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A platform for research: civil engineering, architecture and urbanism
Probabilistic Seismic Response of Soil-Pile Foundation-Structure System: A Substructure Based Analysis
Seismic soil structure interaction (SSI) analysis helps to evaluate collective response of whole structural system. SSI modelling under seismic loading seems to be the prime factor which has a significant influence on accurate prediction of seismic response of structure. Though it was well evidenced that direct modelling approach renders solution with higher degree of accuracy, but this approach was not popular due to computational cost and inefficiency. In addition, variability in subsoil properties, modelling and load uncertainty has led the problem further complex. In this context, present study is attempted to carry out probabilistic seismic analysis of pile foundation supported building structure embedded in in-homogenous soft clay modelled through computationally efficient and simplified substructure based modelling approach. First, monotonic pushover analysis is performed by applying lateral load on pile head which is modelled using beams on nonlinear Winkler foundation (BNWF) approach. The stiffness of equivalent pile-soil impedance springs are calculated from this analysis and, frequency dependent dynamic stiffness of the foundation is also obtained following an accepted analytical model. Finally, seismic response of the whole structure idealized as single degree of freedom (SDOF) oscillator is calculated incorporating equivalent impedance soil springs at the base with application of input earthquake motions. Monte Carlo simulation (MCS) is adopted to perform the probabilistic analysis incorporating material (i.e., soil properties). The outcome of the study helps to assess the influence of variability of system parameters on seismic response of pile supported structure in a relatively simplified manner.
Probabilistic Seismic Response of Soil-Pile Foundation-Structure System: A Substructure Based Analysis
Seismic soil structure interaction (SSI) analysis helps to evaluate collective response of whole structural system. SSI modelling under seismic loading seems to be the prime factor which has a significant influence on accurate prediction of seismic response of structure. Though it was well evidenced that direct modelling approach renders solution with higher degree of accuracy, but this approach was not popular due to computational cost and inefficiency. In addition, variability in subsoil properties, modelling and load uncertainty has led the problem further complex. In this context, present study is attempted to carry out probabilistic seismic analysis of pile foundation supported building structure embedded in in-homogenous soft clay modelled through computationally efficient and simplified substructure based modelling approach. First, monotonic pushover analysis is performed by applying lateral load on pile head which is modelled using beams on nonlinear Winkler foundation (BNWF) approach. The stiffness of equivalent pile-soil impedance springs are calculated from this analysis and, frequency dependent dynamic stiffness of the foundation is also obtained following an accepted analytical model. Finally, seismic response of the whole structure idealized as single degree of freedom (SDOF) oscillator is calculated incorporating equivalent impedance soil springs at the base with application of input earthquake motions. Monte Carlo simulation (MCS) is adopted to perform the probabilistic analysis incorporating material (i.e., soil properties). The outcome of the study helps to assess the influence of variability of system parameters on seismic response of pile supported structure in a relatively simplified manner.
Probabilistic Seismic Response of Soil-Pile Foundation-Structure System: A Substructure Based Analysis
Lecture Notes in Civil Engineering
Satyanarayana Reddy, C. N. V. (editor) / Krishna, A. Murali (editor) / Satyam, Neelima (editor) / Banik, Rajat (author) / Saha, Rajib (author)
2022-01-17
12 pages
Article/Chapter (Book)
Electronic Resource
English
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