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Structures· 2026Q1

Dowel-bearing strength for engineered bamboo products: Review and data-driven analysis

Hao Li, Yang Wei, Libin Wang

Short summary

A new theoretical model for predicting dowel-bearing strength in engineered bamboo, considering specimen dimensions and material properties, outperformed current design codes and offered good physical interpretability, though its predictive accuracy was slightly lower than machine learning models.

AI-generated from the title and abstract; the full text is not read.

Key points

  • A new theoretical model for dowel-bearing strength in engineered bamboo was developed based on stress dispersion theory.
  • The model considers specimen dimensions, dowel diameter, and material yield strength in compression.
  • The theoretical model's predictive performance was slightly lower than ML models but markedly outperformed current design codes.
  • The model provides good physical interpretability regarding the influence of dowels on the material.

AI-generated from the title and abstract; the full text is not read.

Abstract

Engineered bamboo products, represented by laminated bamboo and bamboo scrimber, have attracted increasing attention in sustainable construction. Connections in engineered bamboo structures often rely on bolted joints, for which half-hole dowel-bearing strength is a key parameter for characterizing the local bearing response. This study reviewed the manufacturing processes of laminated bamboo and bamboo scrimber and summarized common testing methods for evaluating the dowel-bearing strength of engineered bamboo products. After introducing the failure modes of dowel-bearing test specimens, the primary influencing factors for dowel-bearing strength were discussed. Based on a database of 1634 half-hole specimens, dowel-bearing strength was predicted using a data-driven machine learning (ML) approach. A new theoretical model based on stress dispersion theory was developed, considering specimen dimensions, dowel diameter, and the corresponding material yield strength in compression. The coefficients in the developed theoretical model were determined using a combined algorithm in which the model was embedded into ML algorithms. It was found that, for specimens loaded parallel and perpendicular to the grain, the dowel significantly influenced a region extending up to 4.50 times its diameter along the corresponding dispersion angle; for specimens loaded parallel to the grain, within the theoretical region of significant influence described above, the dowel also significantly affected a region within 0.45 times the specimen length along the corresponding dispersion angle. The predictive performance of the proposed theoretical model was slightly lower than that of most of the data-driven ML models, but it markedly outperformed the models adopted in current design codes and offered good physical interpretability.

The authors' abstract, as published at the source. Structures, 2026 · DOI ↗

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Field: Plant Science

Plant ScienceAgricultural and Biological Sciences