By James T. P. Yao (auth.), G. A. Keramidas, C. A. Brebbia (eds.)
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Additional info for Computational Methods and Experimental Measurements: Proceedings of the International Conference, Washington D.C., July 1982
Inserted into (6), we obtain then the loss of stiffness y without any further knowledge on the structure or where the crack is situated. In conclusion, it is worth noting that the evaluation 39 of the correlation periods (7) can considerably be improved when the separated processes are shifted to- gether. This procedure is indicated in Fig. 10 by interrupted lines. It can technically be performed by a simple stopping of the correlators in the time ranges where the processes are vanishing. The results of such a manipulation are represented in Fig.
INTRODUCTION Investigation and proof of the dynamic behaviour of complicated elastomechanic systems require system analysis and system identification. System analysis is based on construction drawings and technical data; its result is the predicted dynamic behaviour, which is erroneous because of simplifying assumptions. The prediction errors in general are unknown. If comparable experience is not available, and if a proof of the prediction is needed, tests have to be carried out. Except qualification, acceptance and development tests, the tests under consideration serve to determine the system characteristics which describe the dynamic behaviour.
Yao, J. , and Sozen, M. S. National Congress of Applied Mechanics, Cornell University, Ithaca, NY. , (1965) "Fuzzy Sets," Information and Control, v . • 8, pp. 338-353. Zadeh, L. , (1973), "Outline of a New Approach to the Analysis of Complex Systems and Decision Processes," IEEE Transactions on Systems, Man and Cybernetics, v. SHC-3, n. 1, pp. 2844. , Fu, K. , (1975) Fuzzy Sets and Their Application Cognitive and Decision Pro~· Academic Press. G. Curt-Risch-Institut, Universitat Hannover D-3000 Hannover 1 1.
Computational Methods and Experimental Measurements: Proceedings of the International Conference, Washington D.C., July 1982 by James T. P. Yao (auth.), G. A. Keramidas, C. A. Brebbia (eds.)