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15 results on '"Dike stability"'

1. Experimental study on wave attenuation and stability of ecological dike system composed of submerged breakwater, mangrove, and dike under storm surge.

Author

Peng, Ming, Zhang, Jingliang, Zhu, Yan, Gao, Liang, Li, Shuang, and Pan, Xinyu

Subjects
*STORM surges, *WATER depth, *BREAKWATERS, *ECOSYSTEMS, *MANGROVE plants, *SEA-walls
Abstract

• Laboratory experiments were conducted on dike stability under various configurations. • The submerged breakwater induced inconspicuous improvement in dike stability. • Wave impact primarily induced dike failure at high water elevation. • The superposition of structures in mitigating storm surges was not entirely positive. Four tests were conducted to investigate the wave attenuation and dike stability effectiveness of a basic dike, a dike that combined with the submerged breakwater, with mangrove, and with both submerged breakwater and mangrove. Wave variation, hydrodynamic responses (wave scour, wave pressure, pore pressure), and dike stability were investigated. It was found that the submerged breakwater effectively reduced wave height and wave pressure in small wave conditions. However, the dike stability was not improved due to the balance between the positive effect of wave attenuation and the negative effect of water elevation increase in large wave conditions. The mangrove's wave attenuation effects were remarkable at both small and large wave conditions, leading to smaller hydrodynamic responses and ultimately contributing to a significant improvement in the dike stability. The combination of submerged breakwater and mangrove induced the best wave attenuation effect in shallow water with the smallest hydrodynamic responses. However, the presence of submerged breakwater amplified water elevation and significant wave height in deep water conditions, inducing stronger wave impact and more intense wave scour, ultimately resulting in the weaker stability of the dike. [ABSTRACT FROM AUTHOR]

Published
2024
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2. Simulation of overtopping and seepage induced dike failure using two-point MPM.

Author

Liang, Dongfang, Zhao, Xuanyu, and Soga, Kenichi

Abstract

Fluvial dikes are important engineering works for protecting river valleys from flooding, so the stability of them is of great importance. In this paper, we apply a two-point two-phase formulation of the Material Point Method (MPM) to investigate the dike stability problem under the action of overtopping flows. Such a method has been incorporated in the Anura3D software (www.anura3d.com). In the model, the behaviours of soil and water are analysed in a single framework, so the interactions between the two phases are fully dynamic. The computational results agree well with the laboratory experiments. Parametric studies have been carried out to examine the effectiveness of various dike stability measures. The two-point MPM shows encouraging capabilities for studying a broad range of phenomena involving strong soil/water interactions. [ABSTRACT FROM AUTHOR]

Published
2020
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3. Global Sensitivity Analysis of Groundwater Related Dike Stability under Extreme Loading Conditions

Author

Teun van Woerkom, Rens van Beek, Hans Middelkoop, and Marc F. P. Bierkens

Subjects
groundwater, flood defenses, sensitivity analysis, dike stability, flood safety, Hydraulic engineering, TC1-978, Water supply for domestic and industrial purposes, TD201-500
Abstract

With up to 15% of the world’s population being protected by dikes from flooding, climate-change-induced river levels may dramatically increase the flood risk of these societies. Reliable assessments of dike stability will become increasingly important, but groundwater flow through dikes is often oversimplified due to limited understanding of the important process parameters. To improve the understanding of these parameters, we performed a global sensitivity analysis on a comprehensive hydro-stability model. The sensitivity analysis encompassed fifteen parameters related to geometry, drainage conditions and material properties. The following three sensitivity settings were selected to characterize model behavior: parameter prioritization, trend identification and interaction qualification. The first two showed that dike stability is mostly dependent on the dike slope, followed by the type of subsurface material. Interaction quantification indicated a very prominent interaction between the dike and subsurface material, as it influences both groundwater conditions and dike stability directly. Despite our relatively simple model setup, a database containing the results of the extensive Monte Carlo analysis succeeded in finding most of the unsafe sections identified by the official inspection results. This supports the applicability of our results and demonstrates that both geometry and subsurface parameters affect the groundwater conditions and dike stability.

Published
2021
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4. Surrogate modelling framework for probabilistic assessment of slope stability of dikes on heterogeneous soils

Author

Kamphuis, Arian (author) and Kamphuis, Arian (author)

Abstract

Climatic conditions in uence peak discharges in rivers and change sea levels; therefore, attention to the safety of dikes is of ever growing importance. Macro instability is one of the dike failure mechanisms that can inundate the hinterland. Soil heterogeneity plays an important role in assessing dike safety, especially for slope stability, because it is a major source of uncertainty. To assess a dike network for safety, numerical simulations for a full probabilistic analysis can be computationally expensive. Therefore, this study investigates how to build a state-of-the-art data-driven framework from a numerical model to predict the safety margins from the macro stability of dikes. Inputs and outputs of tens of thousands D-Stability simulations were used to create a training dataset. The most relevant features were selected based on global sensitivity analysis and the representation of soil heterogeneity in the framework. The maximisation of Shannon's information entropy and the generation of the training dataset was achieved by employing a smart sampling strategy for the input parameters. The sampling strategy consists of a Latin hypercube optimised uncorrelated uniform distributed dataset combined with a correlated dataset for optimal training eciency. The uncertainty due to soil heterogeneity is represented by a Gaussian random eld with a trend. This trend is commonly determined from a geotechnical cone penetration test. With a CPT, it also is possible to nd the vertical scale of uctuation, which is parametrised by the correlation length of the uctuations in soil strength. The second-order Markov correlation function is used to represent the correlation of the random elds. The Gaussian random eld is later mapped onto 16 stacked horizontal layers to model the heterogeneous soil properties. The surrogate model consists of an ensemble of thirteen machine learning models. The most important model is a multi-layer perceptron feed forward articial neural network. The, Civil Engineering | Hydraulic Structures

Published
2022

5. Global Sensitivity Analysis of Groundwater Related Dike Stability under Extreme Loading Conditions

Author

van Woerkom, Teun, van Beek, Rens, Middelkoop, Hans, Bierkens, Marc F.P., Hydrologie, Landscape functioning, Geocomputation and Hydrology, Geomorfologie, Coastal dynamics, Fluvial systems and Global change, Faculteit Geowetenschappen, Hydrologie, Landscape functioning, Geocomputation and Hydrology, Geomorfologie, Coastal dynamics, Fluvial systems and Global change, and Faculteit Geowetenschappen

Subjects
Dike, Groundwater flow, Population, Geography, Planning and Development, Dike stability, Aquatic Science, Stability (probability), Biochemistry, sensitivity analysis, groundwater, Geotechnical engineering, Sensitivity (control systems), Drainage, education, TD201-500, Groundwater, Water Science and Technology, flood defenses, Planning and Development, geography, education.field_of_study, geography.geographical_feature_category, dike stability, Water supply for domestic and industrial purposes, Flood myth, Geography, flood safety, Hydraulic engineering, Flood defenses, Flood safety, TC1-978, Sensitivity analysis, Geology
Abstract

With up to 15% of the world’s population being protected by dikes from flooding, climate-change-induced river levels may dramatically increase the flood risk of these societies. Reliable assessments of dike stability will become increasingly important, but groundwater flow through dikes is often oversimplified due to limited understanding of the important process parameters. To improve the understanding of these parameters, we performed a global sensitivity analysis on a comprehensive hydro-stability model. The sensitivity analysis encompassed fifteen parameters related to geometry, drainage conditions and material properties. The following three sensitivity settings were selected to characterize model behavior: parameter prioritization, trend identification and interaction qualification. The first two showed that dike stability is mostly dependent on the dike slope, followed by the type of subsurface material. Interaction quantification indicated a very prominent interaction between the dike and subsurface material, as it influences both groundwater conditions and dike stability directly. Despite our relatively simple model setup, a database containing the results of the extensive Monte Carlo analysis succeeded in finding most of the unsafe sections identified by the official inspection results. This supports the applicability of our results and demonstrates that both geometry and subsurface parameters affect the groundwater conditions and dike stability.

Published
2021
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6. Influence of rapid draw down on dike stability

Author

van Adrichem, Steve (author) and van Adrichem, Steve (author)

Abstract

The aim of this research is to find the influence of rapid drawdown on dike stability with the Delta21 project as case study. The Delta21 project is a proposed plan for a waterdefence system in front of the Haringvliet, The Netherlands. Its main element is a water retaining lake with an extensive pumping and turbine system. Whenever other storm surge barriers close, water from inland rivers can be pumped to the sea. The water retaining lake can act as an energy storage system as well by using the turbines to generate electricity at moments of high energy prices. The pumping system has the capacity to reduce the water level with 17.5m in 12hours. The dike surrounding the lake has a gradual slope as the height/width ratio below the water line is 1/20. It consists fully of a homogeneous and permeable fine sand. The estimation of material properties were based on limited CPT data, samples from the adjacent Maasvlakte II and empirical relationships. The rapid decrease of the water level in the lake causes rapid draw down conditions in the dike. Hereby the external hydrostatic pressure is reduced due to unloading effect of removing water, while a delay in the dissipation of pore pressures inside the dike is produced. This causes stress relaxation and slope instability. The research was performed using a numerical model verified with physical modeling in the form of centrifuge tests. For the numerical model the finite element model PLAXIS2D was used. A fully coupled flow deformation analysis was chosen, which can solve the full interaction between deformation, consolidation and groundwater flow simultanously in the same phase. It considers a reduced permeability and degree of saturation in the unsaturated zone. The Hardening Soil small strainmodel was selected as constitutive model due to the potential of capturing hysteresis in the stress-strain regime. Hysteresis could occur as a result of multiple cycles of water level fluctuations. To gain better understanding of the c, DELTA21, Civil Engineering

Published
2021

7. Simulation of overtopping and seepage induced dike failure using two-point MPM

Author

Liang, D, Zhao, X, Soga, K, and Apollo - University of Cambridge Repository

Subjects
Dike stability, Material point method, Soil/water interaction, Seepage, Overtopping
Abstract

Fluvial dikes are important engineering works for protecting river valleys from flooding, so the stability of them is of great importance. In this paper, we apply a two-point two-phase formulation of the Material Point Method (MPM) to investigate the dike stability problem under the action of overtopping flows. Such a method has been incorporated in the Anura3D software (www.anura3d.com). In the model, the behaviours of soil and water are analysed in a single framework, so the interactions between the two phases are fully dynamic. The computational results agree well with the laboratory experiments. Parametric studies have been carried out to examine the effectiveness of various dike stability measures. The two-point MPM shows encouraging capabilities for studying a broad range of phenomena involving strong soil/water interactions.

Published
2020

8. Modeling earthen dikes using real-time sensor data.

Author

Melnikova, N.B., Krzhizhanovskaya, V.V., and Sloot, P.M.A.

Subjects
*DIKES (Engineering), *TIDES, *THERMAL diffusivity, *CALIBRATION, *DATA analysis, *SENSITIVITY analysis, *MATHEMATICAL models
Abstract

Highlights: [•] Analysis of sensitivity of tide-induced pressure fluctuations in the dike to the variation of diffusivity. [•] Comparison of 1D analytical model with 2D numerical model. [•] Use of live sensor data for heterogeneous dike diffusivities calibration. [•] Generic procedure for automatic diffusivities calibration. [ABSTRACT FROM AUTHOR]

Published
2013
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9. The Dike Stability Analysis based on Strength Reduction Method.

Author

Zhiguo, Niu, ri, You, and Jun, Lu

Abstract

The dike engineering is an important part in the system of flood controlling. landslides is the main reason that leads to the dike break.In order to study the dike stability in an irrigation area, the dike slope stability is analyzed based on the strength reduction method and finite element method, and the safety factors of dike slope under the four typical calculation cases are calculated in this paper.The result shows that the dike is not steady under the rapid drawdown and it is steady under the othe cases,and the treatment measures should be taken to prevent severe disasters during flood. The research will provide a reliable basis for other similar engineering. [ABSTRACT FROM AUTHOR]

Published
2012
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10. Flood early warning system: design, implementation and computational modules.

Author

Krzhizhanovskaya, V.V., Shirshov, G.S., Melnikova, N.B., Belleman, R.G., Rusadi, F.I., Broekhuijsen, B.J., Gouldby, B.P., Lhomme, J., Balis, B., Bubak, M., Pyayt, A.L., Mokhov, I.I., Ozhigin, A.V., Lang, B., and Meijer, R.J.

Subjects
FLOOD warning systems, PROTOTYPES, COMPUTER simulation, SENSOR networks, ARTIFICIAL intelligence, DECISION support systems, DIKES (Engineering), SYSTEM failures, MIDDLEWARE
Abstract

Abstract: We present a prototype of the flood early warning system (EWS) developed within the UrbanFlood FP7 project. The system monitors sensor networks installed in flood defenses (dikes, dams, embankments, etc.), detects sensor signal abnormalities, calculates dike failure probability, and simulates possible scenarios of dike breaching and flood propagation. All the relevant information and simulation results are fed into an interactive decision support system that helps dike managers and city authorities to make informed decisions in case of emergency and in routine dike quality assessment. In addition to that, a Virtual Dike computational module has been developed for advanced research into dike stability and failure mechanisms, and for training the artificial intelligence module on signal parameters induced by dike instabilities. This paper describes the UrbanFlood EWS generic design and functionality, the computational workflow, the individual modules, their integration via the Common Information Space middleware, and the first results of EWS monitoring and performance benchmarks. [Copyright &y& Elsevier]

Published
2011
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11. Modeling earthen dikes using real-time sensor data

Author

N. B. Melnikova, Valeria V. Krzhizhanovskaya, Peter M. A. Sloot, and Computational Science Lab (IVI, FNWI)

Subjects
Dike, 0211 other engineering and technologies, Dike stability, Aquifer, 02 engineering and technology, Stability (probability), Physics::Geophysics, Physics - Geophysics, Pore water pressure, Live sensor data, 0202 electrical engineering, electronic engineering, information engineering, Calibration, Geotechnical engineering, Sensitivity (control systems), Computer Science - Computational Engineering, Finance, and Science, Diffusivity calibration, 021101 geological & geomatics engineering, Water Science and Technology, Porous flow, geography, geography.geographical_feature_category, 6. Clean water, Finite element method, 020201 artificial intelligence & image processing, Sensitivity analysis, Levee, Geology, Marine engineering
Abstract

Summary The paper describes the concept and implementation details of integrating a finite element module for dike stability analysis “ Virtual Dike ” into an early warning system for flood protection. The module operates in real-time mode and includes fluid and structural sub-models for simulation of porous flow through the dike and for dike stability analysis. Real-time measurements obtained from pore pressure sensors are fed into the simulation module, to be compared with simulated pore pressure dynamics. Implementation of the module has been performed for a real-world test case, an earthen levee protecting a sea-port in Groningen, The Netherlands. Sensitivity analysis and calibration of diffusivities have been performed based on pore pressure sensor data during tidal fluctuations. An algorithm for automatic diffusivities calibration for a heterogeneous dike is proposed and studied. Analytical solutions describing tidal propagation in a one-dimensional saturated aquifer are employed in the algorithm to generate initial estimates of diffusivities.

Published
2013
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12. Flood early warning system: design, implementation and computational modules

Author

A. V. Ozhigin, Ben Gouldby, G.S. Shirshov, F. I. Rusadi, Marian Bubak, N. B. Melnikova, Alexander L. Pyayt, Robert Meijer, R.G. Belleman, Ilya I. Mokhov, J. Lhomme, Bernhard Lang, B.J. Broekhuijsen, Valeria V. Krzhizhanovskaya, Bartosz Balis, Computational Science Lab (IVI, FNWI), and System and Network Engineering (IVI, FNWI)

Subjects
Artificial intelligence, Sensor networks, Communication & Information, Dike, Decision support system, Informatics, Computer science, Virtual Dike, Dike stability, BIS - Business Information Services, 02 engineering and technology, Flood Simulator, Neural clouds, neural clouds, Early warning system, 0202 electrical engineering, electronic engineering, information engineering, Flood simulator, Simulation, General Environmental Science, TS - Technical Sciences, geography, dike stability, geography.geographical_feature_category, Flood myth, Modeling, modeling, 020206 networking & telecommunications, flood, artificial intelligence, Floods, Dikes, Systems engineering, General Earth and Planetary Sciences, 020201 artificial intelligence & image processing, UrbanFlood, Wireless sensor network, early warning system
Abstract

We present a prototype of the flood early warning system (EWS) developed within the UrbanFlood FP7 project. The system monitors sensor networks installed in flood defenses (dikes, dams, embankments, etc.), detects sensor signal abnormalities, calculates dike failure probability, and simulates possible scenarios of dike breaching and flood propagation. All the relevant information and simulation results are fed into an interactive decision support system that helps dike managers and city authorities to make informed decisions in case of emergency and in routine dike quality assessment. In addition to that, a Virtual Dike computational module has been developed for advanced research into dike stability and failure mechanisms, and for training the artificial intelligence module on signal parameters induced by dike instabilities. This paper describes the UrbanFlood EWS generic design and functionality, the computational workflow, the individual modules, their integration via the Common Information Space middleware, and the first results of EWS monitoring and performance benchmarks. © 2011 Published by Elsevier Ltd.

Published
2011

13. Flood early warning system : Design, implementation and computational modules

Subjects
Artificial intelligence, Sensor networks, Communication & Information, TS - Technical Sciences, Informatics, Neural clouds, Early warning system, Dikes, Modeling, Dike stability, BIS - Business Information Services, Flood simulator, Floods
Abstract

We present a prototype of the flood early warning system (EWS) developed within the UrbanFlood FP7 project. The system monitors sensor networks installed in flood defenses (dikes, dams, embankments, etc.), detects sensor signal abnormalities, calculates dike failure probability, and simulates possible scenarios of dike breaching and flood propagation. All the relevant information and simulation results are fed into an interactive decision support system that helps dike managers and city authorities to make informed decisions in case of emergency and in routine dike quality assessment. In addition to that, a Virtual Dike computational module has been developed for advanced research into dike stability and failure mechanisms, and for training the artificial intelligence module on signal parameters induced by dike instabilities. This paper describes the UrbanFlood EWS generic design and functionality, the computational workflow, the individual modules, their integration via the Common Information Space middleware, and the first results of EWS monitoring and performance benchmarks. © 2011 Published by Elsevier Ltd.

Published
2011

14. Tiaozini Land reclamation: Preliminary port area design

Author

Beemsterboer, D. (author), Christophe, J. (author), Scheepjens, R. (author), Veldman, M. (author), Van der Wielen, V. (author), Beemsterboer, D. (author), Christophe, J. (author), Scheepjens, R. (author), Veldman, M. (author), and Van der Wielen, V. (author)

Abstract

In 2009 the Chinese State Council approved the developing plan for Jiangsu coastal zone that was part of the national developing strategy. The plan set goals to reclaim 21 areas in the Jiangsu coastal zone with main objective to achieve an economical impulse for the Jiangsu province. The Tiaozini reclamation acted as a pilot project and was assigned a priority area due to its size and strategic position between Lianyungang and Shanghai. The proposed occupation guidelines for Tiaozini hardly met the objective of giving an economical impulse and revision of the area was required. The northern part of Tiaozini was still under construction and was further assessed in this study. The Dutch layer approach was explicitly used as an analyzing tool to make a top-down preliminary design for the Tiaozini port area using Dutch norms and standards. This tool allowed the study to be divided in three conditioning layers; occupation, network and base layer allowed for a multidisciplinary and iterative process. The most suitable occupation was determined using macroeconomic, industry-specific and port analysis. Due to the favorable investment climate ensuring future potential, lack of competitors and presence of partners, an efficiently organized public-private petrochemical port area was determined as preliminary occupation for the northern part of Tiaozini. The supporting transport network should take the following criteria into account: modal split, flexibility, sustainability and capacity. These criteria were determined by the characteristics of the petrochemical industry. The connection between the network and base layer was made by the use of the main enabling road connection. The embankment settlement for the required six-lane highway was calculated using D-Settlement numerical program in combination with NEN-Bjerrum calculation method and checked using analytical NEN-Koppejan method. A 4.5m high surcharge preload in combination with vertical drains was required for six month, Hydraulic Engineering, Civil Engineering and Geosciences

Published
2012

15. The Dike Stability Analysis based on Strength Reduction Method

Author

Niu Zhiguo, Lu Jun, and You Ri

Subjects
Dike, geography, strength reduction method, geography.geographical_feature_category, Safety factor, dike stability, Flood myth, finite element method, Strength reduction, Landslide, General Medicine, Finite element method, Slope stability, Drawdown (hydrology), Geotechnical engineering, safety factor, Engineering(all), Geology
Abstract

The dike engineering is an important part in the system of flood controlling. landslides is the main reason that leads to the dike break.In order to study the dike stability in an irrigation area, the dike slope stability is analyzed based on the strength reduction method and finite element method, and the safety factors of dike slope under the four typical calculation cases are calculated in this paper.The result shows that the dike is not steady under the rapid drawdown and it is steady under the othe cases,and the treatment measures should be taken to prevent severe disasters during flood. The research will provide a reliable basis for other similar engineering.

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