Damage identification of offshore jacket platforms in a digital twin framework considering optimal sensor placement

A new digital twin (DT) framework with optimal sensor placement (OSP) is proposed to accurately calculate the modal responses and identify the damage ratios of the offshore jacket platforms. The proposed damage identification framework consists of two models (namely one OSP model and one damage iden...

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Bibliographic Details
Published in:Reliability engineering & system safety Vol. 237; p. 109336
Main Authors: Wang, Mengmeng, Incecik, Atilla, Feng, Shizhe, Gupta, M.K., Królczyk, Grzegorz, Li, Z
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.09.2023
Subjects:
Damage identification
Digital twin
Offshore jacket platform
Optimal sensor placement
Optimal sensor placement
Damage identification
Digital twin
Offshore jacket platform
ISSN:0951-8320, 1879-0836
Online Access:Get full text
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Summary:A new digital twin (DT) framework with optimal sensor placement (OSP) is proposed to accurately calculate the modal responses and identify the damage ratios of the offshore jacket platforms. The proposed damage identification framework consists of two models (namely one OSP model and one damage identification model). The OSP model adopts the multi-objective Lichtenberg algorithm (MOLA) to perform the sensor number/location optimization to make a good balance between the sensor cost and the modal calculation accuracy. In the damage identification model, the Markov Chain Monte Carlo (MCMC)-Bayesian method is developed to calculate the structural damage ratios based on the modal information obtained from the sensory measurements, where the uncertainties of the structural parameters are quantified. The proposed method is validated using an offshore jacket platform, and the analysis results demonstrate efficient identification of the structural damage location and severity.
ISSN:0951-8320
1879-0836
DOI:10.1016/j.ress.2023.109336