An experimental study on damage detection of structures using a timber beam

Using vibration methods for the damage detection and structural health monitoring in bridge structures is rapidly developing. However, very little work has so far been reported on timber bridges. This paper intends to address such shortcomings by experimental investigation on a timber beam using a vibration based method to detect damage. A promising damage detection algorithm based on modal strain energy was adopted and modified to locate/evaluate damage. A laboratory investigation was conducted on a timber beam inflicted with various damage scenarios using modal tests. The modal parameters obtained from the undamaged and damaged state of the test beam were used in the computation of damage index, were then applied using a damage detection algorithm utilising modal strain energy and a statistical approach to detect location of damage. A mode shape reconstruction technique was used to enhance the capability of the damage detection algorithm with limited number of sensors. The test results and analysis show that location of damage can be accurately identified with limited sensors. The modified method is less dependent on the number of modes selected and can detect damage with a higher degree of confidence.     

Distinguishing between sensor fault, structural damage, and environmental or operational effects in structural health monitoring

Discrimination between three different sources of variability in a vibration-based structural health monitoring system is investigated: environmental or operational effects, sensor faults, and structural damage. Separating the environmental or operational effects from the other two is based on the assumption that measurements under different environmental or operational conditions are included in the training data. Distinguishing between sensor fault and structural damage utilizes the fact that the sensor faults are local, while structural damage is global. By localizing the change to a sensor which is then removed from the network, the two different influences can be separated. The sensor network is modelled as a Gaussian process and the generalized likelihood ratio test (GLRT) is then used to detect and localize a change in the system. A numerical and an experimental study are performed to validate the proposed method.     

Stewart六自由度运动平台自振频率的分析与计算研究

提出了一种对重载的Stewart六自由度运动平台动力学模型局部线性化的新方法,将其六个作动杆简化成质量-弹簧系统.然后采用转移矩阵法将各局部坐标系中建立的质量矩阵、刚度矩阵、阻尼矩阵以及系统的位移和所受外力均转移到总的固定坐标系,运用D＇Alembert原理建立其振动的线性运动微分方程.最后通过结合Stewart平台的运动学反解计算方法,对该平台在运动过程中的自振频率进行了分析和计算,计算结果表明对于这种重载的Stewart运动平台,其各个自振频率在整个工作空间内的变化幅度不大,该结果为重载Stewart平台的设计和控制提供了理论依据,已被成功应用于 Study on the analysis and caculation of the natural frequencies of the stewart motion platform with six degree of freedom DAI Yu-liang　 ZHU Ying　 YU Ke-yun　 LIU Zu-yuan　 作者单位：戴余良（武汉理工大学,交通学院,湖北,武汉,430063;海军工程大学,船舶与动力学院,湖北,武汉,430033）     

基于振动噪声的柴油机油底壳结构优化研究

基于模态参数的动态特性,针对某型柴油机振动噪声超标问题,利用有限元软件ABAQUS的模态分析功能对主要噪声源油底壳的自由模态进行计算,从固有频率方面着手优化其结构。优化后的其固有频率大幅提高,经整机振动噪声测试,减振降噪效果明显,解决了振动噪声超标问题。