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Multi-criteria performance evaluation of a glass panel system using full-scale experimental data
Architectural Science Review ( IF 1.8 ) Pub Date : 2020-06-22 , DOI: 10.1080/00038628.2020.1774861
Emir Ilter 1 , Oguz C. Celik 2 , Aslihan Unlu 3
Affiliation  

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.

中文翻译:

使用全尺寸实验数据对玻璃面板系统进行多标准性能评估

为了更好地评估玻璃面板立面系统的寿命性能,本研究首先提出进行全面的抗风、空气/水渗透和抗震测试。为此目的设计、建造和测试了两个样本。除了标准测试程序外,疲劳过程也适用于其中一个制造系统。其次,从这项工作的实验部分获得的数据已用于多标准性能评估过程,以确定每个试样的性能水平。在评估过程中,共有 10 个不同的标准和 2 个备选方案被确定用于决策。使用AHP(层次分析法)从详细计算中获得的绩效指标数据,然后在数值评估过程中使用 COPRAS(复杂比例评估)和 TOPSIS(通过与理想解决方案相似的偏好排序技术)方法。“临界水平”是在评估过程中定义的,它表示获得的性能指标的百分比 (%) 值。作为性能评估的结果,AHP 和 TOPSIS 方法给出了相似的结果,可以选择作为评估此类实验数据的首选方法。与 COPRAS 方法相比,从 AHP 和 TOPSIS 方法获得的结果一致且易于解释。此外,在这项工作中,发现最关键的标准是正面偏转。
更新日期:2020-06-22
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