Geotechnical Earthquake Considerations

Kramer, Steven L.; Scawthorn, Charles

doi:10.1201/9781420039788.ch1

Cited by 172 publications

(251 citation statements)

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“…(15), c 1 , c 2 , c 3 , and c 4 are obtained from Raghu Kanth and Iyengar (2007). The normal cumulative distribution function has a value which is most efficiently expressed in terms of the standard normal variables (z) which can be computed for any random variables using transformation as given below (Kramer, 1996):…”

Section: Seismic Hazard Analysismentioning

confidence: 99%

“…For assessing the seismic hazard the important factors to be considered are: past earthquake data, earthquake source characteristics in the region and the attenuation relationships. Seismic hazard may be analyzed deterministically by considering a particular earthquake scenario, or probabilistically, by considering the uncertainties involved in earthquake size, location, and time of occurrence (Kramer, 1996). In this paper an attempt has been made to estimate seismic hazard at rock level in terms of peak horizontal acceleration (PHA) and spectral acceleration (SA) using probabilistic seismic hazard analysis (PSHA).…”

Section: Introductionmentioning

confidence: 99%

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Estimation of peak ground acceleration and spectral acceleration for South India with local site effects: probabilistic approach

Vipin

Anbazhagan

Sitharam

2009

Nat. Hazards Earth Syst. Sci.

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Abstract. In this work an attempt has been made to evaluate the seismic hazard of South India (8.0 • N-20 • N; 72 • E-88 • E) based on the probabilistic seismic hazard analysis (PSHA). The earthquake data obtained from different sources were declustered to remove the dependent events. A total of 598 earthquakes of moment magnitude 4 and above were obtained from the study area after declustering, and were considered for further hazard analysis. The seismotectonic map of the study area was prepared by considering the faults, lineaments and the shear zones in the study area which are associated with earthquakes of magnitude 4 and above. For assessing the seismic hazard, the study area was divided into small grids of size 0.1 • ×0.1 • , and the hazard parameters were calculated at the centre of each of these grid cells by considering all the seismic sources with in a radius of 300 km. Rock level peak horizontal acceleration (PHA) and spectral acceleration (SA) values at 1 s corresponding to 10% and 2% probability of exceedance in 50 years have been calculated for all the grid points. The contour maps showing the spatial variation of these values are presented here. Uniform hazard response spectrum (UHRS) at rock level for 5% damping and 10% and 2% probability of exceedance in 50 years were also developed for all the grid points. The peak ground acceleration (PGA) at surface level was calculated for the entire South India for four different site classes. These values can be used to find the PGA values at any site in South India based on site class at that location. Thus, this method can be viewed as a simplified method to evaluate the PGA values at any site in the study area.

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Section: Seismic Hazard Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Estimation of peak ground acceleration and spectral acceleration for South India with local site effects: probabilistic approach

Vipin

Anbazhagan

Sitharam

2009

Nat. Hazards Earth Syst. Sci.

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“…Hynes-Griffin and Franklin (1984) applied the Newmark sliding block analysis to over 350 accelerograms and studied the correlation between pseudostatic factor of safety and calculated deformation based on sliding block analysis. It was concluded that when the pseudo-static factor of safety is more than unity and horizontal earthquake coefficient, a h = 0.5 a max /g, there will not be significant deformations (Kramer 2003). For the selection of appropriate value of horizontal seismic coefficient, Bureau of Indian Standard (BIS:1893-2002) divided India into four different zones (II to V) and horizontal (a h ) and vertical (a v ) seismic coefficients values are recommended for different zones.…”

Section: Pseudo-static Analysismentioning

confidence: 98%

Finite Element and Reliability Analyses for Slope Stability of Subansiri Lower Hydroelectric Project: A Case Study

Rathod

Rao

2011

Geotech Geol Eng

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The partly constructed and excavated power house slopes of Subansiri Lower Hydroelectric Project experienced extensive collapses through complex mode of failure. A detailed study is attempted in this paper to understand the reasons for the failure and assess the stability of the existing constructed slopes using limit equilibrium and FEM solutions and also to propose modified design for rebuilding the slopes. To take into account the uncertainty associated with the rockmass and soil properties, probability and reliability analyses have also been carried out. Based on the field observations and stability analyses of the natural and cut slopes, suitable support systems such as slope flattening with various angles, weldmesh, shotcrete, rockbolts and drainage holes have been considered to meet the stability requirements. In this study, it is demonstrated that the probabilistic approach when used in conjunction with deterministic approach helps in providing a rational solution for quantification of stability in the estimation of risk associated with the power house slope construction.

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“…based on the assumption that IM is taken as the base-10 logarithm of a ground-motion parameter such as the peak ground acceleration (PGA) or acceleration response spectral ordinate (S a ) [15]. Note that M =M + ε M and R =R + ε R , so the total prediction error may be expressed as:…”

Section: Uncertainty Analysis Of An Eews Operationmentioning

confidence: 99%