空间网格结构损伤探测的研究进展

空间网格结构损伤探测技术是目前结构工程领域研究的热点和难点．根据国内外的最新文献信息，讨论了损伤探测技术在空间网格结构中的应用及最新的研究进展，对现有文献中的方法进行了分类和评述．重点介绍了目前比较适用的柔度法和模型修正方法，对该领域中尚存在的问题进行了讨论，对今后的发展方向及趋势进行了展望．     

水泥水化的微结构与性能演化研究进展

水泥是一类重要的工程结构材料,其力学性能依赖于水泥的水化过程．综述了水泥水化的微结构和性能演化的研究进展;评述了研究水泥水化过程的实验方法和理论方法;详细介绍和评述了水泥水化的微结构仿真模型、力学分析模型以及建立微结构．性能关系的基本方法．分析和展望了未来水泥水化的主要问题和研究方向．     

随机有限元动力分析方法的研究进展

对随机结构动力分析方法,包括随机模拟法、摄动随机有限元法、动态随机有限元法和正交展开法等进行了评述,介绍了该领域内的研究进展,并讨论了研究中存在的问题以及发展方向．      

有限元后验误差估计方法的研究进展

有限元后验误差估计主要有两大类,即,残余型和后处理型．本文详细介绍了后验误差估计的二大类方法的起源、发展过程以及最新的研究进展．着重介绍了ＺＺ误差估计方法的基本原理及其最新的研究进展,并对各种误差估计方法的优缺点进行评述．对有限元后验误差估计方法今后的研究方向提出了看法．     

失谐叶片-轮盘结构系统振动局部化问题的研究进展

对近２０年来国内外关于失谐叶片－轮盘结构系统振动局部化问题研究的进展进行了较为详细的评述和讨论,文中首先说明了振动局部化问题的基本概念,然后对失谐叶片－轮盘结构系统模态局部化和动态响应局部化在分析模型、求解方法及其基本性质和规律等方面的研究进展进行了较为全面的评述,最后提出了今后应深入研究的问题．     

复合材料胶接修理损伤金属结构的研究现状

损伤金属飞机结构的复合材料补片胶接修理技术是一项经济而有效的结构延寿方法．详细 叙述了这种修理技术的优缺点及其技术要点,涉及的内容包括胶粘剂的选择、补片材料和参数设计、 表面处理、无损检测和试验验证等．介绍了国内外对该项先进修理技术的研究现状和在飞机结构上 的实际使用情况．评述了现有的理论分析和试验研究方法及其结果．      

结构健康监测中的损伤检测技术研究进展

对结构健康监测研究中的结构损伤检测方法及其特点进行了介绍.从基于结构模态分析的方法和基于结构动态试验信号处理的方法两方面,阐述了结构健康监测中的损伤检测方法及其最新研究进展.基于结构模态分析的结构损伤检测方法是针对整个结构的检测,使用的模态都限于低阶模态范围内,所检测的结构应容易建立有限元模型,便于进行响应预测.基于结构动态试验信号处理的损伤检测方法通常是针对结构局部构件的损伤检测,不需要对结构进行有限元建模,而直接从测试的动态响应信号中提取表征结构损伤的特征参数.文中提出了对比性损伤检测方法和非对比性损伤检测方法的概念,并对结构损伤检测中常用的信息传感与处理技术进行了论述,指出了结构损伤检测研究中应该考虑的传感器布置问题.提出了将损伤信息的主动检测与被动检测相结合进行损伤程度判断和剩余寿命估计等问题是有待进一步深入研究的课题.      

船舶碰撞的研究方法和进展

本文简要评述船舶碰撞的研究进展和发展趋势．介绍了船舶碰撞研究的内容和方法（包括理论的和实验的）．本文重点阐述实船试验方法，包括实尺试验的基本步骤，实尺试验的输入参数选择和试验地点选择．最后提出了综合性意见，并介绍了国内在碰撞研究方面已做的工作和将要做的工作．     

非定常流场降阶模型及其应用研究进展与展望

非定常流场模型降阶技术的出现,为CFD／CSD耦合数值模拟方法在工程设计中的广泛应用提供了新机遇．在对非线性系统模型降阶理论与方法进行概述的基础上,全面系统地介绍了非定常流场降阶模型的国内外研究进展．按基于系统辨识的降阶模型和基于流场特征结构的降阶模型两大类进行评述,比较了各种降阶模型的优缺点并指出了进一步改进的思路．...     

结构塑性动力响应当前的研究进展和重点

本文从结构塑性动力响应的工程背景和研究特点出发,简要介绍了此学科当前的研究进展和重点。主要评述了国内外学者所关注的一些基本理论问题和研究方法。同时也提出了数值分析和近似方法中尚待解决的问题。     

Détection de fissures dans les poutres d'acier : une nouvelle approche par balayage de mesures de vibrations

In the last few years, the techniques of detection and identification of damage in structures benefited from important research efforts. Several methods of non-destructive damage detection, such as techniques based on modal analysis, were developed in addition to the traditional methods. The difficulties encountered by these techniques are their low performance, considering the industrial requirements to detect cracks as early as possible.     

Tikhonov's regularization approach in mode shape curvature analysis applied to damage detection

In this paper an on-going research effort aimed at detecting and localizing damage in plate-like structures by using mode shape curvature based damage detection algorithm is described. The proposed damage index uses exclusively mode shape curvature data from the damaged structure. This method was originally developed for beam-like structures. In this paper, the method is generalized to plate-like structures which are characterized by two-dimensional mode shape curvature. To calculate mode shape curvatures from the measured mode shapes, three approaches are proposed: the first one is the well-known central difference approximation, the other two are classical approaches based on Tikhonov's regularization technique with smoothing functional. The applicability and effectiveness of the proposed damage detection algorithms are demonstrated experimentally on an aluminium plate containing mill-cut damage. The validity of the method is assessed by comparing the identification results of the experimental test case to the results obtained from the simulated test case. The modal frequencies and the corresponding mode shapes of the aluminium plate are obtained via finite element models for numerical simulations and by using a scanning laser vibrometer (SLV) for the experimental study.     

Closed-loop based detection of debonding of piezoelectric actuator patches in controlled beams

A practical closed loop control based damage detection scheme is presented aiming at detecting small damage in controlled structures. In this detection method, a deliberately designed sensitive control system is used to augment small frequency shifts caused by small structural damage. Since a small frequency change can destabilize such a sensitive control system, it can be easily observed and thus the small damage can be detected. To perform active control of structures, a modal velocity observer (MVO) is designed by combining two observers, which can be used for multi-mode control. By properly choosing the parameters in the MVO, it can be made very sensitive to the frequency shift suitable for small damage detection. To demonstrate this method in detecting small debonding of piezoelectric patches on a smart beam, a detailed model of beam with partly debonded piezoelectric patches is established based on the Timoshenko’s beam theory, in which both transverse and longitudinal vibrations are modeled, and a characteristic equation is also derived to examine the effect of the debonding on the control performance. Both the model and the control law are validated by an active vibration control experiment. Finally, an example is given to illustrate application of the method in piezoelectric actuator debonding detection. The results show that even a small edge debonding in a piezoelectric actuator patch can make the sensitive control system unstable, and therefore can be detected.     

基于提高频率灵敏度的结构损伤统计识别方法

提出了一种基于反馈控制结构动力特性的损伤统计识别方法。该方法采用基于独立模态空间的反馈控制,有目的地配置闭环系统的极点,根据损伤前后闭环系统的特征值构造损伤指标。采用假设检验判断损伤是否发生,并剔除特征量中损伤程度的影响,采用统计模式识别方法识别损伤位置。Benchmark结构的数值算例表明,本文提出的损伤识别方法能够较显著地提高模态频率对刚度变化的灵敏度,准确有效地检测在噪声环境下结构小损伤是否发生以及识别损伤位置。     

Application of particle swarm optimization and genetic algorithms to multiobjective damage identification inverse problems with modelling errors

Structural health monitoring has become an important research topic in conjunction with the damage assessment of structures. The use of system identification approaches for damage detection using inverse methods has become more widespread in recent years and their formulation in a multiobjective framework has become more usual. Inverse problems require the use of an initial baseline model of the undamaged structure. Modelling errors in the baseline model whose effects exceed the modal sensitivity to damage are critical and make an accurate estimation of damage impossible. Artificial intelligence techniques based on genetic algorithms are used increasingly as an alternative to more classical techniques to solve this kind of problem especially due to their feasibility for managing multiobjective problems. This paper outlines an understanding of how particle swarm optimization methods operate in damage identification problems based on multiobjective FE updating procedures and takes modelling errors into account. One experimental example is used to show their performance in comparison with genetic algorithms.     

基于改进残余力向量法的桁架结构损伤诊断

提出一种基于改进残余力向量法的桁架结构损伤诊断方法. 先由灵敏度分析, 求出结构刚度联系矩阵,再由刚度联系矩阵将损伤后的刚度摄动矩阵展开成对角矩阵,代入 残余力向量方程,得到由刚度联系矩阵表示的新的残余力向量方程,此方程可以直接求解, 即可诊断出桁架结构的损伤杆件及其损伤程度. 对于实测中难以获得完备振型的情况,采用 模态扩阶的方法来获得完备的测试振型. 最后以一桁架结构进行数值仿真分析,证实了该方 法的有效性.     

基于L1正则化的随机梁式结构静力损伤识别方法

提出了一种结合摄动法和L1正则化方法的随机梁式结构静力损伤识别方法。考虑初始模型误差和测量误差的影响,建立了关于随机损伤指数的控制方程,并将摄动法和L1正则化方法相结合,对随机损伤指数的控制方程进行求解,进而从概率的角度对结构的损伤进行识别。损伤试验结果表明,和传统的最小二乘求解法相比,本文方法能够更为准确地识别多处局部损伤的位置及大小,对实际结构损伤检测具有较好的参考价值。     

复合材料结构内埋光纤网络测试其内部损伤试验研究

本文介绍了在复合材料层板内埋入光纤网络，用于测试层板冲击损伤的试验方法和结果。试验表明该法探测损伤是有效的，具有广阔的发展前途。     

Nondestructive testing method based on lamb waves for localization and extent of damage

Based on Lamb wave analysis of propagation in plate-like structures, a damage detection method is proposed that not only locates the position of the damage accurately but also estimates its size. Similar damage detection methods focus only on localization giving no quantitative estimation of extent. To improve detection, we propose two predictive circle methods for size estimation. Numerical simulations and experiments were performed for an aluminum plate with a hole. Two PZT configurations of different sizes were designed to excite and detect Lamb waves. From cross-correlation analysis, the damage location and extent can be determined. Results show that the proposed method enables a better quantitative resolution in detection, the size of the inspection area influences the accuracy of damage identification, and the closer is the inspected area to the damage, the more accurate are the results. The method proposed can be developed into a multiple-step detection method for multi-scale analysis with prospective accuracy.