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首页> 外文学位 >Development of a novel statistical method and procedure for material characterization and a probabilistic approach to assessing the hygrothermal performance of building enclosure assemblies.
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Development of a novel statistical method and procedure for material characterization and a probabilistic approach to assessing the hygrothermal performance of building enclosure assemblies.

机译：开发了一种用于材料表征的新型统计方法和程序，以及一种用于评估建筑围护结构湿热性能的概率方法。

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摘要

In this research, a systematic approach was introduced to establish a high quality and comprehensive material database. The method was applied to a great number of materials in different material categories. The database provides a solid base for hygrothermal simulation and further research.;A method was developed to derive the generic material from the material cluster comprising specific materials with similar characteristics. A novel approach was developed by using the generic material to extrapolate less incomplete material data set to full data set that is suitable for the hygrothermal simulation. The approach extends the material database, and hence enhances the usability of existing hygrothermal simulation tools.;Moisture storage characteristics (i.e., the moisture retention function) are one of the most difficult aspects to measure in developing a high quality database. In this study, a method was developed to simplify the procedure for moisture storage measurement with the aid of statistical analyses. For the building brick and plaster/mortar categories, results show that properly selected three measurements in the overhygroscopic range and one measurement in the hygroscopic range were sufficient to get the knowledge of moisture storage characteristics.;A probabilistic approach based on the Monte Carlo method was developed and incorporated into a current hygrothermal simulation tool, to assess hygrothermal performance of building enclosure assembly against different performance criteria. The uncertainties from different sources, including material properties, boundary coefficients, indoor conditions, dimensions of the material layers, and orientation of the construction, were accounted for. The rank correlations of basic material parameters in different material categories were obtained and incorporated in the Latin hypercube sampling.;The probabilistic approach was then applied to assess the durability, thermal efficiency, and mold growth risk of a retrofitted wall assembly. The most influential input variables against the specific performance criterion were identified by sensitivity analysis.
机译：在这项研究中，引入了系统的方法来建立高质量和全面的材料数据库。该方法已应用于不同材料类别中的大量材料。该数据库为湿热模拟和进一步研究提供了坚实的基础。；开发了一种从包含相似特性的特定材料的材料簇中提取通用材料的方法。通过使用通用材料将不完整的材料数据集外推到适用于湿热模拟的完整数据集，开发了一种新颖的方法。该方法扩展了材料数据库，因此增强了现有湿热模拟工具的可用性。水分存储特性（即水分保持功能）是开发高质量数据库时最难衡量的方面之一。在这项研究中，开发了一种方法来简化借助统计分析进行的水分存储测量的过程。对于建筑用砖和灰泥/砂浆类别，结果表明，适当选择三个在超吸湿范围内的测量值和一个在吸湿范围内的测量值足以了解水分存储特性。；基于蒙特卡洛方法的概率方法是开发并结合到当前的湿热模拟工具中，以根据不同的性能标准评估建筑围护结构的湿热性能。考虑了来自不同来源的不确定性，包括材料属性，边界系数，室内条件，材料层的尺寸以及构造的方向。获得了不同材料类别中基本材料参数的等级相关性，并将其纳入拉丁超立方体采样中。然后，采用概率方法评估了改造后的墙体组件的耐用性，热效率和霉菌生长风险。通过敏感性分析确定了针对特定性能标准的最具影响力的输入变量。

著录项

  • 作者

    Zhao, Jianhua.;

  • 作者单位

    Syracuse University.;

  • 授予单位 Syracuse University.;
  • 学科 Engineering Architectural.;Engineering Mechanical.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 298 p.
  • 总页数 298
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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