Effects of excitation frequency on detection accuracy of orthogonal wavelet decomposition for structural health monitoring

Accurate estimation of stiffness loss is a challenging problem in structural health monitoring. In this study orthogonal wavelet decomposition is used for identifying the stiffness loss in a single degree of freedom spring-mass-damper system. The effects of excitation frequency on accuracy of damage detection is investigated. Results show that pseudo-alias effects caused by the orthogonal wavelet decomposition (OWD), affect damage detectability. It is demonstrated that theproposed approach is sunable for damage detection when the excitation frequency is relatively low. This study shows how a priori knowledge about the signal and ability to control the sampling frequency can enhance damage detectability.     

汶川地震对建筑结构设计的启示

汶川大地震造成了大量房屋建筑的破坏。本文通过对钢筋混凝土结构和砌体结构的震害研究、非结构构件的震害分析以及典型震害进行的调查归类分析,探讨了此次地震对建筑结构抗震设计的启示,总结了经验并给出了以下相关的建议：（1）适当提高抗震设防标准。（2）房屋建筑设计要更好实现“强柱弱梁”机制：改进加强楼梯间设计：进一步研究非结构构件与主体结构的连接。（3）进一步推广隔震技术。     

汶川地震框架柱震害的初步分析

按照框架结构抗震概念设计的要求,结构应具有多道抗震防线,其中一个原则是“强柱弱梁”。但是在汶川地震中,框架结构柱的破坏明显重于梁,柱端与节点的破坏较为突出,即所谓的“强梁弱柱”结构很普遍。在对地震破坏区实地考察的基础上,对框架结构梁柱节点处的破坏以及柱顶、柱脚和柱身的震害进行分类,分析了各种震害的原因,总结了框架结构中框架柱的破坏特点,从期为将来框架柱的抗震设计提供震害经验。     

基于TCK损伤本构的岩石爆破效应数值模拟

脆性岩石在爆破载荷下的动态破碎行为是工程技术人员所关心的,采用数值法预估岩体破裂范围和损伤大小对施工安全具有重大意义,其中合理的岩石损伤模型是关键。假设岩体破坏近似服从Mises屈服准则,且考虑到岩体的应变硬化特性,把Taylor-Chen-Kuszmaul（TCK）模型中的拉裂损伤演化方程和材料双线性、弹塑性本构耦合到一起,并简洁地嵌入到有限元分析软件LS-DYNA中,通过半无限岩体中柱形药包爆破实例验证了其合理性与准确性。对球形药包爆破问题也进行了数值分析。该损伤模型及其数值模拟在工程中具有一定的参考价值。     

岩石类材料疲劳破坏裂纹扩展分析的数值方法

在进行岩石类材料疲劳断裂破坏的数值分析时,将损伤力学将裂纹形成与裂纹扩展两个过程有机结合在一起。根据裂纹形成阶段的疲劳曲线（S-N）,描述疲劳发展的损伤演变方程,提出了疲劳裂纹扩展的数值计算方法。建立了扩展阶段中裂纹尺寸与载荷循环次数之间的关系,从而将裂纹萌生与扩展这两个独立过程纳入一个统一的理论体系。该方法与断裂力学结合计算出的疲劳寿命与试验值相吻合。     

Output‐only structural identification in time domain: Numerical and experimental studies

By identifying changes in stiffness parameters, structural damage can be detected and monitored. Although considerable progress has been made in this research area, many challenges remain in achieving robust structural identification based on incomplete and noisy measurement signals. The identification task is made even more difficult if measurement of input force is to be eliminated. To this end, an output‐only structural identification strategy is proposed to identify unknown stiffness and damping parameters. A non‐classical approach based on genetic algorithms (GAs) is adopted. The proposed strategy makes use of the recently developed GA‐based method of search space reduction, which has shown to be able to accurately and reliably identify structural parameters from measured input and output signals. By modifying the numerical integration scheme, input can be computed as the parameter identification task is in progress, thereby eliminating the need to measure forces. Numerical and experimental results demonstrate the power of the strategy in accurate and efficient identification of structural parameters and damage using only incomplete acceleration measurements. Copyright © 2007 John Wiley & Sons, Ltd.     

Performance of a damage‐protected beam–column subassembly utilizing external HF2V energy dissipation devices

Ductile‐jointed connections, which generally require some form of supplementary energy dissipation to alleviate displacement response, typically employ mild steel energy dissipation devices. These devices run the risk of low‐cycle fatigue, are effective only for peak cycles that exceed prior displacements, are prone to buckling, and may require replacement following an earthquake. This study presents an experimental investigation employing an alternative to mild steel: a high force‐to‐volume (HF2V) class of damper‐based energy dissipation devices. Tests are performed on a near full‐scale beam–column joint subassembly utilizing externally mounted compact HF2V devices. Two configurations are considered: an exterior joint with two seismic beams and one gravity beam framing into a central column, and a corner joint with only one seismic beam and one gravity beam framing into a column. Quasi‐static tests are performed to column drifts up to 4%. The experiments validate the efficacy of the HF2V device concept, demonstrating good hysteretic energy dissipation, and minimal residual device force, allowing ready re‐centring of the joint. The devices dissipate energy consistently on every cycle without the deterioration observed in the yielding steel bar type of devices. The effectiveness of the HF2V devices on structural hysteretic behavior is noted to be sensitive to the relative stiffness of the anchoring elements, indicating that better efficiency would be obtained in an embedded design. Copyright © 2008 John Wiley & Sons, Ltd.     

利用遥感技术提取震害信息方法的研究进展

总结了近年来国内外基于遥感影像提取地震灾害信息的变化检测方法,将其归纳为基于纹理特征提取和光谱特征提取的方法.介绍了最新的遥感技术应用在地震灾害评估中的方法,提出了其技术发展趋势.     

基于EMD方法与RBF神经网络的结构损伤检测

针对结构损伤检测中损伤的识别、定位以及程度的标定这三个独立并按一定先后顺序进行的检测过程,提出了一种能将以上三者同时进行的联合检测方法。该方法首先利用经验模态分解(EMD)方法将三层钢筋混凝土剪切型结构在各种损伤工况下的顶层地震作用加速度响应分解为若干固有模态函数(IMF)分量,然后以此IMF分量和未经EMD分解的原始加速度响应数据来构造损伤标识量,作为特征参数依次输入到径向基函数神经网络(RBFNN)中进行损伤检测。给出了应用此方法的具体步骤,通过仿真实验证明了利用该方法进行结构损伤一次检测的可行性和有效性,结果表明,由加速度响应经EMD分解而得到的IMF分量输入到RBFNN中能够更为精确地一次检测出结构所有损伤信息,并且RBFNN在结构损伤损度大时具有更好的检测效果。