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Stochastic analysis of ground response using non-recursive algorithm
Abstract During an earthquake, the amplitudes of seismic wave may amplify significantly as it propagates through the soil layers near the ground surface. Analysis of site amplification potential is strongly influenced by the uncertainty associated to the definition of soil thickness and its properties. In this paper, the non-recursive algorithm is used in linear and nonlinear Hybrid Frequency Time Domain (HFTD) approaches for stochastic analysis of site amplification. The non-recursive algorithm causes time reduction of analysis that is the essential base of stochastic analysis. The selected soil stochastic parameters are shear wave velocity, density, damping and thickness. The results of sensitivity analysis also show that the damping ratio is the most effective parameter in PGA at ground surface. The stochastic peak ground acceleration, response spectrum and amplification factor at the ground surface are determined by the two approaches for four sites with different average shear wave velocities. Comparison of the results shows that the nonlinear HFTD approach predicts closer response to real recorded data with respect to linear HFTD.
Highlights MCs method is used to assess reliability of ground response analysis. The selected stochastic parameters are v s, γ, H, G/G max and D. The non-recursive algorithm is used in linear and nonlinear HFTD approaches. It is shown that D is most effective parameter in site response. Stochastic PGA, Sa and AF at the ground surface are determined.
Stochastic analysis of ground response using non-recursive algorithm
Abstract During an earthquake, the amplitudes of seismic wave may amplify significantly as it propagates through the soil layers near the ground surface. Analysis of site amplification potential is strongly influenced by the uncertainty associated to the definition of soil thickness and its properties. In this paper, the non-recursive algorithm is used in linear and nonlinear Hybrid Frequency Time Domain (HFTD) approaches for stochastic analysis of site amplification. The non-recursive algorithm causes time reduction of analysis that is the essential base of stochastic analysis. The selected soil stochastic parameters are shear wave velocity, density, damping and thickness. The results of sensitivity analysis also show that the damping ratio is the most effective parameter in PGA at ground surface. The stochastic peak ground acceleration, response spectrum and amplification factor at the ground surface are determined by the two approaches for four sites with different average shear wave velocities. Comparison of the results shows that the nonlinear HFTD approach predicts closer response to real recorded data with respect to linear HFTD.
Highlights MCs method is used to assess reliability of ground response analysis. The selected stochastic parameters are v s, γ, H, G/G max and D. The non-recursive algorithm is used in linear and nonlinear HFTD approaches. It is shown that D is most effective parameter in site response. Stochastic PGA, Sa and AF at the ground surface are determined.
Stochastic analysis of ground response using non-recursive algorithm
Johari, A. (author) / Momeni, M. (author)
Soil Dynamics and Earthquake Engineering ; 69 ; 57-82
2014-10-25
26 pages
Article (Journal)
Electronic Resource
English
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