Multi-criteria performance evaluation of a glass panel system using full-scale experimental data

Name: Multi-criteria performance evaluation of a glass panel system using full-scale experimental data
Author: Ilter, E., Celik, O. C., Ünlü, Gülten Aslıhan

İsim	Multi-criteria performance evaluation of a glass panel system using full-scale experimental data
Yazar	Ilter, E., Celik, O. C., Ünlü, Gülten Aslıhan
Basım Tarihi:	2020-11-01
Basım Yeri	- Taylor & Francis
Konu	Glass panel, Unitized facade, Facade testing, Facade fatigue process, Experimental performance evaluation, Multi-criteria evaluation
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	0003-8628
Kayıt Numarası	d48f4c11-0ca2-4664-b880-17ae4260b63c
Lokasyon	Architecture
Tarih	2020-11-01
Notlar	Facade Testing Institute (FTI) ; Metal Yapi A.S., Istanbul
Örnek Metin	In order to better evaluate the lifetime performance of glass panel facade systems, this study firstly proposes to conduct a full-scale wind resistance, air/water infiltration, and seismic resistance tests. Two specimens were designed, constructed, and tested for this purpose. A fatigue process is also applied to one of the manufactured systems in addition to a standard test procedure. Secondly, data acquired from the experimental part of this work have been used in a multi-criteria performance evaluation process to determine the performance levels of each of the specimens. In the evaluation process, a total of 10 different criteria and 2 alternatives are identified for decision making. Performance indicator data obtained from the detailed calculations using the AHP (Analytic Hierarchy Process), COPRAS (Complex Proportional Assessment) and TOPSIS (The Technique for Order of Preference by Similarity to Ideal Solution) methods are then utilized during the numerical assessment process. The 'criticality level' is defined within the evaluation process and it indicates the percent (%) values of the obtained performance indicators. As a result of the performance evaluations, the AHP and TOPSIS methods gave similar results and could be selected as the preferred methods for the evaluation of such experimental data. Results obtained from the AHP and TOPSIS methods are consistent and easy to interpret when compared to the COPRAS method. Furthermore, in this work, the most critical criterion is found to be the frontal deflections.
DOI	10.1080/00038628.2020.1774861
Cilt	63

Kaynağa git Özyeğin Üniversitesi

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Kaynağa git

Multi-criteria performance evaluation of a glass panel system using full-scale experimental data

Yazar Ilter, E., Celik, O. C., Ünlü, Gülten Aslıhan

Basım Tarihi 2020-11-01

Basım Yeri - Taylor & Francis

Konu Glass panel, Unitized facade, Facade testing, Facade fatigue process, Experimental performance evaluation, Multi-criteria evaluation

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 0003-8628

Kayıt Numarası d48f4c11-0ca2-4664-b880-17ae4260b63c

Lokasyon Architecture

Tarih 2020-11-01

Notlar Facade Testing Institute (FTI) ; Metal Yapi A.S., Istanbul

Örnek Metin In order to better evaluate the lifetime performance of glass panel facade systems, this study firstly proposes to conduct a full-scale wind resistance, air/water infiltration, and seismic resistance tests. Two specimens were designed, constructed, and tested for this purpose. A fatigue process is also applied to one of the manufactured systems in addition to a standard test procedure. Secondly, data acquired from the experimental part of this work have been used in a multi-criteria performance evaluation process to determine the performance levels of each of the specimens. In the evaluation process, a total of 10 different criteria and 2 alternatives are identified for decision making. Performance indicator data obtained from the detailed calculations using the AHP (Analytic Hierarchy Process), COPRAS (Complex Proportional Assessment) and TOPSIS (The Technique for Order of Preference by Similarity to Ideal Solution) methods are then utilized during the numerical assessment process. The 'criticality level' is defined within the evaluation process and it indicates the percent (%) values of the obtained performance indicators. As a result of the performance evaluations, the AHP and TOPSIS methods gave similar results and could be selected as the preferred methods for the evaluation of such experimental data. Results obtained from the AHP and TOPSIS methods are consistent and easy to interpret when compared to the COPRAS method. Furthermore, in this work, the most critical criterion is found to be the frontal deflections.

DOI 10.1080/00038628.2020.1774861

Cilt 63