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Research Article

Bending Strength Evaluation of Japanese Wooden Cultural Heritage Building Columns Based on a Non-Destructive Testing Method

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Received 29 Aug 2023, Accepted 17 Apr 2024, Published online: 02 May 2024
 

ABSTRACT

Column failure assessment is essential for seismic diagnosis of Japanese wooden cultural heritage buildings. Achieving accurate column failure assessment depends on accurately estimating the bending Young’s modulus (Eb) and characteristic bending strength (Fb) of columns. This study extends the application of a non-destructive testing (NDT) method to estimate Eb and Fb of Japanese cedar columns generally used in wooden cultural heritage buildings. For this purpose, a correlation between the dynamic bending Young’s modulus (Ep) and Eb of Japanese cedar columns is established and the variations in the EpEb relationship across different wood provenances and species are clarified. Using the proposed method, a statistical analysis of the estimated Eb of Japanese wooden cultural heritage buildings is provided. Furthermore, estimated Eb is used to determine Fb of the columns using the mechanical grade classification system. The results show that most Japanese cypress and Japanese cedar columns feature higher Fb than those used in conventional seismic diagnosis. Conversely, two-thirds of the Japanese red pine columns feature a lower Fb than that used in conventional seismic diagnosis. The proposed Fb evaluation method offers an NDT method that can be widely applied to Japanese wooden cultural heritage buildings to assess column failure more accurately.

Acknowledgments

The authors thank Yasuhiro Hayashi (President, National Institute of Technology, Maizuru College) for the assistance with this research. Part of this article was submitted as an abstract (Fu et al. Citation2021a; S. Iijima et al. Citation2021) at the annual meeting of the Architectural Institute of Japan.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This study was supported by JSPS under Grants-in-Aid for Scientific Research [JP19H00793] and in part by JST SPRING under Grant [JPMJSP2110].

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