A hybrid framework for developing empirical model for seismic deformations of anchored sheetpile bulkheads

Wenping Gong, James R. Martin, C. Hsein Juang, Stephen E. Dickenson, Nason J. McCullough

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Damages to port facilities supported by anchored sheetpile walls are commonly observed at moderate to high seismic load levels. Predicting the extent of seismic deformations of anchored sheetpile walls is a necessary step in the performance-based design; however, the lack of straightforward and practical models poses great challenges for this prediction. In this study, a hybrid framework is proposed for developing practical empirical models for predicting seismic deformations of anchored sheetpile walls. First, a 2-D numerical model is calibrated with field case history data. Next, a series of numerical simulations are undertaken to characterize the relationship between the responses (i.e., seismic deformations of anchored sheetpile walls) and the inputs (i.e., variables that affect the responses). The model bias factor and coefficients (i.e., model parameters) in the derived coarse solution model are then characterized probabilistically, and further updated and refined with the collected database of field cases and/or experimental data. Finally, this hybrid framework is demonstrated through the development of data-driven empirical models for predicting seismic deformations of anchored sheetpile walls. The results show that the proposed framework is effective in developing a data-driven empirical model, and the obtained model can be easily updated with additional case history data, as needed, to improve the accuracy.

Original languageEnglish
Pages (from-to)192-204
Number of pages13
JournalSoil Dynamics and Earthquake Engineering
Volume116
DOIs
StatePublished - Jan 2019

Keywords

  • Anchored sheetpile wall
  • Bayesian inference method
  • Data-driven empirical model
  • Seismic deformation

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