4.6 Article

Nondestructive Testing Based Compressive Bearing Capacity Prediction Method for Damaged Wood Components of Ancient Timber Buildings

期刊

MATERIALS
卷 14, 期 19, 页码 -

出版社

MDPI
DOI: 10.3390/ma14195512

关键词

wood components; internal damage; nondestructive testing; compressive strength

资金

  1. Social Science Foundation of Beijing [16YJC054]
  2. National Science Foundation of China [51808038]

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The wave-drag modulus nondestructive testing method accurately predicts the compressive bearing capacity of damaged wood components and highlights that internal insect damage is more destructive than internal cavities. The research findings provide crucial insights for assessing the material condition of wood components in ancient buildings.
In this research, a wave-drag modulus nondestructive testing method was proposed to predict the compressive bearing capacity of damaged wood components. Using an ancient Chinese building as a case study, internal and external inspections were performed to obtain defect data and related tree species information. Using the same tree species, wave-drag modulus and scale tests were carried out to predict the residual bearing capacity when there was damage in the form of internal cavities or edge material reduction and to compare the damage and loss experimental data. The results show that the internal defect combination model established by two nondestructive testing methods (stress wave and impedance meter) based on the weight distribution can accurately determine the internal damage condition of wood components. There was a significant correlation between wave-drag modulus and compressive strength along the wood grains. The measured values of wood components with different defects were consistent with the theoretical values predicted by the wave-drag modulus, which can effectively improve the prediction of residual bearing capacity. In addition, it was determined that edge material reduction is more destructive to a wood component than the presence of an interior cavity. Thus, the wave-drag modulus can quickly locate vulnerable sections and provide a relevant basis for judging the material condition of wood components in ancient buildings.

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