摘要
针对复合材料层压板疲劳损伤量化评估困难与其演化不确定性问题,提出了基于多特征交互融合的复材板疲劳损伤演化追踪方法。通过构建Lamb波信号多域特征交互融合的损伤指数观测方程,结合应变能释放模型与粒子滤波算法实现了复材板损伤状态的追踪。通过提取Lamb波信号的时频域特征、动态时间规整特征和传递熵特征等多域特征,全面表征复合材料板疲劳损伤状态,并以此作为损伤状态观测量,建立了复材板的损伤状态空间模型。在研究多域特征与复材板损伤程度的线性相关性的基础上,创新性地引入多变量交互预测模型,对多域损伤特征进行交互融合,建立了Lamb波信号特征与复材板损伤评价指数之间的映射关系,形成了损伤指数观测方程。在复材板应变能释放率模型基础上,综合考虑损伤演化的不确定性因素,利用粒子滤波算法实现了对复材板裂纹密度与脱层大小等损伤状态的追踪。通过有限元仿真及T700G单向碳纤维预浸料制成的复材板疲劳试验数据的分析,验证了所提出方法在追踪和预测复材板损伤状态方面的有效性与准确性。本研究不仅揭示了损伤指数的演化规律,还为复材板损伤的实时监测和演化预测提供了新的技术途径。
To address the challenges in the quantitative damage evaluation and the uncertainty in damage evolution of composite laminate structures,a fatigue damage evolution tracking method for composite laminates based on multi-feature interactive fusion is proposed.This paper proposes a method for tracking the damage state of composite plates by constructing a the damage index observation equation based on the interactive fusion of multi-domain features,combined with a strain energy release model and a particle filter algorithm.By extracting multi-domain features of Lamb wave signals,such as time-frequency domain features,dynamic time warping features,and transfer entropy features,the fatigue damage state of composite plates is comprehensively characterized.These features are used as observations of the damage state,and a damage state space model for the composite plate is established.On the basis of studying the linear correlation between multi-domain features and the degree of damage in the composite plate,a multivariate interactive prediction model is innovatively introduced to fuse the multi-domain damage features interactively.This establishes a mapping relationship between Lamb wave signal features and the damage evaluation index of the composite plate,forming the damage index observation equation.Building on the strain energy release rate model of the composite plate and considering the uncertainty factors in damage evolution,the particle filter algorithm is employed to track the damage state,such as crack density and delamination size,in the composite plate.The effectiveness and accuracy of the proposed method in tracking and predicting the damage state of composite plates are validated through finite element simulations and fatigue test data analysis of composite plates made from T700G unidirectional carbon fiber prepreg.This research not only reveals the evolutionary of the damage index but also provides a new technical approach for real-time monitoring and evolution prediction of damage in composite plates.To address the challenges in the quantitative damage evaluation and the uncertainty in damage evolution of composite laminate structures,a fatigue damage evolution tracking method for composite laminates based on multi-feature interactive fusion is proposed.This paper proposes a method for tracking the damage state of composite plates by constructing a damage index observation equation based on the interactive fusion of multi-domain features,combined with a strain energy release model and a particle filter algorithm.By extracting multi-domain features of Lamb wave signals,such as time-frequency domain features,dynamic time warping features,and transfer entropy features,the fatigue damage state of composite plates is comprehensively characterized.These features are used as observations of the damage state,and a damage state space model for the composite plate is established.To better capture the linear correlation between multi-domain features and the degree of damage in the composite plate,a multivariate interactive prediction model is innovatively introduced to fuse the multi-domain damage features interactively.This establishes a mapping relationship between Lamb wave signal features and the damage evaluation index of the composite plate,forming the damage index observation equation.Building on the strain energy release rate model of the composite plate and considering the uncertainty factors in damage evolution,the particle filter algorithm is employed to track the damage state,such as crack density and delamination size.The effectiveness and accuracy of the proposed method in tracking and predicting the damage state of composite plates are validated through finite element simulations and fatigue test data analysis of composite plates made from T700G unidirectional carbon fiber prepreg.This research not only reveals the evolutionary of the damage index but also provides a new technical approach for real-time monitoring and evolution prediction of damage in composite plates.
作者
刘小峰
周曾亮
柏林
Liu Xiaofeng;Zhou Zengliang;Bo Lin(State Key Laboratory of Mechanical Transmission for Advanced Equipment,Chongqing University,Chongqing 400044,China)
出处
《仪器仪表学报》
北大核心
2025年第4期102-113,共12页
Chinese Journal of Scientific Instrument
基金
国家科技重大专项项目(J2019-IV-0001-0068)资助。
关键词
复材板
特征交互融合
应变能释放率模型
粒子滤波
寿命预测
composite laminate
feature interaction fusion
strain energy release rate model
particle filtering
life prediction
作者简介
通信作者:刘小峰,2007年于重庆大学获得工学博士学位,现为重庆大学教授,主要研究方向为工程信号处理、设备监测与故障诊断,智能测试与仪器。E-mail:liuxfeng0080@126.com;周曾亮,2023年于南昌大学获得学士学位,现为重庆大学硕士研究生,主要研究方向为工程信号处理。E-mail:18185047545@163.com。
