详情

原文传递 Fuzzy Clustering for Back-Calculation of Pavement Parameters

题名：	Fuzzy Clustering for Back-Calculation of Pavement Parameters
正文语种：	中文
作者：	Chen Jianhua Masood Rasoulian Zhang Zhongjie Huang Lei
作者单位：	omputer Science epartment,Louisiana State university,Baton Rouge,La,70803 Louisiana Transportation Research enter,L epartment of Transportation and evelopment,Baton Rouge,L 70803
关键词：	高速公路公路设计人工智能计算机技术
摘要：	Artificial Intelligence and Fuzzy Sets theories have found a wide range of applications in engineering. In this paper, a fuzzy linear clustering method was applied to estimate the pavement parameters (moduli) from FWD deflection measurements. Back-calculation of pavement moduli is widely used in pavement design and maintenance. In pavement structural condi tion evaluation, surface deflection measurements are taken by using the Falling Weight Deflectometer (FWD test) at a number of locations. From these measurements and the forward model which describes surface deflection as a function of pavement structural parameters (moduli, thickness, etc.), estimation of pavement structure parameter values were "back-calculated". The formulation of the fuzzy clustering method was presented to solve the pavement moduli back-calculation problem. The experimental studies indicate that the fuzzy linear clustering method can achieve reasonably good prediction accuracy for the back-calculation task.
会议日期：	20050625
会议举办地点：	西安
会议名称：	第五届交通运输领域国际学术会议
出版日期：	2005-06-25
母体文献：	第五届交通运输领域国际学术会议论文集
分类号：	U412.366 U412.6