基于非支配排序遗传算法的塔机有限元模型修正

为了建立一个能准确反映结构实际状态的有限元模型,提出了一种基于非支配排序遗传算法Ⅱ(NSGA-Ⅱ)的有限元模型修正方法.首先建立初始有限元模型,基于二次响应面法,得到有效的响应面替代模型,然后采用NSGA-Ⅱ对该模型进行修正,最终建立了满足工程精度要求的可靠的有限元模型.给出了某型塔机有限元模型修正的工程算例,将修正后的计算结果与实测数据相比较,说明了基于NSGA-Ⅱ多目标优化算法对于有限元模型修正具有理想的效果,修正后的有限元模型能准确反映结构力学特性.     

基于分层进化寻优的塔机结构有限元模型修正

采用分层优化策略,运用进化寻优算法实现结构有限元模型的优化修正.根据设计变量对有限元模型影响的区别将其置于节点层与截面层分别执行进化寻优,两个层次的进化寻优交替进行直至问题收敛.建立了某型塔机的参数化有限元模型,根据实测的风致振动响应识别的模态参数采用所提出的方法对塔机的有限元模型进行了修正.修正结果表明,该方法可以有效地实现塔机的有限元模型修正,且修正计算效率高于对应的基于整体策略的修正方法.     

基于两阶段响应面方法的结合梁斜拉桥多尺度有限元模型修正

以灌河大桥为工程背景,建立了结构精细有限元模型和多尺度有限元模型,并进行全桥环境振动试验,以获取结构的实测动力特性.基于两阶段响应面方法,分别对多尺度模型与精确有限元模型之间的误差和初步修正后多尺度模型与实际结构之间的误差进行修正,并将修正后结果与实测值进行比较.结果表明:经过两阶段响应面模型修正后的计算结果与实测结果吻合较好,最大频率相对误差不超过8%,模态保证准则MAC值基本在90%以上,说明两阶段响应面方法能够较好地进行多尺度模型修正,保证修正后的模型参数仍然具有其物理意义;修正后的有限元模型可以进一步应用于多尺度损伤识别及损伤预后,服务于桥梁健康监测及安全评估.     

基于响应面法和麻雀搜索算法的结构有限元模型修正

为了获取准确可靠的结构有限元模型,提供结构运营期间健康监测和状态再分析的基准参照,提出了一种基于响应面法(response surface method,RSM)和麻雀搜索算法(sparrow search algorithm,SSA)的结构有限元模型修正方法.首先,基于响应面法,采用拉丁超立方设计方法进行试验设计获取样本点,以简单低阶数学模型代替特征量与参数间复杂的映射关系,构造结构宏观响应与各参数的解析表达式,基于逐步回归分析进行基函数显著性检验,运用方差理论检验模型精度获取最优响应面模型,并联合结构动力响应残差和构造目标函数;其次,基于麻雀搜索算法,对目标函数进行优化求解得到各参数最优解,代入初始有限元模型中,实现对初始有限元模型的修正;最后,基于RSM-SSA有限元模型修正方法对高维局部损伤悬臂梁数值模型实施修正,验证所提方法的可靠性和可行性,并与基于其他新兴群智能优化算法的有限元模型修正结果进行对比.结果 表明:采用该方法修正的参数和频率误差均值分别为6.549％、0.279％,修正效率和精度较其他算法有显著提升,修正后的有限元模型具有较高的精度,可真实反映结构实际力学行为.该方法为结构有限元模型修正提供一种新思路.     

桥梁结构静力模型修正响应面方法试验设计研究

在基于响应面方法的结构模型修正中,参数试验设计对于响应面模型(函数,)以及最后结构模型修正结果的精度具有决定作用.对正交、中心复合、均匀试验设计方法进行了比较和分析,并结合一片两跨连续梁结构静力试验模型修正的数值算例,分析了不同试验设计对结构模型修正结果的影响.理论和数值算例分析表明,均匀试验设计具有设计点(参数选取)较少、结构有限元计算量少,且精度可接受的优点,更适合基于响应面方法的桥梁结构模型修正.     

钢结构节点计算动态模型检验的新方法

在焊缝连接的钢结构中，由于焊缝材料弹性模量参数的不确定性，建立的有限元计算数学模型与实际结构情况偏离较大，直接影响计算结果．针对此问题提出基于时域下的模型相关性检验方法．在对时域响应序列二值化得到0-1序列的基础上，运用互信息量方法对试验与计算响应序列进行相关性分析，进而检验钢结构节点计算模型的动态特性．分析结果表明，钢结构节点响应互信息量相关性方法能有效地反映计算模型与实际结构的相关程度．运用互信息量分析方法，对实际钢结构节点有限元动态模型中局部不确定参数进行修改，得到了焊缝材料弹性模量参数与实际结构更加符合的计算模型。     

基于可信度约束结构分析的区间因子法

构建了物理参数、几何参数和载荷同时具有不确定性的桁架结构有限元分析模型,提出了基于可信度约束的区间因子法的结构分析方法;定义了具有可信度约束的区间运算规则;利用区间因子的数学表述,推导出结构位移响应和单元应力响应的计算表达式.算例给出了区间参数结构的响应可能区间及其可信度的计算结果,表明该方法的可行性和有效性.     

基于随机有限元方法的结构响应灵敏度分析

对反映不确定性因素对结构随机响应影响程度的灵敏性进行了研究,引入了一种新的灵敏度因子概念,提出了基于随机有限元方法的结构随机响应灵敏度计算方法,结构实例分析表明该方法的计算结果是合理的,能反映实际情况,研究结果具有推广应用价值,其结论可供结构随机响应灵敏度分析时参考。     

混凝土坝材料参数区间反演分析方法

为了充分考虑不确定性信息对大坝结构力学参数反演结果的影响,利用区间分析方法,依据大坝原型观测数据和有限元数值计算成果,构建了大坝变形区间监控模型.基于此模型,探讨了反演混凝土坝坝体、坝基弹性模量、线膨胀系数等的原理、算法等.实例分析表明,区间分析方法能充分考虑参数反演过程中的多种不确定性,可避免复杂的区间有限元计算,其形式比较简单,效率较高,能方便地应用于实际工程.     

利用响应灵敏度修正Gascogine天桥的有限元模型

用梁格法建立了香港Gascoigne天桥某一跨的有限元模型。并利用基于响应灵敏度有限元法对该有限元模型进行了修正。修正后的有限元模型计算所得到的动态响应与实测的响应比原始有限元模型所得到的吻合得好。文章表明所提方法能够对实际工程结构进行模型修正。     

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)

正~~     

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.