有限水深慢船理论及波阻计算

本文推广E.Baba的无限水深慢船理论,建立了有限水深慢船理论.基于低速与量级假定,将总速度势Φ分为合模势(?)_r和波动势(?),分别给出了各自的表达式,进而推导了有限水深兴波的波高、波阻公式.编制了波阻计算程序,并以半浸圆球为例进行验算,计算了Series 60船型在8种水深时的波阻.理论分析和数值计算表明:当水深趋于无穷时,本理论与Baba理论是一致的.     

顶板裂隙水对锚索支护巷道稳定性的影响研究

巷道顶板岩层裂隙水对岩石具有软化、泥化和膨胀变形作用,影响巷道围岩的稳定性.本文采用快速拉格朗日元程序计算分析了岩层裂隙水软化岩石和降低锚杆/锚索锚固力对巷道稳定性的影响.研究得出对砂质泥岩顶板在未受采动影响,且含水率小于1%时裂隙水对围岩稳定性影响不大.图5,表5,参7.     

Study of Multistage Project Risk Identification-Assessment Process Based on Objective Orientation

Risk management of projects is about the real time ev aluation and making of decisions proactively in order to maximize the probabilit y of achieving or surpassing the targets set for project objectives. Project objective generally includes three elements: time, cost, quality. Risk occurrin g in the projects will affect these three factors to some various degrees in the end. There are different emphases in each stage and integrated balanced goals b etween the three factors. A large complex engineering ...     

论工程管理学科方向的学术研究

建筑科学、经济科学和管理科学相互交叉并以管理科学的为内核，形成工程管理的学科方向，学科建设应以学术研究为根本，带动学术梯队建设，专业建设和研究生培养，指出工程管理应开展学术研究的一些问题。     

水电工程规划设计方案的自动生成及评价

本文介绍了在水电工程规划设计时，如何利用三次自然样条插值函数在有限个方案的基础上自动生成无限多个方案，然后采用多目标综合决策模型在其中选择最优方案的一种方法．文中还给出了程序流程，并以某水电站正常蓄水位选择作为实例，对方法进行了验证，结果与专家决策完全吻合．     

浅析水泥稳定土应用于公路工程的特点

综合论述了水泥稳定土的定义及其强度形成的原理,从理论上分析了水泥稳定土的特点以及所用各种原材料对其强度形成及施工过程的影响。     

逆境生物学研究如何为发展我国旱地农业服务

根据我国半干旱地区农业的特点，提出了该地区农业发展中存在的问题，并给出了解决的途径及建议。     

马房沟提水工程首部引水枢纽优化设计

为使工程布置和建筑物设计更趋经济实用、安全合理，文章从引水工程布局、运行调度、工程投资、管理维护等方面对马房沟提水工程首部引水枢纽的设计方案进行了优化比选。     

2003版建筑给排水规范学习与设计体会

就新规范中住宅给水管管径、引入管阀门设置、水箱进水管和溢水管设置、水箱水位控制、通气管系统设计及地漏的设置等方面谈了作者学习《建筑给水排水设计规范》(GB50015-2003)的体会。     

FROM MANUFACTURING SCHEDULING TO SUPPLY CHAIN COORDINATION：THE CONTROL OF COMPLEXITY AND UNCERTAINTY

With time-based competition and rapid technology advancements, effective manufacturingscheduling and supply chain coordination are critical to quickly respond to changing marketconditions. These problems, however, are difficult in view of inherent complexity and variousuncertainties involved. Based on a series of results by the authors, decomposition and coordination byusing Lagrangian relaxation is identified in this paper as an effective way to control complexity anduncertainty.A manufacturing scheduling problem is first formulated within the job shop context withuncertain order arrivals, processing times, due dates, and part priorities as a separable optimizationproblem. A solution methodology that combines Lagrangian relaxation, stochastic dynamicprogramming, and heuristics is developed. Method improvements to effectively solve large problemsare also highlighted. To extend manufacturing scheduling within a factory to coordinate autonomicmembers across chains of suppliers, a decentralized supply chai