An Integrated Quantitative and Qualitative Life Cycle Cost Assessment Technology for Cost Benefit Evaluation of Bridge Deterioration, Renewal, and Rehabilitation

9713158格里高利桥梁评估数据库对于确定哪些结构对于有限的资金是最关键的是必不可少的。但是，无法对与各种修理程序有关的各种费用进行评估。这样的评估是非常需要的，以协助在为这些结构缺陷的桥梁选择经济智能修复/加强方案的巨大任务。这项研究将有助于制定这种评价。桥梁基础设施修复/加固或更新的成本效益评估的生命周期成本评估技术是基于对桥梁设计和维修方案的技术获取和评估。这项研究是佐治亚理工学院和亚利桑那大学联合进行的。对于建筑行业而言，生命周期成本效益评估将为处理基础设施更新中的复杂决策和评估提供一种全面一致的评估技术。生命周期成本效益评估将使建设和政策制定者节省数百万纳税人和工业资本美元。生命周期成本效益评估的影响将首次提供一种评估技术，用于评估基础设施更新和桥梁建设行业的各种修复替代方案和新兴技术。对于学术界和科学界来说，生命周期研究将推动基于知识的系统的边界。＊＊＊

9713158 Gregory The database of bridge assessment is essential in determining which structures are most critical for limited monies. However, an evaluation which would assess the various costs associated with the various repair procedures is unavailable. Such an evaluation is highly needed to assist in the immense task of selecting economically smart repair/strengthen options available for these structurally deficient bridges. This research will assist in the development of such an evaluation. The life cycle cost assessment technology for cost benefit evaluation of bridge infrastructure rehabilitation/strengthening or renewal is based on technical acquisition and assessment of bridge design and repair options. This research is a joint, integrated effort between Georgia Tech and University of Arizona. For the construction industry, the life cycle cost benefit evaluation will provide a thorough and consistent assessment technology for handling the complex decisions and estimating in infrastructure renewal. The life cycle cost benefit evaluation will allow construction and policy makers to potentially save millions of taxpayers' and industrial capital dollars. The impact of the life cycle cost benefit evaluation will provide, for the first time, an assessment technology to evaluate various repair alternatives and emerging technologies on infrastructure renewal and the bridge construction industry. To the academic and scientific community, the life cycle research will push the bounds of knowledge-based systems. ***