基于CFD的血管病变部位血流流变特性分析

为探究血管病变对血流流动特性的影响，研究了血管结构改变前后血流流动特性的改变.提出了一种对血管病变前后的血流流场进行对比研究分析的方法，利用断层扫描数据建立几何模型，用Geomagic Studio将病变血管复原成为发生病变前的形状，并基于弹性血管中血流脉动的力学特性，使用ANSYS软件对采用牛顿流体力学模型的分叉部位血流流场进行数值模拟.模拟结果显示病变组织部位受到更大的切应力影响，而在病变组织远心端产生了明显的流速低和切应力低的二次流动和更大的血压压差，这些流体特性会对血管进一步病变产生重要影响.     

管材塑性弯曲成形的有限元数值模拟分析

为深入研究管材塑性弯曲成形机理,利用数值模拟方法建立了包括工艺参数在内的管材弯曲成形全参数化有限元模型,并验证了模型的有效性.在此基础上,详细分析了管材弯曲变形过程中的应力应变分布.结果表明,最大等效应力发生在弯管起弯侧,最大等效应变则沿弯管变形区域均匀分布,管材弯曲成形处于平面应力状态和三向应变状态.     

基于FLAC3D模拟的岩石单轴 压缩试验应力应变统计规律

在三维数值模拟的基础上,利用FLAC~(3D)模拟了岩石单轴压缩试验过程.根据全应力应变曲线的4个破坏阶段(弹性阶段、微破裂稳定发展阶段、非稳定破裂发展阶段和破裂后阶段),采用内嵌的FISH语言编程提取出模型中相应破坏阶段的全部应力应变数据,并利用统计分析软件@Risk对大量的应力和应变数据进行统计分析,以研究岩石变形各阶段中试样整体的应力和应变概率分布规律.本文不仅验证了大量岩石微单元的受力服从Weibull分布的规律,还得出了径向和轴向应变分别服从Logistic分布和BetaGeneral分布的结论.     

合金钢A517Q加热小变形下的应力应变模型

为了在有限元分析中精确计算钢坯加热过程中的应力分布情况,建立了描述A517Q钢不同温度下真应力真应变曲线的数学模型.将拉伸实验与膨胀实验所得数据结合处理,得到了不同温度下的机械应变对应的真应力曲线,排除了热膨胀与材料氧化的影响.建立该模型仅需5个关键参数,对于无明显屈服平台且应力随应变持续增长的应力应变曲线具有良好的描述精度.将通过处理A517Q钢拉伸实验数据获得的5个关键参数拟合为关于温度的函数,代入已建立的应力应变数学模型中,实现了对不同温度下材料力学性能的准确预测.将本模型植入有限元,模拟得到了钢坯加热过程中的应力分布,可为优化加热工艺提供参考.     

连续多点成形过程中应力应变场数值分析

结合连续多点成形的基本原理描述了其成形特征.建立了成形球形件的有限元模型,探讨了板材在连续多点成形过程中不同区域的应力应变情况,模拟了球形件在成形过程中的等效应力场和塑性应变场,并对其分布情况进行了分析,从双向弯曲的角度模拟了板材在加载区域的应力场和应变场分布,对模拟结果进行了分析.应力应变场的模拟结果与弯曲变形时应力应变状态吻合.通过对应力场和应变场的数值分析可以清晰观察板材的成形状态,从而制定出可靠的成形工艺.     

冠状动脉粥样硬化性心脏病冠脉循环建模与仿真

冠状动脉粥样硬化性心脏病发病率和死亡率都很高,对其进行建模与仿真有重要的医学意义.在左心循环系统的血流动力学仿真建模的基础上,结合冠状动脉粥样硬化的病理学特点及临床数据,建立描述心血管冠状循环与系统循环之间血液动力学关系的模拟电路模型,并运用Matlab/Simulink对模型进行仿真,模拟冠状动脉粥样硬化性心脏病病理状态下的冠脉循环血流情况.模型通过修改参数,能模拟不同个体生理情况特征,仿真不同程度的冠状动脉狭窄的血流情况.仿真波形与动物实验结果相吻合,通过对血流储备分数(FFRmyo)的计算,也进一步验证仿真结果的正确性.     

颗粒增强复合材料随机分布模型的数值模拟

利用三维有限元方法,通过建立颗粒随机分布胞体数值分析模型,对颗粒复合材料做模拟计算.在单向拉伸荷载作用下,讨论模型中von Mises应力的分布规律以及弹性模量的数值模拟.与实验结果相比较,发现颗粒随机分布胞体模型弹性模量与实际情况符合较好,颗粒内高应力区域与金相显微镜下的颗粒微裂纹吻合较好.     

计算机模拟厚板弯曲变形材料的再结晶过程

文章分析了厚板弯曲的应变沿板厚方向的分布状态,考虑了应变中心层区域处应力加载过程对于应变储能的影响,建立了厚板弯曲再结晶过程的模型,利用Monte Carlo方法模拟得到了变形材料的再结晶晶粒尺寸分布,结果表明,晶粒尺寸分布具有局部不均匀性,但在整个分布范围,再结晶晶粒尺寸分布仍然服从对数正态分布规律。所建立的再结晶模拟模型能够预测不同变形量状态下的再结晶退火显微组织。     

基于CT图像的胸主动脉瘤模型数值模拟

三维重建基于CT的胸主动脉瘤有限元模型并进行血流动力学数值模拟,为分析胸主动脉瘤的血流动力学机理及其临床治疗提供理论依据。依据临床胸主动脉瘤患者CT数据,结合MIMICS 11数字化影像处理软件,获取胸主动脉瘤的优化表面模型。随后导入ANSYS ICEMCFD 11.0进行胸主动脉瘤模型的有限元网格划分。最后在ANSYSCFX11.0中完成胸主动脉瘤的血流动力学分析。建立临床上适用于胸主动脉瘤患者血流动力学分析的有限元模型。获得了个性化胸主动脉瘤模型中血液流场的流线、速度矢量、血管壁面压力和血管壁面切应力的分布和变化。模型具有数字化、个性化特征,可用于胸主动脉瘤血液动力学计算和分析临床胸主动脉瘤患者动脉瘤的破裂机理。     

支架网孔率对颅内动脉瘤模型血液动力学数值模拟的研究

在定常流动情况下,对金属裸支架植入脑动脉瘤后的模型进行血液流动的模拟,探讨支架网孔率参数影响脑动脉瘤治疗的血液动力学因素.用建立真实的三维动脉瘤模型,植入网孔率分别为82％、73％、64％的三种支架;并进行计算,得到有支架和无支架动脉瘤腔内血流速度、血管内压强与壁面切应力分布情况.结果:动脉瘤内血液速度与壁面切应力随着网孔率的降低而变小.植入支架后的三个模型瘤内压强与没有支架的动脉瘤内压强相差不大.说明低网孔率支架能有效隔离颅内动脉瘤,降低血液在瘤内的流动,从而防止颅内动脉瘤破裂.     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.     

Tracking data management using topology of moving object database system for moving object constrained trajectory in LBS application

Advances in wireless technologies and positioning technologies and spread of wireless devices, an interest in LBS (Location Based Service) is arising. To provide location based service, tracking data should have been stored in moving object database management system (called MODBMS) with proper policies and managed efficiently. So the methods which acquire the location information at regular time intervals then, store and manage have been studied. In this paper, we suggest tracking data management techniques using topology that is corresponding to the moving path of moving object. In our techniques, we update the MODBMS when moving object arrived at a street intersection or a curved road which is represented as the node in topology and predict the location at past and future with attribute of topology and linear function. In this technique, location data that are corresponding to the node in topology are stored, thus reduce the number of update and amount of data. Also in case predicting the location,because topology are used as well as existing location information, accuracy for prediction is increased than applying linear function or spline function.