ASTM D5536-1994(2010) Standard Practice for Sampling Forest Trees for Determination of Clear Wood Properties《测定无疵病木材性能用林森书面的标准抽样规范》.pdf
《ASTM D5536-1994(2010) Standard Practice for Sampling Forest Trees for Determination of Clear Wood Properties《测定无疵病木材性能用林森书面的标准抽样规范》.pdf》由会员分享,可在线阅读,更多相关《ASTM D5536-1994(2010) Standard Practice for Sampling Forest Trees for Determination of Clear Wood Properties《测定无疵病木材性能用林森书面的标准抽样规范》.pdf(9页珍藏版)》请在麦多课文档分享上搜索。
1、Designation: D5536 94 (Reapproved 2010)Standard Practice forSampling Forest Trees for Determination of Clear WoodProperties1This standard is issued under the fixed designation D5536; the number immediately following the designation indicates the year oforiginal adoption or, in the case of revision,
2、the year of last revision. A number in parentheses indicates the year of last reapproval. Asuperscript epsilon () indicates an editorial change since the last revision or reapproval.INTRODUCTIONThe everyday use of wood for many different purposes creates a continual need for data on itsmechanical pr
3、operties. Small clear specimen testing to characterize a species has historically beenemployed for such property determination, and related methods of test are outlined in Methods D143.Because wood is a biological material, its mechanical properties are subject to considerable naturalvariation. Thus
4、, the results of tests to evaluate the mechanical properties of a species depend to a greatextent upon how the forest trees are sampled for test material. Ideally, if the results of mechanicalproperty evaluations are to be representative of the forest sampled, probability sampling of materialssuch a
5、s outlined in Practice E105 must be used. However, true probability sampling of the forest treesfor determination of mechanical properties can be extremely complex and expensive because of thebroad geographic range and topographic conditions under which a tree species grows. In someinstances, direct
6、 probability sampling may be impractical, necessitating the need for alternativesampling procedures.2, 31. Scope1.1 This practice offers two alternative physical samplingprocedures: cruciform sampling and random sampling. Thechoice of procedure will depend upon the intended use for thetest results,
7、the resources available for sampling and testing,and the availability of existing data on the mechanical proper-ties and specific gravity of the species of interest.1.2 A third procedure, double sampling, is included prima-rily by reference. This procedure applies the results of cruci-form or random
8、 samples through correlation to improve orupdate property values.1.3 This standard does not purport to address all of thesafety concerns, if any, associated with its use. It is theresponsibility of the user of this standard to establish appro-priate safety and health practices and determine the appl
9、ica-bility of regulatory limitations prior to use.2. Referenced Documents2.1 ASTM Standards:4D143 Test Methods for Small Clear Specimens of TimberD2555 Practice for Establishing Clear Wood Strength Val-uesE105 Practice for Probability Sampling of Materials3. Significance and Use3.1 This practice cov
10、ers procedures of sampling for obtain-ing small clear wood specimens which, when tested in accor-dance with Methods D143 and, in conjunction with full-sizeproduct tests, will provide mechanical properties for use inderiving design properties for lumber, panels, poles, houselogs, and other products.3
11、.2 Data obtained by testing specimens sampled in accor-dance with these methods also provide information on theinfluence on mechanical properties of such factors as density,locality of growth, position in cross section, height in the tree,and moisture content.1This practice is under the jurisdiction
12、 of ASTM Committee D07 on Wood andis the direct responsibility of Subcommittee D07.08 on Forests.Current edition approved May 1, 2010. Published July 2010. Originally approvedin 1994. Last previous edition approved in 2004 as D553694(2004). DOI:10.1520/D5536-94R10.2Bendtsen, B. A., Freese, F., and E
13、thington, R. L., “A Forest Sampling Methodfor Wood Strength,” Forest Products Journal , Vol 20, No. 11, 1970, pp. 3847.3Pearson, R. G., and Williams, E. J., “A Review of Methods for Sampling ofTimber,” Forest Products Journal, Vol 8, No. 9, 1958, pp. 263268.4For referenced ASTM standards, visit the
14、ASTM website, www.astm.org, orcontact ASTM Customer Service at serviceastm.org. For Annual Book of ASTMStandards volume information, refer to the standards Document Summary page onthe ASTM website.1Copyright ASTM International, 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959, Un
15、ited States.3.3 Cruciform sampling is of principal value when informa-tion is desired on the influence on mechanical properties ofheight in the tree; of age or radial position in the tree; of rateof growth; the change from sapwood to heartwood; therelationships between mechanical properties and fact
16、ors suchas specific gravity; and making general comparisons betweenspecies for purposes of rating or selecting species for specificend-use products. Cruciform sampling does not provide unbi-ased estimates of mean values, percentile or other descriptivestatistics, or a means of associating statistica
17、l confidence withestimates of descriptive statistics.3.4 Double sampling is used when it is desired to improveor update existing estimates of mechanical property values thatare the basis for establishing allowable design stresses forstress-graded lumber, plywood, poles and piling, and otherwood prod
18、ucts. The method involves predicting one propertyby carefully observing a well-correlated auxiliary property thatis presumably easier or cheaper to measure. A sample estimateof the auxiliary property is obtained with a high degree ofprecision by representatively sampling the population. Asmaller ind
19、ependent sample or a subsample of the large sampleis used to establish a relationship between the auxiliaryproperty and the property for which an estimate is desired. Asapplied to sampling a forest, double sampling has employedspecific gravity to predict mechanical properties. The double-sampling me
20、thod provides unbiased estimates of mean me-chanical property values and an approximation method forestimating percentile values. Statistical confidence may beassociated with the estimates of the means but not thepercentile values.3.5 Random sampling is used when probability estimates ofdescriptive
21、statistics and property distributional characteristicsare desired as the basis for establishing allowable designstresses for lumber and other stress-rated products. It isapplicable when data for a species do not exist or when existingestimates are believed no longer applicable because of achanging f
22、orest character. Random sampling provides betterprobability estimates than double sampling and is less expen-sive and quicker if sampling and testing must be completed toestablish mechanical property-specific gravity regressions forthe double-sampling method.4. Authentic Identification4.1 The materi
23、al shall be from trees selected in the forest byone qualified to identify the species and to select the trees.Where necessary, herbarium samples such as leaves, fruit,twigs, and bark shall be obtained to ensure positive identifica-tion.5. Cruciform SamplingPrimary Method5.1 The standard methods for
24、preparing small clear speci-mens of timber, primary method, provide for cutting the logsections (divided into and identified as bolts) systematicallyinto sticks of nominal 212 by 212 in. (63 by 63 mm) in crosssection, that are later surfaced to provide the test specimens 2by 2 in. (50 by 50 mm) in c
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