Results 41 to 50 of about 1,992 (226)
Polymer Composites, EarlyView.Overview of the holistic engineering lifecycle and core research pillars for wind turbine blades. ABSTRACT This paper reviews recent advancements across the lifecycle of wind turbine blades, focusing on three interconnected areas: advanced composites, structural optimization, and machine learning (ML) diagnostics. In materials, we highlight progress in
Kemal Hasirci +2 more
wiley +1 more source
, 2019 This paper deals with the use of quasi-Newton methods for dynamical simulations of nonlinear flexible multibody systems which are modelled using absolute nodal coordinate formulation (ANCF).
Radek Bulín +3 more
core +1 more source
Biological Reviews, Volume 101, Issue 3, Page 1406-1462, June 2026.ABSTRACT Oropharyngeal food processing exhibits a remarkable diversity among vertebrates, reflecting the evolution of specialised ‘processing centres’ associated with the mandibular, hyoid, and branchial arches. Although studies have detailed various food‐processing strategies and mechanisms across vertebrates, a coherent and comprehensive terminology ...
Daniel Schwarz +6 more
wiley +1 more source
Graph-Theoretic Approach for the Dynamic Simulation of Flexible Multibody Systems
Advances in Mechanical Engineering, 2012 This paper provides a general description of a variational graph-theoretic formulation for simulation of flexible multibody systems (FMSs) which includes a brief review of linear graph principles required to formulate this algorithm.
M. J. Richard, M. Bouazara
doaj +1 more source
Global modes for the reduction of flexible multibody systems [PDF]
Multibody System Dynamics, 2021 AbstractModeling a flexible multibody system employing the floating frame of reference formulation (FFRF) requires significant computational resources when the flexible components are represented through finite elements. Reducing the complexity of the governing equations of motion through component-level reduced-order models (ROM) can be an effective ...
openaire +2 more sources
Earthquake Engineering &Structural Dynamics, Volume 55, Issue 7, Page 1514-1532, June 2026.ABSTRACT The rapid development of new railway networks and the aging of existing infrastructure in seismic‐prone regions continue to motivate the need for efficient methods to simulate the dynamic behavior of coupled train track structure systems. While detailed train–structure interaction (TSI) models can capture complex mechanisms, they are often too
Miguel A. Gomez, Matthew J. DeJong
wiley +1 more source
Effects of Crosswind on Pantograph–Catenary Wear Using Nonlinear Multibody System Dynamic Algorithms
World Electric Vehicle Journal, 2023 In this study, a multibody system (MBS) computational framework is developed to determine the exact location of the contact point and wear prediction resulting from the pantograph–catenary interaction. The railroad vehicle models in the MBS computational
Siripong Daocharoenporn +1 more
doaj +1 more source
Robust Linearization and Eigenvalue Analysis of General Complex Constrained Multibody Systems
International Journal of Mechanical System Dynamics, Volume 6, Issue 2, Page 187-203, June 2026.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
An energy-momentum algorithm for flexible multibody systems with finite element techniques
Computer Assisted Methods in Engineering and Science, 2023 A unified approach for the treatment of the non-linear dynamics of multibody systems (MBS) composed of both rigid and elastic bodies is proposed. Large displacements and rotations, large strains and non-linear elastic material response are considered ...
Juan C. García Orden, Jose M. Goicolea
doaj
Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source