轴压作用下双金属复合管组合作用与承载力分析

为探究轴压作用下双金属复合海底管道的组合作用与承载性能,对双金属复合海底管道进行了试验研究和理论分析。开展了不锈钢衬管材料性能试验,对比了国际主流不锈钢本构关系模型和试验结果。利用ABAQUS建立了精细化的双金属复合管道轴压试验有限元模型,系统研究了关键参数如复合工艺产生的环向复合应力、钢管初始缺陷幅值等对双金属复合管在轴压作用下力学性能的影响规律。通过对比已有轴压双金属复合管道试验结果,验证有限元模型。基于验证的有限元模型,对轴压作用下双金属复合管道的组合作用以及径厚比和材料强度对承载力的影响进行了分析。结果表明双金属复合管道的轴压极限承载力主要取决于基管的截面屈服荷载,并随着管径和材料强度的提高而增大。并依据分析结果对双金属复合海底管道的设计提出建议。     

Truss Spar平台在波流联合作用下运动响应预报方法比较

基于细长体水动力模型比较了Truss Spar平台在波流联合作用下运动响应预报的三种方法。分别采用波流耦合、速度叠加及力叠加计算Truss Spar平台在波流联合作用下的水动力载荷,根据流场水质点运动规律和Truss Spar外部形状特点,分段高效计算水动力载荷。利用Runge-Kutta-Fehlberg方法求解刚体非线性运动方程得Truss Spar在波流场中的运动响应。研究结果表明力叠加法所预报的Truss Spar纵荡和纵摇运动明显大于其他两种方法的相应运动响应预报结果,而波流耦合法与速度叠加法所预报的纵荡与纵摇运动响应幅值相当,三种方法所预报的垂荡运动响应的大小取决于具体波流参数。     

考虑拖航疲劳的火炬臂全寿命评估

针对导管架平台上部组块与火炬臂进行整体拖航的情况,提出考虑拖航累积损伤的火炬臂全寿命疲劳分析流程。采用MOSES和SACS软件建立上部组块带火炬臂整体拖航水动力模型和导管架平台整体有限元模型,计算拖航驳船运动惯性载荷、在位波载荷和在位风载荷引起的火炬臂管节点疲劳损伤,对火炬臂进行全寿命疲劳分析。引入拖航疲劳损伤率系数,量化拖航驳船运动对火炬臂各管节点疲劳损伤的影响。结果表明:拖航工况驳船运动惯性载荷造成的火炬臂疲劳损伤不容忽略,特别是对靠近火炬臂根部的管节点影响显著。因此,在对整体拖航下的火炬臂进行疲劳设计时,应对其进行全寿命疲劳分析。     

海底玄武岩中次生组分HCl溶解实验研究

次生组分沉淀是海底岩石中普遍存在的现象,次生组分去除是减少次生组分干扰、获取海底岩石高质量数据的关键。选择西太平洋麦哲伦海山区MK海山相对新鲜的玄武岩作为研究对象,经研磨、均一化后将粉末样品分为49份,其中48份分别以0.25,0.50,1.00,1.50,2.00,2.50 mol/L六种浓度的足量HCl溶解0.5,1,2,4,8,16,32和64 h后,选取溶解残渣测定主要氧化物和特征微量元素质量分数,确定HCl溶解法在去除次生组分的同时不会对海底新鲜玄武岩中原生组分造成影响的HCl浓度-时间组合。结果表明,在HCl浓度为1.00～2.50 mol/L,溶解时间为0.5～2 h的12种HCl浓度-时间组合均可保证海底玄武岩中原生组分的安全,并可有效去除次生组分。综合海底蚀变玄武岩次生组分去除实验研究,推荐使用1.00～2.00 mol/L HCl,溶解时间在0.5～1 h的实验方案。     

利用InSAR识别与监测黑方台黄土滑坡

针对甘肃永靖县的黑方台地区滑坡不断对当地居民人身及财产安全构成重大威胁的现状,该文选取高分辨率的升降轨TerraSAR数据、3m分辨率的DEM数据和30m分辨率的SRTM DEM数据,利用InSAR技术对该地区的地表形变进行监测,主要结果如下:用Stacking技术获取了黑方台的形变速率图,识别出14处不稳定滑坡体;用SBAS-InSAR技术对典型滑坡体进行时间序列监测,将InSAR结果投影到滑坡方向与已有的GPS结果进行比较,最大较差为6mm,最大中误差为3mm。结果表明,InSAR技术用来识别与监测黄土滑坡方便可靠,并且精度较高。     

An improved building detection approach using L-band POLSAR two-dimensional time-frequency decomposition over oriented built-up areas

The objective of this study is to efficiently extract detailed information about various man-made targets in oriented built-up areas using polarimetric synthetic aperture radar (POLSAR) images. This paper develops an improved approach for building detection by utilizing Two-Dimensional Time-Frequency (2-D TF) decomposition. This method performs outstandingly in distinguishing between man-made and natural targets based on the isotropic behaviors, frequency-sensitive responses, and scattering mechanisms of objects. The proposed method can preserve the spatial resolution and exploit the advantages of TF decomposition; specifically, the exact outlines of buildings can be effectively located, and more types of features (e.g., flat roofs, roads, and walls that are oblique to the radar illumination) can be distinguished from forests in complex built-up areas by 2-D TF decomposition. The coarser-resolution subaperture images that are produced in the azimuth direction, which correspond to different looking angles, are beneficial for detecting man-made structures with main scattering centers oriented at oblique angles with respect to the radar illumination. In the range direction, the obtained subaperture images, which correspond to various observation frequencies, can be helpful in distinguishing flat roofs and roads from forests. This method was successfully implemented to analyze both NASA/JPL L-band AIRSAR and L-band EMISAR data sets. The building detection results of the proposed method exhibit a significant improvement over those of other methods and reach an overall accuracy over 80%, with approximately 20% higher than the accuracies of K-means clustering and the entropy/alpha-Wishart classifier and approximately 10% higher than the accuracy of the support vector machine method. Moreover, building details can be precisely detected, obliquely oriented buildings can be identified, and the distinction between buildings and forests is significantly improved, as both visually and statistically indicated. This method is highly adaptable and has substantial application value.     

高分五号全谱段光谱成像仪地表温度与发射率反演

地表温度在全球能量平衡和气候变化研究中具有重要意义。中国新一代高分辨率卫星高分五号卫星(GF-5)搭载的全谱段成像光谱仪有4个40 m空间分辨率的热红外波段,可以提供高空间分辨率的地表温度信息。本文提出了适用于全谱段成像光谱仪的温度与发射率分离TES(Temperature and Emissivity Separation)算法同时反演地表温度和发射率,为了提高大气校正精度,算法加入了水汽缩放WVS(Water Vapor Scaling)大气校正方法。首先利用Seebor V5.0全球大气廓线库构建模拟数据对算法精度进行了评价;然后利用张掖地区11景ASTER影像作为替代数据和同步的地面实测数据对算法精度进行了验证。模拟数据结果表明加入WVS方法后TES算法反演地表温度的RMSE由2.59 K降低到1.54 K,4个波段地表发射率的RMSE分别从0.122、0.12、0.102和0.037降低到0.042、0.04、0.028和0.026;地表验证结果表明本文算法反演的地表温度与站点实测值具有更好的一致性,平均Bias由1.08 K降低到0.47 K,RMSE由2.17 K降低到1.7 K;反演的各波段地表发射率与地面实测结果误差均小于1%。因此,本文提出的温度与发射率分离算法具有较高精度,可以利用GF-5数据获取高精度高空间分辨率的地表温度和发射率数据,服务于其他相关研究。     

顾及空间非平稳特征的遥感干旱监测

遥感技术具备实时快速、时空连续、广覆盖尺度等独特优势,在全球气候恶化大背景下,利用遥感干旱监测方法相比于传统地面监测手段,能够提供实时、准确、稳定的旱情信息,辅助科学决策。目前常用遥感旱情监测方法大多依赖全域性数学模型建模,假定了旱情模式的空间平稳特性,因而难以准确反映旱情模式的局部差异特征。本文提出利用地理加权回归模型GWR (Geographically Weighted Regression),考虑旱情模式的空间非平稳特性,综合多种遥感地面旱情监测指数,以实现传统全域旱情监测模型的局部优化。以美国大陆为研究区,监测2002年—2011年共10年的旱情状态。研究表明,GWR模型能够提供空间变化的局部最佳估计模型参数,监测结果更加吻合标准美国旱情监测USDM (U.S Drought Monitor)验证数据,且与地面实测值的最高相关系数R达到0.8552,均方根误差RMSE达到0.972,显著优于其他遥感旱情监测模型。GWR模型具备空间非平稳探测优势,实现了旱情模式的局部精细探测,能够显著提升遥感旱情监测精度,具备较好的应用前景。     

Very Large Eddy Simulation of Cavitation from Inception to Sheet/Cloud Regimes by A Multiscale Model

The cavitating flow in different regimes has the intricate flow structure with multiple time and space scales. The present work develops a multiscale model by coupling the volume of fluid(VOF) method and a discrete bubble model(DBM), to simulate the cavitating flow in a convergent-divergent test section. The Schnerr-Sauer cavitation model is used to calculate the mass transfer rate to obtain the macroscale phase structure, and the simplified Rayleigh-Plesset equation is applied to simulate the growing and collapsing of discrete bubbles. An algorithm for bridging between the macroscale cavities and microscale bubbles is also developed to achieve the multiscale simulation. For the flow field, the very large eddy simulation(VLES) approach is applied. Conditions from inception to sheet/cloud cavitation regimes are taken into account and simulations are conducted. Compared with the experimental observations, it is shown that the cavitation inception, bubble clouds formation and glass cavity generation are all well represented, indicating that the proposed VOF-DBM model is a promising approach to accurately and comprehensively reveal the multiscale phase field induced by cavitation.     

基于遥感反演的山东半岛东北部海域悬浮体时空变化规律探讨

基于2003-2018年中分辨率成像光谱仪(moderate-resolution imaging spectroradiometer,MODIS)卫星遥感影像资料,结合2018年春季、夏季和冬季大面站悬浮体取样分析结果,构建了表层悬浮体浓度遥感反演模型;在此基础上,分析了山东半岛东北部海域年际和月份表层悬浮体浓度时空...