Kinematotropic linkage-based cellular metamaterials with bifurcation motion: Construction and analysis DOI
Yongquan Li,

Haojie Huang,

Yiwen Liu

et al.

International Journal of Mechanical Sciences, Journal Year: 2024, Volume and Issue: 279, P. 109487 - 109487

Published: Oct. 1, 2024

Language: Английский

Design and Kinematic Analysis of Origami Honeycomb Metamaterials with One-DOF Radial Motion DOI
Haojie Huang, Jinlong Jiang,

Yongquan Li

et al.

Thin-Walled Structures, Journal Year: 2025, Volume and Issue: unknown, P. 112978 - 112978

Published: Jan. 1, 2025

Language: Английский

Citations

2
Transfer Learning-Enhanced Finite Element-Integrated Neural Networks DOI Creative Commons
Ning Zhang, Kunpeng Xu, Zhen‐Yu Yin

et al.

International Journal of Mechanical Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 110075 - 110075

Published: Feb. 1, 2025

Language: Английский

Citations

2
Multistable bi-modulus Kresling origami with superior foldability and stiffness: An analytical design model DOI Creative Commons
Mingjin Cao, Li‐Qun Chen, Shaoyu Zhao

et al.

Engineering Structures, Journal Year: 2025, Volume and Issue: 330, P. 119955 - 119955

Published: Feb. 27, 2025

Language: Английский

Citations

2
Energy absorption performance of Kresling origami tubes under impact loading DOI
Wei Qiang,

Haoxuan Feng,

Tuo Zhou

et al.

International Journal of Mechanical Sciences, Journal Year: 2024, Volume and Issue: 282, P. 109682 - 109682

Published: Aug. 29, 2024

Language: Английский

Citations

12
Axial-offset magnetic negative stiffness spring with high density and linearity DOI
Ruiqi Gao, Jixing Che,

Mingkai Wu

et al.

International Journal of Mechanical Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 109989 - 109989

Published: Jan. 1, 2025

Language: Английский

Citations

1
An inverse design framework for optimizing tensile strength of composite materials based on a CNN surrogate for the phase field fracture model DOI Creative Commons
Yuxiang Gao, Ravindra Duddu, Soheil Kolouri

et al.

Composites Part A Applied Science and Manufacturing, Journal Year: 2025, Volume and Issue: unknown, P. 108758 - 108758

Published: Feb. 1, 2025

Language: Английский

Citations

1
A Physics-Informed Neural Network framework to investigate nonlinear and heterogenous shrinkage of drying plant cells DOI Creative Commons

Chanaka Batuwatta-Gamage,

Charith Rathnayaka, H.C.P. Karunasena

et al.

International Journal of Mechanical Sciences, Journal Year: 2024, Volume and Issue: 275, P. 109267 - 109267

Published: April 7, 2024

This paper introduces a novel Physics-Informed Neural Network-based (PINN-based) multi-domain computational framework to analyse nonlinear and heterogeneous morphological variations of plant cells during drying. Here, two distinct models are involved: PINN-MT simulate mass transfer; PINN-NS shrinkage. The coupled examine cellular changes resulting from moisture loss Firstly, the framework, in tandem with homogeneous conditions, operates parallel, allowing mutual parameters update between models. approach demonstrates ability approximate shrinkage within tissue, factoring influence surrounding cells. Secondly, non-uniform cell wall properties boundary conditions incorporated into this through domain decomposition. Inherent capabilities neural networks allow for seamless integration multiple domains, additional terms introduced at interfaces. shows capacity account drastic even under extreme drying which is key novelty has been challenging task existing traditional methods. Hence, proposed offers an innovative avenue understanding not only cells, but also soft matter general.

Language: Английский

Citations

5
Physics-informed deep learning for structural dynamics under moving load DOI
Ruihua Liang, Weifeng Liu, Yuguang Fu

et al.

International Journal of Mechanical Sciences, Journal Year: 2024, Volume and Issue: unknown, P. 109766 - 109766

Published: Oct. 1, 2024

Language: Английский

Citations

5
Quantification of gradient energy coefficients using physics-informed neural networks DOI
Lan Shang, Yunhong Zhao, Sizheng Zheng

et al.

International Journal of Mechanical Sciences, Journal Year: 2024, Volume and Issue: 273, P. 109210 - 109210

Published: March 25, 2024

Language: Английский

Citations

4
Embedding Physics Information into Neural Networks to Enhance the Accuracy of Star-Shaped Elastic Metamaterial Design DOI Creative Commons
Jincheng He, Tao Chen, Gen Li

et al.

Physics Letters A, Journal Year: 2025, Volume and Issue: unknown, P. 130213 - 130213

Published: Jan. 1, 2025

Language: Английский

Citations

0