Analyses, Simulations, and Physical Modeling Validation of Levee and Embankment Erosion

Chen, Zhongxian; Stuetzle, Christopher S.; Cutler, Barbara; Gross, Jared; Franklin, W. Randolph; Zimmie, Thomas F.

doi:10.1061/41165(397)154

Cited by 7 publications

(6 citation statements)

References 19 publications

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“…6) Levee erosion was simulated, taking permeability into account. For each of the simulations approximately 450,000 water and 2,500,000 soil particles were introduced (Chen et al, 2011). The erosion rate in the simulation, "Z", (mm/hr) is modeled by using Eq.…”

Section: Fig 5 Physical Saturation Tests Using Soil and Clay Mixturementioning

confidence: 99%

Computer Simulation of Levee Erosion and Overtopping

Kamalzare

Han

McMullan³

et al. 2013

Geo-Congress 2013

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Improved computer models of erosion have been developed, considering soil hydraulic conductivity. The models deal with erosion of levees, dams and embankments due to overtopping. The simulations trace the formation of rills and gullies, beginning with initial overtopping and continuing to final breaching. Physical models performed at "1-g" and high "g" using a geotechnical centrifuge have been used to calibrate the models. Previous models did not consider soil hydraulic conductivity, and although results were quite good for the formation of rills and gullies and sediment quantities, breach times were underestimated. Essentially the water flow was treated as if passing over a solid surface, not entering the soil, and the total water flow was available for erosion. Thus, breach times were underestimated. Soil erodibility parameters had to be adjusted in order to achieve good agreement with breach times. The new models developed consider soil hydraulic conductivity, and produce good agreement with the performance of the physical modeling, including breach times and the use of proper soil erodibility parameters.

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Section: Fig 5 Physical Saturation Tests Using Soil and Clay Mixturementioning

confidence: 99%

Computer Simulation of Levee Erosion and Overtopping

Kamalzare

Han

McMullan³

et al. 2013

Geo-Congress 2013

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“…We performed analogous computer simulations [2] for five different sets of erosion parameters that span the estimates of the soil parameters in our physical laboratory experiments ( Figure 3). We performed two trials for each simulation as an initial investigation of the variance of these simulations and average their results.…”

Section: Experimental Methodologymentioning

confidence: 99%

Quantitative analysis of simulated erosion for different soils

Chen

Stuetzle

Cutler

et al. 2010

Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems

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Rensselaer Polytechnic InstituteTroy, NYLevee overtopping can lead to failure and cause catastrophic damage, as was the case during Hurricane Katrina. We present a computer simulation of erosion to study the development of the rills and gullies that form along an earthen embankment during overtopping. We have coupled 3D Smoothed Particle Hydrodynamics with an erodibility model to produce our simulation. Through comparison between simulations and between simulation and analogous laboratory experiments, we provide quantitative and qualitative results, evaluating the accuracy of our simulation.

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“…Studies focused on highlighting different parts of the dams to be visualized. Such studies include visualization of surface and groundwater features for hydraulic erosion for various types of dams and levees [5], and visualization of geometric surfaces, lithological and hydraulic level properties [6]. Such information visualization has also been performed over web-based platforms to facilitate quick feedback and information dissemination during multi-disciplinary meetings with participants from disparate locations [7].…”

Section: Background Researchmentioning

confidence: 99%

“…Furthermore, they also expressed interest in accessing tail water, pool elevation and reservoir inflow characteristics in a tabular form. Besides that, they also wanted to look at the hydrologic loading data for coincident pools for seismic PMFs, hydrologic loading data for flood events, inflow-volumeduration-frequency curve [1][2][3][4][5][6][7] day computed probability, pool-frequency, and pool-duration curves.…”

Section: Identified Visualization Requirementsmentioning

confidence: 99%

Visualization Requirements of Engineers for Risk Assessment of Embankment Dams

Kasireddy

Ergan²,

Akinci

2014

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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-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 data sets changes based on the disciplinespecific 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. 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. The findings suggest that 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.

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Analyses, Simulations, and Physical Modeling Validation of Levee and Embankment Erosion

Cited by 7 publications

References 19 publications

Computer Simulation of Levee Erosion and Overtopping

Computer Simulation of Levee Erosion and Overtopping

Quantitative analysis of simulated erosion for different soils

Visualization Requirements of Engineers for Risk Assessment of Embankment Dams

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