Visualization requirements of engineers for risk assessment of embankment dams
Visualization requirements of engineers for risk assessment of embankment dams
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DOI：
10.22260/isarc2014/0101
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发表时间：
2015-01
影响因子：
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通讯作者：
Varun Kasireddy;S. Ergan;B. Akinci;Nur Sila Gulgec
中科院分区：
文献类型：
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作者：
Varun Kasireddy;S. Ergan;B. Akinci;Nur Sila Gulgec
背景在过去十年中，美国基础设施老化问题引起了相当多的关注。作为一种关键基础设施，美国的堤坝需要大量投资来升级老化的部分。由于预算有限，通过风险评估了解建筑物随时间的变化对于确定大坝的优先顺序至关重要。在对堤坝进行风险评估时，工程师利用这些结构的设计、施工和运营阶段的当前和历史数据。挑战在于，在风险评估过程中，来自不同学科（例如岩土工程、水力学）的各种工程师聚集在一起，以及他们希望如何根据需要执行的特定学科分析来可视化可用数据集的变化。本研究的目的是了解美国陆军工程兵团 (USACE) 工程师在处理自大坝建立以来积累的大量数据时参与堤坝风险评估的特定学科可视化需求。方法通过三阶段研究方法确定需求，包括采访经常参与风险评估过程的工程师、纸牌游戏和标准审查以及已发表的堤坝风险评估工作。结果本文提供了以下研究结果来自美国陆军工程兵团不同学科的工程师进行的研究。研究结果包括工程师查看大型数据集的特定学科可视化要求，其中包含自大坝建立以来积累的静态数据（例如设计信息）和时间序列数据（例如渗压计数据、纪念碑测量等）。结论研究结果表明，3D 设置中的大坝布局、组件和几何图形的可视化与传感器数据（可以根据工程师特定学科的需求进行查询）和数据分析结果相叠加，为工程师提供了更好的灵活性，以了解水坝的情况。与潜在故障模式相关的风险。
BackgroundAging infrastructure in the US has gained quite a bit of attention in the past decade. Being one type of a critical infrastructure, embankment dams in the US require significant investment to upgrade the deteriorated parts. Due to limited budgets, understanding the behavior of structures over time through risk assessment is essential to prioritize dams. During the risk assessment for embankment dams, engineers utilize current and historical data from the design, construction, and operation phases of these structures. The challenge is that during risk assessment, various engineers from different disciplines (e.g., geotechnical, hydraulics) come together, and how they would like to visualize the available datasets changes based on the discipline-specific analyses they need to perform. The objective of this research study is to understand the discipline-specific visualization needs of engineers from US Army Corps of Engineers (USACE) who are involved in risk assessment of embankment dams when they deal with large set of data accumulated since the inception of dams.MethodsThe requirements were identified through a three-phased research approach including interviews with engineers who are regularly involved in risk assessment processes, a card game and review of standards and published work on risk assessment of embankment dams.ResultsThis paper provides the findings of research conducted with engineers coming from different disciplines within USACE. Findings comprise discipline-specific visualization requirements of engineers for viewing large datasets, containing static data (e.g. design information) and time-series data (e.g. piezometer data, monument measurements etc.), accumulated since the inception of dams.ConclusionsThe findings suggest that the visualization of the dam layout, components and geometry within 3D settings overlaid with sensor data (which could be queried based on engineers’ discipline-specific needs) and data analytics results provide a better flexibility to engineers to understand the risk associated with potential failure modes.