slovenia by focusing on the low level of knowledge about the building. Consequently, it can be used for preliminary studies of seismic performance assessment of building stock to raise awareness about seismic risk. To evaluate its efficacy, the model was applied to assess the seismic performance of the University of Ljubljana’s building stock. Because of uncertainties arising from the lack of knowledge about the buildings and the associated assumptions, the results were interpreted relative to those obtained for a new building stock scenario. The case study revealed that the seismic capacity in terms of the limit state peak ground acceleration of the building stock is only half of what would be expected in the new building stock scenario, highlighting a significant seismic risk. These findings emphasise the need for systematic efforts to enhance the seismic safety of the building stock under consideration. Further research is recommended to explore the model's accuracy concerning the level of knowledge about the building, which will contribute to a better understanding of its applicability. © The Author(s) 2023 |
| abstract_unstemmed |
Abstract An effective assessment of the seismic risk of building stock is important for informing stakeholders and developing strategies to improve community seismic resilience. To address this need, a parametric pushover curve model for seismic performance assessment of building stock is introduced. The model employs twelve parameters for estimating the trilinear pushover curve. The models of these parameters are developed specifically for reinforced concrete and masonry buildings in Slovenia by focusing on the low level of knowledge about the building. Consequently, it can be used for preliminary studies of seismic performance assessment of building stock to raise awareness about seismic risk. To evaluate its efficacy, the model was applied to assess the seismic performance of the University of Ljubljana’s building stock. Because of uncertainties arising from the lack of knowledge about the buildings and the associated assumptions, the results were interpreted relative to those obtained for a new building stock scenario. The case study revealed that the seismic capacity in terms of the limit state peak ground acceleration of the building stock is only half of what would be expected in the new building stock scenario, highlighting a significant seismic risk. These findings emphasise the need for systematic efforts to enhance the seismic safety of the building stock under consideration. Further research is recommended to explore the model's accuracy concerning the level of knowledge about the building, which will contribute to a better understanding of its applicability. © The Author(s) 2023 |
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| title_short |
Parametric pushover curve model for seismic performance assessment of building stock |
| url |
https://dx.doi.org/10.1007/s10518-023-01821-9 |
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true |
| author2 |
Babič, Anže Dolšek, Matjaž |
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Babič, Anže Dolšek, Matjaž |
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| doi_str |
10.1007/s10518-023-01821-9 |
| up_date |
2024-07-04T03:26:29.177Z |
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1803617398082764800 |
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| score |
7.4007006 |