numerical concept
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LISS2019 ◽  
2020 ◽  
pp. 273-283
Author(s):  
Ai Wang ◽  
Xuedong Gao ◽  
Minghan Yang

Author(s):  
Jaan Hui Pu

In this paper, a similarity concept is proposed to improve student understanding on difficult and complicated engineering theory. The planned application of this approach is for the Transportation Studies module (CSE6004-A) at School of Engineering, University of Bradford, United Kingdom. In the module, noise induced by road transport and vehicles are taught in depth, where the proposed teaching method will be applied to aid student understanding on the numerical concept of the vibration effect and noise on vehicle braking system. As part of the module planning, the full numerical solution of brake judder/vibration effect, which includes shaking (forced vibration) and nibbling (torsional vibration) effects will be introduced to students where similarity concept will be adapted in its teaching. The successfully applied concept will also be able to utilize by other engineering teaching and modules.


2017 ◽  
Author(s):  
Tobias Willeke ◽  
Maximilian Hellberg ◽  
Joerg R. Seume

2016 ◽  
Vol 89 (1) ◽  
pp. 156-173 ◽  
Author(s):  
Beth M. Casey ◽  
Caitlin M. Lombardi ◽  
Dana Thomson ◽  
Hoa Nha Nguyen ◽  
Melissa Paz ◽  
...  

Cognition ◽  
2012 ◽  
Vol 123 (2) ◽  
pp. 199-217 ◽  
Author(s):  
Steven T. Piantadosi ◽  
Joshua B. Tenenbaum ◽  
Noah D. Goodman

Author(s):  
Daniel Bremberg ◽  
Guido Dhondt

This paper presents a numerical concept for fatigue crack propagation computations, within the theory of the finite element method and the theory of linear elastic fracture mechanics, capable of automatic analysis of curved 3-D crack fronts and non-planar crack surfaces. The general modelling of fatigue crack growth and the present algorithm based on a remeshing technique are described. A comparison to existing analytical solutions for an embedded elliptical crack shows satisfying agreement and a fatigue crack growth analysis of a real-life component illustrates the framework applicability.


2009 ◽  
Vol 48 (4) ◽  
pp. 587-607
Author(s):  
Valentin Cojanu

The present-day epistemology of social science resembles a picture puzzle whose pieces are scattered to and fro across the vast domain of philosophical inquiry. This study attempts to assemble them in what appears to be a common thread of thinking for a necessary epistemic reconstruction, the historical specificity of social sciences. This understanding reveals itself as a method of validating truth in acknowledgement of three logical principles: (1) causality indeterminately becomes embedded in spatial—temporal distortions; (2) linear time is replaced by multiple, overlapping timescales, ‘multiple’ being a cultural rather than numerical concept; and (3) prediction remains associated with the least historical events, the particulars; that is, event-regularities normally specific for short periods of time.


2005 ◽  
Vol 8 (2) ◽  
pp. 139-143 ◽  
Author(s):  
J. M. Crolet ◽  
M. Racila ◽  
R. Mahraoui ◽  
A. Meunier

2001 ◽  
Vol 41 (4) ◽  
pp. 343-350 ◽  
Author(s):  
D. Holstein ◽  
L. Salbut ◽  
M. Kujawinska ◽  
W. Jüptner

Author(s):  
K. N. Otto ◽  
Kristin L. Wood

Abstract Numerical concept selection methods are used throughout industry to determine which among several design alternatives should be further developed. The results, however, are rarely believed at face value. Uncertainties (or errors) in subjective choices, modeling assumptions, and measurement are fundamental causes of this disbelief. This paper describes a methodology developed to predict overall error ranges, in addition to estimating a confidence measure in the numerical evaluation results. Each numerical assignment is given an associated error tolerance, and then treated as a probability error to create a simple means to propagate the uncertainties. A degree of confidence is also derived, similar to a statistical t-test, to indicate an induced confidence level in the final decision. Two preliminary concept selections are shown, to illustrate the methodology. Results from these concept selections indicate that (1) uncertainties can be suitably captured and quantified; (2) critical design questions are addressed during the process of numerical concept selection with error propagation; and (3) designers can make more informed and confident decisions through error estimation.


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