Determining hydraulic conductivity parameters of porous asphalt concrete using Bayesian parameter estimation

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• 作者：Kook-Hwan Cho ; Sungho Mun
• 关键词：hydraulic conductivity ; porous asphalt ; bayesian parameter estimation ; latin hypercube
• 刊名：KSCE Journal of Civil Engineering
• 出版年：2015
• 出版时间：July 2015
• 年：2015
• 卷：19
• 期：5
• 页码：1277-1281
• 全文大小：421 KB
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• 作者单位：Kook-Hwan Cho (1)
  Sungho Mun (2)
  
  1. Dept. of Railway Construction Engineering, Graduate School of Railway, Seoul National University of Science & Technology, Seoul, 139-743, Korea
  2. Dept. of Civil Engineering, Seoul National University of Science & Technology, Seoul, 139-743, Korea
  
• 刊物类别：Engineering
• 刊物主题：Civil Engineering
  Industrial Pollution Prevention
  Automotive and Aerospace Engineering and Traffic
  Geotechnical Engineering
  
• 出版者：Korean Society of Civil Engineers
• ISSN：1976-3808

文摘

We describe a technique to determine the hydraulic conductivity parameters of porous asphalt concrete using Bayesian parameter estimation. Three existing models were employed, and variables were assigned as statistical Bayesian parameters based on the Latin hypercube sampling approach. A thousand samples of randomly generated parameters were sorted, and samples of each variable were selected at stochastic intervals. A sequence of integers for each variable was generated to represent a random permutation of the integers, resulting in a set of sample parameters. Using these parameters, the three models were evaluated based on a comparison between the measured and predicted data. Finally, the appropriate model can be used to perform the stormwater management analysis of urban areas in terms of the probabilistic parameters obtained from the Bayesian updating scheme.