基于整车的动力总成悬置系统多目标稳健优化

针对6自由度动力总成悬置系统分析振动响应不足的问题,文章在Matlab中建立了基于整车基础的动力总成悬置系统13自由度模型,并通过模态试验进行了验证;考虑到能量解耦法的固有缺点,提出以提高能量解耦率和悬置隔振率为稳健性目标函数,基于多目标粒子群算法对悬置系统进行隔振优化。仿真和试验结果表明,基于该方法的悬置系统隔振优化在提高悬置系统能量解耦率的同时,发动机悬置的隔振率也得到不同程度的提高。     

发动机悬置优化计算

发动机悬置系统对降低整车振动和噪声有显著影响,为得到满意的悬置系统特性,在设计时往往需要对悬置参数进行多次修改;文章通过求解悬置系统固有频率以及能量解耦方法进行悬置参数计算,并应用Matlab对轻卡悬置系统模态及能量解耦进行计算,在此基础上应用Adamas软件进行优化,在实际应用中取得了良好的效果。     

两挡纯电动汽车动力总成悬置系统优化设计

为了提高电驱动动力总成在行驶过程中的性能，对某款小型纯电动轿车配置的电驱动2AMT动力总成悬置系统进行了优化设计。基于ADAMS多体系统软件，建立了电驱动2AMT总成悬置系统的六自由度振动模型，并进行了系统模态分析和载荷工况下的变形仿真，根据分析结果，以提高解耦率为优化目标，选取悬置三向刚度作为设计变量，利用粒子群遗传（PSO-GA）混合算法，对悬置系统进行了优化设计。仿真结果表明，优化后悬置系统的解耦率可以满足设计要求。     

发动机悬置系统模态分析与优化

根据悬置系统设计的基本理论,对悬置系统进行了动力模态分析;在模态分析基础上,建立悬置系统优化设计的数学模型,对悬置系统的能量解耦度和谐振频率进行了优化设计。     

基于Kriging模型的动力总成悬置系统多目标优化

针对轮式装载机在怠速NVH性能差的问题,提出了一种基于Kriging模型的动力总成悬置系统的优化设计方法.建立了包含动力总成系统的整车虚拟样机模型.结合最优拉丁超立方试验设计、Kriging近似模型以及NSGA-II多目标优化方法,选取悬置的刚度作为设计变量,以动力总成系统解耦度、驾驶室地板垂向加速度以及底盘动能作为目标函数进行优化,得到Pareto前端.通过权重系数法求得最优解,并通过整车模型进行验证.结果表明,该方法能够快速有效地对悬置系统进行优化,优化后的悬置系统解耦率得到提升,同时,优化后的整车模型在模拟的5个稳态工况下,驾驶室的振动及底盘动能均有所降低,驾驶室振动最大降幅为23.6%,(怠速),底盘动能最大降幅为22.0%(2,000,r/min),整车平顺性得到提升.     

两挡纯电动汽车动力总成悬置系统优化设计

为了提高电驱动动力总成在行驶过程中的性能,对某款小型纯电动轿车配置的电驱动2AMT动力总成悬置系统进行了优化设计。基于ADAMS多体系统软件,建立了电驱动2AMT总成悬置系统的六自由度振动模型,并进行了系统模态分析和载荷工况下的变形仿真,根据分析结果,以提高解耦率为优化目标,选取悬置三向刚度作为设计变量,利用粒子群遗传（PSO-GA）混合算法,对悬置系统进行了优化设计。仿真结果表明,优化后悬置系统的解耦率可以满足设计要求。     

轿车发动机动力总成悬置系统优化研究

该文应用复合三线摆测量法测得了某轿车动力总成的有关参数。建立了动力总成悬置系统动力学模型，应用ADAMS进行了动力学仿真分析；合理配置各阶固有频率；综合运用弹性中心理论和能量解耦方法对动力总成悬置系统进行了优化设计。根据优化结果进行了试验，证明动力总成悬置系统的隔振性能有了明显提高，主要测点的振动程度下降了10％～30％，有效地降低了轿车动力总成悬置振动。     

汽车发动机悬置系统多目标优化的研究

以整车为背景，提出以汽车驾驶室振动能量最小和发动机悬置能量解耦为综合目标的多目标优化模型，对发动机悬置参数进行了优化，计算实例表明选择合适的发动机悬置参数可以有效地降低汽车的振动     

发动机悬置系统多目标优化设计

在研究发动机悬置系统各种优化设计方法的基础上,以整车人机系统为背景,提出以人体在垂直方向振动加速度均方根加权值最小和发动机悬置系统能量解耦为目标的多目标优化模型,对发动机悬置参数进行了优化。计算实例表明,选择合适的发动机悬置参数可以有效地降低汽车振动,改善汽车乘坐适合性。     

汽车发动机悬置系统多目标优化的研究

以整车为背景，提出以汽车驾驶室振动量最小和发动机悬置能量解耦为综合目标的多目标优化模型，对发动机悬置参数进行了优化，计算了实例表明选择合适的发动机悬置参数可以有效地降低汽车的振动。     

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.