ParadisAutyCarterEtAl2013

Référence

Paradis, N., Auty, D., Carter, P., Achim, A. (2013) Using a standing-tree acoustic tool to identify forest stands for the production of mechanically-graded lumber. Sensors, 13(3):3394-3408. (Scopus )

Résumé

This study investigates how the use of a Hitman ST300 acoustic sensor can help identify the best forest stands to be used as supply sources for the production of Machine Stress-Rated (MSR) lumber. Using two piezoelectric sensors, the ST300 measures the velocity of a mechanical wave induced in a standing tree. Measurements were made on 333 black spruce (Picea mariana (Mill.) BSP) trees from the North Shore region, Quebec (Canada) selected across a range of locations and along a chronosequence of elapsed time since the last fire (TSF). Logs were cut from a subsample of 39 trees, and sawn into 77 pieces of 38 mm × 89 mm cross-section before undergoing mechanical testing according to ASTM standard D-4761. A linear regression model was developed to predict the static modulus of elasticity of lumber using tree acoustic velocity and stem diameter at 1.3 m above ground level (R2 = 0.41). Results suggest that, at a regional level, 92% of the black spruce trees meet the requirements of MSR grade 1650Fb-1.5E, whilst 64% and 34% meet the 2100Fb-1.8E and 2400Fb-2.0E, respectively. Mature stands with a TSF < 150 years had 11 and 18% more boards in the latter two categories, respectively, and therefore represented the best supply source for MSR lumber. © 2013 by the authors; licensee MDPI, Basel, Switzerland.

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@ARTICLE { ParadisAutyCarterEtAl2013,
    AUTHOR = { Paradis, N. and Auty, D. and Carter, P. and Achim, A. },
    TITLE = { Using a standing-tree acoustic tool to identify forest stands for the production of mechanically-graded lumber },
    JOURNAL = { Sensors },
    YEAR = { 2013 },
    VOLUME = { 13 },
    PAGES = { 3394-3408 },
    NUMBER = { 3 },
    ABSTRACT = { This study investigates how the use of a Hitman ST300 acoustic sensor can help identify the best forest stands to be used as supply sources for the production of Machine Stress-Rated (MSR) lumber. Using two piezoelectric sensors, the ST300 measures the velocity of a mechanical wave induced in a standing tree. Measurements were made on 333 black spruce (Picea mariana (Mill.) BSP) trees from the North Shore region, Quebec (Canada) selected across a range of locations and along a chronosequence of elapsed time since the last fire (TSF). Logs were cut from a subsample of 39 trees, and sawn into 77 pieces of 38 mm × 89 mm cross-section before undergoing mechanical testing according to ASTM standard D-4761. A linear regression model was developed to predict the static modulus of elasticity of lumber using tree acoustic velocity and stem diameter at 1.3 m above ground level (R2 = 0.41). Results suggest that, at a regional level, 92% of the black spruce trees meet the requirements of MSR grade 1650Fb-1.5E, whilst 64% and 34% meet the 2100Fb-1.8E and 2400Fb-2.0E, respectively. Mature stands with a TSF < 150 years had 11 and 18% more boards in the latter two categories, respectively, and therefore represented the best supply source for MSR lumber. © 2013 by the authors; licensee MDPI, Basel, Switzerland. },
    COMMENT = { Export Date: 7 May 2013 Source: Scopus :doi 10.3390/s130303394 },
    ISSN = { 14248220 (ISSN) },
    KEYWORDS = { Acoustic sensors, Forestry wood chain, Machine stress-rated lumber, Wood stiffness },
    OWNER = { Luc },
    TIMESTAMP = { 2013.05.07 },
    URL = { http://www.scopus.com/inward/record.url?eid=2-s2.0-84875180660&partnerID=40&md5=03f7d60d9eb8b7d9a9f180a6fc787b8f },
}

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