Results 71 to 80 of about 94,810 (281)

Does Long‐Term Lower Extremity Strength Training in Adults With Knee Osteoarthritis and Varus Alignment Reduce Knee Joint Loading During Gait?

Arthritis Care &Research, EarlyView.
Objective We examined whether 18 months of strength training in individuals with knee varus alignment and medial tibiofemoral osteoarthritis (OA) reduced knee joint loads during walking compared to an attention control group. Methods This study was a secondary analysis of a randomized clinical trial that compared the effects of strength training to a ...
Stephen P. Messier, Matthew N. Vigliotti, Paige E. Rice, Brian Pietrosimone, Shannon L. Mihalko, Edward H. Ip, Richard F. Loeser, David J. Hunter, Ali Guermazi, Ryan Hill, Santiago Saldana, Kim L. Bennell, Paul DeVita   +12 more
wiley   +1 more source

Assessing the Role of Longitudinal Variability of Vertical Track Stiffness in the Long-Term Deterioration

, 2016
The performance of the railway system in terms of dynamic loading is depending mainly on the track support conditions. Usually, the track stiffness is used as the main parameter to describe the support conditions and is defined as the ratio of the load ...
Grossoni, I., Andrade, A. R., Ramos Andrade, Antonio, Grossoni, Ilaria, Bezin, Y., Bezin, Yann   +5 more
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Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Importance of geotechnical diagnosis in railway management: A review

Transportation Engineering
Railway tracks, like all civil works, experience degradation after being put into service, thus losing their initial design conditions. This degradation manifests itself mainly through misalignment and specific deterioration mechanisms of each component,
Jorge Rojas Vivanco, Pierre Breul, Aurélie TALON, Miguel Angel Benz-Navarrete, Sébastien Barbier, Younes Haddani   +5 more
doaj   +1 more source

Smartphone’s Sensing Capabilities for On-Board Railway Track Monitoring: Structural Performance and Geometrical Degradation Assessment

Advances in Civil Engineering, 2019
Railway infrastructure managers run dedicated inspection vehicles to monitor the geometric quality of the track (among other aspects) to detect irregularities and ensure safe running conditions of railway lines, in accordance with specific regulations ...
André Paixão, Eduardo Fortunato, Rui Calçada   +2 more
doaj   +1 more source

Prediction of track geometry degradation using artificial neural network: a case study

, 2022
The aim of this study has been to predict the track geometry degradation rate using artificial neural network. Tack geometry measurements, asset information, and maintenance history for five line sections from the Swedish railway network were collected ...
Latifi Jebelli, Mohammad Javad,, Nissen, Arne,, Ahmadi, Alireza,, Haddadzade, Mohammad,, Khajehei, Hamid,, Soleimanmeigouni, Iman,   +5 more
core   +1 more source

On the Lightweight Potential of Laser Additive Manufactured NiTi Triply Periodic Minimal Sheet Lattices

Advanced Engineering Materials, EarlyView.
This study explores the lightweight potential of laser additive‐manufactured NiTi triply periodic minimal surface sheet lattices. It systematically investigates the effects of relative density and unit cell size on surface quality, deformation recovery, compression behavior, and energy absorption.
Haoming Mo, Shuo Qu, Shiming Gao, Xu Song   +3 more
wiley   +1 more source

Degradation Trend Prognostics for Rolling Bearing Using Improved R/S Statistic Model and Fractional Brownian Motion Approach

IEEE Access, 2018
Fractional order characteristics (FOCs) have been shown to be useful in the predict degradation trend of rotating machinery. In this paper, a novel prognostics methodology based on improved R/S statistic and fractional Brownian motion (FBM) for rolling ...
Qing Li, Steven Y. Liang
doaj   +1 more source

State-of-the-art : track degradation at bridge transitions

, 2013
Transition zones between bridge decks and rail tracks suffer early failure due to poor interaction between rail vehicles and sudden changes of stiffness. This has been an ongoing problem to rail industry and yet still no systematic studies appear to have
Gallage, Chaminda, Dareeju, Biyanvilage, Dhanasekar, Manicka   +2 more
core  

Model for track degradation due to geometry defects [PDF]

, 2016
The most common causes of degradation of the track are uneven settling of the track due to inhomogeneity of the base, inadequate maintenance, poor state of the upper and lower structure, etc.
Srebot, Primož
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