Abstract
Decision-support for monitoring is performed using models in order to provide multiple interpretations of the same data set. This results in a space of possible interpretations of structural behaviour. Incremental addition of information for each interpretation modifies this space and helps engineers converge on realistic behaviours. Such experimentation and exploration of data interpretation leads to more rational decision-making in structural maintenance and life-cycle economies.
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References
J.P. Davis and A.M. Vann.: “Monitoring Instrumentation Fault Diagnosis and Data Interpretation” Artificial Intelligence in Engineering (1995) 923–938
P.Kirkegaard and A Rytter.: “Vibration Based Damage Assessment of Civil Engineering Structures using Neural Networks” Proceedings of the 1st Workshop of the European Group for Structural Engineering Application of Artificial Intelligence (EG-SEA-AI) (1994) 90–103
Luisito Brembilla, Marco Lazzari, and Paolo Salvaneschi.: “Neural Associative Memories for Detecting Analogies: an Application to Structural Safety Management” Proceedings of the 2nd Workshop of the European Group for Structural Engineering Application of Artificial Intelligence(EG-SEA-AI) (1995) 93–100
A. Goodier and S. Matthews.: “Knowledge Based System applied to Real-Time Structural Monitoring” Information Processing in Civil and Structural Engineering Design Civil-Comp Press (1996) 263–270
Boi Faltings.: “Reasoning Strategies for Engineering Problems” Knowledge-Based Systems in Civil Engineering, IABSE Colloquium Beijing (1993) 79–87
Randall Davis and Walter Hamscher.: “Exploring Artificial Intelligence: Survey Talks from the National Conferences on Artificial Intelligence” Chapter 8: Model-based Reasoning: Troubleshooting Ed.Howard E. Schrobe (1988) 297–346
George M. Turkiyyah and Steven J. Fenves.: “Knowledge-Based Assistance for Finite-Element Modelling” AI in Civil and Structural Engineering (1996) 23–32
Paolo Salvaneschi, Mauro Cadei, and Maroc Lazzari.: “Applying AI to Structural Safety Monitoring and Evaluation”,AI in Civil and Structural Engineering IEEE Expert, Intelligent Systems and their Applications (1996) 24–34
R.A.P. Sweeney, G. Oommen, and L. Hoat.: “Impact of Site Measurements on the Evaluation of Steel Railway Bridges” IABSE Workshop (1997) 139–147
Daniele Inaudi.: “PhD Thesis Fiber Optic Sensor Network for the Monitoring of Civil Engineering Structures” (1997)
S.Vurpillot, D. Inaudi, and A. Scano.: “Mathematical model for the determination of the vertical displacement from internal horizontal measurements of a bridge” Smart Structures and Materials SPIE Vol. 2719-05 (1996)
Ian F.C. Smith.: “Abductive Engineering Support” ICCCBE VII, Korea (1997)
Markus Stolze.: “Visual critiquing in domain oriented design environments; showing the right thing at the right place” Artificial Intelligence in Design '94 Kluwer Academic Publishers (1994) 467–482
Ruth Stalker and Ian Smith.: “Structural Monitoring Support through Augmented Reality” International Meeting on Artificial Intelligence in Structural Engineering Centro Stefano Franscini, Monte Verita Ascona (1998)
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© 1998 Springer-Verlag Berlin Heidelberg
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Stalker, R., Smith, I. (1998). Structural monitoring: Decision-support through multiple data interpretations. In: Smith, I. (eds) Artificial Intelligence in Structural Engineering. Lecture Notes in Computer Science, vol 1454. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0030477
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DOI: https://doi.org/10.1007/BFb0030477
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