Post-earthquake reconstruction: A study on the factors influencing demolition decisions after 2009 L’Aquila earthquake
The evaluation of building reparability after damaging earthquakes is a complex issue, involving factors such as the damage state, residual capacity and post-earthquake safety, initial performance level with respect to design earthquake and repair and retrofit costs. In the post-earthquake reconstru...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Polese, M. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2018transfer abstract |
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| Schlagwörter: |
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| Umfang: |
11 |
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| Übergeordnetes Werk: |
Enthalten in: APPLICATION AND POTENTIAL CLINICAL EFFECTS OF NEW HYPERTENSION GUIDELINES ON INCIDENT CARDIOVASCULAR EVENTS - Park, Duk-Woo ELSEVIER, 2015, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:105 ; year:2018 ; pages:139-149 ; extent:11 |
| Links: |
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| DOI / URN: |
10.1016/j.soildyn.2017.12.007 |
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ELV04148150X |
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| 245 | 1 | 0 | |a Post-earthquake reconstruction: A study on the factors influencing demolition decisions after 2009 L’Aquila earthquake |
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| 520 | |a The evaluation of building reparability after damaging earthquakes is a complex issue, involving factors such as the damage state, residual capacity and post-earthquake safety, initial performance level with respect to design earthquake and repair and retrofit costs. In the post-earthquake reconstruction process after the 2009L’Aquila earthquake, the funding request had to be accompanied by a detailed assessment of repair costs, the pre-earthquake safety level with respect to new building standard (%NBS) and, if needed, by a detailed design of retrofit intervention and costs. The paper examines the database of severely damaged buildings after L’Aquila, collecting information of repair and retrofit costs as well as the final decision on reparability or demolition and reconstruction; 122 out of 472 severely damaged RC buildings were demolished. It illustrates the most important factors influencing demolition decisions for Reinforced Concrete (RC) buildings. A logistic regression is performed to estimate the probability of demolition pdem for building typologies. Considering pre-earthquake information, the construction age is the most influential parameter, with older buildings having a higher pdem. Another significant parameter is %NBS. Considering post-earthquake information, the repair cost is expectedly the most important parameter. It results that pdem can be expressed as a function of construction age, %NBS and repair costs. A case study illustrates the possible application of the results for a town district in Campania Region, southern Italy. | ||
| 520 | |a The evaluation of building reparability after damaging earthquakes is a complex issue, involving factors such as the damage state, residual capacity and post-earthquake safety, initial performance level with respect to design earthquake and repair and retrofit costs. In the post-earthquake reconstruction process after the 2009L’Aquila earthquake, the funding request had to be accompanied by a detailed assessment of repair costs, the pre-earthquake safety level with respect to new building standard (%NBS) and, if needed, by a detailed design of retrofit intervention and costs. The paper examines the database of severely damaged buildings after L’Aquila, collecting information of repair and retrofit costs as well as the final decision on reparability or demolition and reconstruction; 122 out of 472 severely damaged RC buildings were demolished. It illustrates the most important factors influencing demolition decisions for Reinforced Concrete (RC) buildings. A logistic regression is performed to estimate the probability of demolition pdem for building typologies. Considering pre-earthquake information, the construction age is the most influential parameter, with older buildings having a higher pdem. Another significant parameter is %NBS. Considering post-earthquake information, the repair cost is expectedly the most important parameter. It results that pdem can be expressed as a function of construction age, %NBS and repair costs. A case study illustrates the possible application of the results for a town district in Campania Region, southern Italy. | ||
| 650 | 7 | |a Reconstruction |2 Elsevier | |
| 650 | 7 | |a Logistic regression |2 Elsevier | |
| 650 | 7 | |a Costs |2 Elsevier | |
| 650 | 7 | |a Reparability |2 Elsevier | |
| 650 | 7 | |a Reinforced concrete buildings |2 Elsevier | |
| 650 | 7 | |a Demolition probability |2 Elsevier | |
| 700 | 1 | |a Di Ludovico, M. |4 oth | |
| 700 | 1 | |a Prota, A. |4 oth | |
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10.1016/j.soildyn.2017.12.007 doi GBV00000000000080A.pica (DE-627)ELV04148150X (ELSEVIER)S0267-7261(17)30424-4 DE-627 ger DE-627 rakwb eng 630 640 550 630 DE-600 640 DE-600 550 DE-600 610 VZ 600 690 VZ 51.00 bkl 51.32 bkl Polese, M. verfasserin aut Post-earthquake reconstruction: A study on the factors influencing demolition decisions after 2009 L’Aquila earthquake 2018transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The evaluation of building reparability after damaging earthquakes is a complex issue, involving factors such as the damage state, residual capacity and post-earthquake safety, initial performance level with respect to design earthquake and repair and retrofit costs. In the post-earthquake reconstruction process after the 2009L’Aquila earthquake, the funding request had to be accompanied by a detailed assessment of repair costs, the pre-earthquake safety level with respect to new building standard (%NBS) and, if needed, by a detailed design of retrofit intervention and costs. The paper examines the database of severely damaged buildings after L’Aquila, collecting information of repair and retrofit costs as well as the final decision on reparability or demolition and reconstruction; 122 out of 472 severely damaged RC buildings were demolished. It illustrates the most important factors influencing demolition decisions for Reinforced Concrete (RC) buildings. A logistic regression is performed to estimate the probability of demolition pdem for building typologies. Considering pre-earthquake information, the construction age is the most influential parameter, with older buildings having a higher pdem. Another significant parameter is %NBS. Considering post-earthquake information, the repair cost is expectedly the most important parameter. It results that pdem can be expressed as a function of construction age, %NBS and repair costs. A case study illustrates the possible application of the results for a town district in Campania Region, southern Italy. The evaluation of building reparability after damaging earthquakes is a complex issue, involving factors such as the damage state, residual capacity and post-earthquake safety, initial performance level with respect to design earthquake and repair and retrofit costs. In the post-earthquake reconstruction process after the 2009L’Aquila earthquake, the funding request had to be accompanied by a detailed assessment of repair costs, the pre-earthquake safety level with respect to new building standard (%NBS) and, if needed, by a detailed design of retrofit intervention and costs. The paper examines the database of severely damaged buildings after L’Aquila, collecting information of repair and retrofit costs as well as the final decision on reparability or demolition and reconstruction; 122 out of 472 severely damaged RC buildings were demolished. It illustrates the most important factors influencing demolition decisions for Reinforced Concrete (RC) buildings. A logistic regression is performed to estimate the probability of demolition pdem for building typologies. Considering pre-earthquake information, the construction age is the most influential parameter, with older buildings having a higher pdem. Another significant parameter is %NBS. Considering post-earthquake information, the repair cost is expectedly the most important parameter. It results that pdem can be expressed as a function of construction age, %NBS and repair costs. A case study illustrates the possible application of the results for a town district in Campania Region, southern Italy. Reconstruction Elsevier Logistic regression Elsevier Costs Elsevier Reparability Elsevier Reinforced concrete buildings Elsevier Demolition probability Elsevier Di Ludovico, M. oth Prota, A. oth Enthalten in Elsevier Science Park, Duk-Woo ELSEVIER APPLICATION AND POTENTIAL CLINICAL EFFECTS OF NEW HYPERTENSION GUIDELINES ON INCIDENT CARDIOVASCULAR EVENTS 2015 Amsterdam [u.a.] (DE-627)ELV013066021 volume:105 year:2018 pages:139-149 extent:11 https://doi.org/10.1016/j.soildyn.2017.12.007 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_40 51.00 Werkstoffkunde: Allgemeines VZ 51.32 Werkstoffmechanik VZ AR 105 2018 139-149 11 045F 630 |
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10.1016/j.soildyn.2017.12.007 doi GBV00000000000080A.pica (DE-627)ELV04148150X (ELSEVIER)S0267-7261(17)30424-4 DE-627 ger DE-627 rakwb eng 630 640 550 630 DE-600 640 DE-600 550 DE-600 610 VZ 600 690 VZ 51.00 bkl 51.32 bkl Polese, M. verfasserin aut Post-earthquake reconstruction: A study on the factors influencing demolition decisions after 2009 L’Aquila earthquake 2018transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The evaluation of building reparability after damaging earthquakes is a complex issue, involving factors such as the damage state, residual capacity and post-earthquake safety, initial performance level with respect to design earthquake and repair and retrofit costs. In the post-earthquake reconstruction process after the 2009L’Aquila earthquake, the funding request had to be accompanied by a detailed assessment of repair costs, the pre-earthquake safety level with respect to new building standard (%NBS) and, if needed, by a detailed design of retrofit intervention and costs. The paper examines the database of severely damaged buildings after L’Aquila, collecting information of repair and retrofit costs as well as the final decision on reparability or demolition and reconstruction; 122 out of 472 severely damaged RC buildings were demolished. It illustrates the most important factors influencing demolition decisions for Reinforced Concrete (RC) buildings. A logistic regression is performed to estimate the probability of demolition pdem for building typologies. Considering pre-earthquake information, the construction age is the most influential parameter, with older buildings having a higher pdem. Another significant parameter is %NBS. Considering post-earthquake information, the repair cost is expectedly the most important parameter. It results that pdem can be expressed as a function of construction age, %NBS and repair costs. A case study illustrates the possible application of the results for a town district in Campania Region, southern Italy. The evaluation of building reparability after damaging earthquakes is a complex issue, involving factors such as the damage state, residual capacity and post-earthquake safety, initial performance level with respect to design earthquake and repair and retrofit costs. In the post-earthquake reconstruction process after the 2009L’Aquila earthquake, the funding request had to be accompanied by a detailed assessment of repair costs, the pre-earthquake safety level with respect to new building standard (%NBS) and, if needed, by a detailed design of retrofit intervention and costs. The paper examines the database of severely damaged buildings after L’Aquila, collecting information of repair and retrofit costs as well as the final decision on reparability or demolition and reconstruction; 122 out of 472 severely damaged RC buildings were demolished. It illustrates the most important factors influencing demolition decisions for Reinforced Concrete (RC) buildings. A logistic regression is performed to estimate the probability of demolition pdem for building typologies. Considering pre-earthquake information, the construction age is the most influential parameter, with older buildings having a higher pdem. Another significant parameter is %NBS. Considering post-earthquake information, the repair cost is expectedly the most important parameter. It results that pdem can be expressed as a function of construction age, %NBS and repair costs. A case study illustrates the possible application of the results for a town district in Campania Region, southern Italy. Reconstruction Elsevier Logistic regression Elsevier Costs Elsevier Reparability Elsevier Reinforced concrete buildings Elsevier Demolition probability Elsevier Di Ludovico, M. oth Prota, A. oth Enthalten in Elsevier Science Park, Duk-Woo ELSEVIER APPLICATION AND POTENTIAL CLINICAL EFFECTS OF NEW HYPERTENSION GUIDELINES ON INCIDENT CARDIOVASCULAR EVENTS 2015 Amsterdam [u.a.] (DE-627)ELV013066021 volume:105 year:2018 pages:139-149 extent:11 https://doi.org/10.1016/j.soildyn.2017.12.007 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_40 51.00 Werkstoffkunde: Allgemeines VZ 51.32 Werkstoffmechanik VZ AR 105 2018 139-149 11 045F 630 |
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10.1016/j.soildyn.2017.12.007 doi GBV00000000000080A.pica (DE-627)ELV04148150X (ELSEVIER)S0267-7261(17)30424-4 DE-627 ger DE-627 rakwb eng 630 640 550 630 DE-600 640 DE-600 550 DE-600 610 VZ 600 690 VZ 51.00 bkl 51.32 bkl Polese, M. verfasserin aut Post-earthquake reconstruction: A study on the factors influencing demolition decisions after 2009 L’Aquila earthquake 2018transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The evaluation of building reparability after damaging earthquakes is a complex issue, involving factors such as the damage state, residual capacity and post-earthquake safety, initial performance level with respect to design earthquake and repair and retrofit costs. In the post-earthquake reconstruction process after the 2009L’Aquila earthquake, the funding request had to be accompanied by a detailed assessment of repair costs, the pre-earthquake safety level with respect to new building standard (%NBS) and, if needed, by a detailed design of retrofit intervention and costs. The paper examines the database of severely damaged buildings after L’Aquila, collecting information of repair and retrofit costs as well as the final decision on reparability or demolition and reconstruction; 122 out of 472 severely damaged RC buildings were demolished. It illustrates the most important factors influencing demolition decisions for Reinforced Concrete (RC) buildings. A logistic regression is performed to estimate the probability of demolition pdem for building typologies. Considering pre-earthquake information, the construction age is the most influential parameter, with older buildings having a higher pdem. Another significant parameter is %NBS. Considering post-earthquake information, the repair cost is expectedly the most important parameter. It results that pdem can be expressed as a function of construction age, %NBS and repair costs. A case study illustrates the possible application of the results for a town district in Campania Region, southern Italy. The evaluation of building reparability after damaging earthquakes is a complex issue, involving factors such as the damage state, residual capacity and post-earthquake safety, initial performance level with respect to design earthquake and repair and retrofit costs. In the post-earthquake reconstruction process after the 2009L’Aquila earthquake, the funding request had to be accompanied by a detailed assessment of repair costs, the pre-earthquake safety level with respect to new building standard (%NBS) and, if needed, by a detailed design of retrofit intervention and costs. The paper examines the database of severely damaged buildings after L’Aquila, collecting information of repair and retrofit costs as well as the final decision on reparability or demolition and reconstruction; 122 out of 472 severely damaged RC buildings were demolished. It illustrates the most important factors influencing demolition decisions for Reinforced Concrete (RC) buildings. A logistic regression is performed to estimate the probability of demolition pdem for building typologies. Considering pre-earthquake information, the construction age is the most influential parameter, with older buildings having a higher pdem. Another significant parameter is %NBS. Considering post-earthquake information, the repair cost is expectedly the most important parameter. It results that pdem can be expressed as a function of construction age, %NBS and repair costs. A case study illustrates the possible application of the results for a town district in Campania Region, southern Italy. Reconstruction Elsevier Logistic regression Elsevier Costs Elsevier Reparability Elsevier Reinforced concrete buildings Elsevier Demolition probability Elsevier Di Ludovico, M. oth Prota, A. oth Enthalten in Elsevier Science Park, Duk-Woo ELSEVIER APPLICATION AND POTENTIAL CLINICAL EFFECTS OF NEW HYPERTENSION GUIDELINES ON INCIDENT CARDIOVASCULAR EVENTS 2015 Amsterdam [u.a.] (DE-627)ELV013066021 volume:105 year:2018 pages:139-149 extent:11 https://doi.org/10.1016/j.soildyn.2017.12.007 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_40 51.00 Werkstoffkunde: Allgemeines VZ 51.32 Werkstoffmechanik VZ AR 105 2018 139-149 11 045F 630 |
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10.1016/j.soildyn.2017.12.007 doi GBV00000000000080A.pica (DE-627)ELV04148150X (ELSEVIER)S0267-7261(17)30424-4 DE-627 ger DE-627 rakwb eng 630 640 550 630 DE-600 640 DE-600 550 DE-600 610 VZ 600 690 VZ 51.00 bkl 51.32 bkl Polese, M. verfasserin aut Post-earthquake reconstruction: A study on the factors influencing demolition decisions after 2009 L’Aquila earthquake 2018transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The evaluation of building reparability after damaging earthquakes is a complex issue, involving factors such as the damage state, residual capacity and post-earthquake safety, initial performance level with respect to design earthquake and repair and retrofit costs. In the post-earthquake reconstruction process after the 2009L’Aquila earthquake, the funding request had to be accompanied by a detailed assessment of repair costs, the pre-earthquake safety level with respect to new building standard (%NBS) and, if needed, by a detailed design of retrofit intervention and costs. The paper examines the database of severely damaged buildings after L’Aquila, collecting information of repair and retrofit costs as well as the final decision on reparability or demolition and reconstruction; 122 out of 472 severely damaged RC buildings were demolished. It illustrates the most important factors influencing demolition decisions for Reinforced Concrete (RC) buildings. A logistic regression is performed to estimate the probability of demolition pdem for building typologies. Considering pre-earthquake information, the construction age is the most influential parameter, with older buildings having a higher pdem. Another significant parameter is %NBS. Considering post-earthquake information, the repair cost is expectedly the most important parameter. It results that pdem can be expressed as a function of construction age, %NBS and repair costs. A case study illustrates the possible application of the results for a town district in Campania Region, southern Italy. The evaluation of building reparability after damaging earthquakes is a complex issue, involving factors such as the damage state, residual capacity and post-earthquake safety, initial performance level with respect to design earthquake and repair and retrofit costs. In the post-earthquake reconstruction process after the 2009L’Aquila earthquake, the funding request had to be accompanied by a detailed assessment of repair costs, the pre-earthquake safety level with respect to new building standard (%NBS) and, if needed, by a detailed design of retrofit intervention and costs. The paper examines the database of severely damaged buildings after L’Aquila, collecting information of repair and retrofit costs as well as the final decision on reparability or demolition and reconstruction; 122 out of 472 severely damaged RC buildings were demolished. It illustrates the most important factors influencing demolition decisions for Reinforced Concrete (RC) buildings. A logistic regression is performed to estimate the probability of demolition pdem for building typologies. Considering pre-earthquake information, the construction age is the most influential parameter, with older buildings having a higher pdem. Another significant parameter is %NBS. Considering post-earthquake information, the repair cost is expectedly the most important parameter. It results that pdem can be expressed as a function of construction age, %NBS and repair costs. A case study illustrates the possible application of the results for a town district in Campania Region, southern Italy. Reconstruction Elsevier Logistic regression Elsevier Costs Elsevier Reparability Elsevier Reinforced concrete buildings Elsevier Demolition probability Elsevier Di Ludovico, M. oth Prota, A. oth Enthalten in Elsevier Science Park, Duk-Woo ELSEVIER APPLICATION AND POTENTIAL CLINICAL EFFECTS OF NEW HYPERTENSION GUIDELINES ON INCIDENT CARDIOVASCULAR EVENTS 2015 Amsterdam [u.a.] (DE-627)ELV013066021 volume:105 year:2018 pages:139-149 extent:11 https://doi.org/10.1016/j.soildyn.2017.12.007 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_40 51.00 Werkstoffkunde: Allgemeines VZ 51.32 Werkstoffmechanik VZ AR 105 2018 139-149 11 045F 630 |
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10.1016/j.soildyn.2017.12.007 doi GBV00000000000080A.pica (DE-627)ELV04148150X (ELSEVIER)S0267-7261(17)30424-4 DE-627 ger DE-627 rakwb eng 630 640 550 630 DE-600 640 DE-600 550 DE-600 610 VZ 600 690 VZ 51.00 bkl 51.32 bkl Polese, M. verfasserin aut Post-earthquake reconstruction: A study on the factors influencing demolition decisions after 2009 L’Aquila earthquake 2018transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The evaluation of building reparability after damaging earthquakes is a complex issue, involving factors such as the damage state, residual capacity and post-earthquake safety, initial performance level with respect to design earthquake and repair and retrofit costs. In the post-earthquake reconstruction process after the 2009L’Aquila earthquake, the funding request had to be accompanied by a detailed assessment of repair costs, the pre-earthquake safety level with respect to new building standard (%NBS) and, if needed, by a detailed design of retrofit intervention and costs. The paper examines the database of severely damaged buildings after L’Aquila, collecting information of repair and retrofit costs as well as the final decision on reparability or demolition and reconstruction; 122 out of 472 severely damaged RC buildings were demolished. It illustrates the most important factors influencing demolition decisions for Reinforced Concrete (RC) buildings. A logistic regression is performed to estimate the probability of demolition pdem for building typologies. Considering pre-earthquake information, the construction age is the most influential parameter, with older buildings having a higher pdem. Another significant parameter is %NBS. Considering post-earthquake information, the repair cost is expectedly the most important parameter. It results that pdem can be expressed as a function of construction age, %NBS and repair costs. A case study illustrates the possible application of the results for a town district in Campania Region, southern Italy. The evaluation of building reparability after damaging earthquakes is a complex issue, involving factors such as the damage state, residual capacity and post-earthquake safety, initial performance level with respect to design earthquake and repair and retrofit costs. In the post-earthquake reconstruction process after the 2009L’Aquila earthquake, the funding request had to be accompanied by a detailed assessment of repair costs, the pre-earthquake safety level with respect to new building standard (%NBS) and, if needed, by a detailed design of retrofit intervention and costs. The paper examines the database of severely damaged buildings after L’Aquila, collecting information of repair and retrofit costs as well as the final decision on reparability or demolition and reconstruction; 122 out of 472 severely damaged RC buildings were demolished. It illustrates the most important factors influencing demolition decisions for Reinforced Concrete (RC) buildings. A logistic regression is performed to estimate the probability of demolition pdem for building typologies. Considering pre-earthquake information, the construction age is the most influential parameter, with older buildings having a higher pdem. Another significant parameter is %NBS. Considering post-earthquake information, the repair cost is expectedly the most important parameter. It results that pdem can be expressed as a function of construction age, %NBS and repair costs. A case study illustrates the possible application of the results for a town district in Campania Region, southern Italy. Reconstruction Elsevier Logistic regression Elsevier Costs Elsevier Reparability Elsevier Reinforced concrete buildings Elsevier Demolition probability Elsevier Di Ludovico, M. oth Prota, A. oth Enthalten in Elsevier Science Park, Duk-Woo ELSEVIER APPLICATION AND POTENTIAL CLINICAL EFFECTS OF NEW HYPERTENSION GUIDELINES ON INCIDENT CARDIOVASCULAR EVENTS 2015 Amsterdam [u.a.] (DE-627)ELV013066021 volume:105 year:2018 pages:139-149 extent:11 https://doi.org/10.1016/j.soildyn.2017.12.007 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_40 51.00 Werkstoffkunde: Allgemeines VZ 51.32 Werkstoffmechanik VZ AR 105 2018 139-149 11 045F 630 |
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Post-earthquake reconstruction: A study on the factors influencing demolition decisions after 2009 L’Aquila earthquake |
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The evaluation of building reparability after damaging earthquakes is a complex issue, involving factors such as the damage state, residual capacity and post-earthquake safety, initial performance level with respect to design earthquake and repair and retrofit costs. In the post-earthquake reconstruction process after the 2009L’Aquila earthquake, the funding request had to be accompanied by a detailed assessment of repair costs, the pre-earthquake safety level with respect to new building standard (%NBS) and, if needed, by a detailed design of retrofit intervention and costs. The paper examines the database of severely damaged buildings after L’Aquila, collecting information of repair and retrofit costs as well as the final decision on reparability or demolition and reconstruction; 122 out of 472 severely damaged RC buildings were demolished. It illustrates the most important factors influencing demolition decisions for Reinforced Concrete (RC) buildings. A logistic regression is performed to estimate the probability of demolition pdem for building typologies. Considering pre-earthquake information, the construction age is the most influential parameter, with older buildings having a higher pdem. Another significant parameter is %NBS. Considering post-earthquake information, the repair cost is expectedly the most important parameter. It results that pdem can be expressed as a function of construction age, %NBS and repair costs. A case study illustrates the possible application of the results for a town district in Campania Region, southern Italy. |
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The evaluation of building reparability after damaging earthquakes is a complex issue, involving factors such as the damage state, residual capacity and post-earthquake safety, initial performance level with respect to design earthquake and repair and retrofit costs. In the post-earthquake reconstruction process after the 2009L’Aquila earthquake, the funding request had to be accompanied by a detailed assessment of repair costs, the pre-earthquake safety level with respect to new building standard (%NBS) and, if needed, by a detailed design of retrofit intervention and costs. The paper examines the database of severely damaged buildings after L’Aquila, collecting information of repair and retrofit costs as well as the final decision on reparability or demolition and reconstruction; 122 out of 472 severely damaged RC buildings were demolished. It illustrates the most important factors influencing demolition decisions for Reinforced Concrete (RC) buildings. A logistic regression is performed to estimate the probability of demolition pdem for building typologies. Considering pre-earthquake information, the construction age is the most influential parameter, with older buildings having a higher pdem. Another significant parameter is %NBS. Considering post-earthquake information, the repair cost is expectedly the most important parameter. It results that pdem can be expressed as a function of construction age, %NBS and repair costs. A case study illustrates the possible application of the results for a town district in Campania Region, southern Italy. |
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The evaluation of building reparability after damaging earthquakes is a complex issue, involving factors such as the damage state, residual capacity and post-earthquake safety, initial performance level with respect to design earthquake and repair and retrofit costs. In the post-earthquake reconstruction process after the 2009L’Aquila earthquake, the funding request had to be accompanied by a detailed assessment of repair costs, the pre-earthquake safety level with respect to new building standard (%NBS) and, if needed, by a detailed design of retrofit intervention and costs. The paper examines the database of severely damaged buildings after L’Aquila, collecting information of repair and retrofit costs as well as the final decision on reparability or demolition and reconstruction; 122 out of 472 severely damaged RC buildings were demolished. It illustrates the most important factors influencing demolition decisions for Reinforced Concrete (RC) buildings. A logistic regression is performed to estimate the probability of demolition pdem for building typologies. Considering pre-earthquake information, the construction age is the most influential parameter, with older buildings having a higher pdem. Another significant parameter is %NBS. Considering post-earthquake information, the repair cost is expectedly the most important parameter. It results that pdem can be expressed as a function of construction age, %NBS and repair costs. A case study illustrates the possible application of the results for a town district in Campania Region, southern Italy. |
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Considering post-earthquake information, the repair cost is expectedly the most important parameter. It results that pdem can be expressed as a function of construction age, %NBS and repair costs. A case study illustrates the possible application of the results for a town district in Campania Region, southern Italy.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The evaluation of building reparability after damaging earthquakes is a complex issue, involving factors such as the damage state, residual capacity and post-earthquake safety, initial performance level with respect to design earthquake and repair and retrofit costs. In the post-earthquake reconstruction process after the 2009L’Aquila earthquake, the funding request had to be accompanied by a detailed assessment of repair costs, the pre-earthquake safety level with respect to new building standard (%NBS) and, if needed, by a detailed design of retrofit intervention and costs. The paper examines the database of severely damaged buildings after L’Aquila, collecting information of repair and retrofit costs as well as the final decision on reparability or demolition and reconstruction; 122 out of 472 severely damaged RC buildings were demolished. It illustrates the most important factors influencing demolition decisions for Reinforced Concrete (RC) buildings. A logistic regression is performed to estimate the probability of demolition pdem for building typologies. Considering pre-earthquake information, the construction age is the most influential parameter, with older buildings having a higher pdem. Another significant parameter is %NBS. Considering post-earthquake information, the repair cost is expectedly the most important parameter. It results that pdem can be expressed as a function of construction age, %NBS and repair costs. A case study illustrates the possible application of the results for a town district in Campania Region, southern Italy.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Reconstruction</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Logistic regression</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Costs</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Reparability</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Reinforced concrete buildings</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Demolition probability</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Di Ludovico, M.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Prota, A.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Park, Duk-Woo ELSEVIER</subfield><subfield code="t">APPLICATION AND POTENTIAL CLINICAL EFFECTS OF NEW HYPERTENSION GUIDELINES ON INCIDENT CARDIOVASCULAR EVENTS</subfield><subfield code="d">2015</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV013066021</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:105</subfield><subfield code="g">year:2018</subfield><subfield code="g">pages:139-149</subfield><subfield code="g">extent:11</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.soildyn.2017.12.007</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">51.00</subfield><subfield code="j">Werkstoffkunde: Allgemeines</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">51.32</subfield><subfield code="j">Werkstoffmechanik</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">105</subfield><subfield code="j">2018</subfield><subfield code="h">139-149</subfield><subfield code="g">11</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">630</subfield></datafield></record></collection>
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