Dynamic Behavior and Energy Absorption of Typical Porous Materials under Impacts DOI Open Access

Kui Xie,

Menglong Li, Jianghua Shen

et al.

Materials, Journal Year: 2024, Volume and Issue: 17(20), P. 5035 - 5035

Published: Oct. 15, 2024

Porous materials are known for their excellent energy absorption capability and, thus, widely used in anti-impact applications. However, how the pore shape and size impact failure mechanism overall behavior of porous under loading is still unclear or limitedly touched. Instead using homogeneous solids material model, pores with various shapes sizes were implanted a solid to establish that have true structures, which permits exploration local mechanism. The results revealed differently shaped holes two different dominant deformation modes. And due stress distributions, they enter plastic phase earlier higher specific absorption. Meanwhile, model changes from hardening quasi-zero stiffness as hole increases. application this work can be extended into field resistance.

Language: Английский

Machine learning-based mechanical performance prediction and design of lattice structures DOI
Yifan Liu, Wei Huang, Zhiyong Wang

et al.

International Journal of Mechanical Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 110230 - 110230

Published: April 1, 2025

Language: Английский

Citations

1
Deep-learning-based generative design for optimal reactive silencers DOI

Byung Hun An,

Jin Woo Lee

International Journal of Mechanical Sciences, Journal Year: 2024, Volume and Issue: unknown, P. 109736 - 109736

Published: Sept. 1, 2024

Language: Английский

Citations

4
Layup optimization of composite B-pillar under side impact DOI
Wenbin Hou, Mengdi Li,

Yan Yang

et al.

International Journal of Mechanical Sciences, Journal Year: 2025, Volume and Issue: 287, P. 109927 - 109927

Published: Jan. 6, 2025

Language: Английский

Citations

0
In-plane and out-of-plane compressive performance of bio-inspired 3 rinted strain-hardening cementitious composite lattice structures DOI Creative Commons
Guoqiang Du, Yan Sun, Ye Qian

et al.

Cement and Concrete Composites, Journal Year: 2025, Volume and Issue: unknown, P. 106070 - 106070

Published: March 1, 2025

Language: Английский

Citations

0
An advanced deep learning approach for energy absorption prediction in porous metals across diverse strain rate scenarios DOI
Minghai Tang, Lei Wang,

Jiangshan Song

et al.

Computational Materials Science, Journal Year: 2025, Volume and Issue: 253, P. 113862 - 113862

Published: April 5, 2025

Language: Английский

Citations

0
Predicting Strain Effects on Adsorption Energy Based on Atomistic Structure and Density of States DOI

Zhiwen Bai,

Ming-Cong Lan,

Wenshan Yu

et al.

International Journal of Mechanical Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 110234 - 110234

Published: April 1, 2025

Language: Английский

Citations

0
The Optimal Design of an Inclined Porous Plate Wave Absorber Using an Artificial Neural Network Model DOI Creative Commons

Senthil Kumar Natarajan,

S. Cho,

Il‐Hyoung Cho

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(9), P. 4895 - 4895

Published: April 28, 2025

This study seeks to optimize the shape of a wave absorber with an inclined porous plate using artificial neural network (ANN) model improve operating efficiency and experimental accuracy square basin. As our numerical tool, we employed dual boundary element method (DBEM) avoid rank deficiency problem occurring at degenerate zero thickness. A quadratic velocity incorporating CFD-based drag coefficient was account for energy dissipation across plate. The developed DBEM tool validated through comparisons self-conducted experiments in two-dimensional flume. input features such as angle length affect performance absorber. These have been optimized minimize averaged reflection installation space (spatial footprint) application trained ANN model. dataset used training created subsequently utilized predict larger dataset, aiding determination optimal design. In optimization process minimizing both reflected waves spatial footprint, weighting factors are assigned according their relative importance each other, weighted sum (WSM) within multi-criteria decision-making framework. It found that design parameters non-dimensional (l/h) (θ) 1.46 5.34° when performing factor ratio (80%: 20%) between footprint.

Language: Английский

Citations

0
Deep Learning Based Multi-Cavity Blade Tip Seal Optimization DOI
Shuang Sun,

Xiaopeng Sun,

Boyu Kuang

et al.

International Journal of Mechanical Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 110338 - 110338

Published: May 1, 2025

Language: Английский

Citations

0
Data-Driven Design of Three-Dimensional Periodic Piezoelectric Structures Based on High-Throughput Calculations DOI
Pengwei Liu, Wenbo Zhao, Zhuo Wang

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Dynamic Behavior and Energy Absorption of Typical Porous Materials under Impacts DOI Open Access

Kui Xie,

Menglong Li, Jianghua Shen

et al.

Materials, Journal Year: 2024, Volume and Issue: 17(20), P. 5035 - 5035

Published: Oct. 15, 2024

Porous materials are known for their excellent energy absorption capability and, thus, widely used in anti-impact applications. However, how the pore shape and size impact failure mechanism overall behavior of porous under loading is still unclear or limitedly touched. Instead using homogeneous solids material model, pores with various shapes sizes were implanted a solid to establish that have true structures, which permits exploration local mechanism. The results revealed differently shaped holes two different dominant deformation modes. And due stress distributions, they enter plastic phase earlier higher specific absorption. Meanwhile, model changes from hardening quasi-zero stiffness as hole increases. application this work can be extended into field resistance.

Language: Английский

Citations

0