scholarly journals A multi-scale modelling framework combining musculoskeletal rigid-body simulations with adaptive finite element analyses, to evaluate the impact of femoral geometry on hip joint contact forces and femoral bone growth

PLoS ONE ◽  
2020 ◽  
Vol 15 (7) ◽  
pp. e0235966 ◽  
Author(s):  
Hans Kainz ◽  
Bryce Adrian Killen ◽  
Mariska Wesseling ◽  
Fernando Perez-Boerema ◽  
Lorenzo Pitto ◽  
...  
Keyword(s):  
Bone Growth ◽  
Contact Forces ◽  
Adaptive Finite Element ◽  
Finite Element Analyses ◽  
Multi Scale ◽  
Modelling Framework ◽  
Femoral Geometry ◽  
Scale Modelling ◽  
Joint Contact ◽  
The Impact

scholarly journals Effects of catalyst agglomerate shape in polymer electrolyte fuel cells investigated by a multi-scale modelling framework

Energy ◽  
2017 ◽  
Vol 122 ◽  
pp. 420-430 ◽  
Author(s):  
M.S. Ismail ◽  
D.B. Ingham ◽  
L. Ma ◽  
K.J. Hughes ◽  
M. Pourkashanian
Keyword(s):  
Fuel Cells ◽  
Polymer Electrolyte ◽  
Polymer Electrolyte Fuel Cells ◽  
Multi Scale ◽  
Modelling Framework ◽  
Scale Modelling

Study of the Combined Temperature, Rate, and Size Effects on the Tungsten Crystalline Block Strength

2005 ◽  
Vol 219 (3) ◽  
pp. 111-122
Author(s):  
L Shen ◽  
Z Chen
Keyword(s):  
Material Properties ◽  
Temperature Effects ◽  
Effective Means ◽  
Temperature Dependent ◽  
Spatial And Temporal Scales ◽  
Multi Scale ◽  
Modelling Framework ◽  
Scale Modelling ◽  
Different Temperatures ◽  
Temperature Rate

Understanding the responses of materials of different sizes at various temperatures and strain rates is essential to evaluating the integrity and safety of microelectromechanical and nanoelectromechanical system devices under extreme loading conditions. Although material properties are size, rate, and temperature dependent in nature, little has been achieved in investigating the combined specimen size, loading rate, and temperature effects on the material properties. Based on the experimental and computational capabilities available, therefore, an attempt is made in this paper to formulate a hypersurface in spatial, temporal, and thermal domains to predict the combined size, rate, and temperature effects on the material properties of a tungsten crystalline block. It appears from the preliminary results that the proposed procedure might provide an effective means of bridging different spatial and temporal scales in a unified multi-scale modelling framework at different temperatures.

scholarly journals A theoretical framework for transitioning from patient-level to population-scale epidemiological dynamics: influenza A as a case study

2020 ◽  
Vol 17 (166) ◽  
pp. 20200230 ◽  
Author(s):  
W. S. Hart ◽  
P. K. Maini ◽  
C. A. Yates ◽  
R. N. Thompson
Keyword(s):  
Cohort Studies ◽  
Influenza A ◽  
Multi Scale ◽  
Patient Level ◽  
Modelling Framework ◽  
Level Data ◽  
Scale Models ◽  
Scale Modelling ◽  
Population Scale

Multi-scale epidemic forecasting models have been used to inform population-scale predictions with within-host models and/or infection data collected in longitudinal cohort studies. However, most multi-scale models are complex and require significant modelling expertise to run. We formulate an alternative multi-scale modelling framework using a compartmental model with multiple infected stages. In the large-compartment limit, our easy-to-use framework generates identical results compared to previous more complicated approaches. We apply our framework to the case study of influenza A in humans. By using a viral dynamics model to generate synthetic patient-level data, we explore the effects of limited and inaccurate patient data on the accuracy of population-scale forecasts. If infection data are collected daily, we find that a cohort of at least 40 patients is required for a mean population-scale forecasting error below 10%. Forecasting errors may be reduced by including more patients in future cohort studies or by increasing the frequency of observations for each patient. Our work, therefore, provides not only an accessible epidemiological modelling framework but also an insight into the data required for accurate forecasting using multi-scale models.

scholarly journals A multi-scale modelling framework to guide management of plant invasions in a transboundary context

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
João Martins ◽  
David M. Richardson ◽  
Renato Henriques ◽  
Elizabete Marchante ◽  
Hélia Marchante ◽  
...  
Keyword(s):  
Plant Invasions ◽  
Multi Scale ◽  
Modelling Framework ◽  
Scale Modelling

Modeling of Tread Block Contact Mechanics Using Linear Viscoelastic Theory3

2008 ◽  
Vol 36 (3) ◽  
pp. 211-226 ◽  
Author(s):  
F. Liu ◽  
M. P. F. Sutcliffe ◽  
W. R. Graham
Keyword(s):  
High Speed ◽  
Slip Rate ◽  
Material Model ◽  
Contact Forces ◽  
Block Modeling ◽  
Rate Dependent ◽  
Linear Viscoelastic Material ◽  
Linear Viscoelastic ◽  
The Impact ◽  
Good Agreement

Abstract In an effort to understand the dynamic hub forces on road vehicles, an advanced free-rolling tire-model is being developed in which the tread blocks and tire belt are modeled separately. This paper presents the interim results for the tread block modeling. The finite element code ABAQUS/Explicit is used to predict the contact forces on the tread blocks based on a linear viscoelastic material model. Special attention is paid to investigating the forces on the tread blocks during the impact and release motions. A pressure and slip-rate-dependent frictional law is applied in the analysis. A simplified numerical model is also proposed where the tread blocks are discretized into linear viscoelastic spring elements. The results from both models are validated via experiments in a high-speed rolling test rig and found to be in good agreement.

Multi-scale modelling of woven carbon fibre reinforced epoxy

2021 ◽  
Author(s):  
Alexandru Szabo ◽  
Radu Negru ◽  
Alexandru-Viorel Coşa ◽  
Liviu Marşavina ◽  
Dan-Andrei Şerban
Keyword(s):  
Carbon Fibre ◽  
Multi Scale ◽  
Scale Modelling
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