Results 121 to 130 of about 24,798 (283)

Robust Linearization and Eigenvalue Analysis of General Complex Constrained Multibody Systems

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT The derivation of linearized equations and subsequent eigenvalue analysis is the basis for tasks such as frequency‐domain response analysis, control design, and stability assessment for mechanical systems. However, for general multibody systems with redundant or nonholonomic constraints, practical challenges persist in achieving numerically ...
Zhiwen Xiao, Gexue Ren
wiley   +1 more source

The Application of Model Order Reduction Methods to a Linear Cross-Diffusion Model

Journal of Mathematical Sciences and Modelling
This work investigates reduced-order modelling (ROM) strategies for the Brusselator system, a linear cross-diffusion framework with applications in chemical and biological systems.
Gülden Mülayim
doaj   +1 more source

Capturing Complex Rate‐Dependent Behaviors of Saturated Clays: A Fractional Consistency Kinematic Hardening Viscoplastic Approach

International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT Saturated high plasticity clays show complex nonlinear, rate‐dependent, and hysteresis behaviors under non‐monotonic stress paths, requiring advanced mathematical constitutive equations for accurate description. Taking into account the inherent advantages of kinematic hardening mechanisms in simulating complex stress histories, this paper ...
Wei Cheng, Zhen‐Yu Yin
wiley   +1 more source

Kernel-Based Optimal Subspaces (KOS): A Method for Data Classification

Machine Learning and Knowledge Extraction
Support Vector Machine (SVM) is a popular kernel-based method for data classification that has demonstrated high efficiency across a wide range of practical applications.
Lakhdar Remaki
doaj   +1 more source

Elastoplasticity Informed Kolmogorov–Arnold Networks Using Chebyshev Polynomials

International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT Multilayer perceptron (MLP) networks are predominantly used to develop data‐driven constitutive models for granular materials. They offer a compelling alternative to traditional physics‐based constitutive models in predicting non‐linear responses of these materials, for example, elastoplasticity, under various loading conditions. To attain the
Farinaz Mostajeran, Salah A. Faroughi
wiley   +1 more source

Proteomic Profiling of Primary Hippocampal Neurons Reveals Noncanonical GFAP Expression and Metabolic Adaptations in Glia‐Free Culture

PROTEOMICS, EarlyView.
ABSTRACT Despite their widespread use as a research model, a comprehensive, quantitative proteomic profile of the cultured hippocampal neurons has remained unexplored. Here, we provide the first global proteomic characterization of primary murine hippocampal neurons cultured for 14 days under near‐physiological glucose conditions (2.5 mM).
Dominika Drulis‐Fajdasz, Kinga Gostomska‐Pampuch, Natalia Pudełko‐Malik, Mariusz Fleszar, Agnieszka Gizak, Jacek R. Wiśniewski, Dariusz Rakus   +6 more
wiley   +1 more source

Reduced‐Order Modeling of Energetic Materials Using Physics‐Aware Recurrent Convolutional Neural Networks in a Latent Space (LatentPARC)

Propellants, Explosives, Pyrotechnics, EarlyView.
Physics‐Aware Recurrent Convolutional Neural Networks (PARC) can reliably learn the thermomechanics of energetic materials as a function of morphology. This work introduces LatentPARC, which accelerates PARC by modeling the dynamics in a low‐dimensional latent space.
Zoë J. Gray, Joseph B. Choi, Youngsoo Choi, H. Keo Springer, H. S. Udaykumar, Stephen S. Baek   +5 more
wiley   +1 more source

A High-Order Proper Orthogonal Decomposition Dimensionality Reduction Compact Finite-Difference Method for Diffusion Problems

Mathematical and Computational Applications
An innovative high-order dimensionality reduction approach, which integrates a condensed finite-difference scheme with proper orthogonal decomposition techniques, has been explored for solving diffusion equations.
Wenqian Zhang, Hong Li
doaj   +1 more source

Tailoring Laser Powder Bed Fusion and Post‐Processing Parameters for JIS SKD61 Tool Steels: Surface Roughness, Microstructure, and Mechanical Properties

steel research international, EarlyView.
Laser powder bed fusion of JIS SKD61 tool steel is systematically optimized using a Taguchi design and ANOVA. Hatch spacing and layer thickness are identified as dominant parameters controlling surface roughness and tensile strength. Subsequent tempering at 600°C improves microstructural stability and mechanical performance, enabling high‐density SKD61
Masrurotin Masrurotin, Andi Ard Maidhah, Maziar Ramezani, Wojciech Macek, Cho‐Pei Jiang   +4 more
wiley   +1 more source

Multicrack Localization in Rotors Based on Proper Orthogonal Decomposition Using Fractal Dimension and Gapped Smoothing Method

Shock and Vibration, 2016
Multicrack localization in operating rotor systems is still a challenge today. Focusing on this challenge, a new approach based on proper orthogonal decomposition (POD) is proposed for multicrack localization in rotors.
Zhiwen Lu, Dawei Dong, Shancheng Cao, Huajiang Ouyang, Chunrong Hua   +4 more
doaj   +1 more source