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Machine learning-ba...
Machine learning-based prediction of internal checks in weathered thermally modified timber
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- van Blokland, Joran (author)
- Linnéuniversitetet,Institutionen för skog och träteknik (SOT)
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- Nasir, Vahid (author)
- University of British Columbia, Canada
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- Cool, Julie (author)
- University of British Columbia, Canada
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- Avramidis, Stavros (author)
- University of British Columbia, Canada
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- Adamopoulos, Stergios (author)
- Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Skogens biomaterial och teknologi,Department of Forest Biomaterials and Technology,Swedish University of agricultural sciences, Sweden
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(creator_code:org_t)
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- Elsevier, 2021
- 2021
- English.
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In: Construction and Building Materials. - : Elsevier. - 0950-0618 .- 1879-0526. ; 281
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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https://res.slu.se/i...
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Abstract
Subject headings
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- This study investigated possibilities to predict the presence of internal checks in thermally modified Norway spruce timber after 2.5 years of weathering based on the initial properties of the boards. Machine-learning classification enabled sorting the input parameters based on their relative importance for accurate predictions. The parameters of thermally modified timber with the highest relative importance were annual ring width followed by initial moisture content, density and dynamic stiffness. Whereas after kiln drying these were, density, annual ring width, initial moisture content and acoustic velocity. The results showed that predictions are possible, and an accuracy of 67% was achieved by using annual ring width combined with density and initial moisture content, or acoustic velocity that can be determined after either kiln drying or thermal treatment. (C) 2020 Published by Elsevier Ltd.
Subject headings
- LANTBRUKSVETENSKAPER -- Lantbruksvetenskap, skogsbruk och fiske -- Trävetenskap (hsv//swe)
- AGRICULTURAL SCIENCES -- Agriculture, Forestry and Fisheries -- Wood Science (hsv//eng)
Keyword
- Acoustic velocity
- Decision tree
- Non-destructive testing
- Norway spruce
- Outdoor above-ground exposure
- Timber grading
- Forestry and Wood Technology
- Skog och träteknik
Publication and Content Type
- ref (subject category)
- art (subject category)
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