大跨度大扭矩梁式转换层施工

ＴＲＡＮＳＦＥＲＥＤＳＴＯＲＥＹＣＯＮＳＴＲＵＣＴＩＯＮＯＦＡＢＩＧＳＰＡＮＡＮＤＨＥＡＶＹＭＯＭＥＮＴＴＷＩＳＴＥＤＢＥＡＭＢＵＩＬＤＩＮＧＤＩＮＧＹｏｎｇＬＩＱｉａｎＧＵＺｈｏｎｇｗｅｎ丁勇，浙江省第四建筑工程公司技术管理处，３１０１４，杭州收稿...     

砖混结构外保温复合夹心墙体节能住宅施工方法

ＣＯＮＳＴＲＵＣＴＩＯＮＭＥＴＨＯＤＯＦＥＮＥＲＧＹ－ＳＡＶＩＮＧＲＥＳＩＤＥＮＴＩＡＬＨＯＵＳＥＳＢＵＩＬＴＯＦＣＯＭＰＯＳＩＴＥＢＲＩＣＫ－ＣＯＮＣＲＥＴＥＳＴＲＵＣＴＵＲＥＳＷＩＴＨＣＯＭＰＯＳＩＴＥＨＥＡＴ－ＲＥＴＡＩＮＩＮＧＳＡＮＤＷＩＣＨ...     

PDM在CIMS中的应用

本文分析了当前ＣＡＤ／ＣＡＭ及ＣＩＭＳ技术的发展和应用，阐述了ＰＤＭ在ＣＩＭＳ中的重要性，并且就ＰＤＭ的定义，功能及应用和发展情况作了论述。     

CAAD教学的尝试

ＣＡＡＤ教学的尝试谢振宇近年来，计算机辅助建筑设计（ＣＯＭＰＵＴＥＲＡＩＤＥＤＡＲＣＨＩＴＥＣＴＵＲＡＩ－ＤＥＳＩＧＮ，简称ＣＡＡＤ）在应用领域有了突破性的发展。尤其是图形技术的开发、软件应用，给传统的建筑设计带来了计算与绘画、表现与模拟、思考与交流...     

结构机理学（10）──特种结构（上）

结构机理学（１０）──特种结构（上）丁大钧（东南大学２１００１８）ＭＥＣＨＡＮＩＳＭＯＬＯＧＹＯＦＳＴＲＵＣＴＵＲＥＳ（１０）——ＳＰＥＣＩＡＬＳＴＲＵＣＴＵＲＥＳ（Ｉ）￥ＤｉｎｇＤａｊｕｎ（ＳｏｕｔｈｅａｓｔＵｎｉｒｅｒｓｉｔｙ２１００１８）１０．...     

首都国际机场新航站楼圆柱模的工艺设计

ＴＥＣＨＮＯＬＯＧＹＤＥＳＩＧＮＯＦＲＯＵＮＤＣＯＬＵＭＮ＇ＳＦＯＲＭＷＯＲＫＦＯＲＴＨＥＮＥＷＡＶＩＡＴＩＯＮＢＵＩＬＤＩＮＧＰＲＯＪＥＣＴＯＦＣＡＰＩＴＡＬＩＮＴＥＲＮＡＴＩＯＮＡＬＡＩＲＰＯＲＴＹＡＮＺｈｉｗｕ首都国际机场新航站楼工程共有混凝土...     

欧洲规范4钢－混凝土组合梁设计方法（1）──设计基础和材料性能

欧洲规范４钢－混凝土组合梁设计方法（１）──设计基础和材料性能胡夏闽（南京建筑工程学院２１０００９）ＤＥＳＩＧＮＭＥＴＨＯＤＯＦＥＵＲＯＣＯＤＥ４ＦＯＲＳＴＥＥＬ－ＣＯＮＣＲＥＴＥＣＯＭＰＯＳＩＴＥＢＥＡＭＳ（１）──ＢＡＳＩＳＯＦＤＥＳＩＧＮＡＮＤ...     

美国空调系统设计运行问题略析

美国空调系统设计运行问题略析扬州工学院暖通教研室季良俊ＣＯＭＭＥＮＴＯＮＳＯＭＥＰＲＯＢＬＥＭＳＩＮＡＩＲＣＯＮＤＩＴＩＯＮＩＮＧＤＥＳＩＧＮＡＮＤＯＰＥＲＡＴＩＯＮＩＮＵ．Ｓ．￥ＢｙＪｉＬｉａｎｇｊｕｎ笔者曾经参加了设在美国亚利桑那州的能量分析与诊...     

混凝土胀模原因分析及防治措施

混凝土胀模原因分析及防治措施毛林繁ＣＡＵＳＥＳＡＮＡＬＹＳＩＳＡＮＤＰＲＥＶＥＮＴＩＯＮＭＥＡＳＵＲＥＳＯＦＥＸＰＡＮＳＩＯＮＯＦＣＯＮＣＲＥＴＥＦＯＲＭＷＯＲＫＭＡＯＬｉｎｆａｎ混凝土胀模现象，会造成构件尺寸增大、外形不规整，严重者需进行剔凿，影响...     

板坯含水率对多异氰酸酯胶合的硬质纤维板物理性能的影响

本文报道了关于板坯含水率（ＭＭＣ）（８％，１５％和２２％）对用３％的二苯甲烷二异氰酸酯胶粘剂（ＭＤＩ）胶合的硬质纤维板物理性能的影响，与ＭＭＣ７％施用３％和１０％的ＰＦ胶合的硬质纤维板进行了比较。检测的物理性能是：吸水性（ＷＡ），厚度膨胀率（ＴＳ），及水浸后２４小时的线性膨胀率（ＬＥ），重量变化（ＷＣ），ＴＳ及两小时后的ＬＥ。ＡＳＴＭＤ－１０３７六循环加速老化处理（ＡＡＴ）。ＭＭＣ明显地影响了ＷＡ，ＴＳ（ＭＭＣ８％和１５％之间）及水浸后ＭＤＩ胶合的硬质纤维板的ＬＥ（ＭＭＣ１５％和２２％之间）水浸性能最佳的板坯含水率为１５％，ＭＭＣ没有明显影响ＭＤＩ胶合的硬质纤维板的ＴＳ和ＬＥ，和ＡＡＴ的六循环一样的影响。但是ＭＭＣ的确对两循环ＡＡＴ及四循环ＡＡＴ暴露具有某些明显作用，但最终六循环ＡＡＴ后无显著差异。用ＭＤＩ胶合的试件性能好于用ＰＦ胶合的试件（３％和Ｎ％ＰＦ胶粘剂），ＭＤＩ超过ＰＦ的因ＡＡＴ的３％ＰＦＴＳ，而ＭＤＩ能比得上１０％ＰＦ胶合的试件。     

黄石市板岩山危岩体防治方案决策分析

 在黄石市板岩山危岩体勘察结果及形成机理认识基础上, 应用作者开发的病害边坡治理方案选择智能辅助决策系统IADM SCCPU S 优化了防治方案。     

深挖路堑边坡设计方案的灰色优选

目前，对山区高等级公路深挖路堑边坡设计时，设计方案的比选多用经验或直觉判断的方法，常导致决策或方案的不合理甚至失误而造成重大损失。本文应用灰色理论中灰关联分析法，对设计方案进行优选。这在确定方案、避免或减少设计的失误上有较大的现实意义。     

信息熵模糊层次分析在桥梁方案比选中的应用

针对桥梁方案比选过程,综合应用信息论、模糊物元和层次分析理论,建立了桥梁方案比选的信息熵模糊层次分析模型,有效地解决了众多模糊性和不确定性因素影响的桥梁方案的多目标优化决策问题,为合理选择桥型方案提供了一条新的途径。     

ConSERV, a project specific risk management concept

Managing risks in design intensive multi-disciplinary capital projects presents unique problems for decision makers within the project environment. Existing risk management tools, tend to employ axiomatic software and as such do not provide any intelligent risk management capability or lead to better informed decision making processes. ConSERV is being developed as a comprehensive project management methodology able to extract project specific risk issues throughout the project life cycle and apply experiential knowledge by using a knowledge-based system to assist in the management of them. A visual representation of the project risks is obtained by employing a more practical non probabilistic approach. ConSERV will provide project managers with on line decision support, at key stages of the project to assist in the management and control of the project specific risks identified.     

深大基坑施工变形的智能控制技术

利用神经网络 (ANN)和模糊控制 (FC)理论 ,采用预测控制的思想 ,建立了一套集基坑施工变形预测和控制于一体的智能化施工控制系统 ,该系统由神经网络预测器和模糊控制器组成。神经网络预测器对基坑变形进行连续滚动的多步预测 ,模糊控制器根据预测结果对施工参数进行决策控制。在MATLAB 5 .2平台支持下 ,研制了相应的基坑变形控制软件系统。实际应用结果表明 ,该智能控制系统对深基坑的安全施工过程具有较好的控制效果 ,真正做到了施工过程的实时、动态、智能化控制。软件系统操作界面简单、直观 ,便于实际工程应用。     

大型复杂工程智能进度计划管理系统设计与实现

以精准建造理论和多层次多阶段进度计划为基本原理,从智能进度计划管理系统的概念入手,分析了该系统的必要性,提出了该系统的基本模块、层次结构、功能结构,并分析了该系统的应用状况;最后从整体角度得出了基于精准建造的智能进度计划管理系统是大型复杂工程项目进度管理的有效方式之一。     

基于范例的基坑支护方案选择决策支持系统

指出基坑支护方案的选择直接关系到工程造价、施工进度以及基坑周边环境安全,针对基坑处理决策中的基坑支护方案选择问题,提出一种基于范例的基坑支护方案选择系统,用以对基坑支护方案选择提供有效的决策支持。     

岩体边坡治理决策的模糊层次分析方法研究

针对岩体边坡治理方案评价是个多目标、多层次的评判及其评价指标的模糊性问题，提出了基于熵权的岩体边坡治理决策的模糊层次分析方法，该方法通过两两指标元素相比较的技术，采用三角模糊数来建立判断矩阵，改善了常规层次分析方法所给出的判断矩阵的不平衡问题。根据水平截集和乐观指标，进行模糊区间运算，从而得出熵权，再根据熵权的大小对岩体边坡治理方案进行评价。对板岩山危岩边坡体的治理方案评估，采用该方法进行了分析。     

Intelligent System for Condition Monitoring of Underground Pipelines

Abstract: Pipeline infrastructure is decaying at an accelerating rate due to reduced funding, insufficient quality control resulting in poor installation, little or no inspection and maintenance, and a general lack of uniformity and improvement in design, construction and operation practices, among other things. Developing an intelligent system can provide fast and reliable decision‐making tools that are needed to handle the large volume of deteriorating buried pipeline infrastructure systems, particularly water and wastewater pipelines, that pose serious threats to environment if they fail. The focus of this article is to develop state‐of‐the‐art concepts and technology for buried pipeline system data acquisition, data interpretation, and utilization of the data for an intelligent renewal of buried infrastructure. Such a system could automate in real time much of the pipeline data acquisition, interpretation, and evaluation process, and capture the experience and judgment of expert utility engineers in performing condition assessment and identification of appropriate rehabilitation and maintenance strategies.     

Construction,application and validation of selection evaluation model (SEM) for intelligent HVAC control system

Design teams are confronted with the quandary of choosing apposite building control systems to suit the needs of particular intelligent building projects, due to the availability of innumerable ‘intelligent’ building products and a dearth of inclusive evaluation tools. This paper is organised to develop a model for facilitating the selection evaluation for intelligent HVAC control systems for commercial intelligent buildings. To achieve these objectives, systematic research activities have been conducted to first develop, test and refine the general conceptual model using consecutive surveys; then, to convert the developed conceptual framework into a practical model; and, finally, to evaluate the effectiveness of the model by means of expert validation. The results of the surveys are that ‘total energy use’ is perceived as the top selection criterion, followed by the ‘system reliability and stability’, ‘operating and maintenance costs’, and ‘control of indoor humidity and temperature’. This research not only presents a systematic and structured approach to evaluate candidate intelligent HVAC control system against the critical selection criteria (CSC), but it also suggests a benchmark for the selection of one control system candidate against another.