环境激励下一种基于免疫机制的结构损伤诊断方法

结构状况发生改变时,结构的振动特性将发生变化。免疫算法能有效检测出振动特性的变化。本文将环境激励下的结构响应重构相空间,对其进行奇异值分解后,选择适当个数的奇异值构造特征参数集合,应用反向选择算法进行异常值检测,以ASCE学会提出的基准结构为对象进行研究,讨论了不同个数的特征参数对检测结果的影响。分析表明,该算法能有效地判断结构状况的变化。     

地震动随机函数模型研究(Ⅰ)——模型建立

基于随机过程的随机函数解释,发展了一种随机地震动模型.模型包括两个部分,分别是基于理论物理关系的Fourier幅值谱模型和基于经验关系的Fourier相位谱模型.基于拟加速度谱概念建立的幅值谱模型能够反映强震记录的幅值特性,而Fourier相位谱模型则利用累积相位谱的单值连续特性,以线性多项式与三角级数组合的形式给出.模拟记录与实测记录对比结果显示两者不仅在波形结构上相似性良好,而且反应谱层次亦吻合良好.     

单台地震观测报告震相数据的验证方法探讨

简要介绍了利用电子走时表和网上地震目录对单台地震观测报告的震相数据进行初步检查的方法及其软件实现,认为,利用该方法可找出观测报告中分析错误和误差较大的震相,可作为一种对单台地震观测报告进行检查的有效方法。     

岩石圈中水的临界奇异性与断裂耦合触发地震

以等压热容为例,研究岩石圈中水的临界奇异性及出现的条件,探讨岩石圈中水的临界奇异性与断裂耦合作用触发地震的可能性。岩石圈中水存在一、二级相变,相变时水的物理化学性质将发生明显改变,在临界点处表现出奇异性,如热容、膨胀系数和压缩系数等将趋于无穷大,按照Mie-Grneisen方程((P/T)V=γρCV),热容无穷大时将导致热压也趋于无穷大,压力将瞬时剧增。但水的临界奇异性出现的条件是温、压同时趋于临界值,在岩石圈中温、压是相互关联的,按照正常的地温梯度(15～35℃/km)和地压梯度(0.025～0.03GPa/km)计算,达到水的临界温度和压力的深度分别是24～10km和0.88～0.73km,即在岩石圈中若没有断裂的存在时则不可能同时达到水的临界温度和临界压力,不可能出现临界奇异性。断裂使压力降至水的临界压力,使得在岩石圈中某处温度和压力可同时达到水的临界值而出现奇异性,水的临界奇异性和断裂的耦合导致热压剧增,可能触发地震     

A new multiscale scheme for computing statistical moments in single phase flow in heterogeneous porous media

In this work we develop a new multiscale procedure to compute numerically the statistical moments of the stochastic variables which govern single phase flow in heterogeneous porous media. The technique explores the properties of the log-normally distributed hydraulic conductivity, characterized by power-law or exponential covariances, which shows invariance in its statistical structure upon a simultaneous change of the scale of observation and strength of heterogeneity. We construct a family of equivalent stochastic hydrodynamic variables satisfying the same flow equations at different scales and strengths of heterogeneity or correlation lengths. Within the new procedure the governing equations are solved in a scaled geology and the numerical results are mapped onto the original medium at coarser scales by a straightforward rescaling. The new procedure is implemented numerically within the Monte Carlo algorithm and also in conjunction with the discretization of the low-order effective equations derived from perturbation analysis. Numerical results obtained by the finite element method show the accuracy of the new procedure to approximated the two first moments of the pressure and velocity along with its potential in reducing drastically the computational cost involved in the numerical modeling of both power-law and exponential covariance functions.     

Time and space nonlocalities underlying fractional-derivative models: Distinction and literature review of field applications

We investigate the spatiotemporal nonlocality underlying fractional-derivative models as a possible explanation for regional-scale anomalous dispersion with heavy tails. Properties of four fractional-order advection–dispersion equation (fADE) models were analyzed and compared systematically, including the space fADEs with either maximally positive or negative skewness, the time fADE with a temporal fractional-derivative 0<γ<1$0<\gamma <1$, and the extension of the time fADE with 1<γ<2$1<\gamma <2$. Space fADEs describe the dependence of local concentration change on a wide range of spatial zones (i.e., the space nonlocality), while time fADEs describe dynamic mass exchange between mobile and multiple immobile phases and therefore record the temporal history of concentration “loading” (i.e., the time-nonlocality). We then applied the fADEs as models of anomalous dispersion to four extensively-studied, regional-scale, natural systems, including a hillslope composed of fractured soils, a river with simultaneous active flow zones and various dead-zones, a relatively homogeneous glaciofluvial aquifer dominated by stratified sand and gravel, and a highly heterogeneous alluvial aquifer containing both preferential flowpaths and abundant aquitards. We find that the anomalous dispersion observed at each site might not be characterized reasonably or sufficiently by previous studies. In particular, the use of the space fADE with less than maximally positive skewness implies a spatial dependence on downstream concentrations that may not be physically realistic for solute transport in watershed catchments and rivers (where the influence of dead-zones on solute transport can be described by a temporal, not spatial, fractional model). Field-scale transport studies show that large ranges of solute displacement can be described by a space nonlocal, fractional-derivative model, and long waiting times can be described efficiently by a time-nonlocal, fractional model. The unknown quantitative relationship between the nonlocal parameters and the heterogeneity, and the similarity in concentration profiles that are solutions to the different nonlocal transport models, all demonstrate the importance of distinguishing the representative nonlocality (time and/or space) for any given regional-scale anomalous dispersion process.     

活断层数据库在昆明市防震减灾工作中的应用研究

简要介绍了活断层数据库的数据成果,并对活断层数据库的成果在昆明市城市规划及生命线工程等重要设施的避让距离确定等防震减灾工作中的应用进行了初步探讨.     

“十五”测震台网数据库的应用程序开发

通过介绍地震数据查询和分析处理软件的编程经验,简要阐述了基于“十五”测震台网数据库客户端应用程序的开发思路。“十五”测震台网Jopens系统数据库,为开发Windows环境下的地震数据分析处理软件提供了良好的在线数据资源,借助MySql ODBC驱动程序开发Mysql客户端软件不失为一种较好的方法。     

经受住汶川8．0级地震考验的RSDA-1采集器

RSDA-1地震数据采集器是四川省地震局水库地震研究所于2006年7月～2007年6月研制出的新产品,2007年8月用于瓦屋山水库地震台网的4个台站和紫坪铺水库地震台网的庙子坪地震台。庙子坪地震台位于汶川8．0级地震震中区15km的极震区。截止2008年8月,历时一年并经受住汶川8．0级地震考验的RSDA-1采集器总体运行良好。本文从运行情况、事件定位和“平坦限幅”等3方面说明RSDA-1采集器在两个水库地震台网的运行情况。     

基于吸收滤波技术的储层气水性质识别方法

目前,人们主要从岩性、物性、电性、弹性阻抗等角度,对储层中气水的性质进行预测,然而成功率却并非很高.其实,从频率或能量响应的角度出发,或许能提高气水识别的成功率.由于频率是物质的固有属性,地震波经过含气或含水的储层后,在不同的频段将有不同的响应特征,但在原始地震剖面上却很不容易发现.利用基于ARMA模型时间序列分析方法和Prony信号分析理论的吸收滤波技术,结合测井、岩石物理、地质、地震等资料,分析含气储层和含水储层的不同吸收衰减特征和响应差异.由此可以实现气水性质的有效识别,最终达到直观、快捷的预测优质含气储层的目的.将该技术应用到气水裂缝理论模型的试算和川西坳陷深层须家河组气藏的含气性识别中,均获得了良好的应用效果.