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Licensed Unlicensed Requires Authentication Published online by De Gruyter March 26, 2024

A study of dimensional effects on the stress characteristics of Yunnan pine shafts considering seismic strain rates

  • Jianhui Liu ORCID logo , Guolin Xu ORCID logo EMAIL logo , Yashuang Bai , Yujie Lin and Wenqing Geng
From the journal Holzforschung

Abstract

The mechanical properties of wood are affected by member size and loading rate. Axial compression tests with different seismic strain rates and sizes of specimens were carried out to investigate the static and dynamic dimensional effects of Yunnan pine timber. And obtained load-displacement curves, compressive strength, modulus of elasticity, peak strain and Poisson’s ratio. Weibull’s weakest chain theory, Bazant’s law of dimensional effects and Carpinteri’s law of multiple fractal dimensional effects were used to analyze the dimensional effects on the compressive strength of wood, and to establish a wood strength model that takes strain rate effects and dimensional effects into account. The results showed that the compressive strength, elastic modulus, and Poisson’s ratio of Yunnan pine wood exhibit both size and strain rate effects. Under the coupling effect of strain rate effect and size effect, the size effect of Yunnan pine wood strength decreases with increasing strain rate, while the strain rate effect increases with increasing size. A size effect model for compressive strength of wood considering strain rate effect based on three theories and experimental data can well describe the dynamic size effect of Yunnan pine wood strength.


Corresponding author: Guolin Xu, Institute of Civil Engineering, Southwest Forestry University, Kunming 650224, China, E-mail:

Award Identifier / Grant number: 52268051

  1. Research ethics: Not applicable.

  2. Author contributions: Jianhui Liu: innovation points of the paper and manuscript writing; Guolin Xu: design experimental plans and polishing statements; Yashuang Bai: paper chart making; Yujie Lin: making of test pieces; Wenqing Geng: conducting experiments.

  3. Competing interests: The authors state no conflict of interest.

  4. Research funding: The authors gratefully acknowledge the funding support received from the National Natural Science Foundation of China (grant no. 52268051).

  5. Data availability: The raw data can be obtained on request from the corresponding author.

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Received: 2023-09-19
Accepted: 2024-03-07
Published Online: 2024-03-26

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