和田玉子料"肉"与"皮"的关系初探

通过对大量和田玉子料的表皮及玉肉的观察与分析以及子料薄片的镜下观察与红外光谱分析,对和田玉子料"肉"与"皮"的关系进行了探讨.子料有以下几种表皮特征:皮色、"汗毛孔"、"砂眼"、裂纹、礓等,玉石内部的特征有礓、杂质、铁花等."皮"与"肉"之间存在一定的对应关系,如:"汗毛孔"的大小会反映玉质的粗细;"砂眼"说明内部有不稳定矿物,如黄铁矿出现处会在表皮形成凹坑;礓出现则往往内外相通,礓的分布特征与玉料品质相关,如星点分布,则严重影响玉石的均匀性.和田玉中的主要组成矿物透闪石也可能表现为礓,其在结构上与其周边玉石迥然不同,不同矿物种类,如透辉石、方解石亦可形成礓.裂纹出现并不都是缺陷,有时会形成沿裂隙分布的鲜艳皮色.以上这些对应关系对于和田玉子料的鉴定、评价以及设计加工都有理论或实践意义.当然目前这些还不能表征和田玉"肉"与"皮"的特征以及对应关系的全部,其中对应关系的原因也有待于深入探讨.     

考虑桩-土体系渐进破坏的单桩承载特性研究

针对目前桩基承载特性确定时未考虑桩-土体系渐进变形过程的现状,采用现场试验和理论分析等手段对考虑桩-土体系渐进破坏的单桩承载特性展开研究。首先,利用现场试验数据对侧阻和端阻的软化特性展开深入探讨,提出了侧阻和端阻软化模型,明确了模型中各参数取值方法,并验证了其合理性。同时,根据提出的侧阻和端阻软化模型,建立了一种可考虑桩-土体系渐进破坏的单桩承载特性的迭代算法。算例分析表明,计算获得的破坏性单桩承载特性与实测值有较好的一致性,且可反映侧阻和端阻的破坏特性。实际工程中,结合单桩承载特性分析算法,可根据单桩的实际受力特点灵活选用不同形式的侧阻和端阻荷载传递函数来分析不同桩顶荷载水平下的单桩受力特性。     

Approximate analytical and numerical solutions for radial non‐Darcian flow to a well in a leaky aquifer with wellbore storage and skin effect

This study investigated non‐Darcian flow to a well in a leaky aquifer considering wellbore storage and a finite‐thickness skin. The non‐Darcian flow is described by the Izbash equation. We have used a linearization procedure associated with the Laplace transform to solve such a non‐Darcian flow model. Besides, the Stehfest method has been used to invert the Laplace domain solutions for the drawdowns. We further analyzed the drawdowns inside the well for different cases. The results indicated that a smaller B_D results in a smaller drawdown at late times and the leakage has little effect on the drawdown inside the well at early times, where B_D is a dimensionless parameter reflecting the leakage. We have also found that the flow for the negative skin case approaches the steady‐state earlier than that for the positive skin. In addition, the drawdown inside the well with a positive skin is larger than that without skin effect at late times, and a larger thickness of the skin results in a greater drawdown inside the well at late times for the positive skin case. A reverse result has been found for the negative skin case. Finally, we have developed a finite‐difference solution for such a non‐Darcian flow model and compared the numerical solution with the approximate analytical solution. It has been shown that the linearization procedure works very well for such a non‐Darcian flow model at late times, and it underestimates the drawdowns at early times. Copyright © 2012 John Wiley & Sons, Ltd.     

Stresses due to vertical subsurface loading for an inhomogeneous cross‐anisotropic half‐space

In this article, we present the solutions for the stresses induced by four different loads associated with an axially loaded pile in a continuously inhomogeneous cross‐anisotropic half‐space. The planes of cross‐anisotropy are parallel to the horizontal surface of the half‐space, and the Young's and shear moduli are assumed to vary exponentially with depth. The four loading types are: an embedded point load for an end‐bearing pile, uniform skin friction, linear variation of skin friction, and non‐linear parabolic variation of skin friction for a friction pile. The solutions for the stresses due to the pile load are expressed in terms of the Hankel integral and are obtained from the point load solutions of the same inhomogeneous cross‐anisotropic half‐space which were derived recently by the authors (Int. J. Rock Mech. Min. Sci. 2003; 40 (5):667–685). A numerical procedure is proposed to carry out the integral. For the special case of homogeneous isotropic and cross‐anisotropic half‐space, the stresses predicted by the numerical procedure agree well with the solutions of Geddes and Wang (Geotechnique 1966; 16 (3):231–255; Soils Found. 2003; 43 (5):41–52). An illustrative example is also given to investigate the effect of soil inhomogeneity, the type and degree of soil anisotropy, and the four different loading types on the vertical normal stress. The presented solutions are more realistic in simulating the actual stratum of loading problem in many areas of engineering practice. Copyright © 2004 John Wiley & Sons, Ltd.     

A hybrid Bayesian back‐propagation neural network approach to multivariate modelling

There is growing interest in the use of back‐propagation neural networks to model non‐linear multivariate problems in geotehnical engineering. To overcome the shortcomings of the conventional back‐propagation neural network, such as overfitting, where the neural network learns the spurious details and noise in the training examples, a hybrid back‐propagation algorithm has been developed. The method utilizes the genetic algorithms search technique and the Bayesian neural network methodology. The genetic algorithms enhance the stochastic search to locate the global minima for the neural network model. The Bayesian inference procedures essentially provide better generalization and a statistical approach to deal with data uncertainty in comparison with the conventional back‐propagation. The uncertainty of data can be indicated using error bars. Two examples are presented to demonstrate the convergence and generalization capabilities of this hybrid algorithm. Copyright © 2003 John Wiley & Sons, Ltd.     

嵌岩桩负摩阻力现场试验与计算方法研究

桩-土剪切位移对桩基负摩阻力发展有重要的影响。在既有研究的基础上,通过桩周土体沉降与桩身应变的监测结果建立了计算桩-土剪切位移量的方法。利用该方法对浅中层桩-土监测数据进行分析,确定了在桩顶自由条件下该试验场地桩-土剪切位移量在4~5 mm;对于深层桩-土没有达到该剪切位移量,负摩阻力则无法发挥至极值。根据负摩阻力的发挥特征,改进了规范中嵌岩桩负摩阻力的计算方法,该方法同时考虑了桩周土竖向有效应力与桩土剪切位移的影响。使用该方法计算的负摩阻力与实测结果较为吻合,获得的下拉荷载能够达到安全与经济的效果,可供工程设计参考、借鉴。     

不同堆载形式对群桩负摩阻力的影响

在既有桥墩桩基础周围土体堆载时,会引起土体的沉降和侧向变形,进而在桩身产生负摩阻力,对桩基变形及承载性能有很大影响。为研究围载和单侧边载作用下群桩中不同位置桩基的受力差异,以3×3群桩基础为研究对象,进行围载和单侧边载作用下的模型试验,分析了不同位置桩基轴力、侧摩阻力、中性点位置和基桩承载力安全系数等的变化规律及差异。研究结果表明：围载工况下,角桩的轴力、侧摩阻力最大,边桩次之,中心桩最小;中性点位置角桩最深,边桩略高,中心桩距桩顶最近。边载工况下,靠近边载侧和中间一排桩基轴力、侧摩阻力与围载时的变化规律类似,远离边载侧的一排桩基受边载影响较小,无负摩阻力;各桩基中性点位置变化规律类似于围载工况。与围载工况相比,边载时同一位置桩身轴力、负摩阻力均较小,中性点位置较高。与单侧边载工况相比,围载时各基桩承载力安全系数FS均较小且随荷载的增大衰减梯度较大。该研究成果为不同堆载形式下群桩基础的设计提供参考。     

利用限制性最大似然方法和贝叶斯方法估计大菱鲆生长性状的遗传参数。

Bayesian and restricted maximum likelihood(REML) approaches were used to estimate the genetic parameters in a cultured turbot Scophthalmus maximus stock. The data set consisted of harvest body weight from 2 462progenies(17 months old) from 28 families that were produced through artificial insemination using 39 parent fish. An animal model was applied to partition each weight value into a fixed effect, an additive genetic effect, and a residual effect. The average body weight of each family, which was measured at 110 days post-hatching, was considered as a covariate. For Bayesian analysis, heritability and breeding values were estimated using both the posterior mean and mode from the joint posterior conditional distribution. The results revealed that for additive genetic variance, the posterior mean estimate( δ_a~2=9 320) was highest but with the smallest residual variance,REML estimates( δ_a~2=8 088) came second and the posterior mode estimate( δ_a~2=7 849) was lowest. The corresponding three heritability estimates followed the same trend as additive genetic variance and they were all high. The Pearson correlations between each pair of the three estimates of breeding values were all high,particularly that between the posterior mean and REML estimates(0.996 9). These results reveal that the differences between Bayesian and REML methods in terms of estimation of heritability and breeding values were small. This study provides another feasible method of genetic parameter estimation in selective breeding programs of turbot.