Modal Parameter Identification Method of Jacket Platform Structure Based on AFDD and Optimized FBFFT
作者机构:School of Mechanical Science and EngineeringNortheast Petroleum UniversityDaqing 163318China
出 版 物:《China Ocean Engineering》 (中国海洋工程(英文版))
年 卷 期:2023年第37卷第3期
页 面:393-407页
核心收录:
学科分类:081505[工学-港口、海岸及近海工程] 0707[理学-海洋科学] 08[工学] 0815[工学-水利工程] 0824[工学-船舶与海洋工程] 0814[工学-土木工程] 0701[理学-数学] 082401[工学-船舶与海洋结构物设计制造]
基 金:financially supported by the Natural Science Foundation of Heilongjiang Province of China (Grant No. LH2020E016) the National Natural Science Foundation of China (Grant No.11472076)
主 题:jacket platform uncertain modal parameter identification FBFFT method environmental excitation AFDD method Powell optimization
摘 要:Offshore platforms are susceptible to structural damage due to prolonged exposure to random loads,such as wind,waves,and *** is particularly true for platforms that have been in service for an extended *** the modal parameters of offshore platforms is crucial for damage diagno sis,as it serves as a prerequisite and foundation for the ***,it holds great significance to prioritize the identification of these *** at the shortcomings of the traditional Fast Bayesian Fast Fourier Transform(FBFFT) method,this paper proposes a modal parameter identification method based on Automatic Frequency Domain Decomposition(AFDD) and optimized *** introducing the AFDD method and Powell optimization algorithm,this method can automatically identify the initial value of natural frequency and solve the objective function efficiently and *** order to verify the feasibility and effectiveness of the proposed method,it is used to identify the modal parameters of the IASC-ASCE benchmark model and the j acket platform structure model,and the Most Probable Value(MPV) of the modal parameters and their respective posterior uncertainties are successfully *** identification results of the IASC-ASCE benc hmark model are compared with the identification re sults of the MODE-ID method,which verifies the effectivene ss and accuracy of the proposed method for identifying modal *** provides a simple and feasible method for quantifying the influence of uncertain factors such as environmental parameters on the identification results,and also provide s a reference for modal parameter identification of other large structures.