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European Journal of Wood and Wood Products
Published in: European Journal of Wood and Wood Products 3/2017

25-05-2016 | Original

Predicting the strength reduction of particleboard subjected to various climatic conditions in Japan using artificial neural networks

Authors: Hideaki Korai, Ken Watanabe

Published in: European Journal of Wood and Wood Products | Issue 3/2017

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Abstract

Particleboard specimens were subjected to various climatic conditions in Japan, and the relationships between climatic factors and internal bond strength (IB) were investigated using multiple regression analysis (MRA) or artificial neural networks (ANN). At low- and middle-temperature sites, the IB predicted using MRA (IBMRA) and ANN (IBANN) decreased linearly with increasing exposure time. In addition, at high-temperature sites, with increasing exposure time, IBMRA decreased linearly, whereas IBANN decreased exponentially. The trend of IBANN was almost identical to that of the measured IB of the specimens subjected to various climatic conditions. Moreover, IBMRA and IBANN for 1-, 3-, and 5-year exposures were predicted using nationwide climatic factors. The minimum IB is zero when the particleboard is deteriorated; however, negative IB was predicted using MRA when the exposure time increased in the high-temperature area. In addition, the IB for 1-year exposure in the low-temperature area near site 1 was higher than the initial IB of 0.833 MPa. MRA is not always valid because of the assumption of linearity. However, negative IB even for 5-year exposure in the high-temperature area and high IB even for 1-year exposure in the low-temperature area were not predicted using ANN. The IB reduction was predicted correctly using ANN, and the correct IB reduction could be mapped.
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Metadata
Title
Predicting the strength reduction of particleboard subjected to various climatic conditions in Japan using artificial neural networks
Authors
Hideaki Korai
Ken Watanabe
Publication date
25-05-2016
Publisher
Springer Berlin Heidelberg
Published in
European Journal of Wood and Wood Products / Issue 3/2017
Print ISSN: 0018-3768
Electronic ISSN: 1436-736X
DOI
https://doi.org/10.1007/s00107-016-1056-8

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