论城市可持续性发展与地下空间利用

本文分析了目前制约我国城市可持续发展的最主要因素是低效率的土地利用方式 ,若使地上、地面、地下空间协调发展 ,合理科学的规划好地下空间 ,珍惜地下空间资源 ,健全地下空间法律法规 ,统一地下空间管理机构 ,则可高效率的利用土地。     

柳沟庄—窟窿山油藏储集层裂缝类型及特征

根据岩心描述、薄片观察、X－CT扫描以及钻井、测井等资料，研究了酒西盆地青西坳陷柳沟庄－窟窿山油藏裂缝性储集层的类型及特征，分析了控制裂缝发育的地质因素及裂缝对油气的控制作用，认为储集层裂缝有3种基本类型，即构造裂缝、构造熔蚀缝和饼状破裂，主要受构造应力场及构造位置等因素的控制。根据裂缝形态、充填特征及其相互关系，裂缝的形成主要有3个期次，其中喜马拉雅运动晚期形成的第三期理解缝对油气运移和聚集最有效。研究结果表明，裂缝是柳沟庄－窟窿山油藏主要的储集空间和控制油气富集的因素。     

武山铜矿主井系统延深改造及效果浅析

武山铜矿主井延深时根据新的采、选工艺要求，在前期工程的基础上，对其箕斗提升系统进行改造，增设坑内破碎。针对该矿特粘的矿石性质和前期工程遗留问题，在具体设计和实施过程中采取特别措施保证系统通畅和安全并注意节省投资。同时对尚存在的问题也提出了新的思考。     

浅析2020年前美军事战略重点的转变--从装备发展看美国军事战略重点可能的变化

美国21世纪前期的军事战略重点将是争夺外空优势，夺取制天权和制信息权。分析了美国夺取外空优势的原因，及其为夺取外空优势在国家政策、航天发展和技术准备等方面采取的措施。     

城市形象的建筑环境美学设计问题

城市形象是创造富于个性化城市的关键,而建筑环境美学设计水准则是体现城市形象的要素之一。据此,作者从分析中国城市形象的美学误区出发,研究了不同城市建筑品位的形成特点,进而提出塑造好宜人城市美学空间的科学思考。     

用于机器人轨迹定位纠正系统的回声状态神经网络研究

循环神经网络(RecurrentNeuralNetworks)是人工神经网络(ArtificialNeuralNetworks)中重要的分支,与前馈神经网络(ForwardNeuralNetworks)相比具有更好的时间序列学习能力。但长期以来其学习法一直不能脱离前馈神经网络而自成一体,回声状态神经网络(EchoStateNetworks(ESN))是打破这一局面的全新学习方法。其独特的结构,良好的短期记忆能力,方便的学习方法,不俗的非线性特性是以前循环神经网络所不可比的。本文在介绍了回声状态神经网络之后将其用于四轮机器人的位置测量系统中,有良好的表现。     

基于地理信息系统的天津房地产管理数据库

从地理信息系统CIS的组成开始．提出该类系统的组织与管理方法，同时重点介绍了在现阶段开发该类系统时所使用的高端技术，最后对GIS系统的发展趋势作出分析与顶测。     

Florida DOT Project-Level Bridge Management Models

The Florida Department of Transportation (FDOT) is in the process of implementing Pontis, a Bridge Management System, to provide decision support to engineers in the headquarters and district offices as they make routine policy, programming, and budgeting decisions regarding the preservation and improvement of the state’s bridges. As part of this effort, an ongoing research program is underway to adapt the system to FDOT needs as well as to advance the state of the art in several areas important to the Department. Most of the research results are organized around a new project-level decision support framework that complements and builds on Pontis’ existing network-level analysis. Specific new models include accident risk and user cost due to roadway width and alignment deficiencies; user cost of load capacity and vertical clearance restrictions, and moveable bridge openings; project-level prediction models for bridge element condition and costs; and prediction of economics of scale and scoping possibilities. The new models are built into a highly graphical spreadsheet model for decision support use.     

Forced Vertical Vibration of Circular Plate in Multilayered Poroelastic Medium

This paper considers the vertical vibrations of an elastic circular plate in a multilayered poroelastic half space. The plate is subjected to axisymmetric time–harmonic vertical loading and its response is governed by the classical thin-plate theory. The contact surface between the plate and the multilayered half space is assumed to be smooth and either fully permeable or impermeable. The half space under consideration consists of a number of layers with different thicknesses and material properties and is governed by Biot’s poroelastodynamic theory. The vertical displacement of the plate is represented by an admissible function containing a set of generalized coordinates. Contact stress and pore pressure jump are established in terms of generalized coordinates through the solution of flexibility equations based on the influence functions corresponding to vertical and pore pressure loading. Solutions for generalized coordinates are obtained by establishing the equation of motion of the plate through the application of Lagrange’s equations of motion. Selected numerical results are presented to portray the influence of various parameters on dynamic interaction between an elastic plate and a multilayered poroelastic half space.     

DESIGN AND IMPLEMENTATION OF STATE OBSERVERS IN REACTIVE DISTILLATION

This study demonstrates that state observers can be developed and applied to infer the composition profiles of reactive distillation columns from noise-contaminated temperature measurements. The design and implementation of a Kalman filter (KF) and a Luenberger observer (LO) are carried out, and their performances are quantitatively assessed. The reliability, accuracy, and robustness of the two designs method are examined and compared quantitatively. The design and implementation of a Luenberger observer are simpler and easier to carry out than those of a Kalman filter. On the other hand, a Kalman filter is found to be more robust to a noisy measurements, erroneous initial estimates, and model uncertainties. A Luenberger observer could be used for composition estimation of reactive distillation when an ideal model of the system can reasonably approximate the real system; otherwise, a Kalman filter is recommended to be applied in more practical situations.