Data quality and uncertainty asssment methodology for pavement LCA 期刊名称： The international journal of pavement engineering
欧体字帖作者： Yu, Bin,Liu, Qiang,Gu, Xingyu
莎士比亚的代表作
作者机构： Southeast Univ
自己做面包年份： 2018年
期号： 第5-6期英国茶
新生儿拍嗝
紫薯可以放多久关键词： Life cycle asssment;data quality;pavement engineering;uncertainty analysis;Monte Carlo simulation;
摘要：In performing pavement life cycle asssment (LCA), urs are facing various reports of energy intensity coefficient (EIC) of pavement materials which differ considerably among data sources and therefore alter the LCA results significantly. Instead of lecting a certain EIC without or of little explanation for the current pavement LCA practices, this study propod a methodology to build proba
bility density function (PDF) for EIC bad on available data-t and their qualities. Each data was first evaluated about the data quality indicator (DQI) through data quality pedigree matrix and converted to PDF in modified Beta distribution form. Three weighting methods, the DQI one, coefficient of variation (COV) one and analytical hierarchy process (AHP) one, were developed to assign weightings for different data. Monte Carlo
一本大学有哪些学校内容由中国教育图书进出口有限公司引进
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