Artificial intelligence in structural engineering : information technology for design, collaboration, maintenance, and monitoring
著者
書誌事項
Artificial intelligence in structural engineering : information technology for design, collaboration, maintenance, and monitoring
(Lecture notes in computer science, 1454 . Lecture notes in artificial intelligence)
Springer, c1998
大学図書館所蔵 全39件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references and index
内容説明・目次
内容説明
This book presents the state of the art of artificial intelligence techniques applied to structural engineering. The 28 revised full papers by leading scientists were solicited for presentation at a meeting held in Ascona, Switzerland, in July 1998.
The recent advances in information technology, in particular decreasing hardware cost, Internet communication, faster computation, increased bandwidth, etc., allow for the application of new AI techniques to structural engineering. The papers presented deal with new aspects of information technology support for the design, analysis, monitoring, control and diagnosis of various structural engineering systems.
目次
Structural monitoring of civil structures using vibration measurement Current practice and future.- Object-oriented software patterns for engineering design standards processing.- Design and verification of real-time systems.- Using knowledge nodes for knowledge discovery and collaboration.- Heating system design support.- Collaborative desktop engineering.- Towards personalized structural engineering tools.- Complex systems: Why do they need to evolve and how can evolution be supported.- Formalizing product model transformations: Case examples and applications.- Internet-based web-mediated collaborative design and learning environment.- Wearable computers for field inspectors: Delivering data and knowledge-based support in the field.- Conceptual designing as a sequence of situated acts.- Some personal experience in computer aided engineering research.- Knowledge discovery from multimedia case libraries.- Customisable knowledge bases for conceptual design.- Articulate design of free-form structures.- Applying quantitative constraint satisfaction in preliminary design.- Agents in computer-assisted collaborative design.- A collaborative negotiation methodology for large scale civil engineering and architectural projects.- An investigation into the integration of neural networks with the structured genetic algorithm to aid conceptual design.- Finding the right model for bridge diagnosis.- Knowledge-based assistants in collaborative engineering.- CAD modelling in multidisciplinary design domains.- A family of software components to deliver solutions for the interpretation of monitoring data.- AI methods in concurrent engineering.- A new collaborative design environment for engineers and architects.- Intelligent structures: A new direction in structural control.- Integration of expert systems in a structural design office.- Teaching knowledge engineering: Experiences.- Design support for viaducts.- Converting function into object.- Software agent techniques in design.- Case-based design process facilitating collaboration and information evolution.- Shared experiences: Management of experiential knowledge in the building industry.- Dam safety: Improving management.- Integrating virtual reality and telepresence to remotely monitor construction sites: A ViRTUE project.- Proposal for 4.5 dimensional design via product models and expert system.- A product information system based on dynamic classification.- Structural monitoring: Decision-support through multiple data interpretations.- Augmented reality applications to structural monitoring.- Analysis and design of the as-built model.- On theoretical backgrounds of CAD.
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