Residential buildings are designed to withstand earthquake damage because it causes the buildings to be in-habitable for a period of time, called the downtime. This paper introduces a method to predict the downtime of buildings using a Fuzzy logic hierarchical scheme. Downtime is divided into three components: downtime due to the actual damage (DT1); downtime due to irrational delays (DT2); and downtime due to utilities disruption (DT3). DT1 is evaluated by relating the damageability of the building's components to pre-defined repair times. A rapid visual screening is proposed to acquire information about the analyzed building. This information is used through a hierarchical scheme to evaluate the building vulnerability, which is combined with a given earthquake intensity to obtain the building damageability. DT2 and DT3 are estimated using the REDi™ Guidelines. DT2 considers irrational components through a specific sequence, which defines the order of components repair, while DT3 depends on the site seismic hazard and on the infrastructure vulnerability. The proposed method allows to estimate downtime combining the three components above, identifying three recovery states: re-oc-cupancy; functional recovery; and full recovery. A case study illustrating the applicability of the methodology is provided in the paper. The downtime analysis is applied to buildings with low and medium damage levels. Results from the case study show that total repair time is higher in the medium damage case, as it is expected. In both evaluations, the downtime is influenced more by irrational components and it is different in the three recovery states.

Downtime estimation of building structures using fuzzy logic / DE IULIIS, Melissa; Kammouh, Omar; Paolo Cimellaro, Gian; Tesfamariam, Solomon. - In: INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION. - ISSN 2212-4209. - 34:(2019), pp. 196-208. [10.1016/j.ijdrr.2018.11.017]

Downtime estimation of building structures using fuzzy logic

Melissa De Iuliis;
2019

Abstract

Residential buildings are designed to withstand earthquake damage because it causes the buildings to be in-habitable for a period of time, called the downtime. This paper introduces a method to predict the downtime of buildings using a Fuzzy logic hierarchical scheme. Downtime is divided into three components: downtime due to the actual damage (DT1); downtime due to irrational delays (DT2); and downtime due to utilities disruption (DT3). DT1 is evaluated by relating the damageability of the building's components to pre-defined repair times. A rapid visual screening is proposed to acquire information about the analyzed building. This information is used through a hierarchical scheme to evaluate the building vulnerability, which is combined with a given earthquake intensity to obtain the building damageability. DT2 and DT3 are estimated using the REDi™ Guidelines. DT2 considers irrational components through a specific sequence, which defines the order of components repair, while DT3 depends on the site seismic hazard and on the infrastructure vulnerability. The proposed method allows to estimate downtime combining the three components above, identifying three recovery states: re-oc-cupancy; functional recovery; and full recovery. A case study illustrating the applicability of the methodology is provided in the paper. The downtime analysis is applied to buildings with low and medium damage levels. Results from the case study show that total repair time is higher in the medium damage case, as it is expected. In both evaluations, the downtime is influenced more by irrational components and it is different in the three recovery states.
2019
Downtime; Restoration; Building structure; Fuzzy logic; Earthquake; resilience
01 Pubblicazione su rivista::01a Articolo in rivista
Downtime estimation of building structures using fuzzy logic / DE IULIIS, Melissa; Kammouh, Omar; Paolo Cimellaro, Gian; Tesfamariam, Solomon. - In: INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION. - ISSN 2212-4209. - 34:(2019), pp. 196-208. [10.1016/j.ijdrr.2018.11.017]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1644548
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