[HTML][HTML] Nature's Load-Bearing Design Principles and Their Application in Engineering: A Review
F Breish, C Hamm, S Andresen - Biomimetics, 2024 - mdpi.com
Biological structures optimized through natural selection provide valuable insights for
engineering load-bearing components. This paper reviews six key strategies evolved in …
engineering load-bearing components. This paper reviews six key strategies evolved in …
[HTML][HTML] Deep learning with multilayer perceptron for optimizing the heat transfer of mixed convection equipped with MWCNT-water nanofluid
In the modern era, Artificial Intelligence (AI) has emerged as a powerful tool that can rapidly
generate highly accurate data, offering tremendous potential for optimizing system …
generate highly accurate data, offering tremendous potential for optimizing system …
Crashworthiness evaluation and optimization of full polypropylene sandwich tubes under low-velocity impact based on machine learning algorithms
The performance of traditional single and multi-cell tubular energy absorbers was enhanced
through the design of a polypropylene tube inspired by biological structures such as …
through the design of a polypropylene tube inspired by biological structures such as …
Crushing analysis of square gradient hierarchical multicellular tubes
J Qian, X Deng, Y Hou - Mechanics of Advanced Materials and …, 2024 - Taylor & Francis
Inspired by tree fractals, a novel square gradient hierarchical multicellular tube (SGHMT) is
proposed, and a finite element (FE) model of the structure is constructed using …
proposed, and a finite element (FE) model of the structure is constructed using …
Crashworthiness of hierarchical multi-cell square tubes under axial and oblique crushing
Hierarchical tubes have been proved to be excellent energy absorbers under axial
compression. However, there are limited studies exploring their oblique crushing …
compression. However, there are limited studies exploring their oblique crushing …
Flexural analysis of 3D-printed sandwich beams with chiral cores using deep neural networks and response surface methodology
S Kamarian, A Khalvandi, E Heidarizadi… - Mechanics of …, 2024 - Taylor & Francis
Abstract This study employed Deep Neural Networks (DNNs) and Response Surface
Methodology (RSM) for flexural analysis of 3D-printed sandwich beams with chiral cores …
Methodology (RSM) for flexural analysis of 3D-printed sandwich beams with chiral cores …
Crashworthiness properties of square hierarchical multicellular tube under axial impact
S Xu, X Deng, H Huang, F Yang - Mechanics of Advanced …, 2024 - Taylor & Francis
A new square hierarchical multicellular tube design is introduced, and the crashworthiness
of various square hierarchical multicellular tubes with identical wall thickness and mass is …
of various square hierarchical multicellular tubes with identical wall thickness and mass is …
On the crashworthiness of novel right-angle fractal gradient hierarchical multi-cell bi-tubular tubes under axial loading
J Qian, X Deng, Y Hou - Mechanics of Advanced Materials and …, 2024 - Taylor & Francis
To achieve a thin-walled structure with enhanced crashworthiness, inspired by tree fractals,
a new right-angle fractal of gradient hierarchical multi-cellular square bi-tubular tube …
a new right-angle fractal of gradient hierarchical multi-cellular square bi-tubular tube …
Calculating transmembrane voltage on the electric pulse-affected cancerous cell membrane: using molecular dynamics and finite element simulations
S Mirshahi, B Vahedi, SO Yazdani, M Golab… - Journal of Molecular …, 2024 - Springer
Context Electroporation is a technique that creates electrically generated pores in the cell
membrane by modifying transmembrane potential. In this work, the finite element method …
membrane by modifying transmembrane potential. In this work, the finite element method …
Multi-objective process parameters optimization of laser repairing steel plate in pressure vessels using machine learning
K Fan, Y Shi, C Zhuang, S Wang, Q Wang… - Mechanics of …, 2024 - Taylor & Francis
Laser cladding (LC) is an additive manufacturing technology, and it is often used to repair
damaged parts. This study uses machine learning to optimize the process parameters for LC …
damaged parts. This study uses machine learning to optimize the process parameters for LC …