Strength design values of high-performance bamboo-based composite materials based on reliability requirements

Zheng, Yubin; Zhou, Changdong; Wang, Yuqian; Zhang, Peng

doi:10.1016/j.conbuildmat.2023.130454

Cited by 6 publications

(5 citation statements)

References 18 publications

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“…Rather, they investigated the effects of uncertainty sources on the different behaviors (especially dynamic behaviors) of these structures. A summary of these studies [15][16][17][18][19][20][21][22][23][24][25][26][27] is presented in Fig. 2.…”

Section: Figmentioning

confidence: 99%

A novel hybrid multi-stage probabilistic algorithm for the damage detection of carbon nanotube panels by considering the uncertainty of materials and mechanical properties

Khayat,

Amoushahi

2024

Preprint

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Composite materials have a high level of uncertainty (intrinsic and non-intrinsic) due to the manufacturing process as well as the placement of different phases of their constituent materials. These uncertainties can be identified in both macro and micro scales. Identifying the behavior of structures made of composite materials without taking into account the uncertainties, whether due to identification or modeling, can lead to unrealistic results, especially in the dynamic behavior of structures. One of these cases is the identification of damage types in composite structures which is usually done by using dynamic responses. Damages in composite materials or structures usually occur during construction or operation. The correct modeling of uncertainty sources is one of the most important factors in identifying the geometry, location, and severity of damages accurately. The uncertainties related to the position and placement of carbon nanotubes (CNTs) can cause noticeable changes in the characteristics of composite materials reinforced with CNTs. For this reason, in the present study, we identified damages in CNT panels by considering all possible sources of uncertainty. A probabilistic multi-stage reliability-based method was proposed in this study to detect damage in these structures. In order to model the intrinsic and non-intrinsic sources of uncertainty, a modified point estimation method (MPEM) was used. In addition, an enhanced differential quadrature (DQ) method was used to model the CNT panels. In each step of the proposed algorithm, the probability of damage in each element of the panels was calculated by analyzing the possible damages. According to the results of the previous step, the elements with a low failure probability were gradually sifted in the next steps. The sieved elements in each step were considered as intact elements in the next step. This systematic filtering of design variables can simultaneously reduce the dimensions and speed up the optimization problem. Finally, the probability of damage was calculated based on the probability density function of various damage severities and positions. The developed approach was applied for damage detection on a laboratory-tested plate to illustrate the efficiency of the proposed method. The effects of using different damage positions and severity levels on the diagnosis results were discussed. The results demonstrated that the number of frequencies and modes of vibration required to identify the position and severity of damages accurately is different according to the damage scenarios and the percentage of uncertainty.

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Section: Figmentioning

confidence: 99%

A novel hybrid multi-stage probabilistic algorithm for the damage detection of carbon nanotube panels by considering the uncertainty of materials and mechanical properties

Khayat,

Amoushahi

2024

Preprint

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“…In the case of sufficient research on the mechanical properties of BS, it is of great significance to obtain the strength design value through reliability analysis. According to the damage characteristics of material test, the reliability index of design strength during compression is 3.2, the loading duration and reliability index are negatively correlated with the strength design value [64]. Shangguan et al [71] studied the compression of BS made from different fiber orientations, and explored the influence of fiber orientation on the compressive properties and failure forms of BS.…”

Section: Compressionmentioning

confidence: 99%

“…Taking natural bamboo as the comparison object, it is found that the failure mode of BS shows obvious brittleness, and the bending failure is the result of the joint action of tensile, shear and compressive stress [88]. According to the analysis of the bending load displacement curve of BS, its bending damage is between toughness and brittleness [62,64]. Compared with natural bamboo, the deformability of BS is reduced and the brittleness is increased, which is due to the compression of the cavities of the vessel and parenchymal cells that absorb energy in the manufacturing process [88].…”

Section: Bendingmentioning

confidence: 99%

“…The fracture surface is irregular in most cases. Only when the fiber distribution of the sample is uniform, the fracture surface is flat and almost perpendicular to the fiber [48,58,59,62,64,73].…”

Section: Tensionmentioning

confidence: 99%

“…It can be seen from relevant researches [50,55,58,64] that the failure surface of BS is rough during the shear failure parallel to the grain, the shear strength parallel to the grain is between 10-20 Mpa, and the shear strength increases with the increase of the density of BS [63].…”

Section: Shearmentioning

confidence: 99%

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A Review of Basic Mechanical Properties of Bamboo Scrimber Based on Small-Scale Specimens

Xue,

Li,

Lorenzo

2024

JRM

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This review summarizes the existing knowledge about the mechanical properties of bamboo scrimber (BS) in literature. According to literature reviews, the strength of BS under different load modes is affected by a series of factors, such as the type of original bamboo, growth position, resin content, treatment method and density. Therefore, different production processes can be adopted according to different requirements, and bamboo scrimbers can also be classified accordingly. In addition, this review summarizes the changes in different factors considered by scholars in the research on the mechanical properties of BS, so that readers can have an overall understanding of the existing research and make more innovative and valuable research on this basis. This review provides and discusses the conclusive observations, the current research gaps and future research directions on the mechanical properties of BS.

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Comparison of mechanical performance uncertainties for sustainable high-performance bamboo/wood composites

Zheng,

Zhou,

Zhang

et al. 2023

Construction and Building Materials

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Strength design values of high-performance bamboo-based composite materials based on reliability requirements

Cited by 6 publications

References 18 publications

A novel hybrid multi-stage probabilistic algorithm for the damage detection of carbon nanotube panels by considering the uncertainty of materials and mechanical properties

A novel hybrid multi-stage probabilistic algorithm for the damage detection of carbon nanotube panels by considering the uncertainty of materials and mechanical properties

A Review of Basic Mechanical Properties of Bamboo Scrimber Based on Small-Scale Specimens

Comparison of mechanical performance uncertainties for sustainable high-performance bamboo/wood composites

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