Intelligent Computing in Engineering and Architecture

1. Front Matter

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2. Outcomes of the Joint International Conference on Computing and Decision Making in Civil and Building Engineering, Montreal 2006

   • Ian F. C. Smith

   Pages 1-6

3. Self-aware and Learning Structure

   • Bernard Adam, Ian F. C. Smith

   Pages 7-14

4. Capturing and Representing Construction Project Histories for Estimating and Defect Detection

   • Burcu Akinci, Semiha Kiziltas, Anu Pradhan

   Pages 15-22

5. Case Studies of Intelligent Context-Aware Services Delivery in AEC/FM

   • Chimay Anumba, Zeeshan Aziz

   Pages 23-31

6. Bio-inspiration: Learning Creative Design Principia

   • Tomasz Arciszewski, Joanna Cornell

   Pages 32-53

7. Structural Topology Optimization of Braced Steel Frameworks Using Genetic Programming

   • Robert Baldock, Kristina Shea

   Pages 54-61

8. On the Adoption of Computing and IT by Industry: The Case for Integration in Early Building Design

   • Claude Bédard

   Pages 62-73

9. Versioned Objects as a Basis for Engineering Cooperation

   • Karl E. Beucke

   Pages 74-82

10. The Effects of the Internet on Scientific Publishing – The Case of Construction IT Research

    • Bo-Christer Björk

    Pages 83-91

11. Automated On-site Retrieval of Project Information

    • Ioannis K. Brilakis

    Pages 92-100

12. Intelligent Computing and Sensing for Active Safety on Construction Sites

    • Carlos H. Caldas, Seokho Chi, Jochen Teizer, Jie Gong

    Pages 101-108

13. GENE_ARCH: An Evolution-Based Generative Design System for Sustainable Architecture

    • Luisa Caldas

    Pages 109-118

14. Mission Unaccomplished: Form and Behavior But No Function

    • Mark J. Clayton

    Pages 119-126

15. The Value of Visual 4D Planning in the UK Construction Industry

    • Nashwan Dawood, Sushant Sikka

    Pages 127-135

16. Approximating Phenomenological Space

    • Christian Derix

    Pages 136-146

17. KnowPrice2: Intelligent Cost Estimation for Construction Projects

    • Bernd Domer, Benny Raphael, Sandro Saitta

    Pages 147-152

18. RFID in the Built Environment: Buried Asset Locating Systems

    • Krystyna Dziadak, Bimal Kumar, James Sommerville

    Pages 153-162

19. New Opportunities for IT Research in Construction

    • Chuck Eastman

    Pages 163-174

20. Infrastructure Development in the Knowledge City

    • Tamer E. El-Diraby

    Pages 175-185

Providing computer support for tasks in civil engineering and architecture is hard. Projects can be complex, long and costly. Firms that contribute to design, construction and maintenance are often worth less than the value of their projects. Everyone in the field is justifiably risk adverse. Contextual variables have a strong influence making generalization difficult. The product life cycle may exceed one hundred years and functional requirements may evolve during the service life. It is therefore no wonder that practitioners in this area have been so reluctant to adopt advanced computing systems. After decades of research and industrial pilot projects, advanced computing s- tems are now being recognized by many leading practitioners to be strategically - portant for the future profitability of firms involved in engineering and architecture. Engineers and architects with advanced computing knowledge are hired quickly in the market place. Closer collaboration between research and practice is leading to more comprehensive validation processes for new research ideas. This is feeding devel- ment of more useful systems, thus accelerating progress. These are exciting times. th This volume contains papers that were presented at the 13 Workshop of the Eu- pean Group for Intelligent Computing in Engineering. Over five days, 70 participants from around the world listened to 59 paper presentations in a single session format.

• artificial neural networks
• building construction
• civil engineering
• conceptual modeling
• construction planning
• context-aware services
• data mining
• decision making
• design engineering
• i
• image registration
• information retrieval
• intelligent computing
• complexity

• Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland

  Ian F. C. Smith

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