A Review of Stochastic Analysis of the Seepage Through Earth Dams with a Focus on the Application of Monte Carlo Simulation

Kalateh, Farhoud; Kheiry, Milad

doi:10.1007/s11831-023-09972-3

Cited by 3 publications

(2 citation statements)

References 100 publications

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“…However, a limitation of these methods is that they often require active participation and/or disturbance of the soil structure for data gathering. Theoretical approaches include the use of Water 2024, 16, 1009 2 of 14 analytical [14], numerical [15][16][17][18][19][20][21], and statistical [22,23] models to predict earthen dam integrity with various conditions and time scales. However, each model has specific assumptions and limitations.…”

Section: Introductionmentioning

confidence: 99%

“…Numerical models, such as finite element analysis, require extensive experimental parameters to replicate field conditions, but minor parameter variations can have drastic results [14]. Statistical models such as machine learning, artificial neural networks, and Monte Carlo simulations can be used to quantify soil erosion, but require vast amounts of training data (i.e., historical data) to produce viable results [22,23]. For larger dams, historical data are most likely readily available.…”

Section: Introductionmentioning

confidence: 99%

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Prediction of Soil Erosion Using 3D Point Scans and Acoustic Emissions

Wise,

Al Dushaishi

2024

Water

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Over half of the approximately 12,000 earthen watershed dams sponsored by the USDA have exceeded their planned 50-year service life. Age, land use changes, extreme weather events, structural deterioration, and sedimentation filling flood pools pose increased risks of dam incidents and potential failures. Among various mechanisms leading to integrity issues, soil erosion is of particular concern due to its potential to occur with little warning. The objective of this research is to determine if soil erosion can be predicted using acoustic emissions. A simulated dam overtopping experiment was replicated in a test flume with dimensions of 0.61 m by 4.27 m (2 ft. by 14 ft.) with a 13.7% slope and a 0.15 m (6 in) layer of inorganic clay (USCS CL) compacted at 17.4% moisture content. A constant flow discharge of 0.07 m3/s (2.37 cfs) was applied to induce erosion. The test was performed until complete failure of the test section occurred. Throughout the experiment, a sonar radar, a 3D scanning total station, and an accelerometer were used to monitor the water level, erosion levels, and vibrations, respectively. The frequency analysis of the water-induced vibrations was compared to measured erosion volumes to determine if in situ vibrations can predict erosion. The results revealed a linear relationship between erosion volume and time, with noticeable changes in the frequency domains as erosion progressed. The outcomes of this research have the potential to provide real-time insights into the integrity of earthen dams concerning erosion, offering a valuable tool for monitoring and maintenance.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Prediction of Soil Erosion Using 3D Point Scans and Acoustic Emissions

Wise,

Al Dushaishi

2024

Water

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Investigating the Reservoir Sediment Effects on Seismic Damage of Concrete Gravity Dams Using Nonlinear Incremental Dynamic Analysis (NIDA)

Kalateh,

Ghamatloo,

Kheiry

2024

Iran J Sci Technol Trans Civ Eng

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Kil Çekirdekli Dolgu Barajlarda Kararlı Durum Sızmasının Olasılıksal Analizi

Günay,

Akbaş

2024

Journal of Polytechnic

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Dolgu barajlarda suyun barajın memba kısmından mansap kısmına doğru sürekli ve engellenemeyen hareketi sızma olarak tanımlanır. Tasarım aşamasında bu hareketin belirli bir mertebenin altında tutulması hedeflenir. Bu hedef doğrultusunda sızmanın doğru tahmin edilebilmesi için konu üzerinde çok sayıda deneysel ve sayısal çalışma yapılmıştır. Son yıllarda hesaplardaki belirsizliklerin azaltılması amacı ile zemindeki değişkenliklerin de dikkate alındığı ve sonlu elemanlar yönteminin sıklıkla kullanıldığı olasılıksal analizler de gerçekleştirilmeye başlanmıştır. Bu kapsamda, mevcut çalışmada kil çekirdek malzemesinin permeabilite değerindeki belirsizlikler göz önünde bulundurularak sonlu elemanlar yöntemi ile gerçekleştirilen olasılıksal sızma analizlerinin, farklı çekirdek şev eğimlerine sahip iki adet kil çekirdekli dolgu baraj üzerinde bir uygulamasına ait sonuçlar sunulmaktadır. Öncelikle, kil çekirdeği oluşturan zemine ait permeabilite değerlerinin istatistiksel parametreleri belirlenmiş, Monte Carlo simülasyonları ile üretilen permeabiliteler PLAXIS 2D programında yapılan sızma analizlerinin girdileri olarak olarak kullanılmıştır. Aynı ortalama değerinde elde edilen iki modele ait sonuçlar birbirleriyle ve deterministik olarak elde edilen sonuçlarla kıyaslanmıştır. Analiz sonuçları, olasılıksal analizle deterministik yönteme daha düşük sızma değerleri elde edildiğini ortaya koymaktadır. Ayrıca zemin parametrelerine ait kabul edilen olasılıksal dağılım özelliklerinin sonuçlar üzerindeki etkisi açıkça görülmektedir.

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A Review of Stochastic Analysis of the Seepage Through Earth Dams with a Focus on the Application of Monte Carlo Simulation

Cited by 3 publications

References 100 publications

Prediction of Soil Erosion Using 3D Point Scans and Acoustic Emissions

Prediction of Soil Erosion Using 3D Point Scans and Acoustic Emissions

Investigating the Reservoir Sediment Effects on Seismic Damage of Concrete Gravity Dams Using Nonlinear Incremental Dynamic Analysis (NIDA)

Kil Çekirdekli Dolgu Barajlarda Kararlı Durum Sızmasının Olasılıksal Analizi

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