System reliability analysis of ground response based on peak ground acceleration considering soil layers cross-correlation

• Published in: Soil dynamics and earthquake engineering (1984) Vol. 141; p. 106475
• Main Authors: Johari, A., Vali, B., Golkarfard, H.
• Format: Journal Article
• Language: English
• Published: Barking Elsevier Ltd 01.02.2021; Elsevier BV
• Subjects: Component reliability; Computer applications; Computing costs; Computing time; Correlation; Correlation analysis; Cross correlation; Frequency analysis; Frequency domain analysis; Ground motion; Ground response; Monte Carlo simulation; Parameter uncertainty; Reliability analysis; Sequential compounding method; Soil analysis; Soil layers; Soils; Subset simulation; System reliability; System reliability analysis; Subset simulation; Ground response; Sequential compounding method; System reliability analysis; Monte Carlo simulation
• ISSN: 0267-7261; 1879-341X
• DOI: 10.1016/j.soildyn.2020.106475

Ground response analysis is greatly affected by uncertainties inherent in soil parameters. However, accurate reliability analysis of the ground response and determination of the reliability index associated with Peak Ground Acceleration (PGA) at the ground surface considering soil layers cross-correlation is very time-consuming. In this paper, by considering two real sites and using frequency domain analysis, the layered-soil sites are regarded as serial components of a cross-correlation system. Then the corresponding reliability index of each is obtained via proposed methods. System reliability indices of the sites PGAs are finally determined by combining the components based on their corresponding correlation through the Sequential Compounding Method (SCM) as a powerful technique for reducing computational costs. The reliability indices obtained by the proposed methods are then compared with the Monte Carlo Simulation (MCS) and Subset Simulation (SS) methods known as efficient MCS. The results show that, in addition to reducing the computational time, the proposed methods represent high accuracy for calculating the reliability indices of ground surface PGAs of the sites. •System reliability analysis of ground response based on three proposed methods is presented.•Shear wave velocity and unit weight of the soil layers are considered as stochastic parameters.•Real sites PGA reliability indices are determined by FORM- and Hasofer-Lind-PSO-SCM methods.•The results of FORM-SCM and Hasofer-Lind-PSO-SCM methods are compared with the MCS and SS.•The proposed methods calculate reliability indices quickly and considering soil layers cross-correlation.