Results 181 to 190 of about 89,406 (296)

Reduced order modelling of air‐puff test for corneal material characterisation

open access: yesJournal of Microscopy, EarlyView.
Abstract Models of the fluid–structure interaction (FSI) model for the air‐puff test were analysed. Using Abaqus, the air‐puff test is applied to eyes with varying biomechanical parameters, such as material properties, corneal thickness, and radius.
Osama M. Maklad, Muting Hao
wiley   +1 more source

Comparison of stress distribution around splinted and nonsplinted implants with different crown height space in posterior mandible: A finite element analysis study

open access: yesJournal of Prosthodontics, EarlyView.
Abstract Purpose The purpose of this finite element analysis (FEA) study was to analyze the stress distribution on prosthetic components of splinted and nonsplinted prostheses, bone, and implants with different crown height space (CHS). Materials and Methods Mandibular posterior segment was modeled with no resorption at the second premolar site and ...
Hamiyet Güngör Erdoğan   +2 more
wiley   +1 more source

Comparative Analysis of Three Vertebral Screw Placement Directions in Anterior Thoracolumbar Fracture Surgery: A Finite Element Study

open access: yesOrthopaedic Surgery, Volume 17, Issue 5, Page 1464-1477, May 2025.
This study compares the biomechanical effects of three anterior fixation systems in thoracolumbar surgery—HXTL, NHXTL, and Medtronic's CD Horizon ANTERIOR. Finite element analysis evaluates stress and displacement across vertebral bodies and support structures under varying load conditions. Results indicate the HXTL system minimizes nail–rod stress yet
Xuehai Jia   +7 more
wiley   +1 more source

Evaluation of Modeling Assumptions for Predicting Structural Damage and Train Derailment Under Earthquake Loading

open access: yesEarthquake 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

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