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

桥梁全生命周期性能优化决策的综合养护-监测-管理框架在本研究中，将开发一个公路桥梁综合养护-监测-管理系统的分析和计算框架。该框架将以一种新颖的方式结合新兴的健康监测技术、时变结构可靠性理论、生命周期成本计算、贝叶斯更新方法、公路交通网络分析和优化。将开发在有无监测数据的情况下预测公路桥梁寿命安全和性能的方法。特别的重点将放在适当的处理各种不确定性有关的负载，环境压力，结构阻力，恶化过程，以及监测和维护活动。不同技术在改善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将被系统地讨论。所提出的综合维护-监测-管理框架将被制定为一个非线性、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。进化计算将执行产生一组帕累托最优权衡解决方案的决策过程。这种新颖的综合框架将应用于单个桥梁的项目级和地理上分布的一组桥梁的网络级，以形成公路网。中国未来持续的经济增长和社会发展与高速公路桥梁等民用基础设施系统的可靠性和耐久性密切相关。公路桥梁基础设施的老化、环境压力的加剧和交通负荷的增加，使其安全性和状态严重恶化。然而，对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所能提供的稀缺资金。因此，桥梁管理系统对于经济有效地分配有限的维护资源以实现令人满意的终身安全和性能至关重要。为此，包括新兴的健康监测技术、创新的保存策略、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，在现有的桥梁管理体系中，目视检查是最广泛采用的量化和评估桥梁状况的做法，这无法反映结构能力的恶化。由于腐蚀、损伤、疲劳等原因导致的结构缺陷检测失败，以及无法真实评估桥梁健康状况，可能会导致不可靠的桥梁管理决策，甚至带来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、原型装置和数据处理算法的开发上。将健康监测和维护系统地整合到民用基础设施的管理中，以获得更可靠的性能预测，这方面的研究很少。本文的研究成果创新性地弥补了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，将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存在于具有当前和长期安全和经济影响的竞争目标之间的权衡。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，该系统应该通过整合更新的桥梁信息和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，拟议的研究有可能显著降低生命周期成本，并通过影响国家民用基础设施的安全、维护和管理，增加建筑环境的寿命。

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.