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原文传递 Optimal Condition Sampling of Infrastructure Networks.

题名：	Optimal Condition Sampling of Infrastructure Networks.
作者：	R. G. Mishalani; P. Goel;
关键词：	rehabilitation,maintenance;inspection, risk assessment, condition sampling, decision making, economic evaluation;
摘要：	Transportation infrastructure systems consist of spatially extensive and long-lived sets of interconnected facilities. Over the past two decades, several new non-destructive inspection technologies have been developed and applied in collecting raw condition data and processing them to produce useful condition input to infrastructure inspection, maintenance, and rehabilitation (IM&R) decision-making aimed at minimizing total expected life-cycle cost. In response to the developments in inspection technologies, decision-making methods evolved whereby the optimum combination of inspection decisions on the one hand and maintenance and rehabilitation decisions on the other are determined based on an economic evaluation that captures the long-term costs and benefits. Recently, sample size has been included in IM&R decision-making as a decision variable when considering a single facility. While, the question of dealing with a network of facilities in making maintenance and rehabilitation decisions has been addressed in the literature, this treatment does not consider condition sampling whereby each facility could require a different set of sample sizes over time. Doing so is valuable given the network nature of facilities that most infrastructure agencies are responsible for, the increasing number of inspection technology choices with possible varying degrees of accuracy and cost, and budget constraints agencies have to work within. During this reporting period (year 1 of a 2-year project) a methodology was developed to address the extension of the single facility level problem to the network level whereby the uncertainty due to condition sampling is captured and its related decision variables included in the IM&R decision-making process. More specifically, four activities were completed and a fourth was begun. / Supplementary Notes: Sponsored by Purdue Univ., West Lafayette, IN. Region V Univ. Transportation Center, Nextrans. / Availability Note: Product reproduced from digital image. Order this product from NTIS by: phone at 1-800-553-NTIS (U.S. customers); (703)605-6000 (other countries); fax at (703)605-6900; and email at orders@ntis.gov. NTIS is located at 5301 Shawnee Road, Alexandria, VA, 22312, USA. / NTIS Prices: PC A03/MF A03 / NTIS In-house Control Codes: dotfha;12111,1101
报告类型：	科技报告