Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Improved Rapid Visual Earthquake Hazard Safety Evaluation of Existing Buildings Using Type-2 Fuzzy Logic Model

Version 1 : Received: 12 March 2020 / Approved: 15 March 2020 / Online: 15 March 2020 (01:54:35 CET)

A peer-reviewed article of this Preprint also exists.

Harirchian, E.; Lahmer, T. Improved Rapid Visual Earthquake Hazard Safety Evaluation of Existing Buildings Using a Type-2 Fuzzy Logic Model. Appl. Sci. 2020, 10, 2375. Harirchian, E.; Lahmer, T. Improved Rapid Visual Earthquake Hazard Safety Evaluation of Existing Buildings Using a Type-2 Fuzzy Logic Model. Appl. Sci. 2020, 10, 2375.

Journal reference: Appl. Sci. 2020, 10, 2375
DOI: 10.3390/app10072375

Abstract

Rapid Visual Screening (RVS) is a procedure that estimates structural scores for buildings and prioritize their retrofit and upgrade requirements. Despite the speed and simplicity of RVS, many of the collected parameters are non-commensurable and include subjectivity due to visual observations. It might cause uncertainties in the evaluation, which emphasizes the use of a fuzzy-based method. This study aims to propose a novel RVS methodology based on the interval type-2 fuzzy logic system (IT2FLS) to set the priority of vulnerable building to undergo detailed assessment while covering uncertainties and minimizing their effects during evaluation. The proposed method estimates the vulnerability of a building, in terms of Visual Damage Index, considering the number of stories, age of building, plan irregularity, vertical irregularity, building quality, and peak ground velocity, as inputs with a single output variable. Applicability of the proposed method has been investigated using a post-earthquake damage database of 28 reinforced concrete buildings from the Bingöl earthquake in Turkey.

Subject Areas

seismic vulnerability; fuzzy logic system; Interval Type-2 Fuzzy logic; retrofit prioritization; damage category classification

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