The Role of Façade Materials in Blast-Resistant Buildings: An Evaluation Based on Fuzzy Delphi and Fuzzy EDAS

Abstract

Blast-resistant buildings are mainly used to protect main instruments, controllers, expensive equipment, and people from explosion waves. Oil and gas industry projects almost always include blast-resistant buildings. For instance, based on a hazard identification (HAZID) and hazard and operability (HAZOP) analysis of a plant, control rooms and substations are sometimes designed to withstand an external free air explosion that generates blast over pressure. In this regard, a building façade is considered to be the first barrier of resistance against explosion waves, and therefore a building façade has an important role in reducing a building’s vulnerability and human casualties. In case of a lack of enough resistance, explosion waves enter a building and bring about irreparable damage to the building. Consequently, it seems important to study and evaluate various materials used in a façade against the consequences of an explosion. This study tried to make a comparison between different types of building facades against explosion waves. The materials used in a building play a key role in the vulnerability of a building. In this research, a literature review and the fuzzy Delphi method were applied to find the most critical criteria, and then a fuzzy evaluation based on the distance from the average solution (EDAS) was applied in order to assess various materials used in building facades from the perspective of resiliency. A questionnaire was presented to measure effective indices in order to receive experts’ ideas. Finally, by implementing this methodology in a case study, it was concluded that a stone façade performs much better against explosions.

A modified EDAS model for comparison of mobile wallet service providers in India

“…The EDAS method have been used by several researchers to evaluate alternatives for solving various problems in both engineering and management domains. For example, researchers have applied EDAS method to solve the issues like supplier selection on environmental dimensions and order allocation (Ghorabaee et al 2017a ), comparison of bank performances (Ghorabaee et al 2017b ), project management (Feng et al 2018 ), comparison of the third-party logistics service providers (Ecer 2018 ), solid waste disposal (Kahraman et al 2017 ; Behzad et al 2020 ), construction management (Stanujkic et al 2017 ; Hasheminasab et al 2019 ), investment decision-making (Karmakar et al 2018 ), personnel selection problem (Stanujkic et al 2018 ), manufacturing performance (Stevic et al 2018 ), comparison of performance of steam boilers (Kundakcı 2019 ), material selection (Chatterjee et al 2018 ), renewable energy management (Asante et al 2020 ), and contractor evaluation (Ghorabaee et al 2018a ). One of the major reasons behind the popularity of the EDAS method is its freedom from the rank reversal problem, which occurs for the TOPSIS algorithm (Ghorabaee et al 2018b ).…”

“…After its proposal, several researchers have contributed to extending the basic framework for the EDAS method over the last five years. The extant literature reveals the applications of a modified and extended framework of the EDAS method using fuzzy sets (Ecer 2018;Hasheminasab et al 2019;Stevic et al 2018), intuitionistic fuzzy sets (Kahraman et al 2017), interval fuzzy sets (Ilieva 2018), dynamic fuzzy sets (Ghorabaee et al 2018a), Interval type 2 fuzzy sets (Ghorabaee et al 2017a(Ghorabaee et al , 2017c, hesitant fuzzy linguistic scale (Feng et al 2018), normally distributed data in a stochastic environment (Ghorabaee et al 2017b), neutrosophic fuzzy linguistic scales (Li et al 2019), interval-valued neutrosophic sets (Karasan and Kahraman 2018a;Karaşan and Kahraman 2018), neutrosophic fuzzy soft set with new similarity measures (Peng and Liu 2017), q-rung orthopair fuzzy sets (Li et al 2020), and interval grey numbers (Stanujkic et al 2017).…”

An integrated approach for fuzzy failure modes and effects analysis using fuzzy AHP and fuzzy MAIRCA

“…Fuzzy numbers often need to be transformed into a crisp number for several purposes, such as comparison, ranking, etc. Such transformation methods are known as de-fuzzification [49]. There are several popular methods available for this purpose, and among them the graded mean average is the most popular one, due to its simple calculation step and robust mathematical foundation, which is represented by Eq.…”

Review on Energy and Fire Performance of Water Wall Systems as a Green Building Façade

“…Moreover, the façade needs to be constructed in a manner that stops parts from collapsing throughout the evacuation and rescue team activities. However, a standard glass façade is more vulnerable to fire spread than a conventional façade made with bricks, stone, or concrete, and can easily break within a matter of minutes [94][95][96] when exposed to fire. This collapse of glass panes introduces a new airflow for fresh air and fire spread outdoors, enabling the phenomenon of flashover or backdraft [97].…”