桩基优化设计经济效益分析

分析岩土工程勘察报告中所揭示的地基土层特性,根据所掌握的大量桩基工程检测试验数据、沉降观测实测数据,对桩周（端）地基土的受荷性能以及基桩工作性状进行研究,通过静载荷试验的实际桩基承载能力,分析推导出优化地基土桩基设计参数。据此优化带来了一定的经济效益。     

风化作用对铁陨石矿物学特征影响的探讨

本文对南丹IIICD铁陨石的矿物学特征进行了研究,并与同为铁陨石但化学分类不同的阿根廷IAB铁陨石和西伯利亚IIB铁陨石进行了对比,重点探讨了风化作用对铁陨石矿物学特征的影响.首先用偏光显微镜、静水称重、扫描电镜观察了样品的基本矿物学特征和微形貌特征,然后用振动式样品磁强计、X射线衍射与电子探针能谱半定量测试研究了样品的磁学性质、物相和化学组成.研究结果表明,南丹铁陨石在较强的自然风化作用下,光泽变弱为土状光泽,相对密度降低;风化产生的反铁磁性物质会使陨石的磁性下降;另外,样品表面物相组成也发生较大变化,以针铁矿(FeOOH)和磁铁矿(Fe₃O₄)等铁的次生矿物为主;但风化壳以下的矿物物相及化学成分均未发生明显变化,以Fe、Ni为主的铁纹石、镍纹石物相存在.     

自钻式原位剪切旁压模型不同固结荷载颗粒流数值试验

自钻式原位剪切旁压仪具有扰动小,能同时测出不同深度土的变形和强度参数,在精确测定土体参数方面具有广阔的应用前景。然而,目前受分析手段与研究水平的限制,对SBISP多级加载过程中周围土体的变形响应研究较少,而土体变形参数的确定与其变形机制是密切相关的。基于此,应用PFC3D颗粒流程序对不同固结荷载SBISP模型进行了仿真数值试验,试验结果表明:随着剪应力的逐级施加,中间区域颗粒的位移量不断增大,且位移矢量方向性更加显著,在第5级剪应力作用下,影响区域位移矢量形状呈现为倒锥形;而随着上覆固结压力的增大,探头周围试样的受影响范围逐渐变小;在探头作用下球颗粒的运动轨迹呈台阶状,台阶形态随距探杆中心距离增大而趋于平缓,球颗粒的Z向位移量亦随之呈负指数形式衰减;此外,剪应力与探头摩擦系数呈正相关关系,但当摩擦系数达到某一阈值时,剪应力-位移曲线不再变化。其研究成果对于深入开展SBISP试验多级加载过程中影响域内土体变形过程与变形模量之间关系研究具有重要启迪意义。     

高铁隧道GPR技术研究与应用

应用基于时间域有限差分法模拟软件GPRMax2D,对高铁隧道衬砌典型的不良情况,如厚度不足、空洞和钢筋布置不合理等进行了正演模拟,得到了隧道衬砌典型不良情况的正演模拟雷达图像。结合某高铁隧道工程实际检测得到的雷达图像,对两者图像作了对比分析,总结得到了隧道衬砌不良情况雷达图像的特征规律,完善了探地雷达图像资料特征解释库,提高了识别高铁隧道衬砌典型不良情况雷达图像的可信度,为高速铁路隧道的无损检测提供了有效的依据。     

兰州地区降水量正态分布特征

在对降水资料的分析过程中,要求资料的时间序列呈正态分布。利用兰州地区的兰州、皋兰、榆中和永登4个站点1960~2009年的降水量资料,采用"偏度—峰度系数+W检验"方法,基于SPSS软件,对兰州地区的年、季和月降水量正态特征进行分析。结果表明,兰州地区4个气象站的年降水量均呈正态性分布;兰州、皋兰和永登3站的夏、秋2季降水量为正态性分布,而榆中站只有秋季降水量为正态性分布,且秋季降水量的正态性最好,冬季最差;大多数月降水量不服从正态分布,但对降水序列进行平方根处理后,其正态性得到明显的改善。     

GPS接收机内部噪声水平测试方法研究

阐述了在GPS精度鉴定系统中,针对短基线快速检核GPS接收机内部噪声水平测试方法进行研究,并结合试验验证了方法的可靠性.     

Hydromechanical behavior of Tournemire argillites: Measurement of the poroelastic parameters and estimation of the intrinsic permeability by œdometric tests

Knowledge of shale poromechanical behavior is proven to be essential for various environmental issues such as deep geological storage of CO₂, high level radioactive waste storage, oil field abandonment and so forth… This paper sets out the key points of shale experimental characterization within the framework of Biot's mechanics of fluid saturated porous solids. Shales are well known to present a more or less transverse isotropy. This paper describes a full methodology for ?dometric tests on such sensitive and weakly permeable material. To illustrate this methodology, measurements carried out on Tournemire argillite are proposed. A transverse isotropic poroelastic model is also used to give a more in depth understanding of the hydromechanical coupling. Copyright © 2010 John Wiley & Sons, Ltd.     

Aquifer heterogeneity determination through the slope method

In arid‐region wadis, groundwater storage lies within shallow Quaternary alluvium deposits, which are connected with the present‐day hydrological cycle and, therefore, are replenished due to occasional runoff and flash flood occurrences. The groundwater resources are precious in these environments; therefore, their potentiality must be assessed with care in the best manner. The aquifer potentiality is calculated after the storativity and transmissivity parameter estimations, which require rather long‐duration field tests with restrictive assumptions in the theoretical model developments, such as the homogeneity and isotropy. It is the main purpose of this paper to expose the fundamentals of the slope‐matching procedure (SMP) and its application for short‐duration field tests in arid‐region aquifers. In this manner, the subsurface hydrogeological behaviours of the bored land pieces at and around the well locations are prospected in a detailed and refined manner. It is shown that in many cases the classical techniques are appropriate, inconvenient and inapplicable with conclusive reliable results and conclusions. The application of the SMP is presented for some aquifer tests from the central western part of the Kingdom of Saudi Arabia. Copyright © 2007 John Wiley & Sons, Ltd.     

Simulation of probability distributions commonly used in hydrological frequency analysis

Random variable simulation has been applied to many applications in hydrological modelling, flood risk analysis, environmental impact assessment, etc. However, computer codes for simulation of distributions commonly used in hydrological frequency analysis are not available in most software libraries. This paper presents a frequency‐factor‐based method for random number generation of five distributions (normal, log–normal, extreme‐value type I, Pearson type III and log‐Pearson type III) commonly used in hydrological frequency analysis. The proposed method is shown to produce random numbers of desired distributions through three means of validation: (1) graphical comparison of cumulative distribution functions (CDFs) and empirical CDFs derived from generated data; (2) properties of estimated parameters; (3) type I error of goodness‐of‐fit test. An advantage of the method is that it does not require CDF inversion, and frequency factors of the five commonly used distributions involves only the standard normal deviate. Copyright © 2006 John Wiley & Sons, Ltd.     

BIBLIOGRAPHIE

Abstract

Time series modelling approaches are useful tools for simulating and forecasting hydrological variables and their change through time. Although linear time series models are common in hydrology, the nonlinear time series model, the Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model, has rarely been used in hydrology and water resources engineering. The GARCH model considers the conditional variance remaining in the residuals of the linear time series models, such as an ARMA or an ARIMA model. In the present study, the advantages of a GARCH model against a linear ARIMA model are investigated using three classes of the GARCH approach, namely Power GARCH, Threshold GARCH and Exponential GARCH models. A daily streamflow time series of the Matapedia River, Quebec, Canada, is selected for this study. It is shown that the ARIMA (13,1,4) model is adequate for modelling streamflow time series of Matapedia River, but the Engle test shows the existence of heteroscedasticity in the residuals of the ARIMA model. Therefore, an ARIMA (13,1,4)-GARCH (3,1) error model is fitted to the data. The residuals of this model are examined for the existence of heteroscedasticity. The Engle test indicates that the GARCH model has considerably reduced the heteroscedasticity of the residuals. However, the Exponential GARCH model seems to completely remove the heteroscedasticity from the residuals. The multi-criteria evaluation for model performance also proves that the Exponential GARCH model is the best model among ARIMA and GARCH models. Therefore, the application of a GARCH model is strongly suggested for hydrological time series modelling as the conditional variance of the residuals of the linear models can be removed and the efficiency of the model will be improved.

Editor D. Koutsoyiannis; Associate editor C. Onof

Citation Modarres, R. and Ouarda, T.B.M.J., 2013. Modelling heteroscedasticty of streamflow times series. Hydrological Sciences Journal, 58 (1), 1–11.