工程设计模型数据库应用系统开发

IFC标准所建立的工程设计模型包含海量的数据信息和复杂的非图形信息,不利于设计者对数据信息的有效查询和管理。通过对IFC模型数据集成机制和EXPRESS数据类型映射规则分析,结合IFC中性文件交换技术和标准数据访问接口原理,以及工程设计模型数据信息的特点,在基于PKPM的CFG图形显示平台上设计和开发了工程模型数据库应用系统。通过对北京某一体育馆IFC格式模型的读取,对该系统所提供的用于模型的读取、查询、创建、二维显示等管理功能进行实际应用。结果表明,该系统有助于提高设计者对基于IFC格式的工程设计模型数据信息的日常维护和管理操作。

基于IFC的电网工程设计信息模型物理存储格式研究

电网工程设计信息模型(Grid Information Model,GIM)是将电网工程相关组成元素数字化,实现信息的高效、准确、全面的应用。统一的GIM文件格式可提高工程参与方之间数据交换效率。本文以IFC文件为格式基础,参考CIM模型电气设备分类方法,设计了实现电网工程信息全生命周期无缝交互的物理文件格式。

工程设计企业BIM模型归档管理探索

随着建筑信息模型(Buuilding Information Modeling,简称BIM)设计在勘察设计行业中不断扩展,在项目的方案比选汇报、初步设计及施工图设计中有了越来越广泛的应用,但BIM模型归档标准及方式依然没有明确的国家标准,以BIM模型为主体的可视化档案管理依然存在盲区。对BIM模型归档格式、元数据收集、三维协同系统分析、模型存档标准化研究及归档平台建设等进行探讨,提出了模型文件内容、建模深度、归档内容标准化等可行性方案,同时针对模型文件体量大的特点,提出了云平台管理、模型轻量化格式归档等思路,为工程设计单位BIM模型档案管理提供借鉴。

《水运工程设计信息模型应用标准》及其在船闸设计中的应用

为提升船闸工程信息模型应用水平,提高信息的利用效率和效益,在《水运工程设计信息模型应用标准》基础上,细化并编制了满足标准要求的船闸工程BIM设计细则,根据应用实践建立了船闸工程BIM设计总体实施流程。以某船闸工程为例,对信息模型的层级组织、模型内容、协同设计、分类编码、模型存储和成果交付等进行了实践,验证了基于标准的实施工作流程的可行性和标准在船闸工程BIM设计的适用性。结果表明,《水运工程设计信息模型应用标准》可以规范船闸工程BIM设计,提升设计成果质量、实现数字化交付和应用,也为船闸工程BIM技术实施和数字孪生建设提供了参考。

工程勘察信息模型在深基坑与隧道相互影响分析中的应用

对于工程地质条件复杂且周边邻近多条隧道的深基坑工程,采用传统勘察设计手段难以满足工程建设需要。本文以重庆中医骨科医院项目深基坑与轨道交通九号线、5A线的相互影响分析为工程案例,依据重庆市地方标准《工程勘察信息模型设计标准》,建立了由地表信息模型、工程地质信息模型、岩土工程设计信息模型三部分组成的模型深度等级为CL300的工程勘察信息模型。该模型将地表情况、地层岩性、拟建物、基坑支挡结构、轨道交通、多条隧道以及市政管线等信息全面、直观地反映出来,为项目支护结构设计、基坑与隧道影响分析与评价提供准确、翔实的勘察资料,解决了传统方法无法准确、直观、全面地反映拟建物与相邻建(构)筑物的相互关系的弱点。同时,将数值模拟和空间分析得出的数据直接用于项目决策,对工程建设中可能出现的风险源提前进行预判,规避建设过程中的设计、施工风险,其建模和应用过程可供工程人员参考。

产品全生命周期信息模型研究

为了建立完整、可重用、高度一致的产品全生命周期信息模型,提出了一种产品全生命周期模型的体系框架。该框架由面向产品生命周期的过程模型、扩展企业资源模型和产品信息模型组成。重点对组成产品生命周期的需求分析阶段、概念设计阶段、工程设计阶段、产品制造阶段及产品支持服务阶段各模型的组成、表达及其各阶段模型的演化过程进行了研究。在此基础上,提出了基于应用层、服务层和数据层的3层信息体系结构的产品全生命周期信息集成框架,支持网络环境中产品数据分布式互操作。

无人机倾斜摄影测量技术在公路勘察设计中的应用研究

传统的工程勘察设计已经逐渐开始由二维转向三维,甚至是多维勘察设计。无人机倾斜摄影测量技术为工程的三维勘察设计提供了一种全新、高效、高精度的技术可能。本文主要对倾斜摄影测量的关键技术、三维实景模型单体化以及三维实景模型与工程设计模型的融合进行研究。

Modeling and Optimization for Scheduling of Chemical Batch Processes

Chemical batch processes have become significant in chemical manufacturing. In these processes, large numbers of chemical products are produced to satisfy human demands in daily life. Recently, economy globalization has resulted, in growing worldwide competitions in tradi.tional chemical .process industry. In order to keep competitive in the global marketplace, each company must optimize its production management and set up a reactive system for market fluctuation. Scheduling is the core of production management in chemical processes. The goal of this paper is to review the recent developments in this challenging area. Classifications of batch scheduling problems and optimization methods are introduced. A comparison of six typical models is shown in a general benchmark example from the literature. Finally, challenges and applications in future research are discussed.

Design of comprehensive test system for detecting overlying strata mining-induced fractures on surface with radon gas

Based on radon gas properties and its existing projects applications, we firstly attempted to apply geo- physical and chemical properties of radon gas in the field of mining engineering, and imported radioac- tive measurement method to detect the development process of the overlying strata mining-induced fractures and their contained water quality in underground coal mining, which not only innovates a more simple-fast-reliable detection method, but also further expands the applications of radon gas detection technology in mining field. A 3D simulation design of comprehensive testing system for detecting strata mining-induced fractures on surface with radon gas (CTSR) was carried out by using a large-scale 3D solid model design software Pro/Engineer (Pro/E), which overcame three main disadvantages of ''static design thought, 2D planar design and heavy workload for remodification design'' on exiting design for mining engineering test systems. Meanwhile, based on the simulation design results of Pro/E software, the sta- bility of the jack-screw pressure bar for the key component in CTSR was checked with a material mechan- ics theory, which provided a reliable basis for materials selection during the latter machining process.

Spatial batch optimal design based on self-learning Gaussian process models for LPCVD processes

Low pressure chemical vapor deposition(LPCVD) is one of the most important processes during semiconductor manufacturing.However,the spatial distribution of internal temperature and extremely few samples makes it hard to build a good-quality model of this batch process.Besides,due to the properties of this process,the reliability of the model must be taken into consideration when optimizing the MVs.In this work,an optimal design strategy based on the self-learning Gaussian process model(GPM) is proposed to control this kind of spatial batch process.The GPM is utilized as the internal model to predict the thicknesses of thin films on all spatial-distributed wafers using the limited data.Unlike the conventional model based design,the uncertainties of predictions provided by GPM are taken into consideration to guide the optimal design of manipulated variables so that the designing can be more prudent Besides,the GPM is also actively enhanced using as little data as possible based on the predictive uncertainties.The effectiveness of the proposed strategy is successfully demonstrated in an LPCVD process.

A method to manage the model base in DSS

How to manage and use models in DSS is a most important subject. Generally, it costs a lot of money and time to develop the model base management system in the development of DSS and most are simple in function or cannot be used efficiently in practice. It is a very effective, applicable, and economical choice to make use of the interfaces of professional computer software to develop a model base management system. This paper presents the method of using MATLAB, a well-known statistics software, as the development platform of a model base management system. The main functional framework of a MATLAB-based model base management system is discussed. Finally, in this paper, its feasible application is illustrated in the field of construction projects.

Measuring Contribution of BIM （Building Information Modeling） to the Construction Sustainability Goals

＂BIM （building information modeling）＂ and ＂sustainability＂ are two frequently used words in construction and academia today. BIM is a design-oriented tool, which generates a virtual three-dimensional model of a project. Sustainability refers to prudent use of earth＇s natural resources, and construction sustainability is the application of this principle to building activities. Societies in general and the construction industry in particular--one of the largest in terms of natural resources consumed and waste produced--place high hopes on BIM and the principles of sustainability to reduce consumption and waste and to increase industry productivity. BIM＇s capabilities and limitations, currently more focused on model creation and energy simulations, are not well understood as they relate to construction sustainability and its goals. No method yet exists to evaluate BIM＇s contribution comprehensively to construction sustainability goals. This study presents a construction sustainability goals contribution matrix for BIM. The matrix indicates that this contribution may be more limited than it is commonly thought.

Structural Design of Fiumara d＇Arte Land Art Works

Fiumara d＇arte is an open-air museum of sculpture and contemporary art. Among the art-works of Fiumara d＇arte, the Pyramid is the last one in order of time. It is a monumental sculpture made of COR-TEN steel, by the artist Mauro Staccioli and it is located on one specific point of the 38th parallel of latitude, on a hill of the northern mountains of Sicily. In this study the architectural and engineering features of land art-works built in this particular plein-air park are examined and discussed. After a general description of Fiumara d＇Arte and its significance in the territory, the case of the Pyramid on the 38th parallel is focalized and a discussion of its architectural, artistic and environmental values is reported. Moreover the structural implications in its design and construction are explained, while the worst effects of external actions are underlined by showing the results of the analysis performed on a finite element model of the whole structure.

Structural reliability analysis and reliability-based design optimization: Recent advances

We review recent research activities on structural reliability analysis,reliability-based design optimization(RBDO) and applications in complex engineering structural design.Several novel uncertainty propagation methods and reliability models,which are the basis of the reliability assessment,are given.In addition,recent developments on reliability evaluation and sensitivity analysis are highlighted as well as implementation strategies for RBDO.

Repair of the radial defect of rabbit with polyester/tricalcium phosphate scaffolds prepared by rapid prototyping technology

Objective： To evaluate the effects of repairing rabbit radial defects with polyester/tricalcium phosphate scaffolds prepared by rapid prototyping technology loaded with bovine bone morphogenetic protein （ bBMP）, and find new carriers for growth factors. Methods： Polyester/tricalcium phosphate scaffolds prepared by rapid prototyping technology loaded with and without bovine BMP were used to repair the 15 mm radial defect in rabbit. Then the results of radiography, histology, scaffolds degrade rates and bone mineral density （BMD） were appraised to examine the effects at the 12th week. Results ： At the 12th week postoperatively, all defects treated with bBMP were radiographically repaired. No radius implanted polyester/tricalcium phosphate scaffolds without bBMP showed radiographic and histological union. At experimental groups, longitudinal alignment of lamellar structure was observed histologically at the 12th week,indicating that remodeling of regenerated bone was complete in different degree. Of the three experimental groups, the bony regeneration and remodeling of callus in poly lactide-co-glycolide/tricalcium phosphate （PLGA/ TCP） group was the best. The BMD values were beyond 70% of normal value at the 12th week while the PLGA/ TCP scaffolds group was the highest, and no abnormalities were observed in the surrounding soft tissue in all groups. Conclusions - Polyester/tricalcium phosphate scaffolds prepared by rapid prototyping technology loaded with bovine BMP can repair a 15 mm radial defect of rabbit. As for the results, the PLGA/TCP scaffold is ideal and better than poly L-lactide-co-D, L-lactide （ PDLLA/TCP ） scaffold, but the ploy L-lactic acid （PLLA/TCP） is not so good for its low degradation rates.

New analytical solution for the analysis and design of permanent magnet thrust bearings

On the basis of the current sheet model, a new analytical solution for permanent magnet （PM） bearings is developed. Compared with analytical methods based on the coupling energy model and the magnetic dipole model, the proposed one is more physically intuitive and convenient for engineering designers. According to the analytical model, the thrust characteristics of a novel PM thrust bearing is studied and verified by finite element analysis （FEA）. In the proposed thrust bearing configuration, the rotor is composed of stacked PM tings with alternative axial magnetization directions, and the stator with alternative radial magnetization directions while copper rings are used to separate adjacent PM rings. A prototype PM thrust bearing with the proposed configuration is designed and fabricated. The performances of the PM thrust beating are experimentally validated. It is shown that the calculation accuracy of the presented analytical solution is satisfying.