Inverse Evaluation of Monopile Pile–Soil Interaction Parameters Using Random Search

To deal with the uncertainties in modeling offshore wind turbines, we propose 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 s...

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Vydáno v:Journal of marine science and engineering Ročník 11; číslo 7; s. 1329
Hlavní autoři: Qiao, Hou, Li, Wei, Jiang, Zhenqiang, Sheng, Xi, Guo, Chuanrui
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 01.07.2023
Témata:
Air-turbines
Algorithms
Analysis
Convergence
Decomposition
Design
Eigenvalues
Eigenvectors
Identification
Interaction models
Interaction parameters
Mathematical models
Methods
Numerical models
Objective function
Offshore
offshore wind
Optimization
Parameter identification
parameter inversion
Parameter sensitivity
Parameter uncertainty
Parameters
Piles
pile–soil interaction
random search
Redundancy
Search algorithms
Searches and seizures
Sensors
Shear strength
Soil-pile interaction
Soils
Structural health monitoring
Turbines
Wind farms
Wind power
Wind turbines
ISSN:2077-1312, 2077-1312
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Popis
Shrnutí:To deal with the uncertainties in modeling offshore wind turbines, we propose 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 number of iterations, depending on what the initial parameter values are. However, different initial parameter cases may converge to slightly different optimal parameters, implying that 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 light on the influence of parameter uncertainties on offshore wind turbines.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:2077-1312
2077-1312
DOI:10.3390/jmse11071329