On the design and crashworthiness of a novel auxetic self-locking energy absorption system

International Journal of Solids and Structures, Год журнала: 2025, Номер unknown, С. 113246 - 113246

Опубликована: Янв. 1, 2025

Язык: Английский

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Multi-objective optimization of diaphragm reinforced bamboo-inspired energy absorption systems

Composite Structures, Год журнала: 2025, Номер unknown, С. 118865 - 118865

Опубликована: Янв. 1, 2025

Язык: Английский

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A novel windmill-shaped auxetic structure with energy absorption enhancement

International Journal of Mechanical Sciences, Год журнала: 2024, Номер 280, С. 109635 - 109635

Опубликована: Авг. 10, 2024

Язык: Английский

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Damage-programmable design of metamaterials achieving crack-resisting mechanisms seen in nature

Nature Communications, Год журнала: 2024, Номер 15(1)

Опубликована: Авг. 27, 2024

The fracture behaviour of artificial metamaterials often leads to catastrophic failures with limited resistance crack propagation. In contrast, natural materials such as bones and ceramics possess microstructures that give rise spatially controllable path toughened material advances. This study presents an approach is inspired by nature's strengthening mechanisms develop a systematic design method enabling damage-programmable engineerable microfibers in the cells can program micro-scale behaviour. Machine learning applied provide effective engine accelerate generation offer advanced toughening functionality bowing, deflection, shielding seen materials; are optimised for given programming path. paper shows features effectively enable crack-resisting on basis tip interactions, shielding, bridging synergistic combinations these mechanisms, increasing up 1,235% absorbed energy comparison conventional metamaterials. proposed have broad implications damage-tolerant materials, lightweight engineering systems where significant resistances or highly programmable damages high performances sought after.

Язык: Английский

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In‐Plane Crashworthiness of Gradient Curved‐Walled Honeycombs: Experimental, Numerical Simulation, and Theoretical Analysis

Advanced Engineering Materials, Год журнала: 2024, Номер 26(20)

Опубликована: Авг. 28, 2024

Honeycombs are widely used in engineering protection, while the gap between peak and mean stresses remains to be narrowed, interaction effects among walls weak. To break these limits, gradient curved‐walled honeycombs have been proposed recently. However, their in‐plane crashworthiness has never studied, which restricts actual applications complex load environment. For this purpose, article adopts experiments, finite‐element simulations, theoretical analysis reveal crash performance of honeycombs. Quasistatic dynamic experiments carried out for 3D‐printed honeycomb specimens made 316L stainless steel, numerical simulations conducted by ABAQUS/Explicit. Compared traditional straight‐ honeycombs, display stabler deformation mode more efficient mechanical response. Their EA SEA respectively 25.5% 6.4% larger than straight‐walled energy absorption force efficiencies nearly 2.4 5.3 times larger, respectively. On basis, plastic hinge model with high accuracy established, derive analytical solutions force–displacement relations. This work extends comprehensive properties application prospects sets an example develop effective simplification desirable on complex‐shaped structures.

Язык: Английский

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A novel 3D auxetic meta-structure based on enhanced hexa-missing rib honeycomb

Engineering Structures, Год журнала: 2024, Номер 326, С. 119597 - 119597

Опубликована: Дек. 30, 2024

Язык: Английский

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Analysis and Prediction of Grouting Reinforcement Performance of Broken Rock Considering Joint Morphology Characteristics

Mathematics, Год журнала: 2025, Номер 13(2), С. 264 - 264

Опубликована: Янв. 15, 2025

In tunnel engineering, joint shear slip caused by external disturbances is a key factor contributing to landslides, instability of surrounding rock masses, and related hazards. Therefore, accurately characterizing the macromechanical properties joints essential for ensuring engineering safety. Given significant influence morphology on mechanical behavior, this study employs frequency spectrum fractal dimension (D) domain amplitude integral (Rq) as quantitative descriptors morphology. Using Fourier transform techniques, reconstruction method developed model with arbitrary shape characteristics. The numerical calibrated through 3D printing direct tests. Systematic parameter analysis validates selected indices effective Furthermore, multiple machine learning algorithms are employed construct robust predictive model. Machine learning, recognized rapidly advancing field, plays pivotal role in data-driven applications due its powerful analytical capabilities. study, six algorithms—Random Forest (RF), Support Vector Regression (SVR), BP Neural Network, GA-BP Genetic Programming (GP), ANN-based MCD—are evaluated using 300 samples. performance each algorithm assessed comparative their accuracy based correlation coefficients. results demonstrate that all achieve satisfactory performance. Notably, Random (RF) excels rapid accurate predictions when handling similar training data, while MCD consistently delivers stable precise across diverse datasets.

Язык: Английский

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Analysis of the failure mechanism of Thin-Walled grouting rings and optimization of uniform Open-Loop behavior

Engineering Failure Analysis, Год журнала: 2025, Номер unknown, С. 109392 - 109392

Опубликована: Фев. 1, 2025

Язык: Английский

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Energy absorption of 3D assembled auxetic meta-structure with compression-twisting effect

Structures, Год журнала: 2025, Номер 73, С. 108482 - 108482

Опубликована: Фев. 21, 2025

Язык: Английский

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On the design and in-plane crashworthiness of a novel extendable assembled auxetic honeycomb

Thin-Walled Structures, Год журнала: 2025, Номер unknown, С. 113123 - 113123

Опубликована: Фев. 1, 2025

Язык: Английский

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