Hostname: page-component-78c5997874-lj6df Total loading time: 0 Render date: 2024-11-19T11:03:02.101Z Has data issue: false hasContentIssue false
  • English
  • Français

GENCRIT: A tool for knowledge-based critiquing in engineering design

Published online by Cambridge University Press:  27 February 2009

H. Shiva Kumar ,
S. Suresh ,
C. S. Krishnamoorthy ,
Steven J. Fenves  and
S. Rajeev
H. Shiva Kumar
Affiliation:
Department of Civil Engineering, Indian Institute of Technology, Madras 600 036, India
S. Suresh
Affiliation:
Department of Civil Engineering, Indian Institute of Technology, Madras 600 036, India
C. S. Krishnamoorthy
Affiliation:
Department of Civil Engineering, Indian Institute of Technology, Madras 600 036, India
Steven J. Fenves
Affiliation:
Department of Civil and Environmental Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, U.S.A.
S. Rajeev
Affiliation:
Department of Civil Engineering, Indian Institute of Technology, Madras 600 036, India
Get access Rights & Permissions [Opens in a new window]

Abstract

This article poses the notion that it is possible and desirable to formalize and apply design critiques in a specialized framework. It describes GENCRIT, (GENeric CRItiquing Tool), one such framework for design critiquing. The article starts by highlighting the role of critics in the design process. It then goes on to bring out the need for a critic building tool, viz. that of aiding in the rapid development of multiple critics. GENCRIT combines knowledge-based techniques and a multifactor decision making model to develop an integrated approach to evaluation that encompasses a wide range of designs. Critics developed using GENCRIT evaluate candidate designs based on the critiquing knowledge provided by experts, give justifications for the evaluation, and suggest improvements. The working of GENCRIT is illustrated with two examples: a constructibility critic for reinforced concrete buildings and a bridge design critic.

Keywords

Design evaluationCollaborative designDesign critics
Type
Research Article
Information
AI EDAM , Volume 8 , Issue 3 , Summer 1994 , pp. 239 - 259
Copyright
Copyright © Cambridge University Press 1994

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Ahmed, S., Sriram, D., & Logcher, R. (1992). Transaction-management issues in collaborative engineering. J. Comput. Civ. Engrg. 6(1), 85–105.CrossRefGoogle Scholar
Arafat, G.H., Goodman, B., & Arciszewski, T. (1991). RAMZES: A knowledge based system for structural concepts evaluation. Proc. Second Int. Conf. on Application of Artificial Intelligence Techniques to Civil and Structural Engineering, Oxford, England, 121–125.Google Scholar
Boer, D.E. (1987). Selection techniques in methodical design. Proc. Int. Conf. Engineering Design, Boston.Google Scholar
Chandrasekaran, B. (1990). Design problem solving: A task analysis. AI Magazine, Winter, 59–71.Google Scholar
Daru, R., & Vanglis, A. (1986). Design graphics (ADG): Criteria for development and evaluation. CAPE ’86, Copenhagen.Google Scholar
Dong, Z. (1987). Evaluating design alternatives and fuzzy operations. Proc. Int. Conf. Engineering Design, Boston.Google Scholar
Dym, C.L., & Levitt, R.E. (1991). Knowledge-Based Systems in Engineering. New York, McGraw-Hill.Google Scholar
Fenves, S.J. (1989). What is a critic? Unpublished notes, Carnegie Mellon University, Pittsburgh, Pennsylvania.Google Scholar
Fenves, S.J., Flemming, U., Hendrickson, C., Maher, M.L., & Schmitt, G. (1990). Integrated software environment for building design and construction. Comp. Aided Design 22(1), 27–35.CrossRefGoogle Scholar
Fischer, M. (1989). Constructibility expert system for the preliminary design of reinforced concrete structures. Proc. of the 6th Int. Conf. on Computing in Civil Engrg., Atlanta, Georgia.Google Scholar
Garret, J.H. Jr, & Maher, M.L. (1991). Knowledge-based systems in design and planning. J. Comp. Civ. Engrg. 5(1), 1–3.Google Scholar
Ishii, K., Alder, R., & Barkan, P. (1988). Application of design compatibility analysis to simultaneous engineering. AI EDAM 2(1), 53–65.Google Scholar
Krishnamoorthy, C.S., Rajeev, S., Karimulla Raja, S., & Shiva Kumar, H. (1991). A development environment for knowledge-based systems in engineering design. Proc. Second Int. Conf. on Application of Artificial Intelligence Techniques to Civil and Structural Engineering, Oxford, England, 165–174.Google Scholar
Krishnamoorthy, C.S., Shiva Kumar, H., Rajeev, S., & Suresh, S. (1993). A knowledge-based system with generic tools for structural engineering. Struct. Engrg. Rev. 5(2), 121–131.Google Scholar
Maher, M.L. (1987a). Expert systems for structural design. J. Comp. Civ. Engrg. 1(4), 270–283.CrossRefGoogle Scholar
Maher, M.L. (1987b). Engineering design synthesis. AI EDAM 1(3), 207–213.Google Scholar
Miller, E.M. (1990). Implementing computer aided constructibility critics. Thesis submitted to the Department of Civil Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania.Google Scholar
Mittal, S., Dym, C.L., & Morjaria, M. (1986). PRIDE: An expert system for the design of paper handling systems. IEEE Computer 19(7).CrossRefGoogle Scholar
Rehg, J., Elfes, S., Talukdar, S., Woodbury, R., Eisenberger, M., & Edahl, R. (1988). CASE: Computer-aided simultaneous engineering. In Artificial Intelligence in Engineering: Design (Gero, J.S., Ed.), pp. 339–360, Berlin, Springer-Verlag.Google Scholar
Saaty, T.L. (1980). The Analytic Hierarchy Process, New York, McGraw-Hill.Google Scholar
Sriram, D., Logcher, R., Wong, A., & Ahmed, S. (1991). An object oriented framework for collaborative engineering design. In Computer Aided Cooperative Product Development (Sriram, D., Logcher, R., & Fukuda, S., Eds.), pp. 51–92, New York, Springer Verlag.CrossRefGoogle Scholar