[1] |
BAO Xingxian, FAN Tongxuan, SHI Chen, et al. Deep learning methods for damage detection of jacket-type offshore platforms[J]. Process Safety and Environmental Protection, 2021, 154: 249-261.
doi: 10.1016/j.psep.2021.08.031
|
[2] |
BERANL D. Load vectors for damage localization[J]. Journal of Engineering Mechanics, 2002, 128(1): 7-14.
doi: 10.1061/(ASCE)0733-9399(2002)128:1(7)
|
[3] |
雷鹰, 刘丽君, 郑翥鹏. 结构健康监测若干方法与技术研究进展综述[J]. 厦门大学学报:自然科学版, 2021, 60(3): 630-640.
|
|
LEI Ying, LIU Lijun, ZHENG Zhupeng. A review of research progress on several methods and technologies for structural health monitoring[J]. Journal of Xiamen University:Natural Science, 2021, 60(3): 630-640.
|
[4] |
姜锐. 铁路客站结构健康监测应用现状及展望[J]. 中国安全科学学报, 2020, 30(增 1) : 71-76.
|
|
JIANG Rui. Research status and prospect of health monitoring on railway station structures[J]. China Safety Science Journal, 2020, 30(S1): 71-76.
doi: 10.16265/j.cnki.issn1003-3033.2020.S1.014
|
[5] |
DOEBLING S W, FARRAR C R, PRIME M B, et al. Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: a literature review[R]. Los Alamos National Laboratory Report LA-13070-MS, 1996.
|
[6] |
BECK J L. Bayesian system identification based on probability logic[J]. Structural Control and Health Monitoring, 2010, 17(7): 825-847.
doi: 10.1002/stc.v17:7
|
[7] |
BECK J L, AU S K. Bayesian updating of structural models and reliability using Markov chain Monte Carlo simulation[J]. Journal of Engineering Mechanics, 2002, 128(4): 380-391.
doi: 10.1061/(ASCE)0733-9399(2002)128:4(380)
|
[8] |
卫军, 杜永潇, 吴志强, 等. 基于模态应变能和Bayes理论的梁结构损伤识别[J]. 铁道科学与工程学报, 2019, 16(8): 2052-2061.
|
|
WEI Jun, DU Yongxiao, WU Zhiqiang, et al. Damage identification of beam structures based on modal strain energy and Bayes theory[J]. Journal of Railway Science and Engineering, 2019, 16(8): 2052-2061.
|
[9] |
FATHI A, ESFANDIARI A, FADAVIE M, et al. Damage detection in an offshore platform using incomplete noisy FRF data by a novel Bayesian model updating method[J]. Ocean Engineering, 2020, 217: DOI: 10.1016/j.oceaneng.2020.108023.
doi: 10.1016/j.oceaneng.2020.108023
|
[10] |
冷建成, 田洪旭, 徐爽, 等. 海洋平台的改进模态应变能损伤诊断方法[J]. 中国安全科学学报, 2018, 28(12): 14-19.
doi: 10.16265/j.cnki.issn1003-3033.2018.12.003
|
|
LENG Jiancheng, TIAN Hongxu, XU Shuang, et al. Improved damage diagnosis method for offshore platforms based on modal strain energy[J]. China Safety Science Journal, 2018, 28(12): 14-19.
doi: 10.16265/j.cnki.issn1003-3033.2018.12.003
|
[11] |
CHING J, MUTO M, BECK J L. Structural model updating and health monitoring with incomplete modal data using Gibbs sampler[J]. Computer-aided Civil & Infrastructure Engineering, 2010, 21(4): 242-257.
|
[12] |
刘书奎, 吴子燕, 张玉兵. 基于Gibbs抽样的马尔科夫蒙特卡罗方法在结构物理参数识别及损伤定位中的研究[J]. 振动与冲击, 2011, 30(10): 203-207.
|
|
LIU Shukui, WU Ziyan, ZHANG Yubing. Research on Markov Monte Carlo method based on Gibbs sampling in structural physical parameter identification and damage location[J]. Journal of Vibration and Shock, 2011, 30(10): 203-207.
|
[13] |
李小华, 谢礼立, 公茂盛. 结构物理参数识别的贝叶斯估计马尔可夫蒙特卡罗方法[J]. 振动与冲击, 2010, 29(4): 59-63.
|
|
LI Xiaohua, XIE Lili, GONG Maosheng. Bayesian estimation Markov Monte Carlo method for identification of physical parameters of structures[J]. Journal of Vibration and Shock, 2010, 29(4): 59-63.
|
[14] |
YUEN K V, AU S K, BECK J L. Two-stage structural health monitoring approach for phase Ⅰ benchmark studies[J]. Journal of Engineering Mechanics, 2004, 130(1): 16-33.
doi: 10.1061/(ASCE)0733-9399(2004)130:1(16)
|
[15] |
AU S K. Fast Bayesian FFT method for ambient modal identification with separated modes[J]. ASCE Journal of Engineering Mechanics, 2011, 137(3): 214-226.
doi: 10.1061/(ASCE)EM.1943-7889.0000213
|
[16] |
HAERI M H, LOTFI A, DOLATSHAHI K M, et al. Inverse vibration technique for structural health monitoring of offshore jacket platforms[J]. Applied Ocean Research, 2017, 62: 181-198.
doi: 10.1016/j.apor.2016.11.010
|