超高强度钢CF裂纹扩展的超载效应 Ⅰ．定量模型及预测

将Ｗｉｌｌｅｎｂｏｒｇ的超载残余应力场模型与裂尖形变动力学、裂尖表面析氢反应电化学动力学以及裂尖材料内部氢的扩散动力学和热力学相结合，建立了氢脆腐蚀疲劳裂纹扩展（ＣＦＣＧ）超载效应的定量描述模型，给出了超载对裂尖表面析氢电化学反应及裂尖氢扩展影响的一系列判据和表达式．用上述模型进行的预测表明，对于超高强度钢，当两次超载周次之间裂纹扩展长度ａｄ远小于超载塑性区尺寸ｒｐＯＬ与恒载塑性区尺寸ｒｐＣＬＡ之差，即ａｄ＜＜ｒｐＯＬ－ｒｐＣＬＡ时，ＣＦＣＧ会发生比空气疲劳还强烈的超载迟滞效应．而当ａｄ＞ｒｐＯＬ－ｒｐＣＬＡ时，可能会发生超载加速效应．这种预测在后文中由试验的宏观规律与断口特征得到充分验证．     

Heat evolution of high-volume fly ash concrete

In this paper, the results of a laboratory investigation conducted with heat evolution of high-volume fly ash (HVFA) concrete are presented. Heat evolution of concrete was studied by measuring the temperature increase in concrete under adiabatic curing condition. Characteristic of heat evolution of fly ash concrete was found to be strongly dependent on the replacement level of fly ash and dosage of superplasticizer used to maintain workability. It was also found that using fly ash as cement replacement resulted in a reduction on the maximum temperature rise. Increasing the replacement level of fly ash caused lower temperature rise in concrete. Superplasticizer caused a delay in peak temperature rise time; this is taken as an indicator that high-dosage superplasticizer used in concrete caused retardation in hydration of cement. Concretes having similar ingredients showed similar peak temperature rise whether they are superplasticized or not.     

混凝土破裂过程三维数值模拟及CT验证

将混凝土简化成由骨料、水泥砂浆及其二者之间的界面层所组成的三相复合材料，建立了混凝土骨料随机分布三维模型，用界面单元多次细分技术进行有限元网格划分，基于弹性损伤本构关系采用双折线损伤演化模型描述混凝土细观各相弹性损伤退化，用弹性模量的折减程度来反映混凝土试件在加载过程中的损伤程度。对混凝土圆柱体试件进行了数值模拟计算，并从混凝土破坏过程图和荷载-位移曲线图两方面比较了数值模拟的破坏过程与CT试验结果，发现试件破坏时裂纹的萌生、扩展过程与CT观测到的过程具有相似性，说明用本文建立的三维数值模型模拟混凝土材料的损伤破坏过程是基本可行的。     

论黄河三角洲流路演变及河口治理的指导原则

通过分析黄河三角洲流路演变中溯源堆积及溯源冲刷对典河下游河道影响的范围，幅度和作用历时，提出在黄河泥沙从根本上减少之前，河口治理的指导原则应是在有利于工农业发展和有利于防洪防凌前提下，有计划地安排河口流路。     

喷嘴结构对高压射流特性影响研究

自20世纪70年代以来,高压水射流技术已在各工业领域逐渐得到了广泛应用,但迄今仍未能大规模采用,原因是还存在一些有待解决的问题,其中最为迫切的就是如何提高喷嘴射流效率、充分利用其能量的问题。喷嘴是水射流技术应用中获得高能量利用率的关键因素之一,其结构好坏直接影响射流质量。为充分发挥喷嘴最大效率,最大限度地利用水力能量,国内外有关专家从理论分析、数值计算和实验研究3个方面对喷嘴结构与高压射流特性的关系进行了研究分析,结果表明喷嘴结构对射流流动特性、冲蚀性能、空化现象等产生重要影响,指出提高喷嘴效率应当着眼于以下几个方面:加强基础研究;改变射流作用方式、将连续射流调制成脉动射流;充分利用空化空泡破裂压力,研制开发优质喷嘴,以期对拓宽水射流技术在工业中的应用有所帮助。     

合肥盆地演化及构造样式

合肥盆地位于华北地台、扬子地台和北淮扬褶皱带3大构造单元的结合部。由于受大别造山带和郯庐断裂长期活动的影响,总体上可以分为盆地基底形成阶段和盆地形成发展阶段,主要经历了印支期、燕山晚期、喜山晚期的冲断作用及燕山早期、喜山早期的伸展运动,形成了挤压构造、伸展构造、负反转构造和走滑构造等4种局部构造样式。现今的构造样式是上述5期构造运动叠加的结果。对合肥盆地构造特征进行系统研究,将为进行圈闭评价以及今后的钻探提供有利依据。      

An automated tanh-function method for finding solitary wave solutions to non-linear evolution equations

The tanh-function method for finding explicit travelling solitary wave solutions to non-linear evolution equations is described. The method is usually extremely tedious to use by hand. We present a Mathematica package ATFM that deals with the tedious algebra and outputs directly the required solutions. The use of the package is illustrated by applying it to a variety of equations; not only are previously known solutions recovered but in some cases more general forms of solution are obtained.     

面向软件动态演化的需求建模及其模型规范化

针对目前需求工程阶段对软件动态演化考虑不足的现状,在分析软件动态演化面临的挑战的基础上,设计了面向动态演化的需求元模型(dynamic-evolution-orientedrequi rements meta-model,DERM)。该元模型以特征为基本部件,按特征组合的方式建立需求模型,需求模型由行为特征和属性特征组成。行为特征被区分为计算行为特征和交互行为特征,以实现计算和交互的相对隔离;属性特征通过其作用域,指定其在行为特征模型中的作用范围,从而将行为特征模型和属性特征模型统一为需求模型。在此基础上,讨论了需求模型的参照完整性、依赖一致性和互斥一致性,并进一步把需求模型规范化为需求模型第一范式到第三范式,需求模型规范化的过程提供了一种保证需求模型一致性的方法。最后通过案例研究,表明了该方法的可行性及其对软件动态演化的有效支持。     

Personalized course generation and evolution based on genetic algorithms

Online learners are individuals,and their learning abilities,knowledge,and learning performance differ substantially and are ever changing.These individual characteristics pose considerable challenges to online learning courses.In this paper,we propose an online course generation and evolution approach based on genetic algorithms to provide personalized learning.The courses generated consider not only the difficulty level of a concept and the time spent by an individual learner on the concept,but also the changing learning performance of the individual learner during the learning process.We present a layered topological sort algorithm,which converges towards an optimal solution while considering multiple objectives.Our general approach makes use of the stochastic convergence of genetic algorithms.Experimental results show that the proposed algorithm is superior to the free browsing learning mode typically enabled by online learning environments because of the precise selection of learning content relevant to the individual learner,which results in good learning performance.     

利用改进的差分进化算法求解等圆Packing问题

等圆Packing问题属于强约束的复杂组合优化问题之一,针对其强约束特点及难点,通过改进传统的差分进化算法,提出一种等圆Packing问题的求解方法。该改进算法特点是将有效解空间加入差分进化的变异约束中,并采用随机排序机制改进差分进化的选择机制。通过多次实验,表明此算法在求解小规模等圆Packing问题上取得的效果与目前所能找到的最优值相差不到0.6%,从而验证了演化计算在求解等圆Packing问题的可行性;与此同时,演化算法具有很好的收敛性,因此在其他强约束的复杂优化问题上将有很好的应用。