深入研究绿色基础设施故障,使用故障树分析
Mahdi Bahrami1, Bardia Roghani1, Franz Tscheikner-Gratl1
1Norwegian University of Science and Technology (NTNU), Department of Civil and Environmental Engineering, Water and Wastewater Engineering (VA) Group, Trondheim, Norway.
Water research
|May 1, 2024
概括
通过分析垃圾,沉积物和植被问题等常见问题,可以预测绿色基础设施 (GI) 的故障. 这有助于从反应性维护转变为主动性维护,以改善雨水管理.
科学领域:
- 环境工程环境工程
- 城市规划 城市规划
- 土木工程 土木工程是指土木工程.
背景情况:
- 绿色基础设施 (GI) 为城市雨水管理提供了多种好处,但在其生命周期内面临性能退化.
- 目前GI的维护策略在很大程度上是反应性的,无法预测运营问题.
- 有关GI故障的数据非常需要,以建模恶化和实施预测性维护.
研究的目的:
- 调查代表性绿色基础设施类型的潜在故障.
- 识别数据收集的关键事件,以预测胃肠道功能障碍.
- 为转变GI操作向主动维护提供见解.
主要方法:
- 采用使用最小切割集的定性断层树分析 (FTA).
- 断层树被用于生物森林,雨水花园和绿色屋顶.
- 分析的重点是与排水量,质量和额外服务功能相关的故障.
主要成果:
- 影响GI运行的反复出现的基本事件包括"垃圾积累"",沉积物积累导致的堵塞"和"过度密集的植被".
- "不繁荣的植物"",侵入性植物"和"因外部影响而恶化"被确定为干扰多个服务功能的事件.
- 发现植被和过介质层的故障对其他GI成分产生了最显著的影响.
结论:
- 识别的基本事件和断层树可以为计算GI故障率的数据收集提供信息.
- 这项研究支持绿色基础设施从反应性向主动性运营和维护的转变.
- 结合故障数据的预测性维护方案可以提高绿色基础设施的长期性能.
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