摘要
[目的]有效监测并识别大型海洋观测浮标在海上所受撞击载荷的位置和大小,对优化浮标结构设计及评估浮标观测数据质量具有重要意义。为了提升撞击载荷的识别精度,[方法]提出一种基于改进影响系数的撞击载荷两步识别方法,该方法通过解耦位置识别与载荷值计算过程,将传统影响系数矩阵拆分为位置识别矩阵和载荷识别矩阵,由此提升了载荷识别精度。通过某大型海洋观测浮标数值模型,验证所提两步法在不同碰撞载荷作用下的识别性能。[结果]结果表明,两步法受载荷作用位置影响较小,在低噪声单载荷工况下表现出较好的识别效果,且随着噪声水平的提高展现出良好的抗噪能力。[结论]对于一定数量内的撞击载荷,两步法相较于常规方法表现出更稳定、更精确的识别效果,可应用于浮标结构健康监测中。
[Purpose]Effective monitoring and identification of the location and magnitude of impact loads on large oceanographic buoys at sea are of significant importance for optimizing buoy structural design and evaluating the quality of observational data.To improve impact load identification accuracy,[Method]a two-step impact load identification method is proposed based on modified influence coefficients.The method decouples the location identification and load calculation processes by decomposing the conventional influence coefficient matrix into a location identification matrix and a load identification matrix,thereby enhancing identification precision.The identification performance of the two-step method proposed under various impact load scenarios is verified using a numerical model of a large oceanographic buoy.[Result]Results demonstrate that the two-step method is less affected to load application position and exhibits excellent identification performance under single-load conditions with low noise levels,while maintaining strong noise resistance as noise levels increase.[Conclusion]Compared to conventional methods,the two-step method demonstrates more stable and accurate identification for impact loads within a certain quantity range,making it applicable to structural health monitoring of buoys.
作者
陈闯
王旭
徐耕读
甘进
CHEN Chuang;WANG Xu;XU Gengdu;GAN Jin(School of Naval Architecture,Ocean and Energy Power Engineering,Wuhan University of Technology,Wuhan 430063,China;Institute of Oceanology,Chinese Academy of Sciences,Qingdao 266071,Shandong,China)
出处
《船舶工程》
北大核心
2025年第11期188-198,共11页
Ship Engineering
基金
国家重点研发计划项目(2022YFC3104300)
国家自然科学基金项目(41876102)。
关键词
大型浮标
撞击载荷
影响系数矩阵
载荷识别
健康监测
large-scale buoy
impact load
influence coefficient matrix
load identification
health monitoring
