Surrogate model approach for stochastic prediction of sloshing-induced pressure based on SPH with FORM. (1st February 2023)

• Record Type: Journal Article
• Authors: Takami, Tomoki; Ma, Chong
• Is Part Of: Ships and offshore structures. Volume 18:Number 2(2023)
• Page Start: 143
• Page End: 156
• Publication Date: 2023-02-01
• Subjects: Extreme value prediction -- sloshing -- first order reliability method -- smoothed particle hydrodynamics -- surrogate model; Ships -- Periodicals; Offshore structures -- Periodicals; Marine engineering -- Periodicals; Marine engineering -- Technological innovations -- Periodicals; Ocean engineering -- Periodicals; Ocean engineering -- Technological innovations -- Periodicals; 623.8
• DOI: 10.1080/17445302.2022.2032992
• Languages: English
• ISSNs: 1744-5302

Abstract

ABSTRACT: An efficient method to predict extreme pressures considering the sloshing in a rectangular tank subjected to in-plane irregular rotational motions is proposed. First Order Reliability Method (FORM) is applied to evaluate the probability distribution of pressure, while the open-source Smoothed-Particle Hydrodynamics (SPH) code DualSPHysics is used for obtaining time-domain pressures. To attain an efficient extreme value prediction, a simplified surrogate model is formulated so that the SPH results are represented with fast computations. An efficient extreme value prediction is achieved without directly using SPH to the series calculations with various stochastic variables during FORM. FORM results are validated by comparing the reliability index with the Monte Carlo Simulation. Finally, the difference in the sloshing-induced impact pressures evaluated by the two-dimensional and three-dimensional SPH under the most probable wave episodes obtained by FORM is presented, and then the applicability of the present surrogate model to the three-dimensional SPH is demonstrated.