...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>The International Journal of Life Cycle Assessment >Service life prediction of residential interior finishes for life cycle assessment
【24h】

Service life prediction of residential interior finishes for life cycle assessment

机译：预测住宅室内装修的使用寿命，以进行生命周期评估

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Purpose Service life of building products has an important influence on life cycle assessment (LCA) results of buildings. The goal of this study was to propose a systematic approach to estimate service life of building products by including both technical and social factors. Methods A hybrid service life prediction method, combining the statistical approach described in American Society for Testing and Materials standard G166 with the Factor Method adopted by International Organization for Standardization standard 15686, was proposed. In their current forms, the two methods are not suitable to provide reliable lifetime estimates for the wide variety of products that are used in buildings. Statistical analysis was preferred over a deterministic approach. Regression analysis was used to define Weibull distribution parameters for each product. These distributions were then used to calculate the mean estimated service life of products with an 80% confidence interval. Using actual lifetime observed from practice instead of design lifetime for reference service life was preferred. This enables the use of a smaller range of coefficients for each factor affecting service life, which decreases subjectivity and increases reliability of results. Results and discussion Example median service life estimates were demonstrated for common residential interior finishes that are replaced more frequently, and therefore require more maintenance planning and potentially have significant environmental impacts. Probability of renovation distributions was also presented for interior finishes. The proposed method inherently includes social factors in the dataset used to define lifetime distributions, which could be as important as durability for some building product categories. Another advantage is that choosing reference service life based on real-life conditions decreases the range of coefficients necessary for modifying factors in comparison to when design lifetime is used, thus decreasing the subjectivity of results due to variations in assigned values by different users. Conclusions The Factor Method is the most promising method available to estimate service life of products. Unless additional data points were gathered for investigated products, the presented lifetime distribution results can be directly applied to LCA studies. The proposed hybrid method can also be applied to other products that are studied within the Factor Method. Products whose lifetimes are influenced by social factors are prime candidates to apply this method.
机译：目的建筑产品的使用寿命对建筑的生命周期评估（LCA）结果有重要影响。这项研究的目的是提出一种系统方法，通过同时考虑技术和社会因素来估算建筑产品的使用寿命。方法提出了一种混合使用寿命预测方法，将美国测试和材料学会标准G166中描述的统计方法与国际标准化组织标准15686中采用的因子方法相结合。以目前的形式，这两种方法都不适合为建筑物中使用的多种产品提供可靠的使用寿命估算。统计分析优于确定性方法。回归分析用于定义每种产品的威布尔分布参数。然后使用这些分布来计算置信区间为80％的产品的平均估计使用寿命。最好使用从实践中观察到的实际寿命而不是设计寿命作为参考使用寿命。这样就可以对影响使用寿命的每个因素使用较小范围的系数，从而降低主观性并提高结果的可靠性。结果与讨论演示了常见住宅内部装修的示例中位数使用寿命估计值，这些装修需要更频繁地更换，因此需要更多的维护计划，并可能对环境造成重大影响。还介绍了室内装修的装修可能性。所提出的方法固有地在用于定义寿命分布的数据集中包括社会因素，这对于某些建筑产品类别而言与耐久性一样重要。另一个优点是，与使用设计寿命时相比，根据实际条件选择参考使用寿命会减少修改因素所需的系数范围，从而由于不同用户分配的值而导致结果的主观性降低。结论因子法是估计产品使用寿命最可行的方法。除非针对被调查产品收集了其他数据点，否则所提供的寿命分布结果可以直接应用于LCA研究。提出的混合方法也可以应用于在因子方法内研究的其他产品。使用寿命受社会因素影响的产品是应用此方法的主要候选人。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号