Sampling sufficiency for mechanical properties of wood

Abstract: Based on most recently published studies, there is a large variability in both the mechanical properties of wood and sample sizes selected to evaluate them. This study aims to define sampling sufficiency for some mechanical properties of wood, which were bending strength, bending modulus, compressive strength, compressive modulus, hardness, and shear strength. The mechanical tests were carried out according to an American standard procedure on wood samples cut from clonal Eucalyptus planted in southern Brazil. Sampling sufficiency was determined by an intensive computational method based on resampling of original data using Monte Carlo simulations. The experimental tests data conformed to the normal distribution and most of the obtained sufficient sample sizes determined by Monte Carlo simulation were above those sample sizes used in most already published studies. Furthermore, properties related to wood stiffness presented smaller variabilities than their respective properties associated with wood strength, leading to smaller sample sizes for the former cases.

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Main Authors: B. Aramburu,Arthur, Gatto,Darci A., Beltrame,Rafael, Delucis,Rafael A.
Format: Digital revista
Language:English
Published: Universidad del Bío-Bío 2023
Online Access:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-221X2023000100411
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spelling oai:scielo:S0718-221X20230001004112023-03-28Sampling sufficiency for mechanical properties of woodB. Aramburu,ArthurGatto,Darci A.Beltrame,RafaelDelucis,Rafael A. Eucalyptus Monte carlo simulation resampling sampling sufficiency wood stiffness wood strength. Abstract: Based on most recently published studies, there is a large variability in both the mechanical properties of wood and sample sizes selected to evaluate them. This study aims to define sampling sufficiency for some mechanical properties of wood, which were bending strength, bending modulus, compressive strength, compressive modulus, hardness, and shear strength. The mechanical tests were carried out according to an American standard procedure on wood samples cut from clonal Eucalyptus planted in southern Brazil. Sampling sufficiency was determined by an intensive computational method based on resampling of original data using Monte Carlo simulations. The experimental tests data conformed to the normal distribution and most of the obtained sufficient sample sizes determined by Monte Carlo simulation were above those sample sizes used in most already published studies. Furthermore, properties related to wood stiffness presented smaller variabilities than their respective properties associated with wood strength, leading to smaller sample sizes for the former cases.info:eu-repo/semantics/openAccessUniversidad del Bío-BíoMaderas. Ciencia y tecnología v.25 20232023-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-221X2023000100411en10.4067/s0718-221x2023000100411
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country Chile
countrycode CL
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databasecode rev-scielo-cl
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region America del Sur
libraryname SciELO
language English
format Digital
author B. Aramburu,Arthur
Gatto,Darci A.
Beltrame,Rafael
Delucis,Rafael A.
spellingShingle B. Aramburu,Arthur
Gatto,Darci A.
Beltrame,Rafael
Delucis,Rafael A.
Sampling sufficiency for mechanical properties of wood
author_facet B. Aramburu,Arthur
Gatto,Darci A.
Beltrame,Rafael
Delucis,Rafael A.
author_sort B. Aramburu,Arthur
title Sampling sufficiency for mechanical properties of wood
title_short Sampling sufficiency for mechanical properties of wood
title_full Sampling sufficiency for mechanical properties of wood
title_fullStr Sampling sufficiency for mechanical properties of wood
title_full_unstemmed Sampling sufficiency for mechanical properties of wood
title_sort sampling sufficiency for mechanical properties of wood
description Abstract: Based on most recently published studies, there is a large variability in both the mechanical properties of wood and sample sizes selected to evaluate them. This study aims to define sampling sufficiency for some mechanical properties of wood, which were bending strength, bending modulus, compressive strength, compressive modulus, hardness, and shear strength. The mechanical tests were carried out according to an American standard procedure on wood samples cut from clonal Eucalyptus planted in southern Brazil. Sampling sufficiency was determined by an intensive computational method based on resampling of original data using Monte Carlo simulations. The experimental tests data conformed to the normal distribution and most of the obtained sufficient sample sizes determined by Monte Carlo simulation were above those sample sizes used in most already published studies. Furthermore, properties related to wood stiffness presented smaller variabilities than their respective properties associated with wood strength, leading to smaller sample sizes for the former cases.
publisher Universidad del Bío-Bío
publishDate 2023
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-221X2023000100411
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AT beltramerafael samplingsufficiencyformechanicalpropertiesofwood
AT delucisrafaela samplingsufficiencyformechanicalpropertiesofwood
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