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Prediction model based on chemical composition change for the mechanical degradation of Korean pine (Pinus koraiensis) after brown-rot fungi (Gloeophyllum trabeum) invasion

  • Lipeng Zhang ORCID logo , Qifang Xie ORCID logo EMAIL logo , Liujie Yang , Yajie Wu and Xingxia Ma
Published/Copyright: November 9, 2021
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Abstract

In order to predict the mechanical properties of Korean pine after brown-rot decay based on its chemical composition change, 252 samples were prepared and exposed to a 14-week accelerated laboratory decay test using the brown-rot fungus Gloeophyllum trabeum. The mass loss, parallel-to-grain compressive strength, parallel-to-grain tensile strength and bending strengths were tested. Then chemical components and scanning electron micrograph analysis were conducted every two weeks. Results indicated that the mass loss rates of the samples increased with the increasing decay time and were negatively correlated with the sample volume. The strength loss rates were positively correlated with the decay time and mass loss rates. After 14 weeks the average strength loss rates of the parallel-to-grain compressive, tensile and bending samples reached 32%, 41% and 41%, respectively. Strengths degradation was found sensitive to the change of cellulose and hemicellulose contents. Further, mathematical regression models were proposed based on the content changes of the cellulose and hemicellulose to quantitatively predict the degradation of the strengths of Korean pine after brown-rot decay.


Corresponding author: Qifang Xie, School of Civil Engineering, Xi’an University of Architecture & Technology, Xi’an 710055, Shaanxi, China; and Key Lab of Structure Engineering and Earthquake Resistance, Ministry of Education (XAUAT), Xi’an 710055, Shaanxi, China, E-mail:

Award Identifier / Grant number: 31971588

Award Identifier / Grant number: 51878550

Funding source: Shaanxi Natural Science Basic Research Program

Award Identifier / Grant number: 2021JC-44

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: The authors gratefully acknowledge the funding support received from the National Natural Science Foundation of China (grant no. 51878550 & 31971588) and the Shaanxi Natural Science Basic Research Program (grant no. 2021JC-44).

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Supplementary Material

The online version of this article offers supplementary material (https://doi.org/10.1515/hf-2021-0082).


Received: 2021-04-28
Accepted: 2021-08-08
Published Online: 2021-11-09
Published in Print: 2022-01-27

© 2021 Walter de Gruyter GmbH, Berlin/Boston

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