考虑土体变形与界面剪切耦合作用锚杆拉拔响应

针对土层锚杆在拉拔荷载作用下的轴向变形问题,考虑锚杆周边土体变形与锚-土界面剪切的耦合作用,建立了表征锚杆锚固体荷载传递机理的有限差分物理模型。通过数值编程求解该模型,获得了不同拉拔荷载水平下的锚杆轴向变形和土体剪切变形的解答,从而明确了锚固体在拉拔过程中荷载变形曲线和沿杆体长度方向的轴力分布规律。方法与荷载传递方法和剪切位移法等对某实际工程中灌浆锚杆案例进行分析,将各方法所获解答与实测数据进行了对比分析。结果表明:考虑土体变形与界面剪切耦合的模型可以获得与实测数据更为吻合的荷载位移曲线和轴力分布,验证了该模型的优越性和准确性。     

基于高度残缺信息的分布式语言信任网络群决策方法

针对缺失的分布式语言信任社会矩阵以及高度残缺的评价信息, 提出一种新的分布式语言信任网络群决策方法。首先, 提出了一种分布式语言信任传递模型以填充分布式语言信任社会矩阵中的缺失值。其次, 定义了基于分布式语言信任社会矩阵的个体信任中心度和群体信任中心度, 并在此基础上提出了确定评价网络中专家权重的方法。再者, 鉴于决策矩阵中评价信息存在高度残缺的情形, 利用K-近邻算法评估残缺的评价信息, 并基于分布式语言信任函数的距离测度提出一种改进的逼近理想解排序(technique for order preference by similarity to an ideal solution, TOPSIS)法。最后, 通过外卖服务平台性价比的综合评估验证该群决策方法的可行性和有效性。     

一类具有调和因子的函数

对椭圆型偏微分方程在条件Ｎ（ｘ，ｙ，ｚ）＝Ｐ￣２（ｘ）＋Ｑ￣２（ｙ）＋Ｒ￣２（ｚ）＋ｐ＇（ｘ）＋Ｑ＇（ｙ）＋Ｒ＇（ｚ）下给出一种变量替换，借助于这种变换，可把其化为泊松方程。从而其各种定解问题解的研究可以变得简单。在此基础上引入一类具有调和因子的函数。     

三元酸易溶酸式盐溶液酸碱度的计算

对三元酸易溶酸式盐溶液(铵盐除外)中H^ 离子浓度的计算公式及公式的应用进行讨论。     

Multiple Criteria Decision Making with Respect to Multiple Experts *

１ＩｎｔｒｏｄｕｃｔｉｏｎＩｎｔｈｅｓｔｕｄｙｏｆｄｅｃｉｓｉｏｎｍａｋｉｎｇｉｎａｃｏｍｐｌｅｘｅｎｖｉｒｏｎｍｅｎｔ,ｔｈｅｔｅｒｍ“ＭｕｌｔｉｐｌｅＯｂｊｅｃｔｉｖｅＤｅｃｉｓｉｏｎＭａｋｉｎｇ（ＭＯＤＭ）”ｉｓａｌｓｏｆｒｅｑｕｅｎｔｌｙｃｉ...     

POSITIVE SOLUTIONS OF SINGULAR SUBLINEAR SECOND ORDER BOUNDARY VALUE PROBLEMS

1.IntroductionBoundaryvaluepr0blemsconcerningthegeneralizedEmden-F0wlerequationsx p(t)x'=O,(1)wherep(t)eC(O,1),p(t)20f0rtE(O,1),AER,havebeenstudiedbymanyauthors(see[1-51andthereferencestherein).InthispaperwetreattheDirichletproblem(1)withax(0)-bx'(0)=O,c…     

Primary Structural and Quantitative Analysis of Infeasible Solution to Job shop Scheduling Problem

1　IntroductionTheJobShopSchedulingProblemisawell-knownNP-hardproblem,whichattractslotsofmathematiciansallovertheworldspendingmuchtimeandenergyinthisfield.Uptonowtherearemanyefficientheuristicalgorithms,whichhadalreadybeendeveloped,buttheinfeasiblesolutioncertainlypossessesthemajorityofsearchspacewhichhasinfluencedtheefficiencyofthesealgorithms.Atthemoment,noonehasbeenfoundtobededicatingtothequantitativeanalysisoftheinfeasiblesolutionproblem.InthispaperthestructureofinfeasiblesolutiontoJSS…     

基于无容量限制的p-枢纽中位问题的随机优化

在枢纽网络设计时, 未来的成本和需求等参数具有不确定性. 为了使设计的网络能在各种情景下具有最优的期望成本, 提出了无容量限制的多分配严格p-枢纽中位随机优化模型. 考虑到模型本身的结构特点和复杂程度, 采用了PH分解算法结合增广拉格朗日松弛算法, 将原问题转化为若干个独立子问题来求解. 使用了基于经典算例的随机数据集合对模型和算法进行了测试, 算例结果表明尤其在情景数量较大的情况下, 算法体现出较高的效率. 同时, 通过随机解价值分析了使用随机优化模型对于该算例的意义.     

Tax Evasion: Models with Self-Audit

Different from traditional tax audit, supervision with self-audit is a combination of audit by the taxpayer himself and audit by the tax authority. This paper mainly studies a taxpayer＇s optimal policy of tax evasion under supervision with self-audit and its related properties, in order to deduce some effective suggestions and theoretical bases to restrain tax evasion. Assuming that only a certain proportion of evaded tax can be discovered when the audit is executed, the authors first formulate a static model with self-audit. This model is divided into two stages. At the first stage, taxpayers declare their taxes, then the tax authority chooses audit objects, based on a known probability, and announces the result; if the taxpayer is chosen, he will enter the second stage, during which he has a chance to pay the evaded tax and the corresponding late fees and then is audited by the tax authority. The authors show the existence and uniqueness of the optimal amount of tax evasion at the first stage and the optimal proportion to self-expose at the second stage. The authors also discuss the related properties of the interior solution, and do elasticity analyses on some parameters. Besides, the authors extend the static model into the corresponding two-period model, and study the existence and uniqueness of the solution of the extended model. Finally, under the assumption that tax evasion can only be discovered with a certain probability when the audit is executed, the authors formulate another static model with self-audit and investigate its properties.     

UNIFORM ALGORITHM FOR TRANSIENT SOLUTIONS OF GENERALIZED QUASI-BIRTH-DEATH PROCESSES

1.IntroductionForstochasticmodels,itisdunculttoanalyzetheirtransientbehavior.EvenforthemostsimplequeuingsystemM/M/1,itisnoteasytocomputeitstransielltqueuelengthdistriblltionwhichinvolvesBesselfunctions.ThuS,approximationsandalgorithmshaveplayedamajorroleinanalyzingthetransieDtaspectsofstochasticmodels.MarkovohioandMarkovprocessesareimportaltoolsforanalyzingandStudyingstochasticmodels.ForabatestateMarkovprocesses)algorithmsfortransientsolutionShavebeentreatedextensivelyintheliterature,e.g.,…