运用统计能量分析法进行轿车内噪声的仿真

建立了一个统计能量分析（SEA）芭轿车内室噪声的仿真计算，结果表明400－5000Hz频率范围内的空气噪声和固体噪声都适用于统计能量分析方法，SEA模型的计算与车内声压水平实测值精度在主要频带达到3dB以内。     

基于SEA法的汽车道路噪声研究

统计能量分析(SEA)法是一种有效的在高频域内减少振动噪声的分析方法.文中根据SEA法进行实车全模型分析,确定了降低车室内噪声水平的对策.运用SEA法分析汽车高频(400Hz以上)路面噪声,精度可控制在±3 dB以内.文中最后通过直接比较实车的试验结果和SEA分析结果,验证了这种方法的精确性.     

舱室噪声传递路径分析的SEA赋权图法

针对传统传递路径分析求解中高频问题的不足,采用SEA赋权图法分析舱室噪声的传递路径.以统计能量分析(SEA)为基础,将SEA系统与图论中路径网络进行类比得到SEA赋权图,从功率流平衡方程中提取SEA参数表示赋权图连接边的权重系数.将噪声传递路径问题转化为求解赋权图的最大权重路径问题,传递权重最大的K条路径(KDP)即为能量的主要传递路径.选取某舱室模型为分析对象,从SEA赋权图中得到2000条KDP,并通过识别路径的结点得到能量传递路径中的关键结点.各种噪声控制方案的对比结果验证了SEA赋权图法在减振降噪分析中的有效性,为降噪措施具体实施方案提供了明确的参考.     

出海管路系统的噪声振动及声辐射

采用统计能量分析方法（SEA），通过一定的简化，建立了出海管路系统声传播和管口声辐射的简单SEA理论模型，分析了在平稳随机噪声激励下通海管路系统各组成结构的能量分布和管口声辐射功率，并研究和对比了不同管道几何参数情况下的管口辐射噪声，实验结果与其他数值分析方法所得结果较为吻合，SEA为各种声学参数的计算年代了一条较为可靠和高效的途径。     

复杂结构统计能量分析的低频限研究

借助于AutoSEA软件和实验手段,对类似于飞机机身舱段的圆柱壳结构内部声压级进行数值计算和实验测量,并通过建立不同统计能量分析(SEA)模型和功率流分析,探讨复杂结构SEA分析中子系统模态数和下限分析频率的关系.研究表明,复杂结构的SEA低频分析受为目标子系统传递主要能量的子系统支配,在子系统划分时要保证这些子系统有足够的模态数,可以放宽对非主要传递能量子系统的限制.     

基于统计能量法的汽车风噪传播特性分析

以某款实车为研究对象,结合风洞试验、计算流体力学(CFD)和统计能量分析方法(SEA),获取该车在140km·h-1下的外部脉动压力和声场输入,建立较为准确的SEA模型,探索车外空气脉动及其产生的气动噪声向车内的传播特性.研究表明,车内气动噪声主要来自于车窗、前后风挡;车外脉动压力远大于声场,但声场主导中频偏高频车内噪声,脉动压力在中频偏低频作用明显;风挡向车内的声能传播,主要以车外空气脉动激发的振动传递为主.     

基于统计能量分析法的轿车内室噪声优化与控制

建立了一个统计能量分析（SEA）模型用于轿车的内室噪声的仿真计算，400－5000Hz频率范围内SEA模型的计算结果与车内声压水平实测值的误差达到3dB以内，基于此模型进行了轿车内室噪声的优化与控制研究，获得一系列有价值的分析结果。     

基于统计能量分析法(SEA)的电梯噪声预测研究

本文分析探索如何从噪声源头上来预防控制噪声的产生,根据电梯低频噪声传播特性,通过应用能量分析(Statistical Energy Analysis,SEA)的电梯噪声仿真分析方法对电梯噪声进行预测,提出噪声控制措施,通过对居民住宅空间噪声的声压进行仿真,验证了电梯噪声SEA模型的有效性,有效地预防与控制噪声及振动。     

黏弹性约束阻尼结构对车内噪声控制的应用

针对车辆壳体振动辐射噪声,在安静、平坦的柏油路面上进行实验车基本噪声测试,通过对测试结果的分析确定车内主要轰鸣声的转速范围。建立统计能量分析模型进行能量传递路径分析,确定车内噪声的主要来源。从阻尼材料的应用角度出发,对比分析顶蓬不同部位铺设条状阻尼的减振效果。研究结果表明:将黏弹性约束阻尼敷设在顶蓬前部能够有效抑制顶蓬振动产生的辐射噪声。     

基于VA-One的湍流边界层噪声计算方法的仿真分析

以基于统计能量法(SEA)的VA-One软件为平台,针对湍流边界层噪声源的计算方法,在VA-One中以某型涡桨飞机外表面噪声实测时的状态为依据进行建模。开展了湍流边界层噪声源计算方法的仿真研究,并将仿真计算结果与实测结果进行对比分析。进而验证建模方法的可行性和有效性。     

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.     

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).     

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.     

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.