风险分析(工程)
概率逻辑
风险管理
风险评估
最佳实践
民用基础设施
康复
业务
工程类
法律工程学
计算机科学
计算机安全
医学
财务
物理疗法
管理
经济
人工智能
标识
DOI:10.1080/15732470412331289341
摘要
Civil infrastructure in the United States is at risk from aging, leading to structural deterioration of bridges, buildings, and other facilities from aggressive chemical attack, corrosion, and other physical mechanisms. Decisions regarding maintenance, rehabilitation and other requirements for continued utilization of a facility should be supported by quantitative evidence that aging has not caused structural strength or stiffness to deteriorate to the point where the capacity of the system to withstand or mitigate future extreme events is impaired. Current codes of practice provide little guidance for the proper evaluation of existing facilities for continued service, since their focus is on new construction. Rehabilitation investments should be aimed at maximizing the likelihood of successful future performance at minimum costs. Probabilistic risk analysis methods can provide quantitative tools for the management of uncertainty in condition assessment and are an essential ingredient of risk-informed management decisions. Such tools are data-intensive and require improved physical models of deterioration processes to realize their full potential in facility risk management.
科研通智能强力驱动
Strongly Powered by AbleSci AI