Artificial Intelligence in Engineering最新文献_第5页

CAIRO: a concurrent engineering meeting environment for virtual design teams CAIRO:虚拟设计团队的并行工程会议环境

Artificial Intelligence in Engineering Pub Date : 2000-07-01 DOI: 10.1016/S0954-1810(00)00016-9

F Peña-Mora , K Hussein , S Vadhavkar , K Benjamin

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引用次数: 70

SEED-Config: a tool for conceptual structural design in a collaborative building design environment SEED-Config:协作建筑设计环境中概念结构设计的工具

Artificial Intelligence in Engineering Pub Date : 2000-07-01 DOI: 10.1016/S0954-1810(00)00018-2

S.J Fenves , H Rivard , N Gomez

{"title":"SEED-Config: a tool for conceptual structural design in a collaborative building design environment","authors":"S.J Fenves , H Rivard , N Gomez","doi":"10.1016/S0954-1810(00)00018-2","DOIUrl":"10.1016/S0954-1810(00)00018-2","url":null,"abstract":"<div><p>SEED-Config is a design environment intended to assist structural designers in collaboratively exploring and extending the design buildings. Its purpose is to help designers in rapidly synthesizing alternative structural design solutions at the conceptual level to the point where the structural concept is supportive of the overall design and possible conflicts are explored and resolved. The SEED-Config prototype consists of four subsystems. The Design Information Repository is built upon an information model that exploits the hierarchical nature of building descriptions to represent design information. It can save an overall design or parts of a design to a case library, thus supporting case-based reasoning. The Design Knowledge Manager allows for the browsing, editing, selecting and applying of technology nodes which encapsulate structural design knowledge. The Classification Reference Manager allows for the definition, management, inference and querying of classifications which are used to classify and index design solutions as they are generated. The Geometric Modeler reasons about topology and geometry.</p></div>","PeriodicalId":100123,"journal":{"name":"Artificial Intelligence in Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2000-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S0954-1810(00)00018-2","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90710047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 65

Constraint-based support for negotiation in collaborative design 协同设计中基于约束的协商支持

Artificial Intelligence in Engineering Pub Date : 2000-07-01 DOI: 10.1016/S0954-1810(00)00020-0

C Lottaz , I.F.C Smith , Y Robert-Nicoud , B.V Faltings

引用次数: 73

Collaborative and concurrent engineering in the construction industry 建筑行业的协同和并行工程

Artificial Intelligence in Engineering Pub Date : 2000-07-01 DOI: 10.1016/S0954-1810(00)00015-7

C.J Moore

引用次数: 9

Versioning and configuration management in design using CAD and complex wrapped objects 使用CAD和复杂包装对象进行版本控制和配置管理

Artificial Intelligence in Engineering Pub Date : 2000-07-01 DOI: 10.1016/S0954-1810(00)00019-4

J.C Miles , W.A Gray , T.W Carnduff , I Santoyridis , A Faulconbridge

{"title":"Versioning and configuration management in design using CAD and complex wrapped objects","authors":"J.C Miles , W.A Gray , T.W Carnduff , I Santoyridis , A Faulconbridge","doi":"10.1016/S0954-1810(00)00019-4","DOIUrl":"10.1016/S0954-1810(00)00019-4","url":null,"abstract":"<div><p>In concurrent design, there is a need to control the interaction between the participants and also to manage the compatibility of the various components being designed. This requires a carefully defined structure to control the changes and additions to the design of artefacts and a means of allowing all participants to see as much of the design information as possible. For situations where colocation is not possible, this is best achieved through a suitably designed computer system. This paper covers the development of the <span>Describe</span> environment which consists of a CAD system linked to an Object-Oriented Database (OODB) via AutoLISP and a C++ executable. The interaction model within <span>Describe</span> has been developed to be as simple and flexible as possible and is based on fresults from a design experiment. Within the system, design information is stored as complex, wrapped objects which allow the seamless integration of graphical and other design information. The resulting system automatically updates design calculations when dimensions are altered in the CAD system. The system has been developed in conjunction with practising designers and applied to the domain of beam/slab bridges.</p></div>","PeriodicalId":100123,"journal":{"name":"Artificial Intelligence in Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2000-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S0954-1810(00)00019-4","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83941544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 18

Telepresence in concurrent lifecycle design and construction 并发生命周期设计与构建中的网真

Artificial Intelligence in Engineering Pub Date : 2000-07-01 DOI: 10.1016/S0954-1810(00)00017-0

C.J Anumba , A.K Duke

{"title":"Telepresence in concurrent lifecycle design and construction","authors":"C.J Anumba , A.K Duke","doi":"10.1016/S0954-1810(00)00017-0","DOIUrl":"10.1016/S0954-1810(00)00017-0","url":null,"abstract":"<div><p>Construction projects usually involve transient ‘virtual organisations’ made up of members of a project team (involving several disparate disciplines) working together on the design and construction of a facility. Team members are often non-co-located, particularly at the early stages of the design process, and tend to work independently while taking decisions that affect others. The adoption of concurrent engineering principles by the construction industry is increasingly being seen as vital for reducing the problems posed by the industry's fragmentation, and enhancing its competitiveness. An important aspect of concurrent engineering in construction is the need for an effective communications infrastructure able to transmit project information between members of the project team and across all stages in the constructed facility's lifecycle. This paper describes the development of such a communications infrastructure that is based on the concept of Telepresence. The intention is to create a persistent space to support interaction between project personnel throughout the design and construction phases of projects. The paper first highlights the key communications issues that need to be addressed, introduces ‘Telepresence’ and describes an initial prototype system. The approach being adopted in the development of an advanced Telepresence environment for construction project teams is also presented. The Telepresence environment is intended to help people who cannot be together to work together.</p></div>","PeriodicalId":100123,"journal":{"name":"Artificial Intelligence in Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2000-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S0954-1810(00)00017-0","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88707093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 17

Fault diagnosis competitive neural network with prioritized modification rule of connection weights 连接权优先修改规则的故障诊断竞争神经网络

Artificial Intelligence in Engineering Pub Date : 2000-04-01 DOI: 10.1016/S0954-1810(00)00004-2

S. Khanmohammadi, I. Hassanzadeh, H.R. Zarei Poor

引用次数: 8

Rule-based system application for a technical problem in inventory issue 基于规则的系统应用于库存问题中的一个技术问题

Artificial Intelligence in Engineering Pub Date : 2000-04-01 DOI: 10.1016/S0954-1810(00)00003-0

R. Venkatraman , S. Venkatraman

引用次数: 9

A GA-based search method for the tolerance allocation problem 基于遗传算法的公差分配问题搜索方法

Artificial Intelligence in Engineering Pub Date : 2000-04-01 DOI: 10.1016/S0954-1810(00)00006-6

Ta-Cheng Chen , Gary W. Fischer

{"title":"A GA-based search method for the tolerance allocation problem","authors":"Ta-Cheng Chen , Gary W. Fischer","doi":"10.1016/S0954-1810(00)00006-6","DOIUrl":"10.1016/S0954-1810(00)00006-6","url":null,"abstract":"<div><p>This paper considers nonlinearly constrained tolerance allocation problems in which both tolerance and process selection are to be selected simultaneously so as to minimize the manufacturing cost. The tolerance allocation problem has been studied in the literature for decades, usually using mathematical programming or heuristic optimization approaches. The difficulties encountered for both methodologies are the number of constraints and the difficulty of satisfying the constraints. A penalty-guided genetic algorithm is presented for solving such mixed-integer tolerance allocation problems. It can efficiently and effectively search over promising feasible and infeasible regions to find the feasible optimal or near optimal solution. Genetic results are compared with the results obtained from 12 problems from the literature that dominate the previously mentioned solution techniques. Numerical examples indicate that the genetic algorithms perform well for the tolerance allocation problem considered in this paper. In particular, as reported, solutions obtained by genetic algorithms are as well as or better than the previously best-known solutions.</p></div>","PeriodicalId":100123,"journal":{"name":"Artificial Intelligence in Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2000-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S0954-1810(00)00006-6","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77323421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 49

Development of expert systems for stream sampling in mineral processing plants 矿物加工厂溪流取样专家系统的开发

Artificial Intelligence in Engineering Pub Date : 2000-04-01 DOI: 10.1016/S0954-1810(00)00002-9

C Ketata , M.C Rockwell , D Riordan

引用次数: 9