• Corpus ID: 8972749

UTILIZING NONLINEAR SEISMIC GROUND RESPONSE ANALYSIS PROCEDURES FOR TURKEY FLAT BLIND PREDICTIONS

@inproceedings{Kwok2006UTILIZINGNS,
  title={UTILIZING NONLINEAR SEISMIC GROUND RESPONSE ANALYSIS PROCEDURES FOR TURKEY FLAT BLIND PREDICTIONS},
  author={On-Lei Annie Kwok and Jonathan P. Stewart and Robert Pyke and Zhiliang Wang and Zhaohui (Joey) Yang},
  year={2006}
}

• O. Kwok, J. Stewart, +2 authors Z. Yang
• Published 2006
• Engineering

Blind predictions of Turkey Flat ground motions are carried out using a series of nonlinear ground response analysis codes. The prediction exercise is structured in two phases so as to formally consider several sources of uncertainty. The first phase involves analysis of the site response considering various sources of material variability and model variability. Specifically, these analyses utilized five different nonlinear analysis codes, each exercised with a suite of small strain shear wave velocity profiles and modulus reduction/damping curves that encompass the range of reported material properties. The second phase of this prediction exercise involves comparisons of results obtained by independent analysis teams for a "baseline" set of material properties. This second phase of work is of interest to see how much variability in estimated ground motions arises from user-to-user differences in code usage and parameter selection when all users have the same basic information on site condition and the same code. We compare the contributions of all these sources of variability (shear wave velocity, nonlinear curves, code-to-code for the same user, and user-to-user for the same code) and identify the most critical sources for the Turkey Flat site.