Combining Reduced-Order Stick Model with Full-Order Finite Element Model for Efficient Analysis of Self-Elevating Units

• Published in: Journal of marine science and engineering Vol. 11; no. 1; p. 119
• Main Authors: Zhang, Chi, Zhang, Shanli, Santo, Harrif, Cai, Minbo, Yu, Modi, Si, Michael
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-01-2023
• Subjects: Boundary conditions; Case studies; Digital twins; dynamic analysis; Dynamic characteristics; Environmental conditions; Finite element method; Gas industry; jack-up; Mathematical models; Mode superposition method; Model reduction; Offshore drilling; Offshore structures; Reduced order models; reduced-order model; self-elevated unit; stick model; Stresses; Twins
• ISSN: 2077-1312; 2077-1312
• DOI: 10.3390/jmse11010119

Reduced-order stick models are frequently employed to obtain dynamic amplification factors of self-elevating units (SEU), while the full-order finite element (FE) models are used for quasi-static analyses. This paper develops an efficient framework to create structural digital twins for SEUs by combining both stick models and full-order FE models. A stick model and a detailed FE model of an in-house developed generic SEU are established, respectively, following the standard industry guideline. Dynamic analyses are performed for the stick model based on the modal superposition method. Assuming that the stick model contains the key dynamic characteristics of the full-order FE model, the modal participation factors are multiplied by the corresponding mode shapes of the full FE model to derive the global dynamic responses of the entire SEU. The derived nodal displacements are imposed on the full-order model to obtain the member stresses. The global responses and member stresses are benchmarked with the results from a direct full-order dynamic FE analysis for various environmental conditions. The presented framework is found to significantly increase the efficiency of the simulation while retaining a similar accuracy, and it forms a critical step for the ongoing development of digital twins of fixed offshore structures.