基于模糊神经网络和证据理论的结构损伤识别新方法

为了有效利用结构健康监测系统中的多源不确定数据,提高损伤识别的正确率,通过构造模糊神经网络(FNN)分类器,提出了一种新的概率赋值函数构造方法和数据融合损伤识别新方法.该损伤识别方法先对数据预处理,提取有效的特征参数,接着将它作为FNN的输入,构造FNN分类器,最后运用数据融合中的D-S证据理论计算出融合决策结果.为了验证所提方法的有效性,通过一个七层剪切型框架结构的数值模型,分别用单一FNN分类器和数据融合损伤识别方法进行了损伤识别和比较.研究结果表明,本文所提方法比单一决策结果更准确,具有更高的可靠度。     

基于D-S证据理论的黄土滑坡参数估计及应用

岩土参数的不确定性存在,降低了稳定性评价的可靠性,对工程安全、优化设计等方面有重要影响。而D-S证据理论提供了一种解决不确定信息的有效方法,证据理论能够对各自独立的证据加以综合给出一致性结果,并能处理具有模糊和不确定信息的合成问题,可以达到信息互补。适应各领域的人工智能和系统决策、诊断、评估等实际问题和理论基础。结合实际黄土滑坡的滑带土力学参数试验结果,基于D-S证据理论,构造了滑带土力学参数的识别框架、基本可信度分配,从主观和客观上对滑带土力学参数取值进行信度估计,滑坡滑带土力学参数信度估计值与滑带土强度参数反分析结果相吻合,表明基于D-S证据理论的黄土滑坡参数估计的有效性和可行性。     

基于D-S证据理论的黄土滑坡参数估计及应用

岩土参数的不确定性存在,降低了稳定性评价的可靠性,对工程安全、优化设计等方面有重要影响。而D-S证据理论提供了一种解决不确定信息的有效方法,证据理论能够对各自独立的证据加以综合给出一致性结果,并能处理具有模糊和不确定信息的合成问题,可以达到信息互补。适应各领域的人工智能和系统决策、诊断、评估等实际问题和理论基础。结合实际黄土滑坡的滑带土力学参数试验结果,基于D-S证据理论,构造了滑带土力学参数的识别框架、基本可信度分配,从主观和客观上对滑带土力学参数取值进行信度估计,滑坡滑带土力学参数信度估计值与滑带土强度参数反分析结果相吻合,表明基于D-S证据理论的黄土滑坡参数估计的有效性和可行性。     

基于D-S证据理论的地震多属性融合方法在煤层气富集区预测中的应用(英文)

D-S证据理论为融合不确定信息提供了一条很好的思路。本文提出将D-S证据理论用于地震多属性融合的方法,首先在钻孔实测煤层气含量值的指导下优选对煤层气含量值变化敏感的地震属性,然后基于D-S证据理论对优选的地震属性进行融合处理,并将融合结果用于煤层气富集区的预测。实际应用效果表明:预测结果与钻孔实测煤层气含量值基本吻合,本文提出的基于D-S证据理论的地震多属性融合方法用于预测煤层气富集区是可行的。     

地震预报的证据理论方法

概率论和数理统计方法一直是地震预报中处理不确定性的主要方法，但在很多情况下并不是特别有效。本引进了一种新的不确定性处理方法一证据理论方法，介绍了如何用该理论表达地震预报问题。讨论了应用其D-S合成规则进行预报的一般过程，并根据地震综合预报的特点，提出了加权的D-S规则。研究结果表明，证据理论应用于地震预报有其独特的优点。     

苏通大桥结构健康状态评估技术研究与应用（3）：主梁损伤定位

为提高基于模态参数的损伤识别方法的损伤敏感性和噪声鲁棒性,将多源数据融合技术引入到苏通大桥主梁损伤定位方法中。基于D-S证据理论对模态柔度和模态应变能指标进行数据融合,并以苏通大桥扁平钢箱梁为分析对象,对融合后损伤定位指标的应用效果进行了讨论。结果表明：基于数据融合的损伤定位方法具有较强的损伤敏感性,只需要较少的低阶模态信息就能识别主梁的早期损伤;数据融合后,损伤定位指标可以在较强的噪声环境下准确地识别斜拉桥钢箱梁的损伤,具有较好的工程实用性。     

基于非接触式麦克风冲击共振测试的钢-混组合结构界面脱空损伤识别方法研究

针对现有无损检测技术在钢-混组合结构界面混凝土脱空损伤识别问题上普遍存在的测试成本高、识别精度有限及操作过程复杂等不足之处,提出了一种基于麦克风冲击共振测试的非接触式检测方法。首先,基于四边约束矩形薄板振动理论,将钢-混凝土板局部脱空处钢板简化为四边固支约束的板壳模型进行分析。通过在ABAQUS中建立考虑流-固耦合的钢-混凝土板有限元模型,将模拟所得脱空处钢板自振频率值与理论解析结果进行对比,证明该经验公式可有效适用于脱空区域处局部钢板自振频率的估计当中。其次,依据相关声学理论研究成果,利用所建立的有限元模型进行了外部激励下钢-混组合结构声压场信号分布特征研究,结果表明设置及未设置脱空损伤的有限元模型所产生的声压响应存在明显不同,且未脱空模型中信号响应具有幅值大、周期长等特征;同时,针对一钢-混凝土板设置了8种不同类型的损伤工况,并利用麦克风传感器分别进行了基于冲击共振测试的脱空损伤识别。试验结果表明,麦克风摆放位置对测试所得声压信号频响函数基本特征的影响程度并不显著;且针对本试验所设置的损伤工况,该方法基本均能实现有效识别,但对平面尺寸在60 mm以下区域的测试效果并不明显。最后,在对一特定损伤区域进行栅格化处理的基础上,通过开展基于麦克风冲击共振法的损伤成像测试,对该脱空区域的平面轮廓进行了有效识别。除此之外,将试验测试效果分别与传统红外热像检测法、超声波探测法进行了对比分析,验证了该麦克风冲击共振法能够较好地适用于钢-混组合结构的脱空损伤识别问题当中,且具有非接触式、测试成本低、识别效果显著及操作便捷等优点。     

基于类柔度差曲率和频率摄动的结构损伤识别

为提高梁式结构损伤诊断的效率,提出一种基于类柔度差曲率和频率摄动的结构损伤识别方法。首先根据结构振动理论,研究广义柔度矩阵计算公式;再利用模态柔度对结构损伤灵敏性高的优点,改进基于柔度差曲率的损伤定位指标,定义类柔度差曲率LCFC损伤指标,并初步识别损伤;最后基于矩阵摄动进行结构损伤识别结果确认。考虑多种损伤工况,对一简支梁结构进行损伤识别数值模拟验证。结果表明:仅使用一阶模态,建立的类柔度差曲率LCFC指标对梁式结构损伤定位具有良好的诊断效果,且计算工作量小;对于含边界损伤单元的多损伤工况,当损伤程度大于10%时,LCFC指标识别有效;当损伤程度不大于25%时,各工况二阶摄动识别结果精度较高,相对误差较一阶摄动结果明显降低,证明了该方法的实用性、有效性和精确性。     

基于峰值位移均值识别非线性结构的损伤

目前对结构进行损伤识别的方法大多基于结构振动信号的变化而进行，不同振动信号在不同环境下的损伤识别能力各不相同。为验证振动信号在随机环境下的的识别效果，以随机振动理论为基础，针对非线性结构的损伤识别问题，提出了利用结构峰值位移均值进行损伤识别的新方法。该方法不需要结构损伤前的模态参数。通过对两种不同类型非线性结构的数值模拟分析，对该方法进行了验证。结果表明，该方法能够有效识别结构的单处损伤、多处损伤以及损伤程度，充分显示了该指标检测损伤的准确性和敏感性。     

基于小波包分解和模糊聚类的网格结构损伤诊断方法

本文针对网格结构的特点,利用其在快速正弦扫频激励下的动力响应,基于小波包分解频带能量分析和模糊聚类法,提出了一种适合于网格结构的损伤诊断方法。利用两个传感器损伤信息的联合诊断,有效地解决了使用一个传感器无法检测出对称损伤的难题。利用有限元模拟,应用上述方法对一单层球面网壳结构进行了损伤诊断。结果表明,对网壳杆件较小程度的损伤,子频带能量成分变化敏感,用其构造诊断向量和建立损伤样本库,并进行模糊聚类和目标识别,基本可以正确地识别出网壳杆件的损伤位置和程度。同时该方法测试时间短,使用设备少,有可靠的理论基础,具有一定的工程应用参考价值。     

A Monte Carlo study of rainfall forecasting with a stochastic model

A procedure for short-term rainfall forecasting in real-time is developed and a study of the role of sampling on forecast ability is conducted. Ground level rainfall fields are forecasted using a stochastic space-time rainfall model in state-space form. Updating of the rainfall field in real-time is accomplished using a distributed parameter Kalman filter to optimally combine measurement information and forecast model estimates. The influence of sampling density on forecast accuracy is evaluated using a series of a simulated rainfall events generated with the same stochastic rainfall model. Sampling was conducted at five different network spatial densities. The results quantify the influence of sampling network density on real-time rainfall field forecasting. Statistical analyses of the rainfall field residuals illustrate improvement in one hour lead time forecasts at higher measurement densities.     

Earthquake Engineering and Engineering Vibration Aims And Scope

正This journal is established by the Institute of Engineering Mechanics(IEM),China Earthquake Administration,to promote scientific exchange between Chinese and foreign scientists and engineers so as to improve the theory and practice of earthquake hazards mitigation,preparedness,and recovery.To accomplish this purpose,the journal aims to attract a balanced number of papers between Chinese and     

Foreword

Destructive earthquakes have caused great damage in China and the United States and collapsing buildings havecaused many deaths and injuries. The field of earthquake engineering studies earthquake hazards, the occurrence ofearthquakes of various magnitudes, the nature of the ground shaking during an earthquake, the vibration of structuresduring earthquakes, the strengthening of existing structures and the design of new structures to be earthquake resistant,and finally, how to cope with earthquake damage and restore a city to normal functioning. Such efforts are in progressin both countries, but unfortunately, the language barrier interferes with the free flow of information between China andthe Untied States. It would be mutually beneficial if some means could be developed to promote the exchangeof information across the Pacific Ocean. This new journal has been established for this purpose and its success willbe an important step in promoting earthquake engineering in China and the United States.     

WORLD ASSOCIATION FOR SEDIMENTATION AND EROSION RESEARCH(WASER)

正President:Giampaolo Di Silvio,Italy Vice Presidents:Ulrich C.E.Zanke,Germany Zhao-yin Wang,China The World Association for Sedimentation and Erosion Research(WASER),inaugurated on Oct.19,2004,is an independent non-governmental,non-profit organization.The mission of WASER is to promote international co-operation on the study     

Enhancing remote sensing research on global change to improve our understanding on Earth system processes

正Global Change includes climate change and other environmental changes caused by the joint interaction among various layers of Earth. From the positive side, global change provides new opportunities to human and other living forms on Earth. In the meantime, it creates tremendous challenges and negative impact. At present, the negative impacts have reached all primary processes of the global ecosystem and every aspect of human society, especially causing degradation of the ecosystem. For instance, intensive deforestation causes decline of biodiversity; global warming causes sea level rise and increases     

Dissolved Carbohydrate Concentration,Composition, and Bioavailability to Microbial Heterotrophs in Stream Water

Dissolved total carbohydrates (DTCH), dissolved free monosaccharides (DFMS), dissolved organic carbon (DOC), biodegradable DOC (BDOC), and humic substances (HS) were measured in White Clay Creek (WCC), a stream in southeastern Pennsylvania Piedmont, USA. Samples were collected over different seasons and under baseflow and stormflow conditions. DOC concentrations ranged from 1.0 to 12.8 mg/L C with the highest concentrations associated with stormflows. Carbohydrates ranged from 0.42 to 12.4 μM and accounted for 2.9 to 12.7% of the DOC. Humic substances represented the major DOC fraction, accounting for 55 to 72% of the DOC pool under all flow conditions. The humic fraction had a lower carbohydrate content (4.4%) than the non-humic fraction of DOC (7.2%). Stormflow DOC was enriched in carbohydrates relative to baseflow DOC, but the percentage of humic-C changed little. Carbohydrates were primarily present as dissolved polysaccharides (55%), but a significant fraction was bound to humic substances (40%), while a small proportion was present as monosaccharides (5%). The major monosaccharides in stream water, listed in order of decreasing concentration, included glucose, galactose, rhamnose, xylose, arabinose, mannose, and fucose. On average (30.6 ± 7.4)% (n = 44) of the stream water DOC was biodegradable, and carbohydrates accounted for 9.9 to 17.7% of the BDOC.