Inverse vibration technique for structural health monitoring of offshore jacket platforms |
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| Institution: | 1. Laboratoire de Tribologie et Dynamique des Systèmes (LTDS), École Centrale Lyon, 36 Avenue Guy de Collongue, 69134 Ecully Cedex, France;2. Laboratoire de Mécanique, Modélisation et Productique (LA2MP), École Nationale d’Ingénieurs de Sfax, 3038, Tunisia;1. Department of Mechanical and Electrical Engineering, Ocean University of China, Qingdao 266100, China;2. Key Laboratory of Ocean Engineering of Shangdong Province, Ocean University of China, Qingdao 266100, China;1. Department of Engineering, Aarhus University, Denmark;2. Rambøll Oil & Gas, Willemoesgade 2, 6700 Esbjerg, Denmark;3. Center for Oil and Gas – Technical University of Denmark, Elektrovej, Building 375, 2800 Kgs. Lyngby, Denmark;1. State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, PR China;2. School of Civil Engineering, Tianjin University, Tianjin 300072, PR China |
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| Abstract: | In this paper a new approach is introduced for structural health monitoring of offshore jacket platforms. The procedure uses the measured ambient vibration responses and the corresponding readable natural frequencies and mode shapes of the structural system. Since offshore platforms are composed of heavy topsides supported by jacket structures, participation of the first mode is dominant in each direction in the response of the structure under field excitations. Moreover, ambient vibrations such as wave loads and boat impacts only excite the first modes of the structure. Therefore, it is difficult to find higher modes and the pertinent frequencies by use of accelerometers data. The introduced innovative method in this research uses the first few fundamental frequencies and mode shapes of the structure. The algorithm employs the inverse vibration technique to develop a simple two and three dimensional reference model for monitoring health of the structure. To show the efficiency of the proposed procedure, a case study is carried out on the models of a jacket-type platform in the Persian Gulf, namely SPD2. Finally, an uncertainty analysis is performed, due to the existence of noises and uncertainties in input data collected by accelerometers. Results indicate that the proposed method has the ability to detect the induced damages by a high level of accuracy considering probable sources of error. |
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| Keywords: | Structural health monitoring Offshore jacket platforms Inverse vibration problem Uncertainty analysis |
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