Modeling of resilience based on categorized recovery scenario and improving resilience with viscous damper
In this study, a model for the evaluation of a building's resilience and recovery time is proposed, and a new method is developed for the optimal viscous damper placement for a targeted resilience. The features of this model are as follows: 1) building components are categorized into systems in...
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Published in: | Japan architectural review Vol. 5; no. 3; pp. 279 - 294 |
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Abstract | In this study, a model for the evaluation of a building's resilience and recovery time is proposed, and a new method is developed for the optimal viscous damper placement for a targeted resilience. The features of this model are as follows: 1) building components are categorized into systems in view of their functionality, 2) recovery time is regarded as a function of the damage to building components and human resources for repairing the components, 3) the model is applicable to structural design. This design method uses a type of real‐coded genetic algorithm (GA). The effective use of a constraint on the sum of the added damper damping coefficients enables an efficient search for the solution.
A model for the evaluation of building’s resilience and recovery time is proposed and a new method is developed for optimal viscous damper placement toward targeted resilience. This design method uses a kind of real‐coded GA. The effective use of the constraint on the sum of added damper damping coefficients enables an efficient search for the solution. |
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AbstractList | In this study, a model for the evaluation of a building's resilience and recovery time is proposed, and a new method is developed for the optimal viscous damper placement for a targeted resilience. The features of this model are as follows: 1) building components are categorized into systems in view of their functionality, 2) recovery time is regarded as a function of the damage to building components and human resources for repairing the components, 3) the model is applicable to structural design. This design method uses a type of real‐coded genetic algorithm (GA). The effective use of a constraint on the sum of the added damper damping coefficients enables an efficient search for the solution.
A model for the evaluation of building’s resilience and recovery time is proposed and a new method is developed for optimal viscous damper placement toward targeted resilience. This design method uses a kind of real‐coded GA. The effective use of the constraint on the sum of added damper damping coefficients enables an efficient search for the solution. In this study, a model for the evaluation of a building's resilience and recovery time is proposed, and a new method is developed for the optimal viscous damper placement for a targeted resilience. The features of this model are as follows: 1) building components are categorized into systems in view of their functionality, 2) recovery time is regarded as a function of the damage to building components and human resources for repairing the components, 3) the model is applicable to structural design. This design method uses a type of real‐coded genetic algorithm (GA). The effective use of a constraint on the sum of the added damper damping coefficients enables an efficient search for the solution. Abstract In this study, a model for the evaluation of a building's resilience and recovery time is proposed, and a new method is developed for the optimal viscous damper placement for a targeted resilience. The features of this model are as follows: 1) building components are categorized into systems in view of their functionality, 2) recovery time is regarded as a function of the damage to building components and human resources for repairing the components, 3) the model is applicable to structural design. This design method uses a type of real‐coded genetic algorithm (GA). The effective use of a constraint on the sum of the added damper damping coefficients enables an efficient search for the solution. |
Author | Akehashi, Hiroki Takewaki, Izuru |
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Cites_doi | 10.1080/23789689.2016.1254999 10.1016/j.ijdrr.2018.11.017 10.1080/15732470802663847 10.1002/eqe.458 10.1193/1.1586180 10.1007/s00158-004-0441-9 10.1002/eqe.2292 10.1193/1.2191017 10.1061/(ASCE)0733-9445(1992)118:5(1375) 10.1111/j.1467-8667.2007.00485.x 10.3389/fbuil.2019.00020 10.69554/UNUE6649 10.1002/9780470824931 10.1061/(ASCE)0733-9399(2004)130:4(401) 10.1016/j.soildyn.2019.105987 10.1016/j.engstruct.2005.07.006 10.1002/(SICI)1096-9845(199711)26:11<1113::AID-EQE696>3.0.CO;2-X 10.1002/eqe.132 10.1016/j.engstruct.2018.06.093 10.4018/978-1-4666-2029-2 10.1080/13632460601034155 10.1016/j.soildyn.2018.12.024 10.1016/j.engstruct.2006.04.016 |
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Notes | (Transactions of AIJ). This paper is based on the translation of the Japanese version with some slight modifications. https://doi.org/10.3130/aijs.86.577 Journal of Structural and Construction Engineering The Japanese version of this paper was published in Volume 86, Number 782, pages 577–588 (Transactions of AIJ). The authors have obtained permission for secondary publication of the English version in another journal from the Editor of of the |
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References | 2019; 5 2011; 1 2012 2002; 31 2004; 28 1997; 26 2019; 34 2013; 42 2009 1993 2007; 11 1993; 2 1999 2007; 29 2016; 1 2018; 173 2020; 130 2006; 22 2004; 130 2006; 28 1992; 118 2018 2001; 17 2019; 118 2007; 22 2012; 5 2006; 2040 2010; 6 2005; 34 1989 Fonseca CM (e_1_2_9_31_1) 1993 Arfiadi Y (e_1_2_9_23_1) 2011; 1 e_1_2_9_11_1 e_1_2_9_10_1 e_1_2_9_13_1 e_1_2_9_12_1 Porter K (e_1_2_9_2_1) 2012; 5 Goldberg DE (e_1_2_9_27_1) 1989 Eshelman LJ (e_1_2_9_28_1) 1993 e_1_2_9_15_1 e_1_2_9_14_1 e_1_2_9_17_1 e_1_2_9_16_1 Beck JL (e_1_2_9_29_1) 1999 e_1_2_9_19_1 e_1_2_9_18_1 e_1_2_9_20_1 e_1_2_9_22_1 e_1_2_9_21_1 e_1_2_9_24_1 e_1_2_9_8_1 FEMA (e_1_2_9_30_1) 2018 e_1_2_9_7_1 e_1_2_9_6_1 e_1_2_9_5_1 e_1_2_9_4_1 Bruneau M (e_1_2_9_3_1) 2006 e_1_2_9_9_1 e_1_2_9_26_1 e_1_2_9_25_1 |
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Snippet | In this study, a model for the evaluation of a building's resilience and recovery time is proposed, and a new method is developed for the optimal viscous... Abstract In this study, a model for the evaluation of a building's resilience and recovery time is proposed, and a new method is developed for the optimal... |
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SubjectTerms | Building components Buildings Design techniques Earthquakes facility Genetic algorithms Human resources Infrastructure Integer programming multi‐objective optimization Optimization techniques Power supply real‐coded genetic algorithm Recovery time Resilience Structural design viscous damper Viscous damping |
Title | Modeling of resilience based on categorized recovery scenario and improving resilience with viscous damper |
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