Design, fabrication and mechanical properties of an auxetic cylindrical sandwich tube with improved energy absorption

Thin-Walled Structures, Год журнала: 2025, Номер unknown, С. 113036 - 113036

Опубликована: Фев. 1, 2025

Язык: Английский

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Eccentric compression behaviour of hybrid timber-cardboard sandwich columns

Construction and Building Materials, Год журнала: 2024, Номер 440, С. 137365 - 137365

Опубликована: Июль 15, 2024

Timber-Cardboard Sandwich (TCS) panels are an emerging class of lightweight and low cost structural composite material, made from bio-based recycled waste materials. However, there is a lack data knowledge as to their compressive behaviours, preventing application column or wall panel elements. This paper conducts experimental analytical investigations address this gap by characterising the eccentric axial performance TCS columns. Thirty columns were tested under uniaxial loading, with specimen types developed investigate influence four key design parameters: cardboard core source type thickness timber facings, slenderness ratio. Test results indicate that face crushing governing failure mechanism ultimate capacity primarily controlled facing no observable contributions core. Based on observations, models predict load-carrying lateral deflection for eccentrically-loaded columns, giving load predictions within 5% all studied types. Research findings provide valuable insights will enable be more widely used in sustainable building products.

Язык: Английский

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Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

Advanced Engineering Materials, Год журнала: 2025, Номер unknown

Опубликована: Янв. 3, 2025

In this article, an in‐depth investigation into the mechanical response of novel Y‐shaped core sandwich beams under static and dynamic compressive loading conditions is presented. Utilizing deep feed‐forward neural networks (DFNNs) as primary supervised learning scheme, behavior these advanced structures predicted. The trained DFNN model demonstrates high fidelity in capturing stress–strain relationships, evidenced by close alignment predicted experimental results. Key design parameters cores are varied to understand their influence on beams’ linear, plateau, densification regions, where higher values contribute increased stiffness, prolonged plateau points. Additionally, impact rates (1, 7, 14 mm min −1 ) performance analyzed, revealing significant rate‐dependent behaviors. decision tree algorithm exhibits superior classification with a 99.79% accuracy, further validating robustness predictive model. contrast, support vector machine radial basis function shows moderate accuracy at 75.12%. Through findings, potential DFNNs modeling importance optimizing proposed.

Язык: Английский

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Auxetic effect of irregularly corrugated cores of wood-based cosinecomb panels

Thin-Walled Structures, Год журнала: 2025, Номер unknown, С. 112989 - 112989

Опубликована: Янв. 1, 2025

Язык: Английский

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Timber-Cardboard Web-Core Sandwich panels for lightweight housing applications

Structures, Год журнала: 2025, Номер 73, С. 108315 - 108315

Опубликована: Фев. 12, 2025

Язык: Английский

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A Review of the implementation of R-imperatives in circular construction

Cleaner Production Letters, Год журнала: 2025, Номер unknown, С. 100097 - 100097

Опубликована: Фев. 1, 2025

Язык: Английский

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