GIS for Geotechnical Decision Making: Visualization of Cut-Off Wall Construction Data

Rosen, J. B.; Arnold, Marek; Bachus, Robert C.; Schauer, D. A.; Berrios, A.

doi:10.1061/41165(397)298

Cited by 6 publications

(1 citation statement)

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“…In these studies, different data or their consequences can be displayed over the geologic maps. Various applications include (a) modelling of dam performances, such as levee performance and the failure modes and their visualization (Serre et al 2008), (b) flood damage estimations (Qi and Altinakar 2011), and (c) visualization of data required for cut-off wall construction (Rosen et al 2011). GIS have been the primary data visualization medium in the dam safety studies and used to integrate various geodatabases to enable information exchange between such systems (Shumilov and Breunig 2000).…”

Section: Structural Engineersmentioning

confidence: 99%

Visualization requirements of engineers for risk assessment of embankment dams

et al. 2015

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Background: Aging 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. Methods: The 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. Results: This 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.

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Section: Structural Engineersmentioning

confidence: 99%