岩石矿物细胞元随机性参数赋值方法研究

数值计算中利用随机分布对各单元赋予不同的物理力学参数来考虑岩石的非均质性,赋值过程是纯随机的,并没有考虑岩石矿物组成的结构特征。故提出一种新的岩石非均质参数赋值方法--岩石矿物细胞元随机性参数赋值方法,基于岩石矿物种类及其含量定义细胞元类别判定区间,利用Monte Carlo方法对各个细胞元进行矿物类别判定,并进行相应的参数赋值,通过各矿物细胞元的随机混合体来描述岩石的非均质性。该方法既考虑了组成岩石的矿物种类及其含量（结构特征）,又考虑了组成矿物在岩石中的随机分布特征。针对矿物分布的随机特征,利用两矿物细胞元混合模型和三矿物细胞元混合模型进行数值试验,研究了矿物细胞元随机分布特征对岩石宏观力学参数的影响。研究结果表明,岩石矿物细胞元随机性参数赋值方法具有结构性和随机性的双重特性,其随机性不依赖于随机参数,岩石宏观力学参数受细胞元随机性特征的影响很小。     

安徽北淮阳构造变形带特征与应力状态研究

在分析安徽北淮阳构造变形带变形特征和活断层作用的基础上,利用该区现代中小地震资料,采用近震直达P波、S波垂直向最大振幅比方法、震源机制的系统聚类和统计分析法,反演部分地震震源机制,并分析现代中小地震活动特征及应力场状态。结果表明,北淮阳构造变形带上主要断层现今处于活动状态;现代中小地震震源总体较浅,在2次6级地震震中附近形成小震密集区,可能反映了震源区介质相对破碎。震源机制的系统聚类和统计分析结果显示,该区断层以走滑或斜滑型破裂为主,但存在倾滑的逆断层;区内应力作用方向以水平为主,也存在部分垂向力作用;主压应力P轴的优势分布为近EW向,其中既有华北应力场,也有华南应力场作用;有少量近NS向应力场作用存在。反映该区处于应力场过渡区,因此将其作为华北、南华地块区的边界是合理的。     

Evaluation of codified elastic design spectrum models for regions of low-to-moderate seismicity

Design spectrum (DS) model is typically specified in a seismic code of practice for structural design. In a region of low-to-moderate seismicity where seismic code does not exist, a DS model in a well established code of practice is usually adopted, while the suitability of such model has seldom been evaluated. In this article, the elastic DS models for reference (rock) site stipulated in six major codes of practice (AS1170.4–2007, EN1998-1:2004, GB50011–2010, IBC–2012, NBCC–2010 and NZS1170.5:2004) have been compared and scrutinized. Three cities of low-to-moderate seismicity, namely, Melbourne (Australia), Hong Kong (China) and Karlsruhe (Germany), have been selected for illustrative purposes. Particular emphasis has been put on the parameterization scheme for DS model. It is found that huge discrepancies (over 100%) exist among the models, especially at the long period range, due to differences in spectral shapes and the recommended corner periods, which would lead to undesirable effects on the use of the displacement-based seismic design approach. It is urged that the values of corner periods should be determined specifically and cautiously based on the regional seismicity pattern and local geological conditions.     

Impact of model development,calibration and validation decisions on hydrological simulations in West Lake Erie Basin

Watershed simulation models are used extensively to investigate hydrologic processes, landuse and climate change impacts, pollutant load assessments and best management practices (BMPs). Developing, calibrating and validating these models require a number of critical decisions that will influence the ability of the model to represent real world conditions. Understanding how these decisions influence model performance is crucial, especially when making science‐based policy decisions. This study used the Soil and Water Assessment Tool (SWAT) model in West Lake Erie Basin (WLEB) to examine the influence of several of these decisions on hydrological processes and streamflow simulations. Specifically, this study addressed the following objectives (1) demonstrate the importance of considering intra‐watershed processes during model development, (2) compare and evaluated spatial calibration versus calibration at outlet and (3) evaluate parameter transfers across temporal and spatial scales. A coarser resolution (HUC‐12) model and a finer resolution model (NHDPlus model) were used to support the objectives. Results showed that knowledge of watershed characteristics and intra‐watershed processes are critical to produced accurate and realistic hydrologic simulations. The spatial calibration strategy produced better results compared to outlet calibration strategy and provided more confidence. Transferring parameter values across spatial scales (i.e. from coarser resolution model to finer resolution model) needs additional fine tuning to produce realistic results. Transferring parameters across temporal scales (i.e. from monthly to yearly and daily time‐steps) performed well with a similar spatial resolution model. Furthermore, this study shows that relying solely on quantitative statistics without considering additional information can produce good but unrealistic simulations. Copyright © 2015 John Wiley & Sons, Ltd.     

锑矿石化学物相分析方法选择性分离条件验证及准确度评估

目前我国矿石化学物相分析方法,除少数方法具有较广泛的适应性外,多数方法均是针对某一具体矿区的样品而制定,在实际应用中无法确认分析结果的准确性和选择性分离流程的适应范围。验证化学物相分析方法的选择性分离流程及方法准确度是该领域必须解决的问题。本文以我国具有代表性的锑矿类型——单锑硫化矿为研究对象,通过岩矿鉴定确定锑的主要矿物相,从试验样品中挑选验证选择分离条件所需的单矿物,在无法获得锑华单矿物的情况下,通过价态分析确定了锑华与锑酸盐混合物中锑华的比例,并通过系列单矿物选择分离对比条件试验和X射线衍射分析,确定了锑华、辉锑矿和锑酸盐等锑物相的选择性分离条件。结果表明:对于硫化锑含量大于35%的样品,锑硫化相的选择浸出时间从传统的30 min调整为40 min,硫化锑的浸出率提高了4%~6%,硫化锑相对于锑酸盐的串相率降低了45%~70%,硫化锑相浸出完全,提高了硫化锑和黄锑矿相分析的准确度。该方法适用于不同地区、不同类型(氧化矿、硫化矿)锑矿石样品的锑化学物相分析。     

Multi‐slicing strategy for the three‐dimensional discontinuity layout optimization (3D DLO)

Discontinuity layout optimization (DLO) is a recently presented topology optimization method for determining the critical layout of discontinuities and the associated upper bound limit load for plane two‐dimensional and three‐dimensional (3D) problems. The modelling process (pre‐processing) for DLO includes defining the discontinuities inside a specified domain and building the target function and the global constraint matrix for the optimization solver, which has great influence on the the efficiency of the computation processes and the reliability of the final results. This paper focuses on efficient and reliable pre‐processing of the discontinuities within the 3D DLO and presents a multi‐slicing strategy, which naturally avoids the overlapping and crossing of different discontinuities. Furthermore, the formulation of the 3D discontinuity considering a shape of an arbitrary convex polygon is introduced, permitting the efficient assembly of the global constraint matrix. The proposed method eliminates unnecessary discontinuities in 3D DLO, making it possible to apply 3D DLO for solving large‐scale engineering problems such as those involving landslides. Numerical examples including a footing test, a 3D landslide and a punch indentation are considered, illustrating the effectiveness of the presented method. © 2016 The Authors. International Journal for Numerical and Analytical Methods in Geomechanics published by John Wiley & Sons Ltd.     

地震多属性拟合技术在粗粒扇体沉积相图编制中的应用--以玛131井区百口泉组二段为例

由于砾岩岩石类型复杂,储层非均质性强,难以建立地震属性与储层之间的一一对应关系,导致应用地震属性常常具有不确定性和多解性。为了克服单一属性反映粗粒沉积展布的片面性,同类属性间相关信息的彼此干扰性,地震相预测扇体分布的盲目性,针对性的提出了基于地震多属性拟合技术编制粗粒扇体沉积相图的方法:1）建立岩性识别图版;2）属性优化与线性逐步回归拟合含砂砾率;3）均方根振幅属性正态分布约束砂体边界;4）应用拟合含砂砾率等值线图,结合岩相和测井相编制粗粒扇体沉积相图。并将该方法用于玛131井区百口泉组二段的沉积研究中,为研究粗粒扇体沉积提供了新的思路,为玛湖滚动勘探及井位论证提供了可靠地质依据。     

基于最小二乘配置法的优化GM（1,1）预测模型及其应用

针对灰色GM(1,1)预测模型预测结果精度低、模型缺乏稳定性的问题,基于最小二乘配置理论的GM（1,1)预测优化模型,首先通过使得生成序列新预测值的误差在最小二乘意义下最小,选取GM(1,1)模型的最优初值,利用指数函数法构造新的背景值;然后将优化的GM(1,1)模型和最小二乘配置理论有机结合,进一步对优化的GM(1,1)模型进行改进,构建优化的灰色最小二乘配置预测模型;最后通过对建筑物的沉降数据进行定量分析与预报,与其他模型进行对比分析。     

基于贝叶斯机器学习的生态模型参数优化方法研究

参数优化方法是准确估计生态模型参数、降低其不确定性的有效手段。本文提出一种基于贝叶斯机器学习的No-U-Turn Sampler（NUTS）生态模型参数优化方法。NUTS是一种高效的参数优化方法,每次取样中利用递归算法生成候选参数集（二叉树）推断参数的后验信息,如果满足约束条件“非U型回转”,不断构建子树更新参数;否则,记录本次抽样的“最优”参数集,并开始下一次取样,直到获取足够样本。该算法在每次取样中充分优化参数,避免因随机游走行为产生冗余抽样,提高了参数优化效率。本文以千烟洲亚热带人工针叶林碳通量模拟为例,基于Pymc3框架利用NUTS参数优化方法实现了碳通量（Net Ecosystem Exchange,NEE）模型参数反演,并与Metropolis-Hastings（MH）方法进行对比。结果表明,本文算法的参数值达到稳定波动时的抽样次数减少了85%左右,参数优化效率提升3倍左右。参数优化后,2种NEE模型中7个参数不确定性降低10%~53%。此外,NEE模拟效果明显提升,模拟值与实测值的R²分别提高23%和17%,RMSE分别降低3%和4%。综上所述,本文提出的参数优化方法对生态领域的参数估计或数据同化工作具有一定的借鉴意义。     

An experimental study of the liquefaction strength of silty sands in terms of the state parameter

An elaborate program of monotonic and cyclic triaxial laboratory tests on mixtures of sand and silt with fines content 0%, 15% and 25% was performed to investigate the effect of density, consolidation stress and non-plastic fines on the liquefaction strength. The monotonic tests illustrated that the critical state lines of all mixtures do not cross each other, and are, approximately, parallel to each other. The results of the cyclic tests illustrated that the relationship between the cyclic strength and the state parameter does not depend on the consolidation stress, the soil density and the silt content. Analysis in terms of the state parameter showed that: (i) as the consolidation stress increases, the cyclic strength decreases and this effect is more pronounced as the specimens become denser, especially as the fines content increases and (ii) the cyclic strength decreases as the fines content increases and this effect is more pronounced as the specimens become denser.