An investigation on the mechanical behaviour of sandwich composite structures with circular honeycomb bamboo core

Oliveira, Lívia Ávila de; Vieira, Matheus Milagres; Santos, Júlio César dos; Freire, Rodrigo Teixeira Santos; Tonatto, Maikson Luiz Passaia; Panzera, Túlio Hallak; Zamani, Pedram; Scarpa, Fabrizio

doi:10.1007/s44245-022-00006-z

Cited by 14 publications

(9 citation statements)

References 69 publications

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“…de Oliveira [22] used three-point bending tests to evaluate sandwich panels with a bamboo core with varying dimensions, packing geometries, and facing materials. Comparing the mechanical performance of the proposed sandwich panels to commercially available similar structures, which are often employed in the automotive and aerospace sectors, is impressive and competitive.…”

Section: Introductionmentioning

confidence: 99%

Mechanical Properties of Sandwiched Construction with Composite and Hybrid Core Structure

Njim,

Hasan,

Jweeg

et al. 2024

Advances in Polymer Technology

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In the field of lighter substitute materials, sandwich plate models of composite and hybrid foam cores are used in this study. Three core structures: composite core structure and then the core is replaced by a structure of a closed and open repeating cellular pattern manufactured with 3D printing technology. It finally integrated both into one hybrid open-cell core filled with foam and employed the same device (WBW-100E) to conduct the three-point bending experiment. The test was conducted based on the international standard (ASTM-C 393-00) to perform the three-point bending investigation on the sandwich structure. Flexural test finding, with the hybrid polyurethane/polytropic acid (PUR/PLA) core, the ultimate bending load is increased by 127.7% compared to the open-cell structure core. In addition, the maximum deflection increased by 163.3%. The simulation results of three-point bending indicate that employing a hybrid combination of PUR-PLA led to an increase of 382.3%, and for PUR–TPU by 111.8%; however, the highest value recorded with PUR/PLA, which has the slightest stress error among the tests. Also, it is reported that when the volume fraction of reinforced aluminum particles is increased, the overall deformation becomes more sufficient, and the test accuracy improves; for example, rising from 0.5% to 3%, the midspan deflection of composite (foam-Al) is increased by 40.34%. There were noticeable improvements in mechanical properties in the 2.5% composite foam-Al.

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Section: Introductionmentioning

confidence: 99%

Mechanical Properties of Sandwiched Construction with Composite and Hybrid Core Structure

Njim,

Hasan,

Jweeg

et al. 2024

Advances in Polymer Technology

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“…A simple and efficient two-step method has been invented to convert natural bamboo into a lightweight structural material exhibiting a superior strength and toughness due to its bamboo-like gradient laminated structure [ 36 ]. Statistical analysis and three-point bending tests of sandwich panels consisting of a bamboo core with different dimensions, packing geometry (cubic or hexagonal), and facing materials (aluminum or glass fiber-reinforced polymers) showed a dependence of the mechanical behavior on the shear strength and elastic modulus of the bamboo core and the flexural strength of the panels [ 37 ]. An appraisal of the mechanical properties and failure modes of laminated bamboo lumber has indicated that this material is a promising alternative to conventional building materials [ 38 ].…”

Section: Introductionmentioning

confidence: 99%

Mechanical Behavior of Bamboo-Like Structures under Transversal Compressive Loading

Wang

Komvopoulos

2023

Biomimetics

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Inspired by many biological structures in nature, biomimetic structures demonstrate significantly better mechanical performance than traditional engineering structures. The exceptional mechanical properties of natural materials are attributed to the hierarchical architecture of their structure. Consequently, the implementation of biomimetic structures in the design of lightweight structures with tailored mechanical properties has been constantly increasing in many fields of science and engineering. The bamboo structure is of particular interest because it combines a light weight and excellent mechanical properties, often surpassing those of several engineering materials. The objective of this study was to evaluate the mechanical behavior of bamboo-inspired structures subjected to transversal compressive loading. Structures consisting of bamboo-like thin-walled hexagonal building blocks (unit cells) with different dimensions were fabricated by stereolithography 3D printing and their mechanical performance was evaluated by mechanical testing, high-speed camera video recordings, and finite element simulations. The results of the elastic modulus, yield strength, and strain energy density at fracture were interpreted in terms of characteristic dimensions of the unit cell structure. The failure process was elucidated in the light of images of the fractured structures and simulation strain maps. The results of this study demonstrate that ultralight bamboo-like structures with specific mechanical characteristics can be produced by optimizing the dimensions and number density of the hexagonal unit cell.

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“…The significance of damage detection spans various composite materials, including laminate composites, sandwich composites, and composite joints, with applications ranging from aircraft and automotive to wind turbine blades (Yuan et al. , 2021; de Oliveira et al. , 2022; Soleymani et al ., 2021; Saeedifar and Zarouchas, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…The current issue and full text archive of this journal is available on Emerald Insight at: https://www.emerald.com/insight/1757-9864.htm ranging from aircraft and automotive to wind turbine blades (Yuan et al, 2021;de Oliveira et al, 2022;Soleymani et al, 2021;Saeedifar and Zarouchas, 2020). Within the domain of composite materials, numerous damage detection methods have been explored, encompassing sensor measurement techniques such as piezoelectric and strain gauge sensors, as well as methods like acoustic emission and electric resistance (Kong et al, 2023;Wang et al, 2019;Zamani et al, 2019;Zamani et al, 2016;Sha et al, 2019).…”

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confidence: 99%

Crack localization in glass fiber composite beams by experimental modal analysis and multi variable Gaussian process regression method

Rama Krishna,

Sathish,

Rahul Mani Datta

et al. 2023

IJSI

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PurposeEnsuring the early detection of structural issues in aircraft is crucial for preserving human lives. One effective approach involves identifying cracks in composite structures. This paper employs experimental modal analysis and a multi-variable Gaussian process regression method to detect and locate cracks in glass fiber composite beams.Design/methodology/approachThe present study proposes Gaussian process regression model trained by the first three natural frequencies determined experimentally using a roving impact hammer method with crystal four-channel analyzer, uniaxial accelerometer and experimental modal analysis software. The first three natural frequencies of the cracked composite beams obtained from experimental modal analysis are used to train a multi-variable Gaussian process regression model for crack localization. Radial basis function is used as a kernel function, and hyperparameters are optimized using the negative log marginal likelihood function. Bayesian conditional probability likelihood function is used to estimate the mean and variance for crack localization in composite structures.FindingsThe efficiency of Gaussian process regression is improved in the present work with the normalization of input data. The fitted Gaussian process regression model validates with experimental modal analysis for crack localization in composite structures. The discrepancy between predicted and measured values is 1.8%, indicating strong agreement between the experimental modal analysis and Gaussian process regression methods. Compared to other recent methods in the literature, this approach significantly improves efficiency and reduces error from 18.4% to 1.8%. Gaussian process regression is an efficient machine learning algorithm for crack localization in composite structures.Originality/valueThe experimental modal analysis results are first utilized for crack localization in cracked composite structures. Additionally, the input data are normalized and employed in a machine learning algorithm, such as the multi-variable Gaussian process regression method, to efficiently determine the crack location in these structures.

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An investigation on the mechanical behaviour of sandwich composite structures with circular honeycomb bamboo core

Cited by 14 publications

References 69 publications

Mechanical Properties of Sandwiched Construction with Composite and Hybrid Core Structure

Mechanical Properties of Sandwiched Construction with Composite and Hybrid Core Structure

Mechanical Behavior of Bamboo-Like Structures under Transversal Compressive Loading

Crack localization in glass fiber composite beams by experimental modal analysis and multi variable Gaussian process regression method

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