Integrated Maintenance-Monitoring-Management Framework for Optimal Decision Making in Bridge Life-Cycle Performance

用于桥梁生命周期性能优化决策的集成维护-监控-管理框架

• 批准号: 0639428
• 负责人: Dan Frangopol
• 金额: --
• 依托单位: Lehigh University
• 依托单位国家: 美国
• 项目类别: Continuing grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0639428&HistoricalAwards=false
• 关键词: Integrated; Maintenance; Monitoring; Management; Framework

CMS-0509772 --- Abstract Integrated Maintenance-Monitoring-Management Framework for Optimal Decision Making in Bridge Life-Cycle Performance In this proposed research, an analytical and computational framework for integrated maintenance-monitoring-management systems of highway bridges will be developed. This framework will combine in a novel manner emerging health monitoring techniques, time-dependent structural reliability theory, life-cycle costing, Bayesian updating approaches, highway transportation network analysis, and optimization. Methodologies for predicting lifetime safety and performance of highway bridges with and without monitored data will be developed. Particular emphases will be placed on proper treatment of various uncertainties associated with loading, environmental stressors, structural resistances, deterioration processes, and monitoring and maintenance activities. Cost-effectiveness of different techniques in improving the prediction of bridge safety and performance and in improving the quality of subsequent management decisions will be systematically addressed. The proposed integrated maintenance-monitoring-management framework will be formulated as a nonlinear, discrete, combinatorial optimization problem for which multiple and conflicting objectives will be considered. These objectives will address bridge safety and performance as well as long-term economic consequences. Evolutionary computation will be performed to produce a group of Pareto-optimal tradeoff solutions for the decision-making process. The novel integrated framework will be applied at project-level for individual bridges and at network-level for a group of bridges geographically distributed to form highway networks.Future sustained economic growth and social development of the Nation is very much linked to the reliability and durability of its civil infrastructure systems such as highway bridges. The highway bridge infrastructure has been undergoing severe safety and condition deterioration due to gradual aging, aggressive environmental stressors, and increasing traffic loads. Maintenance needs for deteriorating highway bridges, however, have far outpaced available scarce funds that the U.S. federal and state highway agencies can provide. Bridge management systems are thus critical to cost-effectively allocate limited maintenance resources to bridges for achieving satisfactory lifetime safety and performance. To this end, advanced technologies including emerging health monitoring techniques, innovative preservation strategies, improved uncertainty analysis, life-cycle costing methods, and computational optimization all become very important. In existing bridge management systems, however, visual inspections are the most widely adopted practice to quantify and assess bridge conditions, which are unable to reflect the structural capacity deterioration. Failure to detect structural deficiency due to, for example, corrosion, damage, fatigue and inability to faithfully assess real bridge health states may lead to unreliable bridge management decisions and even enormous safety and economic consequences. In addition, most research and practice in civil infrastructure health monitoring have been centered on development of sensing technologies, prototype devises, and data processing algorithms. Little research has been done on systematical integration of health monitoring and maintenance into management of civil infrastructure for more reliable performance prediction. The research efforts proposed will have a significant impact on the evolution of highway bridge infrastructure management by innovatively bridging the apparent gap between the current highway infrastructure management and monitoring research and practice. Using the proposed integrated framework, the entire bridge engineering community will become aware of the tradeoffs existing between competing objectives that have both immediate and long-term safety and economic implications. Therefore, this research will be an important step in forming the necessary basis for the next-generation of bridge management systems, which should produce optimum maintenance solutions by integrating updated bridge information and by considering multiple and conflicting criteria. In addition, the proposed research has the potential to significantly reduce life-cycle costs and to increase the longevity for the built environment by impacting the safety, maintenance, and management of the Nation's civil infrastructure.

CMS-0509772 --- 摘要用于桥梁生命周期性能优化决策的综合维护-监测-管理框架在本项研究中，将开发公路桥梁综合维护-监测-管理系统的分析和计算框架。该框架将以新颖的方式结合新兴的健康监测技术、瞬态结构可靠性理论、生命周期成本计算、贝叶斯更新方法、公路运输网络分析和优化。将开发用于预测有或没有监测数据的公路桥梁的寿命安全和性能的方法。将特别强调妥善处理与载荷、环境压力源、结构阻力、恶化过程以及监测和维护活动相关的各种不确定性。将系统地讨论不同技术在改进桥梁安全和性能预测以及提高后续管理决策质量方面的成本效益。所提出的集成维护-监控-管理框架将被表述为一个非线性、离散、组合优化问题，其中将考虑多个相互冲突的目标。这些目标将解决桥梁的安全和性能以及长期的经济后果。将进行进化计算，为决策过程产生一组帕累托最优权衡解决方案。这种新颖的综合框架将在项目层面应用于单个桥梁，在网络层面应用于地理上分布的一组桥梁，以形成公路网络。国家未来持续的经济增长和社会发展与公路桥梁等民用基础设施系统的可靠性和耐用性密切相关。由于逐渐老化、恶劣的环境压力和不断增加的交通负荷，公路桥梁基础设施的安全和状况正在严重恶化。然而，日益恶化的公路桥梁的维护需求远远超过了美国联邦和州公路机构可以提供的稀缺资金。因此，桥梁管理系统对于经济高效地向桥梁分配有限的维护资源以实现令人满意的使用寿命安全和性能至关重要。为此，包括新兴健康监测技术、创新保存策略、改进的不确定性分析、生命周期成本计算方法和计算优化在内的先进技术都变得非常重要。然而，在现有的桥梁管理系统中，目视检查是最广泛采用的量化和评估桥梁状况的做法，但无法反映结构能力的恶化情况。由于腐蚀、损坏、疲劳等原因而未能检测到结构缺陷以及无法如实评估桥梁的真实健康状态，可能会导致桥梁管理决策不可靠，甚至造成巨大的安全和经济后果。此外，民用基础设施健康监测的大多数研究和实践都集中在传感技术、原型设备和数据处理算法的开发上。关于将健康监测和维护系统地集成到民用基础设施管理中以实现更可靠的性能预测的研究很少。所提出的研究工作将通过创新方式弥合当前公路基础设施管理与监测研究和实践之间的明显差距，对公路桥梁基础设施管理的发展产生重大影响。使用拟议的综合框架，整个桥梁工程界将意识到具有直接和长期安全和经济影响的竞争目标之间存在的权衡。因此，这项研究将是形成下一代桥梁管理系统必要基础的重要一步，该系统应通过集成更新的桥梁信息并考虑多种相互冲突的标准来产生最佳的维护解决方案。此外，拟议的研究有可能通过影响国家民用基础设施的安全、维护和管理来显着降低生命周期成本并延长建筑环境的寿命。