四川省大瑞乡泥石流灾害特征及减灾对策

在地质勘查的基础上,分析了大瑞乡泥石流形成条件、基本特征,并计算了泥石流的容重、流量、流速、冲出量等动力学参数,计算证明大瑞乡泥石流属于中频暴雨沟谷型泥石流。根据泥石流的具体情况和当地经济、社会、生态建设的需要,以及被保护对象的重要性,提出了"拦防结合"的防治对策。     

承德围场县西山庙台沟泥石流危险性分析

庙台沟位于河北省承德市围场县县城西山,曾发生山洪泥石流灾害.为了掌握庙台沟泥石流的运动变化规律,更有效地减小泥石流的危害,通过对庙台沟的地形地貌、物源、水源的勘察分析,计算得出了泥石流的容重、流量、流速、冲击力等参数;针对其形成条件和基于数量化理论,对该泥石流的危险性进行了分析及评估,进而为相关工程的评价及防治提供参考.     

TC4钛合金的微动疲劳行为研究

研究了TC4钛合金在柱面-平面接触条件下的微动疲劳行为.通过观察微动区的磨损特征和截面形貌,分析了微动疲劳损伤机制,探讨了磨屑的形成与演变过程及其对微动疲劳行为的影响,考察了摩擦系数随时间的变化.结果表明,TC4钛合金微动区的损伤机制以粘着磨损、磨粒磨损和接触疲劳为主,并伴有氧化磨损.磨屑是基体材料脱落、破碎、氧化形成的,磨屑中的硬质氧化物颗粒促进了合金表面的磨粒磨损,加速了疲劳失效.     

Microstructures of worn surface and wear debris of as-cast Al-17Si-xLa alloys under unlubricated conditions

1　INTRODUCTIONAl Sialloyshavebeenwidelyusedasthetribo logicalcomponentsininternalcombustionenginesfortheirhighresistancetowearandseizure ,andhighspecificstrength .Therefore ,thewearbehaviorsofAl Sialloysagainstvariouscounterfaces (typicallyacastironcounterface)havebeeninvestigatedexten sively[16 ] .Themutualtransferofmaterialbetweentwoslidingcounterfacesisinvariablyinvolvedinawearprocess ,especiallyunderdryorunlubricatedconditions ,leadingtotheformationofamechanicallymixedlayerattheworn…     

Wear failure of a leaded bronze bearing: Correlation between plant experience and laboratory wear test data

This paper describes an investigation on the failure of a large leaded bronze bearing that supports a nine-ton roller of a plastic calendering machine. At the end of the normal service life of a good bearing, which lasted for seven years, a new bearing was installed. However the new one failed catastrophically within a few days, generating a huge amount of metallic wear debris and causing pitting on the surface of the cast iron roller. Following the failure, samples were collected from both good and failed bearings. The samples were analyzed chemically and their microstructures examined. Both samples were subjected to accelerated wear tests in a laboratory type pin-on-disk apparatus. During the tests, the bearing materials acted as pins, which were pressed against a rotating cast iron disk. The wear behaviors of both bearing materials were studied using weight loss measurement. The worn surfaces of samples and the wear debris were examined by light optical microscope, scanning electron microscope, and energy-dispersive x-ray microanalyzer. It was found that the laboratory pin-on-disk wear data correlated well with the plant experience. It is suggested that the higher lead content (∼18%) of the good bearing compared with 7% lead of the failed bearing helped to establish a protective transfer layer on the worn surface. This transfer layer reduced metal-to-metal contact between the bearing and the roller and resulted in a lower wear rate. The lower lead content of the failed bearing does not allow the establishment of a well-protected transfer layer and leads to rapid wear.     

油液在线监测技术研究进展

油液在线监测技术是机械故障智能诊断的重要发展方向,传感器作为其关键元件,发挥着重要作用。对油液在线监测的粘度传感器、水分传感器、磨粒传感器以及多传感器集成的国内外研究进展进行了介绍。从电磁法、静电法、电感法、图像识别几个方面对磨粒测量与分析的国内外研究进行了介绍。提出了现阶段存在的不足,对油液在线监测的未来发展之路进行了展望。     

考虑爬高效应的泥石流弯道超高公式

弯道超高是泥石流运动的显著特征。以往研究认为弯道超高完全是由于泥石流的离心运动造成的,未考虑泥石流在弯道运动时的冲起爬高效应。本文假设弯道超高和爬高分别由泥石流沿弯道的切向和法向速度引起,根据弯道处速度矢量三角形和圆弧三角形的几何相似关系,推导了考虑爬高效应的泥石流弯道超高公式。该公式依赖于弯道的内外曲率半径比、泥石流速度和沟壁倾角,适用于弯道圆心角小于60°和沟道较宽的情形。经云南东川蒋家沟的野外实际调查数据以及其他文献中的数据验证,与实测值误差较小,可用于泥石流弯道爬高的实际计算中。     

基于改进DeepLabV3+的铣床碎屑图像分割方法

针对铣床碎屑形状不规则导致图像分割中碎屑轮廓不清晰、分割精度低的问题,本文提出一种改进的DeepLabV3+铣床碎屑分割算法。首先在DeepLabV3+的Xcepetion模块中嵌入通道与空间注意力机制(convolutional block attention module, CBAM)模型,优化通道的权重和位置信息,加强碎屑图像区域的特征学习;其次将DeepLabV3+的空洞空间卷积池化金字塔(atrous spatial pyramid pooling, ASPP)模块改为密集连接(dense conolutional network, DenseNet)方式,增大碎屑图像特征点的感受野,提升铣床碎屑图像特征的复用效率;最后在解码过程中采用多尺度自适应特征融合方法,聚合多尺度特征作为解码器的输入特征,提高碎屑图像分割的精度与鲁棒性。实验结果表明,本文算法优于其他分割算法,改进后算法相比DeepLabV3+,像素准确率提高0.026,平均交并比(mean intersection over union,MIOU)提高0.020,F₁值提高了0.013。     

基于CUDA的泥石流模拟计算研究

针对泥石流仿真过程中海量数据计算问题,采用CUDA技术即结合CPU与GPU的优点研究了一种协同计算方法以提高数据计算效率和仿真性能。同时,搭建了基于GPU的泥石流仿真计算平台,对优化的CUDA并行计算方法进行验证。实验结果表明,该方法对海量数据的计算具有快速准确、低成本、低功耗的特点,能为灾害预测提供及时准确的决策支持,满足了高密集型计算的需求。     

基于GIS和神经网络的泥石流危险性评价系统

基于ArcEngine组件和．Net集成开发天山公路泥石流危险性评价系统,将GIS技术和神经网络集成应用于泥石流危险性评价中,发挥GIS强大的空间信息可视化管理和分析功能以及神经网络的非线性描述和分析功能,实现泥石流危险性评价的可视化管理,为工程决策者和管理人员提供一种强有力的决策支持方案。