The Model Fidelity Hierarchy: From Text to Conceptual, Computational, and Executable Model

2020 ◽  
pp. 1-12
Author(s):  
Natali Levi-Soskin ◽  
Ahmad Jbara ◽  
Dov Dori
2021 ◽  
Vol 11 (5) ◽  
pp. 2037
Author(s):  
Benjamin J. Fregly

The ultimate goal of most neuromusculoskeletal modeling research is to improve the treatment of movement impairments. However, even though neuromusculoskeletal models have become more realistic anatomically, physiologically, and neurologically over the past 25 years, they have yet to make a positive impact on the design of clinical treatments for movement impairments. Such impairments are caused by common conditions such as stroke, osteoarthritis, Parkinson’s disease, spinal cord injury, cerebral palsy, limb amputation, and even cancer. The lack of clinical impact is somewhat surprising given that comparable computational technology has transformed the design of airplanes, automobiles, and other commercial products over the same time period. This paper provides the author’s personal perspective for how neuromusculoskeletal models can become clinically useful. First, the paper motivates the potential value of neuromusculoskeletal models for clinical treatment design. Next, it highlights five challenges to achieving clinical utility and provides suggestions for how to overcome them. After that, it describes clinical, technical, collaboration, and practical needs that must be addressed for neuromusculoskeletal models to fulfill their clinical potential, along with recommendations for meeting them. Finally, it discusses how more complex modeling and experimental methods could enhance neuromusculoskeletal model fidelity, personalization, and utilization. The author hopes that these ideas will provide a conceptual blueprint that will help the neuromusculoskeletal modeling research community work toward clinical utility.


Meccanica ◽  
2021 ◽  
Author(s):  
J. Jansson ◽  
K. Salomonsson ◽  
J. Olofsson

AbstractIn this paper we present a semi-multiscale methodology, where a micrograph is split into multiple independent numerical model subdomains. The purpose of this approach is to enable a controlled reduction in model fidelity at the microscale, while providing more detailed material data for component level- or more advanced finite element models. The effective anisotropic elastic properties of each subdomain are computed using periodic boundary conditions, and are subsequently mapped back to a reduced mesh of the original micrograph. Alternatively, effective isotropic properties are generated using a semi-analytical method, based on averaged Hashin–Shtrikman bounds with fractions determined via pixel summation. The chosen discretization strategy (pixelwise or partially smoothed) is shown to introduce an uncertainty in effective properties lower than 2% for the edge-case of a finite plate containing a circular hole. The methodology is applied to a aluminium alloy micrograph. It is shown that the number of elements in the aluminium model can be reduced by $$99.89\%$$ 99.89 % while not deviating from the reference model effective material properties by more than $$0.65\%$$ 0.65 % , while also retaining some of the characteristics of the stress-field. The computational time of the semi-analytical method is shown to be several orders of magnitude lower than the numerical one.


2011 ◽  
Vol 56 (3) ◽  
pp. 154-160 ◽  
Author(s):  
Maaike D van Vugt ◽  
Hans Kroon ◽  
Philippe A E G Delespaul ◽  
Fred G Dreef ◽  
Annet Nugter ◽  
...  

AIAA Journal ◽  
2018 ◽  
Vol 56 (12) ◽  
pp. 5028-5032 ◽  
Author(s):  
Brent A. Miller ◽  
Jack J. McNamara
Keyword(s):  

2007 ◽  
Vol 54 (S1) ◽  
pp. 43960-43960
Author(s):  
Deven Chandra ◽  
Viren Naik ◽  
Hwan Joo ◽  
I. D. Weiss ◽  
G. L. Savoldelli

Author(s):  
Kenneth M. Kratzer ◽  
J C. Helmuth ◽  
Kari C. Ward ◽  
Kyle J. DeMars
Keyword(s):  

2022 ◽  
Author(s):  
Sofia Schön ◽  
Ludvig Knöös Franzén ◽  
Carina Marcus ◽  
Kristian Amadori ◽  
Christopher Jouannet ◽  
...  

2021 ◽  
Author(s):  
Timo Kelder ◽  
Louise Slater ◽  
Tim Marjoribanks ◽  
Rob Wilby ◽  
Christel Prudhomme ◽  
...  

<p>Large ensembles of climate model simulations may be used to assess the likelihood of extreme events, which only have a limited chance of occurring in observed records. In this talk, we discuss how the ECMWF seasonal prediction system SEAS5 can be used to generate a 100-member ensemble over 1981-present. SEAS5 is a global coupled ocean, sea-ice, atmosphere model with a horizontal resolution of 36 km. We introduce an open and reproducible workflow to retrieve Copernicus SEAS5 data and evaluate the ensemble member independence, model stability, and model fidelity. We illustrate how the increased sample size may help risk estimation, detecting trends in 100-year extremes as well as analysing drivers of extreme events that are difficult to discern from limited observational records.</p>


2019 ◽  
Vol 188 ◽  
pp. 106268 ◽  
Author(s):  
Jørgen Bremnes Nielsen ◽  
Endre Sandvik ◽  
Eilif Pedersen ◽  
Bjørn Egil Asbjørnslett ◽  
Kjetil Fagerholt

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