Skip to main content

Knowledge-based assistants in collaborative engineering

  • Chapter
  • First Online:
Artificial Intelligence in Structural Engineering

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1454))

Abstract

Collaborative engineering requires the exchange and use of design information in a multidisciplinary team with time and space separations among the designers over the course of the design process. A challenge to effective collaboration is the delivery of existing knowledge to the time and place required. Upstream communication is necessary when participants later in the sequence, such as the construction team, possess information needed by those earlier in the sequence, such as the design team. For separate entities sequentially performing design and construction, knowledge-based assistants can provide such essential information as relative costs of construction choices when the construction partner is not yet identified. For a single entity team performing design-build, knowledge-based assistants can provide consistent and thorough implementation of design choices considering cross-disciplinary and construction issues. Steel building design/fabrication/ construction serves as an example to provide specific context for discussion of the use of knowledge-based assistants with emphasis on upstream communication of design information. Cost savings are used to measure the value of such knowledge-based assistants. Knowledge-based assistants encapsulating cross-disciplinary knowledge can also be used to assist in design situations encountered on a semi-regular basis by a design organization but infrequently by an individual designer. Cases and rules in combination can give designers guidance based on pooled organization experience. Such use of knowledge-based assistants is briefly illustrated for 1) steel bridge fabrication error resolution and 2) repair of fatigue damage found for in-service bridges.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • ASCE. (1990). Quality in the Constructed Project; A Guide for Owners, Designers and Contractors, American Society of Civil Engineers, New York, NY.

    Google Scholar 

  • Crowley, A. J. (1997). "The CIMsteel Project: Homepage,” www.leeds.ac.uk/civil/research/cae/cicmsteel/cimsteel.htm, 23 April 1997.

    Google Scholar 

  • Ernst, J. and Roddis, W. M. K. (1994). “Checking of CAD Drawings for Fabrication Issues,” Analysis and Computation Proceedings, Eleventh Conference, ASCE, 248–253.

    Google Scholar 

  • Fischer, M. A. (1991). Constructability Input to Preliminary Design of Reinforced Concrete Structures, 64, Center for Integrated Facility Engineering (CIFE), Civil Engineering, Stanford University.

    Google Scholar 

  • Fischer, M. A. (1993). “Linking CAD and expert systems for constructability reasoning.” Proceedings of the 5th International Conference on Computing in Civil and Building Engineering-V-ICCBE, Anaheim, CA, 1563–1570.

    Google Scholar 

  • Fischer, M., Froese, T., and Phan, D. (1994). “How do integration and data models add value to a project?” 1st Congress on Computing in Civil Engineering, Washington, DC, 992–997.

    Google Scholar 

  • Genesereth, M. R., and Ketchpel, S. P. (1994). “Software agents.” Communications of the ACM, 37(7),48–53.

    Google Scholar 

  • Hannus, M. (1996). “RATAS-IT in Finnish Construction,” www.vtt.fi/cic/ratas/index.htmi, 16 May 1996.

    Google Scholar 

  • Maher, M. L., and Fenves, S. J. (1985), HI-RISE: Knowledge-based expert system for the preliminary structural design of high rise buildings, in J. S. Gero (ed.), Knowledge Engineering in Computer-Aided Design, North Holland, Amsterdam.

    Google Scholar 

  • Melhem, H. G., Roddis, W. M. K., Nagaraja, S., and Hess, M. R. (1996). “Knowledge acquisition and engineering for a steel bridge fabrication expert system.” Journal of Computing in Civil Engineering, ASCE, 10(3), 248–256.

    Google Scholar 

  • Moore, D., and Tunnicliffe, A. (1994). “An Automated Design Aid (ADA) for constructability.” 1st Congress on Computing in Civil Engineering, Washington, DC, 1584–1591.

    Google Scholar 

  • Morse, D. V., and Hendrickson, C. (1991). “Model for communication in automated interactive engineering design.” Journal of Computing in Civil Engineering, 5(1), 4–24.

    Google Scholar 

  • Novetski, B. J. (1996). “Computer integrated design: the real payoff.” A/E/C Systems Computer Solutions, 5(6), 35–39.

    Google Scholar 

  • Pasley, G. P. (1996). SteelTeam — Creating a Collaborative Design Environment for the Steel Building Industry, Doctoral Dissertation, Department of Civil and Environmental Engineering, University of Kansas.

    Google Scholar 

  • Ricker, D. T. (1992). “Value Engineering and Steel Economy.” Modern Steel Construction, 22–26.

    Google Scholar 

  • Roddis, W. M. K., and Hess, M. R. (1997). “Case-based approach for steel bridge fabrication errors.” Journal of Computing in Civil Engineering, ASCE, 11(2), 84–91.

    Google Scholar 

  • Roddis, W. M. K., and Martin, J. L. (1992). “Qualitative Reasoning about Steel Bridge Fatigue and Fracture,” IEEE Expert, IEEE Computer Society, 7(4), 41–48.

    Google Scholar 

  • Tizani, W. M. K., Nethercot, D. A., and Smith, N. J. (1995). “Decision support for the fabrication-led design of tubular trusses.” International Association for Bridge and Structural Engineering, Bergamo, Italy, 117–120.

    Google Scholar 

  • Thornton, W. A. (1995). “Connections: Art, Science and Information in the Quest for Economy and Safety.” National Steel Construction Conference, San Antonio, Texas, 1-1 1–22.

    Google Scholar 

  • Werkman, K. J., and Hillman, D. J. (1989). “Designer fabricator interpreter system: sharing perspectives between cooperating agents to evaluate alternate connection configurations.” Workshop on Distributed Artificial Intelligence, Eastsound, Washington, 95–110.

    Google Scholar 

  • Winstanley, G., Chacon, M. A., and Levitt, R. E. (1993). “An integrated project planning environment.” Intelligent Systems Engineering, 2(2), 91–106.

    Google Scholar 

  • Zimmerman, W. (1995). “Steel Erection Awareness: An Erector's View.” National Steel Construction Conference, San Antonio, Texas, 38-1 38-6.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Ian Smith

Rights and permissions

Reprints and permissions

Copyright information

© 1998 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Kim Roddis, W.M. (1998). Knowledge-based assistants in collaborative engineering. In: Smith, I. (eds) Artificial Intelligence in Structural Engineering. Lecture Notes in Computer Science, vol 1454. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0030460

Download citation

  • DOI: https://doi.org/10.1007/BFb0030460

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64806-2

  • Online ISBN: 978-3-540-68593-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics