2019
DOI: 10.1007/s00468-018-01808-z
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Can sonic tomography predict loss in load-bearing capacity for trees with internal defects? A comparison of sonic tomograms with destructive measurements

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Cited by 19 publications
(20 citation statements)
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“…Although desirable to increase the accuracy of the estimate, it is clear that weighing the contribution of tomographic pixels to the load-bearing capacity with the stress wave velocity, as described by [19], would not be justified. Another point of debate is the best color threshold to use to discriminate between intact wood and decay or cavities [36,37]. Based on our experience, we decided not to include green areas in the decay/cavity category.…”
Section: Discussionmentioning
confidence: 99%
“…Although desirable to increase the accuracy of the estimate, it is clear that weighing the contribution of tomographic pixels to the load-bearing capacity with the stress wave velocity, as described by [19], would not be justified. Another point of debate is the best color threshold to use to discriminate between intact wood and decay or cavities [36,37]. Based on our experience, we decided not to include green areas in the decay/cavity category.…”
Section: Discussionmentioning
confidence: 99%
“…We explained this to assessors prior to the field study. After the field study, we computed the loss in section modulus due to decay (ZLOSS) from each sonic tomogram following the method of [32]. proportions of the total cross-sectional area.…”
Section: Methodsmentioning
confidence: 99%
“…This noted, some defects have received more empirical scrutiny than others. Many studies have investigated how well practitioners can assess the presence, extent, and location of decay [43][44][45][46]; fewer have explored the degree to which decay increases the likelihood of failure [19,47]. In this study, the presence of decay was associated with a greater proportion of branch and whole tree failures (Figure 3), but the data from Koeser et al [19] did not align with this, which is a reminder that the presence of even a severe defect does not always induce failure.…”
Section: Defect Analysismentioning
confidence: 99%