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Is Tribology Approaching Its Golden Age? Grand Challenges in Engineering Education and Tribological Research

Submitted by Mike Ciavarella on

An interesting paper by VL Popov which suggests many problems of tribology are still very far from being remotely solved.  Despite the very detailed theories for example on rough contact using fractal surfaces on which we have debated mainly academically , there is not a single theory for any quantitative prediction of friction coefficient which can vary by 1 order of magnitude and its dependence on many variables, let alone wear coefficient which can vary up to 7 orders of magnitude.  What is left to do, other than measure?   Is tribology bound to be in practice just an

The Relation Between Mindlin's Strain Gradient and Eringen's Nonlocal Linear Elasticity Theories

Submitted by Hosein Rahnama on

Here are some definitions which I have in my mind about the hierarchy of field theories of any kind. Please read them and correct me if there is any misunderstanding. Then I shall raise two questions based on this model of thought about the Mindlin's strain gradient and Eringen's nonlocal linear elasticity theories.

Definition 1. Two field theories are the same if and only if the field equations of one can be obtained from the other.

Fracture mechanism in notched metal

Submitted by Jabar on
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G'day all

Having a metal element with a notch like crack (assume sharp one, exhibits plasticity),  what are the actual fracture mechanism (the phases the crack goes through) in the total fatigue-life. 

please comment on these scenarios:

1- crack initiation life calculated from the (S-N, e-N), then using LEFM/EPFM to determine the cycles for the crack propagation to failure...

Q/ how to find the crack length between the two phases, I mean from which stresses and at which crack length we start the crack propagation life estimation.

Book Review On: Extending the Theory of Composites to Other Areas of Science; Author: Graeme Walter Milton

Submitted by Pradeep Sharma on

We would be hard-pressed to find an area of research that permeates so deeply in nearly all branches of physical sciences and mathematics as does the topic of homogenization [1].

Is machine learning a research priority now in mechanics?

Submitted by Mingchuan Wang on

Hi all,

I  know that the study and application of machine learning/artificial intelligence are somehow popular nowadays, in a general academia. I happen to be interested in that. I found people use this tool to predict crystal structure in material science, to characterize molecule structure in chemistry. The first impression is that the machanince learning helps to deal with the raw data, to constitute empirical models etc. However, there are not as many published works as I imagine, on the application of machine learning in mechanics.

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