应力梯形波加载下的循环蠕变曲线函数

为了确定循环蠕变应变与有载时间的函数关系式,通过对高温合金蠕变试验曲线的分析,发现静蠕变寿命分数曲线遵循与加载应力的大小无关,与循环蠕变寿命分数曲线基本重合的规律,这规律显示了材料本身的蠕变特性。由这规律导出了静蠕变应变与循环蠕变应变之间的关系式,找到了由静蠕变函数确定循环蠕变函数的方法,该方法得到了DZ417G高温合金钢在870oC、梯形应力波加载下蠕变实验数据的支持。     

光粘弹性及其材料光学松弛函数的确定

本文简要地叙述了光粘弹性的基本原理,说明用光弹性法进行粘弹性应力分析研究有其独特的优点,并配制了四种不同的环氧树脂材料。应用以上原理,具体测定了它们的光学蠕变函数,经过一定的数学推导,计算得到光学松弛函数。本文所用的测定和计算方法、实验装置以及所选择的光粘弹性材料,均结合我国具体情况,比较实用,为光粘弹性应力分析及应用探讨可行的途径.     

机械零件在持久高温工作条件下的蠕变

论述了零件在持久高温工作条件下的蠕变机理,提出了建立蠕变函数的3种假设,通过对等时蠕变曲线和时间函数的研究,得出蠕变方程和松弛方程,进而作出蠕变曲线和松弛曲线,并指出大量实验的数据与理论研究结果的一致性.     

煤岩非线性损伤蠕变模型探析

为了研究煤岩蠕变特性,分析前人煤岩蠕变特性实验结果,在广义Kelvin模型的基础上建立了煤岩非线性损伤蠕变理论模型。假定煤岩损伤演化是应力和时间的函数,同时引入非线性硬化函数推导了煤岩非线性损伤衰减蠕变方程和蠕变全过程方程。任意给定方程中材料参数和加载条件,理论得到了煤岩衰减蠕变和蠕变全过程随时间变化曲线,对比前人煤岩蠕变实验结果,验证了用理论模型去研究煤岩的蠕变特性是可行的。     

纤维增强复合材料非线性蠕变流动特性

视基体材料为各向同性非线性蠕变体;纤维材料为各向同性线弹性体,基于Ａｂｏｕｄｉ胞元模型对纤维增强复合材料的蠕变特性进行了细观分析。提出并用蠕变面函数讨论复合材料的正交各向异性蠕变流动特性。     

胶版印刷机橡皮布蠕变行为及其对印刷的影响

在胶版印刷中,由于胶印橡皮布这种粘弹性材料参与接触过程,相关研究内容属于复杂接触力学问题,关于胶印机油墨精确传递机理的研究尚未取得突破。本文理论推导了胶印橡皮布的蠕变行为表达式,并用纳米压痕仪实验测试了橡皮布的压力-位移曲线,用推导得到的蠕变行为表达式拟合实验得到数据,从而确定了实验胶印橡皮布的蠕变函数。将该蠕变函数引入基于弹流润滑理论的胶印机油墨传递接触模型中,采用数值计算的方法研究了印刷橡皮布的粘弹性蠕变行为对胶印机油墨传递机理的影响。研究发现,在胶印机油墨传递精确机理的研究中,橡皮布的粘弹性蠕变行为不可忽视。     

基于扰动状态概念的煤蠕变本构模型

针对煤矿井下条带法开采留设的煤柱在覆岩压力作用下随着时间推移易发生蠕变现象,考虑到传统蠕变模型难以描述煤体蠕变各个阶段的损伤特性,基于扰动状态概念的理论,选用Kelvin模型描述材料的相对完整状态,将Burgers模型中的黏壶元件用非线性黏壶元件代替描述材料的完全调整状态,引入Weibull分布函数,选取以时间为自变量的扰动因子函数,建立了以扰动因子为权函数的煤体蠕变全过程的本构模型.同时,利用煤样室内蠕变试验数据对基于扰动状态概念下煤体的蠕变模型参数进行了辨识,验证了该模型的合理性,且相对于传统模型有较好的协调性,能够更有效地描述煤体的初始、稳定和加速蠕变阶段的蠕变规律.     

GH49合金在蠕变断裂过程中弯曲晶界的作用

本文用光学金相、电子金相及定量金相测定等方法,研究了弯曲晶界对GH49合金蠕变断裂性能的影响。试验结果指出,弯曲晶界试样与平直晶界试样相比,在850℃、35kg/mm~2条件下,蠕变断裂塑性平均提高73％,蠕变断裂寿命平均提高26％。本文讨论了蠕变过程中裂纹生长动力学方程,提出了弯曲晶界变化与晶内变形良好匹配的模型。因而,对蠕变寿命提高的原因有了进一步认识。     

雾江滑坡滑动面粘土蠕变试验及积分蠕变方程

利用陈式加载法对取自涔天河水库边坡的雾江古滑坡滑动面的４个试件进行了蠕变试验，并根据遗传蠕变理论对试验结果进行回归分析，最后求出了该粘土的积分蠕变方程的具体核函数形式．为评价雾江滑坡的稳定性分析提供了理论依据．     

软土蠕变特性的神经网络预测

针对软土复杂的蠕变特性,根据软土三轴蠕变试验,运用人工神经网络原理,建立了软土蠕变的神经网络预测模型.对BP网络进行了三方面改进(附加动量项、自适应调整学习率,贝叶斯正则性能函数),利用三轴蠕变试验资料对已训练好的软土蠕变神经网络模型进行验证,并将该模型应用到某软土地基的沉降预测中.研究结果表明:神经网络预测模型直接利用数据建模,避开了传统本构建模时的人为假设,能客观反映软土的非线性蠕变特性.     

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.     

An Index mechanism for multi-scale view in spatial databases

There are numerous geometric objects stored in the spatial databases. An importance function in a spatial database is that users can browse the geometric objects as a map efficiently. Thus the spatial database should display the geometric objects users concern about swiftly onto the display window. This process includes two operations:retrieve data from database and then draw them onto screen. Accordingly, to improve the efficiency, we should try to reduce time of both retrieving object and displaying them. The former can be achieved with the aid of spatial index such as R-tree, the latter require to simplify the objects. Simplification means that objects are shown with sufficient but not with unnecessary detail which depend on the scale of browse. So the major problem is how to retrieve data at different detail level efficiently. This paper introduces the implementation of a multi-scale index in the spatial database SISP (Spatial Information Shared Platform) which is generalized from R-tree. The difference between the generalization and the R-tree lies on two facets: One is that every node and geometric object in the generalization is assigned with a importance value which denote the importance of them, and every vertex in the objects are assigned with a importance value,too. The importance value can be use to decide which data should be retrieve from disk in a query. The other difference is that geometric objects in the generalization are divided into one or more sub-blocks, and vertexes are total ordered by their importance value. With the help of the generalized R-tree, one can easily retrieve data at different detail levels.Some experiments are performed on real-life data to evaluate the performance of solutions that separately use normal spatial index and multi-scale spatial index. The results show that the solution using multi-scale index in SISP is satisfying.     

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.