Results 51 to 60 of about 14,155,825 (292)

Flexural Behavior of 3D‐Printed Porous Bouligand‐Structured Polymers: Influence of Pitch Angle and Porosity

Advanced Engineering Materials, EarlyView.
This study examines how helicoidal architectures with different porosities respond to bending. Adjusting layer angle and spacing in 3D‐printed polymers reveals clear tradeoffs between stiffness, strength, and energy absorption. Experiments and simulations highlight designs that distribute stress effectively, offering pathways for optimizing lightweight
Praveenkumar Subhash Patil, Edward D. McCarthy, Parvez Alam   +2 more
wiley   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

The Inversion Method Applied to the Stress Field around a Deeply Buried Tunnel Based on Surface Strain

Applied Sciences, 2023
To identify the magnitude and direction of in situ stress in deeply buried tunnels, an inversion method for the stress field was proposed based on a finite number of measurement points of surface strain.
Xiaobing Yan, Qiqi Hao, Rui Yang, Jianyu Peng, Fengpeng Zhang, Sanyuan Tan   +5 more
doaj   +1 more source

Cluster-based generalized multiscale finite element method for elliptic PDEs with random coefficients [PDF]

Journal of Computational Physics, 2018
We propose a generalized multiscale finite element method (GMsFEM) based on clustering algorithm to study the elliptic PDEs with random coefficients in the multi-query setting. Our method consists of offline and online stages. In the offline stage, we construct a small number of reduced basis functions within each coarse grid block, which can then be ...
Eric T. Chung 0001, Yalchin Efendiev, Wing Tat Leung, Zhiwen Zhang 0001   +3 more
openaire   +2 more sources

Influence of Scan Strategies in Electron Beam Powder Bed Fusion on Solidification, Microstructure, and High‐Temperature Compressive Properties of γ′‐Strengthened Inconel 738LC

Advanced Engineering Materials, EarlyView.
Experiments and thermophysical simulations were conducted to investigate the electron beam powder bed fusion electron beam (PBF‐EB/M) process for the γ′‐strengthened nickel‐based superalloy Inconel 738LC. The results demonstrate the impact of process‐induced microstructural variations on high‐temperature mechanical behavior, providing a basis for ...
Jan Niklas Petenati, Karthik Kumar Banku, Prasanth Bondi, Ivan Zhirnov, Yangyiwei Yang, Gordon Schmidt, Jürgen Christen, Georg Hasemann, Manja Krüger, Bai‐Xiang Xu, Bilal Gökce, Silja‐Katharina Rittinghaus   +11 more
wiley   +1 more source

Higher order Perturbation Stochastic Finite Element Method of the Linear elastic Structure

工程科学与技术, 2014
:Computational precision and error control are very important to the numerical computation of the stochastic finite element method.Based on theory of random fields and perturbation finite element method,computational formulas of expected values and nth ...
廖光明, 陈兵, 王遂泸
doaj  

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

Advanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare, Y. Beideler, D. Chune, R. De Guio, T. Roland, H. Chibane   +5 more
wiley   +1 more source

Life Damage Online Monitoring Technology of a Steam Turbine Rotor Start-Up Based on an Empirical-Statistical Model

Technologies
In order to achieve fast and accurate life damage online monitoring of the steam turbine rotor, it was significant to propose an empirical-statistical model using a machine learning algorithm instead of finite element simulation to improve the effect of ...
Wenhe Liu, Baoguo Liang, Xuhui Wu, Mengmeng Yang, Zhihe Sun, Yucong Li, Mingze Yao, Zhanyang Xu, Feng Zhang   +8 more
doaj   +1 more source

Effects of soil spatial variability on structural reliability assessment in excavations

Underground Space, 2020
In this study, the effects of soil spatial variability in braced excavations are investigated by focusing on three structural responses: wall bending moments, wall shear forces, and strut forces. The soil spatial variability is modeled using random field
Zhe Luo, Honggui Di, Mehrad Kamalzare, Yixiang Li   +3 more
doaj   +1 more source

The Finite Element Method

, 2012
The finite element method has emerged as a universal method for the solution of differential equations. Much of the success of the finite element method can be attributed to its generality and elegance, allowing a wide range of differential equations ...
Logg, Anders,, Logg, Anders, Anders Logg, Kirby, Robert C., Robert C. Kirby   +4 more
core   +1 more source