桥(图论)
判断
多样性(控制论)
绩效指标
成本超支
风险分析(工程)
弹性(材料科学)
私营部门
计算机科学
业务
工程类
过程管理
经济
建筑工程
营销
医学
物理
建筑业
人工智能
经济增长
政治学
内科学
法学
热力学
作者
Alfred Strauß,André Orcesi,Ανδρέας Λαμπρόπουλος,Bruno Briseghella,Dan M. Frangopol,Hélder S. Sousa,Joan R. Casas,José C. Matos,Kristian Schellenberg,Matías A. Valenzuela,Mitsuyoshi Akiyama,Poul Linneberg,Rade Hajdin,Thomas Moser
标识
DOI:10.1080/10168664.2022.2154731
摘要
Infrastructure systems, such as bridges, are a driver for the economic growth and sustainable development of countries. Similarly, the development of operation and maintenance strategies for infrastructure systems may aim at optimal management using Key Performance Indicators (KPIs) such as reliability, redundancy, availability, safety, economy, environmental performance and resilience. Recent research and development projects, such as COST TU1406, highlight that infrastructure managers make decisions based on a mix of qualitative and quantitative data from various sources paired with models of various levels of complexity as well as expert judgement. Similarly, recent state-of-the-art academia reports on a variety of different decision-making models applicable to the optimal management of infrastructure systems may be used. Within IABSE Commission 5 on Existing Structures, Task Group 5.4 has performed a survey on implemented decision-making models among 23 infrastructure managers from 20 countries. It highlights some similarities in relation to KPIs, condition rating and limit state checks. This has stimulated the standardisation of decision making. The application of risk-based methods, performance prediction and intervention modelling are somewhat more scattered and may call for further research and development as well as training. The need to bridge the gap between implemented decision-making models and research is of paramount importance.
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