Efficient Uncertainty Quantification of Wharf Structures under Seismic Scenarios Using Gaussian Process Surrogate Model

ABSTRACT

The scenario-based seismic assessment approach is illustrated within a large-scale pile-supported wharf structure (PSWS). As nonlinear seismic response analysis is computationally expensive, a novel and efficient method is developed to improve and update the traditional simulation methods. Herein, the Gaussian Process (GP) surrogate model is proposed to replace the time-consuming FE model of PSWS, which makes the quantification of uncertainty in seismic response of a large-scale PSWS resulting from structural parameter uncertainty more computationally-efficient. The feasibility of the proposed approach in seismic assessment of a large-scale PSWS under a given seismic scenario is verified by using Monte Carlo simulation.

KEYWORDS:

• Pile-Supported Wharf Structure
• Uncertainty
• Scenario-Based Seismic Assessment
• Finite Element
• Surrogate Model
• Sobol Sequence

Additional information

Funding

This research was financially supported by the Special Project Fund of Taishan Scholars of Shandong Province, China [Grant No. 2015-212] and the Shandong Provincial Natural Science Foundation, China [Grant No. ZR2017QEE007]. The second author would like to appreciate the funding support by the Hong Kong Scholars Program [Grant No. XJ2016039].