Multiobjective structural damage identification in uncertain environments
Evolutionary algorithms are suitable to solve damage identification problems in a multiobjective context. However, the performance of these methods can deteriorate quickly with increasing noise intensities originating numerous uncertainties. In this paper, a statistic structural damage detection met...
Main Authors: | Ruiz A., Perera R., Sevillano E. |
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Format: | Article |
Language: | English |
Published: |
EDP Sciences
2012-07-01
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Series: | MATEC Web of Conferences |
Online Access: | http://dx.doi.org/10.1051/matecconf/20120101006 |
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