整体最小二乘的迭代解法

在引入整体最小二乘平差准则的基础上,推导了整体最小二乘的迭代解法;同时,引入多元函数隐函数求导的方法以确定未知参数对观测数据的线性信息,解决了整体最小二乘下的精度评定问题。给出了运用新的解法在拟合函数确定以及坐标转换参数确定等方面的应用实例,验证了新算法的可行性。     

基于能量原理的Park & Ang损伤模型简化计算方法

Park＆Ang损伤模型综合考虑了结构最大变形和累积滞回耗能的耦合作用,具有一定的先进性,被国内外研究者广泛采用;但由于该模型中参数的计算困难,尤其涉及结构滞回耗能的计算问题时,该模型的应用受到了一定的限制;文中从能量的关系入手,寻找出结构滞回耗能与结构最大位移的关系,利用该关系可方便求解出结构的滞回耗能,从而为该模型的计算提供了一种简便方法;最后,例题分析证明本文的方法简便可行,计算效率高。     

两种震级标度讨论

分析论述了我国在测报近震震级和面波震级业务中存在的种种问题，用现行起算函数测算的ML随震中距存在系统偏差，近场偏低，远场偏高；此函数系统建立的方法有不合理之处，它不适于DD-1仪。用现行公式测算的MS与国际上震级水平不一致，总体趋势偏高；在90(距离上震级零点严重失控；用单一水平向记录计算MS是个原则性差误。需要用新的起算函数系统代替R1(()计算ML; 需要用新的公式取代现行公式计算MS。     

序贯高斯模拟在矿石品位估计中的应用研究

随机模拟是地质统计方法的重要内容。在矿石品位估计方法中克里格方法作为一种无偏估计方法,常被用于矿石品位的估计。但克里格法估值存在平滑效应。作者在分析序贯高斯模拟和普通克里格法基本原理的基础上,运用序贯高斯模拟方法和普通克里格方法对某铁矿体内全铁(TFe)品位进行估计,给出了品位估计结果模型。研究从勘探线方向、垂直勘探线方向和竖直方向分别计算变差函数,对球状模型、指数模型、高斯模型的变差函数拟合效果进行了优选,结果表明球型模型拟合效果最好。针对序贯模拟和克里格品位估值效果进行了分析,结果显示:序贯高斯模拟结果在品位分布形态上更接近样品品位分布形态,其平滑效应更小;克里格方法估计与序贯高斯模拟方法相比仅在品位均值方面更接近样本品位均值。因此,认为序贯高斯模拟方法可以更好地刻画矿体内品位分布状态。     

速度传感反馈地震计的参数稳定性分析

从理论上定量分析机械摆和环路滤波等开环诸参数变化对速度传感反馈地震计闭环参数的影响.研究指出,在环路设计中可半自由选取的开环阻尼取值对参数稳定性有重要影响.过大或过小的开环阻尼取值均可能造成参数稳定性急剧变差,影响地震计在只标不调的状况下长期连续稳定工作.     

A simplified method for simulation of strong ground motion using finite rupture model of the earthquake source

We present a simplified method to simulate strong ground motion for a realistic representation of a finite earthquake source burried in a layered earth. This method is based on the stochastic simulation method of Boore (Boore, D. M., 1983, Bull. Seism. Soc. Am. 73, 1865–1894) and the Empirical Greens Function (EFG) method of Irikura (Irikura, K., 1986, Proceedings of the 7th Japan Earthquake symposium, pp. 151–156). The rupture responsible for an earthquake is represented by several subfaults. The geometry of subfaults and their number is decided by the similarity relationships. For simulation of ground motion using the stochastic simulation technique we used the shapping window based on the kinetic source model of the rupture plane. The shaping window deepens on the geometry of the earthquake source and the propagation characteristics of the energy released by various subfaults. The division of large fault into small subfaults and the method for accounting their contribution at the surface is identical to the EGF. The shapping window has been modified to take into account the effect of the transmission of energy released form the finite fault at various boundaries of the layered earth model above the source. In the present method we have applied the correction factor to adjust slip time function of small and large earthquakes. The correction factor is used to simulate strong motion records having basic spectral shape of ² source model in broad frequency range. To test this method we have used the strong motion data of the Geiyo earthquake of 24th March 2001, Japan recorded by KiK network. The source of this earthquake is modelled by a simple rectangular rupture of size 24 × 15 km, burried at a depth of 31 km in a multilayered earth model. This rupture plane is divided into 16 rectangular subfaults of size 6.0 × 3.75 km each. Strong motion records at eight selected near-field stations were simulated and compared with the observed records in terms of the acceleration and velocity records and their response spectrum. The comparison confirms the suitability of proposed rupture model responsible for this earthquake and the efficacy of the approach in predicting the strong motion scenario of earthquakes in the subduction zone. Using the same rupture model of the Geiyo earthquake, we compared the simulated records from our and the EGF techniques at one near-field station. The comparison shows that this technique gives records which matches in a wide frequency range and that too from simple and easily accessible parameters of burried rupture.     

Neural network and wavelet conjunction model for modelling monthly level fluctuations in Turkey

This paper proposes the application of a conjunction model (neuro‐wavelet) for forecasting monthly lake levels. The neuro‐wavelet (NW) conjunction model is improved combining two methods, discrete wavelet transform and artificial neural networks. The application of the methodology is presented for the Lake Van, which is the biggest lake in Turkey, and Lake Egirdir. The accuracy of the NW model is investigated for 1‐ and 6‐month‐ahead lake level forecasting. The root mean square errors, mean absolute relative errors and determination coefficient statistics are used for evaluating the accuracy of NW models. The results of the proposed models are compared with those of the neural networks. In the 1‐month‐ahead lake level forecasting, the NW conjunction model reduced the root mean square errors and mean absolute relative errors by 87–34% and 86–31% for the Van and Egirdir lakes, respectively. In the 6‐month‐ahead lake level forecasting, the NW conjunction model reduced the root mean square errors and mean absolute relative errors by 34–48% and 30‐46% for the Van and Egirdir lakes, respectively. The comparison results indicate that the suggested model could significantly increase the short‐ and long‐term forecast accuracy. Copyright © 2009 John Wiley & Sons, Ltd.     

用经验模型判断能力验证统计分析结果的合理性

能力验证是检测实验室识别与同行差异的一种途径,但中国合格评定国家认可委员会( CNAS)在组织能力验证时发现由于种种原因,有些实验室并不能秉承诚信的原则参加能力验证活动,导致统计分析结果“失真”.如何甄别这种情况,确保所有参加CNAS能力验证活动的实验室都获得公平的评价,这是CNAS亟待解决的问题.本文在用国内文献数据对经验模型进行修正的基础上,提出用上报数据目标标准偏差(或稳健标准偏差,sR)与基于经验模型的计算值之比(H值)是否小于0.5作为判据来审核上报数据统计分析结果的合理性.对13套能力验证数据分析表明:其中10套上报数据sR正常,3套数据存在问题.当目标标准偏差偏小,H＜0.5时,建议采用同样是稳健统计方法的迭代法代替四分位法来计算目标标准偏差(sR),或用经验模型计算结果代替实验值计算Z值.通过验证表明,借助Horwitz经验模型可以判断能力验证数据统计分析结果的合理性,并能有效地识别并防止由于某种原因导致对能力验证结果评价失效的情况.     

快速射电暴的数据统计

快速射电暴于2007年首次在脉冲星巡天的历史数据中被发现,是一种在射电波段观测到的具有色散量的单个强脉冲,其特征为持续时间仅为若干毫秒,峰值流量密度可达到央斯基量级。类似于射电脉冲星的单个脉冲,但其色散显著超过同一视线方向上银河系内星际介质的预期最大值。对截止2018年6月帕克斯望远镜、绿岸望远镜、阿雷西博射电望远镜、UTMOST望远镜和ASKAP望远镜已探测到的52例快速射电暴进行了观测量统计分析,根据模型扣除银河系星际介质导致的色散量后,快速射电暴平均色散量为584.5 pc·cm^-3,暗示着快速射电暴来自河外。通过最佳拟合估算红移幂律分布谱dN/dF_obs=4.14±1.30×F■sky^-1·day^-1。根据分析结果预计,FAST望远镜使用19波束接收机后,其多科学目标同时巡天在经过一年时间内能发现大约10个快速射电暴,将有效地扩大样本数量,为快速射电暴研究提供重要信息。     

Stellar contents of two young open clusters: NGC 663 and 654

UBVRI CCD photometry in a wide field around two young open clusters, NGC 663 and 654, has been carried out. Hα and polarimetric observations for the cluster NGC 654 have also been obtained. We use the photometric data to construct colour–colour and colour–magnitude diagrams, from which we can investigate the reddening, age, mass and evolutionary states of the stellar contents of the these clusters. The reddening across the cluster regions is found to be variable. There is evidence for anomalous reddening law in both clusters; however, more infrared and polarimetric data are needed to conclude about the reddening law. Both clusters are situated at about a distance of 2.4 kpc. Star formation in both clusters is found to be a continuous process. In the case of NGC 663, star formation seems to have taken place sequentially, in the sense that formation of low-mass stars precedes the formation of most massive stars. Whereas, in the case of NGC 654, formation of low-mass stars did not cease after the formation of most massive stars in the cluster.