Seismic stability of earth dams and embankments

Sarma, S. K.

doi:10.1680/geot.1975.25.4.743

Cited by 237 publications

(88 citation statements)

References 9 publications

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“…The behavior of embankment dams under earthquake shaking has been studied by many researchers [5][6][7][8][9][10][11][12][13]. Park and Kim [14] and Kim et al…”

Section: -Introductionmentioning

confidence: 99%

A regression-based approach to predict crest settlement of embankment dams under earthquake shaking

2018

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Settlement of the embankment dams are among the major damages caused by earthquakes, eventually leading to dam instability. Therefore, accurate assessment of the seismic settlement of embankment dams is of particular concern. This study aims to evaluate the settlement of embankment dams subjected to earthquake loads using regression-based methods. A wideranging real data on crest settlement of embankment dams caused by earthquakes was analyzed.Yield acceleration of dam (a y ), maximum horizontal earthquake acceleration (a max ), fundamental period of dam body (T d ), predominant period of earthquake (T p ), and earthquake magnitude (M w ) were considered as the most influential parameters affecting the seismic crest settlement of embankment dams. Using support vector regression (SVR) method as well as multiple linear regression (MLR) method, two models were developed to estimate earthquake induced settlement of embankment dams. Subsequently, sensitivity analysis was conducted in order to assess the behavior of the proposed models under different conditions. Finally, the accuracy of the proposed models was compared with the existing relationship for estimation of earthquake induced crest settlement of embankment dams. Although both MLR-and SVR-based models have an acceptable accuracy in estimation of the crest settlement of embankment dams under earthquake loading, the SVR-based model has a higher accuracy.

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“…The behavior of embankment dams under earthquake shaking has been studied by many researchers [5][6][7][8][9][10][11][12][13]. Park and Kim [14] and Kim et al…”

Section: -Introductionmentioning

confidence: 99%

A regression-based approach to predict crest settlement of embankment dams under earthquake shaking

2018

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“…Numerical and analytical methods are the most important tools to study the slopes in order to mitigate them effectively (Bishop 1955, Janbu 1957, Sarma 1975 ). Analytical methods use simple slice-like techniques based on the limit equilibrium method, but this tool has limitations and is not very useful for complex rock mass modeling.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of a Road Cut Slope along SH-72, Mahableshwar, Maharashtra, India

Kainthola¹,

Verma²,

Singh³

2017

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Abstract. Hill stations which are favoured tourist destinations are mostly accessible by road excavated on the hill slopes. These roads cut slopes pose a grave threat to life and local economics in case of a slope failure. Proper study is called for to mitigate this danger of these slope failures which are especially rampant during the rainy season. In the present study a road cut slope along SH-72 near Mahableshwar, Maharashtra, India, has been numerically simulated using finite element and finite difference techniques to appraise their stability under dry and saturated conditions.

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“…Civil and mining engineering researchers have long since used various tools and techniques to understand the behaviour of slopes under static and dynamic conditions (Bishop 1955, Janbu 1957, Sarma 1975, Spencer 1967. They have used simple slice-like techniques based on the limit equilibrium method, but these methods have limitations and are not very useful for complex rockmass modelling.…”

Section: Introductionmentioning

confidence: 99%

Static and dynamic analysis of a landslide

Singh¹,

Verma²,

Sarkar³

2010

Geomatics, Natural Hazards and Risk

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Slope failure is a recurrent phenomenon in hilly regions. It is hazardous because of the accompanying rapid mass movement of soil and rock mass. To alleviate the damage caused by landslide, slope-stability analyses and stabilization techniques require in-depth understanding and appraisal of the process that govern the failure behaviour of slopes. Once the instability behaviour is understood, remedial measures such as retaining walls, rock bolts, anchoring, etc., can be recommended to stabilize the slope.This article deals with a comparative study used for the analysis of the stability of slopes of Amiyan area, near Kathgodam, Nainital, Uttarakhand assuming that the rock mass follow the Mohr-Coulomb failure criterion under static and dynamic loading conditions. The area constantly experiences local as well as regional slides along the river bank. A field study was carried out in the landslide area to collect the representative samples to determine the various physiomechanical properties of rock as well as debris samples. These properties have been used as input parameters after converting it into the rockmass properties using a joint weakening coefficient for the numerical simulation. The computed deformations and the stress distributions, along the failure surface, have been compared with the field measurements/observation and found to be in good agreement. The global factor of safety (FOS) calculated by finite difference, finite element and dynamic analysis was found to be 1.57, 1.144 and 0.84, respectively. This indicates that the slope is critically stable in case of any small local/global disturbance which may further reduce the FOS and cause failure.

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Seismic stability of earth dams and embankments

Cited by 237 publications

References 9 publications

A regression-based approach to predict crest settlement of embankment dams under earthquake shaking

A regression-based approach to predict crest settlement of embankment dams under earthquake shaking

Numerical Simulation of a Road Cut Slope along SH-72, Mahableshwar, Maharashtra, India

Static and dynamic analysis of a landslide

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