Phased array ultrasonic method for robotic preload measurement in offshore wind turbine bolted connections
Javadi, Yashar and Mills, Brandon and MacLeod, Charles and Lines, David and Abad, Farhad and Lotfian, Saeid and Mehmanparast, Ali and Pierce, Gareth and Brennan, Feargal and Gachagan, Anthony and Mineo, Carmelo (2024) Phased array ultrasonic method for robotic preload measurement in offshore wind turbine bolted connections. Sensors, 24 (5). 1421. ISSN 1424-8220 (https://doi.org/10.3390/s24051421)
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Abstract
This paper presents a novel approach for preload measurement of bolted connections, specifically tailored for offshore wind applications. The proposed method combines robotics, Phased Array Ultrasonic Testing (PAUT), nonlinear acoustoelasticity, and Finite Element Analysis (FEA). Acceptable defects, below a pre-defined size, are shown to have an impact on preload measurement, and therefore conducting simultaneous defect detection and preload measurement is discussed in this paper. The study demonstrates that even slight changes in the orientation of the ultrasonic transducer, the non-automated approach, can introduce a significant error of up to 140 MPa in bolt stress measurement and therefore a robotic approach is employed to achieve consistent and accurate measurements. Additionally, the study emphasises the significance of considering average preload for comparison with ultrasonic data, which is achieved through FEA simulations. The advantages of the proposed robotic PAUT method over single-element approaches are discussed, including the incorporation of nonlinearity, simultaneous defect detection and stress measurement, hardware and software adaptability, and notably, a substantial improvement in measurement accuracy. Based on the findings, the paper strongly recommends the adoption of the robotic PAUT approach for preload measurement, whilst acknowledging the required investment in hardware, software, and skilled personnel.
ORCID iDs
Javadi, Yashar ORCID: https://orcid.org/0000-0001-6003-7751, Mills, Brandon, MacLeod, Charles ORCID: https://orcid.org/0000-0003-4364-9769, Lines, David ORCID: https://orcid.org/0000-0001-8538-2914, Abad, Farhad ORCID: https://orcid.org/0000-0001-6765-8593, Lotfian, Saeid ORCID: https://orcid.org/0000-0001-8542-933X, Mehmanparast, Ali ORCID: https://orcid.org/0000-0002-7099-7956, Pierce, Gareth ORCID: https://orcid.org/0000-0003-0312-8766, Brennan, Feargal ORCID: https://orcid.org/0000-0003-0952-6167, Gachagan, Anthony ORCID: https://orcid.org/0000-0002-9728-4120 and Mineo, Carmelo;-
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Item type: Article ID code: 88262 Dates: DateEvent22 February 2024Published20 February 2024Accepted8 December 2023SubmittedSubjects: Technology > Engineering (General). Civil engineering (General) > Engineering design Department: Faculty of Engineering > Electronic and Electrical Engineering
Strategic Research Themes > Advanced Manufacturing and Materials
Faculty of Engineering > Naval Architecture, Ocean & Marine Engineering
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 27 Feb 2024 11:45 Last modified: 05 Dec 2024 03:26 URI: https://strathprints.strath.ac.uk/id/eprint/88262