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Published Articles >> Table of Contents >> Abstract
August 1992 (Vol. 7, No. 4)
pp. 41-48
CRACK: Qualitative Reasoning About Fatigue and Fracture in Steel Bridges
W.M. Kim Roddis
Jeffrey L. Martin
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/64.153463
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| Abstract |
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The consultant reasoning about cracking knowledge (CRACK) system, which uses qualitative reasoning to analyze fatigue and fracture in steel bridges, is described. CRACK's architecture includes three reasoning levels-heuristic, qualitative, and quantitative-linked by a common representation of the bridge's physical structure. CRACK explains a failure by matching a crack progression sequence to the observed facts. The system establishes the type of problem using design critiques, predictive modeling, or failure analysis describes the problem by gathering information on the girder's geometry, service history, material properties, and observed symptoms. It then hypothesizes a cause, qualitatively simulates possible crack progression sequences to guide quantitative analysis, calculates the fracture mechanics to determine critical crack sizes and fatigue lives, and evaluates the hypothesis. Finally it states a conclusion. Several difficulties that arose in developing a simple, theoretically defensible, qualitative model which translates numerical relationships into a correct set of behaviors are discussed.
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 References
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[1] Qualitative Reasoning About Physical Systems, D.G. Bobrow, ed., MIT Press, Cambridge, Mass., 1985.
[2] Readings in Qualitative Reasoning About Physical Systems, Daniel S. Weld and Johan de Kleer, eds., Morgan Kaufmann, San Mateo, Calif., 1990.
[3] J. de Kleer and J.S. Brown, "A Qualitative Physics Based on Confluences,"Artificial Intelligence, Vol. 24, Nos. 1 to 3, 1984, pp. 7-84.
[4] K. Forbus, "Qualitative Process Theory," Tech. Report MIT-AI-TR-789, Massachusetts Institute of Technology, Cambridge, Mass., 1984.
[5] P. Kuipers, "Qualitative simulation,"Artificial Intell., vol. 29, pp. 289-338, 1986.
[6] W.M. Kim Roddis,Heuristic, Qualitative, and Quantitative Reasoning About Steel Bridge Fatigue and Fracture, doctoral dissertation, Civil Eng. Dept., Massachusetts Inst. of Technology, Cambridge, Mass., 1988.
[7] J.W. Fisher,Fatigue and Fracture in Steel Bridges: Case Studies, John Wiley&Sons, New York, 1984.
[8] K.D. Forbus, "Intelligent Computer-Aided Engineering,"AI Magazine, Vol. 9, No. 3, Fall 1988, pp. 23-36.
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 Additional Information
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Citation:
W.M. Kim Roddis, Jeffrey L. Martin,
"CRACK: Qualitative Reasoning About Fatigue and Fracture in Steel Bridges,"
IEEE Expert: Intelligent Systems and Their Applications,
vol. 07,
no. 4,
pp. 41-48,
Aug.,
1992
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