The critical damage state controlling the tension-tension fatigue life of unidirectional fibre composites
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DOI: 10.1016/j.compscitech.2018.11.044
Abstract: Abstract A fracture mechanics model is proposed for the prediction of the critical damage state corresponding to tension-tension fatigue failure of unidirectional fibre composites. The critical damage state is characterized by the development of longitudinal… read more here.
Keywords: damage state; damage; fibre composites; tension ... See more keywords
Approaches to the rapid seismic damage prediction of r/c buildings using artificial neural networks
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DOI: 10.1016/j.engstruct.2018.03.028
Abstract: Abstract The present paper deals with the investigation of the ability of Artificial Neural Networks (ANN) to reliably predict the r/c buildings’ seismic damage state. In this investigation, the problem was formulated as a problem… read more here.
Keywords: neural networks; seismic damage; approaches rapid; damage state ... See more keywords
Rapid seismic damage evaluation of bridge portfolios using machine learning techniques
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DOI: 10.1016/j.engstruct.2019.109785
Abstract: Abstract The damage state of a bridge has significant implications on the post-earthquake emergency traffic and recovery operations and is critical to identify the post-earthquake damage states without much delay. Currently, the damage states are… read more here.
Keywords: methodology; machine learning; bridge; damage state ... See more keywords