Analysis of tension and bending fracture behavior in moso bamboo (<i>Phyllostachys pubescens</i>) using synchrotron radiation micro-computed tomography (SRμCT)

Liu, Huanrong; Peng, Gang; Chai, Yuan; Huang, Aiyue; Jiang, Zehui; Zhang, Xiubiao

doi:10.1515/hf-2018-0275

Cited by 15 publications

(5 citation statements)

References 40 publications

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“…When compressed in the longitudinal direction, the bamboo fibers were distorted ( Figure 9 (a2)), and a few bamboo fibers showed characteristics of shear failure and fiber debonding ( Figure 9 (a2)). It can be judged that the failure of the bamboo fibers during longitudinal compression was ductile [ 24 ]. However, when compressed in the tangential and radial directions, the fibers were broken neatly and without deformation ( Figure 9 (b2,c2)), which means that the failure of the fibers was brittle.…”

Section: Resultsmentioning

confidence: 99%

Compressive Failure Mechanism of Structural Bamboo Scrimber

et al. 2021

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Bamboo scrimber is one of the most popular engineering bamboo composites, owing to its excellent physical and mechanical properties. In order to investigate the influence of grain direction on the compression properties and failure mechanism of bamboo scrimber, the longitudinal, radial and tangential directions were selected. The results showed that the compressive load–displacement curves of bamboo scrimber in the longitudinal, tangential and radial directions contained elastic, yield and failure stages. The compressive strength and elastic modulus of the bamboo scrimber in the longitudinal direction were greater than those in the radial and tangential directions, and there were no significant differences between the radial and tangential specimens. The micro-fracture morphology shows that the parenchyma cells underwent brittle shear failure in all three directions, while the fiber failure of the longitudinal compressive specimens consisted of ductile fracture, and the tangential and radial compressive specimens exhibited brittle fracture. This is one of the reasons that the deformation of the specimens under longitudinal compression was greater than those under tangential and radial compression. The main failure mode of bamboo scrimber under longitudinal and radial compression was shear failure, and the main failure mode under tangential compression was interlayer separation failure. The reason for this difference was that during longitudinal and radial compression, the maximum strain occurred at the diagonal of the specimen, while during tangential compression, the maximum strain occurred at the bonding interface. This study can provide benefits for the rational design and safe application of bamboo scrimber in practical engineering.

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Section: Resultsmentioning

confidence: 99%

Compressive Failure Mechanism of Structural Bamboo Scrimber

et al. 2021

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“…Furthermore, XGBoost includes an improved method to determine the splitting node based on the objective functions. The objective function in the XGBoost model before and after splitting a node is shown in Equations ( 6) and (7), respectively. The best splitting node is identified when the largest difference between the two objective functions is obtained (Equation ( 8)).…”

Section: Xgboost Algorithmmentioning

confidence: 99%

“…Experimental methods such as mechanical testing, scanning electron microscopy, atom force microscopy, and nano-indentation have been used to characterize the mechanical properties, microstructure, interfacial morphology, and microscopic stiffness distribution of composites [ 1 , 4 ]. However, it is difficult to investigate various failure modes such as matrix failure, fiber fracture, and interfacial debonding using experimental methods [ 7 , 8 ]. Moreover, it is also difficult to systematically investigate the effect of multiple factors on the mechanical properties of plant fiber-reinforced composites [ 9 , 10 , 11 , 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

Tensile Performance Mechanism for Bamboo Fiber-Reinforced, Palm Oil-Based Resin Bio-Composites Using Finite Element Simulation and Machine Learning

Wang

Liu

et al. 2023

Polymers

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Plant fiber-reinforced composites have the advantages of environmental friendliness, sustainability, and high specific strength and modulus. They are widely used as low-carbon emission materials in automobiles, construction, and buildings. The prediction of their mechanical performance is critical for material optimal design and application. However, the variation in the physical structure of plant fibers, the randomness of meso-structures, and the multiple material parameters of composites limit the optimal design of the composite mechanical properties. Based on tensile experiments on bamboo fiber-reinforced, palm oil-based resin composites, finite element simulations were carried out and the effect of material parameters on the tensile performances of the composites was investigated. In addition, machine learning methods were used to predict the tensile properties of the composites. The numerical results showed that the resin type, contact interface, fiber volume fraction, and multi-factor coupling significantly influenced the tensile performance of the composites. The results of the machine learning analysis showed that the gradient boosting decision tree method had the best prediction performance for the tensile strength of the composites (R2 was 0.786) based on numerical simulation data from a small sample size. Furthermore, the machine learning analysis demonstrated that the resin performance and fiber volume fraction were critical parameters for the tensile strength of composites. This study provides an insightful understanding and effective route for investigating the tensile performance of complex bio-composites.

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“…Fibers are responsible for bearing extra loads and blocking crack propagation in tension and bending tests 9 . In contrast, bamboo fibers cannot block longitudinal crack propagation in tensile-shear, cross-shear, and step-shear tests because of their insufficient transverse fiber bundles.…”

Section: Introductionmentioning

confidence: 99%

Optimal design of bamboo under transverse bending

Sato,

Chalermsin,

Kanahama

2023

Preprint

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Bamboo, a natural functionally graded material (FGM), exhibits self-adaptive properties that are potentially responsible for its distinct vascular bundle distribution. This study explores the optimal spatial distribution of vascular bundles to maximize flexural rigidity during transverse bending. We compared the expression for volume fraction of fibers with a verified volume fraction expression and utilized the Halpin-Tsai equation to derive expressions for transverse Young's modulus and flexural rigidity. The optimal distribution was consistent with the actual distribution in Moso bamboo, which exhibits significant ovalization of the cross section due to pure bending. Bamboo behaves as a cylindrical shell near its base where the ovalization effect is significant and as a beam at other regions. Furthermore, the spatial distribution of flexural rigidity from pure bending is optimized at all positions in wild bamboo, demonstrating its potential as a versatile FGM that can adjust its distribution under both pure and transverse bending.

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Analysis of tension and bending fracture behavior in moso bamboo (Phyllostachys pubescens) using synchrotron radiation micro-computed tomography (SRμCT)

Cited by 15 publications

References 40 publications

Compressive Failure Mechanism of Structural Bamboo Scrimber

Compressive Failure Mechanism of Structural Bamboo Scrimber

Tensile Performance Mechanism for Bamboo Fiber-Reinforced, Palm Oil-Based Resin Bio-Composites Using Finite Element Simulation and Machine Learning

Optimal design of bamboo under transverse bending

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