基于SiPESC.OPT的结构动力模型修正研究

将模型修正问题转化为优化问题,基于自主研发的优化分析软件SiPESC.OPT并集成结构有限元分析软件,研究了结构动力模型修正问题,通过桁架和Garteur飞机的修正算例很好地证明了该方法的可行性.通过SiPESC.OPT和商用有限元软件的集成,实现了优化算法和有限元分析类型多样性的需求,不仅提高了模型修正的效率,且保证了有限元分析的精度,有很高的工程实用价值.在Garteur飞机修正算例中,详细阐述了模型精化、参数增减及取值范围调整、灵敏度分析等过程,取得了精度很高的修正结果.     

基于模态参数与改进萤火虫算法的结构模型修正

：为尽可能提高结构模型修正的准确性和有效性,提出一种基于模态参数和改进萤火虫算法的有限元模型修正方法. 该方法基于结构模态参数构造目标函数,使用本文提出的改进萤火虫算法进行优化求解,并通过桁架模型数值仿真将改进算法同原始萤火虫算法、遗传算法和粒子群算法进行对比,结果显示：使用改进的萤火虫算法得到的最优解更接近实际值,且离散性低,验证了改进算法求解的准确性和优越性. 最后通过六自由度剪切框架损伤识别模型试验验证了该方法在求解结构有限元模型修正问题上的准确性和有效性.     

优化模型的改进计算方法

最优化模型与方法是近几十年来发展和形成的一门新兴的应用科学,通过应用数学的方法与技术解决各种系统与实际问题.但许多求解方法是基于手工运算,计算工作量较大.而利用各种优化计算软件例如Lingo,Lindo等需要编制较为复杂的程序,解决起来不够直观.而利用Matlab软件中非常直观的优化工具箱中的函数linprog,quadprog对线性规划与二次规划进行快速求解.     

微机CAD系列支撑软件及丛书(7)——微机板、梁、壳、杆有限元优化计算

本软件是学习有限元分析和结构优化设计的读者的基本软件,主要包括板、梁、壳、杆的二维和三维有限元分析及以重量最轻为优化目标的优化设计程序.本软件中包括大量实际应用例题,可帮助读者学习和掌握建立数学模型、求解和使用程序的方法.该软件适用于广大从事结构计算的工程技术人员、高等学校有关专业的师生和研究生.此软件可广泛用于机械结构,土木结构等专业的结构分析与设计.本软件是国     

基于动力测试的混凝土连续梁桥有限元模型修正

为探讨有限元模型修正方法在桥梁结构运营安全性能评估中的有效性,提出了基于动力测试的混凝土连续梁桥有限元模型修正方法。利用有限元软件ANSYS建构了装配式预应力混凝土连续箱梁桥的有限元模型,以动力试验获得竖向前6阶自振频率作为状态变量,构造目标函数。通过分析目标函数对设计参数的灵敏度,选取灵敏度高的设计参数对模型进行修正,调整了模型的物理参数,使模型计算值与试验结果在合理的误差范围内。而后对修正后的模型按照现场实桥荷载试验加载工况进行加载,用现场实桥荷载试验的结果验证了模型修正方法的正确性,表明了修正后的模型能够较准确地反映桥梁结构的实际运营状况,可作为桥梁运营安全性能评估以及维修加固的基准分析模型,具有实际的工程应用价值。     

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.     

和声搜索算法在结构有限元模型修正中的应用

首次将和声搜索算法(harmony search algorithm,HSA)引入结构健康监测领域,并成功应用于结构有限元模型修正.首先介绍和声搜索算法的基本原理及其主要计算步骤;其次将结构有限元模型修正转化为一优化问题,建立目标函数,利用和声搜索算法求解该优化问题,得到结构修正后的有限元模型;最后通过对5层剪切型框架模型进行仿真模拟,验证该方法在结构健康监测领域应用的可行性.拓宽和声搜索算法的应用范围,为结构健康监测提供另一种思路.     

钢桁架拱桥的结构优化分析

为优化钢桁架拱桥的结构设计,利用ANSYS有限元软件的APDL二次开发功能,建立参数化钢桁架拱桥模型,开发影响线计算程序.利用影响线求解桥梁结构最不利活载位置.通过灵敏度分析将优化设计与可靠度分析联系起来,以桥梁结构关键构件和关心位置最大轴向应力和最大竖向位移为状态变量,以截面尺寸为设计变量,并以全桥自重为目标函数,将基于可靠度的结构优化与传统结构优化进行对比.结果表明,基于可靠度的钢桁架拱桥优化结构可以节省大量计算时间和空间,并有效减轻桥梁的自重,改善结构受力.     

基于环境振动和贝叶斯定理的有限元模型 自动修正方法及应用

传统的有限元模型修正方法通常没有定量考虑测试误差和模型误差的不确定性对修正结果的影响,并且难以用于复杂结构.针对上述问题,提出了一种基于环境振动测试和商业软件交互访问的贝叶斯有限元模型修正方法.该方法以环境振动测试和快速贝叶斯方法识别所得模态参数为已知数据,基于贝叶斯定理得到修正参数的后验概率密度函数,利用单纯形法最小化修正参数的负对数似然函数,得到其最有可能值及后验变异系数,并通过SAP2000有限元模型和MATLAB修正程序的交互访问,实现复杂结构有限元模型参数的自动修正.对某两层大跨楼板结构进行了环境振动测试和模态参数识别,利用所提方法直接对混凝土楼板和钢梁的弹性模量进行修正,修正后的自振频率和振型与识别值吻合较好.     

优化模型的改进计算方法

最优化模型与方法是近几十年来发展和形成的一门新兴的应用科学,通过应用数学的方法与技术解决各种系统与实际问题。但许多求解方法是基于手工运算,计算工作量较大。而利用各种优化计算软件例如Lingo,Lindo等需要编制较为复杂的程序,解决起来不够直观。而利用Matlab软件中非常直观的优化工具箱中的函数linprog,quadprog对线性规划与二次规划进行快速求解。     

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.