Liu Guijie, Wang Shirui, Xie Yingchun, Tian Xiaojie, Leng Dingxin, Malekain Reza, Li Zhixiong
School of Engineering & Key Laboratory of Ocean Engineering of Shandong Province, Ocean University of China, Qingdao 266100, China.
Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0002, South Africa.
Rev Sci Instrum. 2018 Nov;89(11):115005. doi: 10.1063/1.5053735.
This paper aims to detect the structure damage in KT type jacket offshore platforms using acoustic emission analysis. Experimental investigation has been implemented to analyze the transmission characteristics, attenuation law, and source localization of the acoustic emission signals. The range of energy attenuation coefficient α and the signal amplitude attenuation law were obtained from experimental data. Hence, the layout of acoustic emission sensors was optimized based on the energy attenuation to achieve online damage monitoring for KT-jacket platforms. In order to validate the performance of the optimized sensor layout, another experimental test was conducted on the designed KT-jacket offshore platform to locate the acoustic emission sources. The test results demonstrate that a positioning error of 8 mm or below can be obtained using the optimized sensor layout, and the number of sensors can be reduced by 80% compared with that of the theoretical layout. As a result, the optimized sensor layout enables efficient and effective damage detection for KT-jacket offshore platforms.
本文旨在利用声发射分析检测KT型导管架海洋平台的结构损伤。已开展实验研究，以分析声发射信号的传输特性、衰减规律和源定位。从实验数据中获得了能量衰减系数α的范围和信号幅度衰减规律。因此，基于能量衰减对声发射传感器的布局进行了优化，以实现对KT型导管架平台的在线损伤监测。为了验证优化后的传感器布局的性能，在设计的KT型导管架海洋平台上进行了另一项实验测试，以定位声发射源。测试结果表明，使用优化后的传感器布局可获得8mm或以下的定位误差，与理论布局相比，传感器数量可减少80%。结果表明，优化后的传感器布局能够对KT型导管架海洋平台进行高效且有效的损伤检测。
