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Investigating Factors Affecting Material Selection: The Impacts on Green Vernacular Building Materials in the Design-Decision Making Process

机译:影响材料选择的调查因素:设计决策过程中对绿色本土建筑材料的影响

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Material selection is a complex and delicate task determined by the immense number of building material options. Likewise, multiple factors are often considered by the architect when evaluating the various categories of building materials. As a result, these sets of factors or variables often present tradeoffs that make the decision process even more complex. To ease the material-selection process, this article examines one aspect of the research objectives: the relevant factors or variables needed to develop a systematic and efficient material-selection system. Through the analysis of frequency data and results of a pilot study, it identifies some of the potential factors that will impact architects decisions in their choice of green vernacular building materials, during the design-decision making process. The application of the criteria for the quantitative evaluation and selection of the best alternative building material, using the Analytic Hierarchy Process (AHP) model, are discussed. The aim is to develop a multi-factorial analytical decision support toolkit to assist architects assess their consequences in terms of whether or not the material option is likely to move towards sustainability objectives. An example is included to illustrate the AHP approach. The argument is advanced that the explicit incorporation of sustainability in the material selection process requires the assessment of the social, economic, technical, sensorial and environmental consequences of potential material options.
机译:材料的选择是一项复杂而微妙的任务,取决于大量的建筑材料选择。同样,建筑师在评估各种类型的建筑材料时通常会考虑多个因素。结果,这些因素或变量集通常会带来权衡取舍,使决策过程变得更加复杂。为了简化材料选择过程,本文考察了研究目标的一个方面:开发系统有效的材料选择系统所需的相关因素或变量。通过对频率数据的分析和初步研究的结果,它确定了在设计决策过程中会影响建筑师选择绿色本土建筑材料的建筑师的某些潜在因素。讨论了使用层次分析法(AHP)模型对最佳替代建筑材料进行定量评估和选择的标准的应用。目的是开发一种多因素分析决策支持工具包,以帮助建筑师根据材料选择是否有可能朝着可持续发展目标评估其后果。包含一个示例来说明AHP方法。有观点认为,在材料选择过程中明确纳入可持续性要求对潜在材料选择的社会,经济,技术,感官和环境后果进行评估。

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