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Applying quantitative constraint satisfaction in preliminary design

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Artificial Intelligence in Structural Engineering

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

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Abstract

This paper describes a Decision Support System for supporting bridge designers in the early stages of foundation design. The system has been developed using information acquired from practising bridge engineers, geotechnical engineers and estimators. The system is limited to the design of abutments, spread and piled foundations for small to medium span road bridges.

The design of piled foundations is conducted with the support of recognised pile design software. The spread foundation and abutment design has been developed in two stages, initially using the Strategy Detection Algorithm (SDA) and further to that the Graphically Assisted Constraint Satisfaction Method. The transition between the stages was instigated by evaluating the prototype in industry. Both methods and the evaluation are briefly described.

The system is developed in Visual C++, following an object based representation and utilising a Windows style interface.

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References

  1. Brown, D. and Chandrasekaran, B.: Investigating Routine Problem Solving. In: Tong, C. and Sriram, D. (Ed.): Artificial Intelligence in Engineering Design Volume 1 — Design Representation and Models of Routine Design, Academic Press Inc, (1992) pp. 221–250

    Google Scholar 

  2. Bullock, F.: Bullock per comm., Discussion of Bridge Estimating Practices (1994)

    Google Scholar 

  3. Cadogan, J.V.: Integrated Exploratory Process of Design (1998)

    Google Scholar 

  4. Cadogan, J.V., Miles, J.C. and Moore, C.J.: Comp. Support for the Design and Costing of Bridge Foundations. In: Kumar, B. (Ed): Information. Proc. in Civil & Struct. Eng. Design, Civil Comp Press (1996) pp 113–120

    Google Scholar 

  5. Gero, J.S., Kumar. B,: Expanding Design Spaces Through New Design Variables. Design Studies, Vol. 14, No. 2, April (1993) pp. 210–221

    Google Scholar 

  6. Kumar, B.: Knowledge Processing for Structural Design. Computational Mechanics Publication (1995)

    Google Scholar 

  7. Kumar, B. and Topping, B.H.V.: Non-Monotonic Reasoning in Structural Design. In: Civil Engineering Systems. Vol. 7, No. 4, Dec (1990), pp. 209–218

    Google Scholar 

  8. MacCallum, K.J.: Creative Ship Design by Computer. In: Rogers, D.F., Nehrling, B.C. and Kuo, C. (Ed.): Computer Applications in the Automation of Shipyard Operation and Ship Design, North-Holland Publishing Company, Volume 9, (1982) pp. 55–62

    Google Scholar 

  9. MacCallum, K.J. and Duffy, A.: An Expert System for Preliminary Numerical Design Modelling. Design Studies, Vol. 8, No.4, October (1987), pp231–237

    Google Scholar 

  10. Miles, J.C. and Moore, C.J.: Practical Knowledge Based Systems for Conceptual Design. Springer Verlag. ISBN 3-540-19823-7. (1994) pp 243

    Google Scholar 

  11. Moore, C.J. and Miles, J.C.: Integrated Computer Systems for Decision Support in Bridge Design. In: Sharpe, J. (Ed): AI System Support for Conceptual Design. Springer Verlag. London, (1995) pp 227–240

    Google Scholar 

  12. Price, G.E., Moore, C.J. and Miles, J.C.: A Decision Support System for Conceptual Bridge Design. In: Topping, B.H.V. (Ed): Developments in CAD and Modelling for Struct. Eng. Civil Comp Press. ISBN 09487 49 33 (1995) pp 53–58

    Google Scholar 

  13. Rees, D.G.: A Non-Prescriptive Intelligent Design System. Ph.D. Thesis presented to the University of Wales, College of Cardiff, February (1996)

    Google Scholar 

  14. Rees, D.G., Miles, J.C. and Moore, C.J.: A 2nd Generation KBS for the Conceptual Design of Bridges. In: Topping, B.H.V. (Ed): Developments in CAD and Modelling for Struct. Eng. Civil Comp Press. ISBN 09487 49 33, (1995) pp 17–24

    Google Scholar 

  15. Serrano, D. and Gossard, D.: Tools and Techniques for Conceptual Design. In: Tong, C. and Sriram, D. (Ed.): Artificial Intelligence in Engineering Design Volume 1 — Design Representation and Models of Routine Design, Academic Press Inc, (1992) pp. 71–116

    Google Scholar 

  16. Tong, C. and Sriram, D.: Chapter 1 — Introduction. In: Tong C and Sriram D (Ed.): Artificial Intelligence in Engineering Design Volume 1 — Design Representation and Models of Routine Design, Academic Press Inc, (1992) pp. 1–53

    Google Scholar 

  17. Waldron, M.B., Waldron, K.J. and Owen, D. H.: Use of Systematic Theory to Represent the Conceptual Mechanical Design Process. In: Newsome, S.L., Spillers, W.R. and Finger, S. (Ed.): Design Theory '88, Proceedings of the 1988 NSF Grantee Workshop on Design Theory and Methodology, Springer-Verlag, (1989) pp. 36–48

    Google Scholar 

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Ian Smith

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© 1998 Springer-Verlag Berlin Heidelberg

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Moore, C.J., Miles, J.C., Cadogan, J.V. (1998). Applying quantitative constraint satisfaction in preliminary design. In: Smith, I. (eds) Artificial Intelligence in Structural Engineering. Lecture Notes in Computer Science, vol 1454. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0030455

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  • DOI: https://doi.org/10.1007/BFb0030455

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64806-2

  • Online ISBN: 978-3-540-68593-7

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