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低速运动船只撞击埋置框架结构动力分析模型

通过引入合理的撞击模型,建立了水面运动船只低速撞击埋置框架结构的传递矩阵-节点耦合矩阵动力分析模型。该模型可模拟船只与结构在撞击过程中的短暂脱离,并分析撞击力时程曲线和整个撞击系统的动力响应。与有限元方法的比较验证了结构传递矩阵-节点耦合矩阵动力分析方法的有效性。不同于规范计算方法,分析发现撞击过程中的最大撞击力不仅与船只的初始动能有关,还受船只与结构间的接触刚度及结构的自身刚度影响,这两种刚度越大,则最大撞击力也越大,撞击持续时间则越短,而撞击力时程曲线的振荡越明显,甚至在船只撞击结构后的很短时间内就可能产生较大的撞击力峰值。     

基于纹理和光谱信息的高分辨率遥感影像分类

提出了一种基于纹理和光谱信息的高分辨率遥感影像分类方法,阐述了其基本原理,并通过试验的对比和分析,证明了利用光谱特征与纹理特征相结合进行分类比单纯运用光谱特征进行分类效果更好。     

基于多种空间权重矩阵的区域经济空间自相关分析——以河南省为例

在空间统计分析的应用中,空间权重矩阵的设定对空间自相关的分析结果有较大的影响。通过构建基于邻接关系和空间距离的两大类共计14组空间权重矩阵,以河南省县域经济为研究对象,计算全局和局部两种空间自相关指数,研究空间权重矩阵对区域经济空间自相关分析的影响。结果表明:1)一阶车矩阵比二阶车矩阵能更好地度量河南省县域经济的空间分布,表明河南省县域经济的空间自相关性主要发生在边界直接相邻的区域之间,空间依赖效应从邻域不断向外辐射的现象不明显。2)合理应用空间距离矩阵的关键是能够正确设定阈值距离d,当40 km<d<50 km时,河南省县域经济呈现显著的空间自相关性。3)由郑州市以及围绕郑州的环形区域共同构成了河南省唯一的大面积高GDP值聚集区域,省会城市的经济外溢现象明显;豫东北的鹤壁市和新乡市为低GDP值聚集区域。     

Development of damage probability matrices based on Greek earthquake damage data

A comprehensive study is presented for empirical seismic vulnerability assessment of typical structural types, representative of the building stock of Southern Europe, based on a large set of damage statistics. The observational database was obtained from post-earthquake surveys carried out in the area struck by the September 7, 1999 Athens earthquake. After analysis of the collected observational data, a unified damage database has been created which comprises 180,945 damaged buildings from/after the near-field area of the earthquake. The damaged buildings are classified in specific structural types, according to the materials, seismic codes and construction techniques in Southern Europe. The seismic demand is described in terms of both the regional macroseismic intensity and the ratio αg/ao, where αg is the maximum peak ground acceleration (PGA) of the earthquake event and ao is the unique value PGA that characterizes each municipality shown on the Greek hazard map. The relative and cumulative frequencies of the different damage states for each structural type and each intensity level are computed in terms of damage ratio. Damage probability matrices (DPMs) and vulnerability curves are obtained for specific structural types. A comparison analysis is fulfilled between the produced and the existing vulnerability models.     

RESIDUAL BILINEARIZATION.PART 1:THEORY AND ALGORITHMS

When using hyphenated methods in analytical chemistry,the data obtained for each sample are given asa matrix.When a regression equation is set up between an unknown sample (a matrix) and a calibrationset (a stack of matrices),the residual is a matrix R.The regression equation is usually solved by minimizing the sum of squares of R.If the sample containssome constituent not calibrated for,this approach is not valid.In this paper an algorithm is presentedwhich partitions R into one matrix of low rank corresponding to the unknown constituents,and onerandom noise matrix to which the least squares restrictions are applied.Properties and possibleapplications of the algorithm are also discussed.In Part 2 of this work an example from HPLC with diode array detection is presented and the resultsare compared with generalized rank annihilation factor analysis (GRAFA).     

RESIDUAL BILINEARIZATION.PART 2:APPLICATION TO HPLC-DIODE ARRAY DATA AND COMPARISON WITH RANK ANNIHILATION FACTOR ANALYSIS

The partial least squares-residual bilinearization(PLS-RBL)approach to background correctionpresented in Part 1 of this work is demonstrated with an example from HPLC with diode array detection.Data are also evaluated with generalized rank annihilation factor analysis(GRAFA)and results arecompared.