Neural networks applied to service life prediction of exterior painted surfaces

Service life prediction is assuming a primary role as it allows a more rational use of scarce resources; its methods are useful for defining preventive maintenance plans, thereby increasing performance and reducing costs. A new mathematical model is presented that uses artificial neural networks to...

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Veröffentlicht in:	Building research and information : the international journal of research, development and demonstration development and demonstration, 2014-05, Vol.42 (3), p.371-380
Hauptverfasser:	Dias, J. L., Silva, A., Chai, C., Gaspar, P. L., de Brito, J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences artificial neural networks Biodegradation Building construction Building failures (cracks, physical changes, etc.) Buildings Buildings. Public works Computation methods. Tables. Charts Decisions Degradation durability Durability. Pathology. Repairing. Maintenance Exact sciences and technology External envelopes Facades Maintenance Materials Mathematical models Neural networks Painted painted surfaces Paints Paints and renderings. Protection products Parameter estimation Perception Preventive maintenance Service life service life prediction Structural analysis. Stresses time Wall. Partition weathering
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