Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Inverse Evaluation of Monopile Pile-soil Interaction Parameters Using Random Search

Version 1 : Received: 15 June 2023 / Approved: 16 June 2023 / Online: 16 June 2023 (10:13:49 CEST)

A peer-reviewed article of this Preprint also exists.

Qiao, H.; Li, W.; Jiang, Z.; Sheng, X.; Guo, C. Inverse Evaluation of Monopile Pile–Soil Interaction Parameters Using Random Search. J. Mar. Sci. Eng. 2023, 11, 1329. Qiao, H.; Li, W.; Jiang, Z.; Sheng, X.; Guo, C. Inverse Evaluation of Monopile Pile–Soil Interaction Parameters Using Random Search. J. Mar. Sci. Eng. 2023, 11, 1329.

Abstract

To deal with the uncertainties in modeling offshore wind turbines, we proposed a parameter inversion method for the pile-soil interaction model based on structural health monitoring results and the numerical model. The proposed parameter inversion method has a numerical model, an objective function selected using both the numerical and identified results, and an inverse optimization using a random search algorithm in the assumed parameter space. The parameter results in the minimum optimization objective function are identified as the in-situ parameter. The proposed method is confirmed to converge after some iterations, whatever the initial parameter values are. However, different initial parameter cases may converge to slightly different optimal parameters, implying the pile results are sensitive to geological parameters. Moreover, a comparison with the original design results shows design redundancy or risks. Though the proposed method has several flaws, it can shed some light on the influence of uncertainties in offshore wind turbines, such as soil parameters in geological surveys.

Keywords

offshore wind; parameter inversion; pile-soil interaction; random search

Subject

Engineering, Marine Engineering

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