Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An even-load-distribution design for composite bolted joints using a
  novel circuit model and artificial neural networks   Due to the brittle feature of carbon fiber reinforced plastic laminates,
mechanical multi-joint within these composite components show uneven load
distribution for each bolt, which weaken the strength advantage of composite
laminates. In order to reduce this defect and achieve the goal of even load
distribution in mechanical joints, we propose a machine learning-based
framework as an optimization method. Since that the friction effect has been
proven to be a significant factor in determining bolt load distribution, our
framework aims at providing optimal parameters including bolt-hole clearances
and tightening torques for a minimum unevenness of bolt load. A novel circuit
model is established to generate data samples for the training of artificial
networks at a relatively low computational cost. A database for all the
possible inputs in the design space is built through the machine learning
model. The optimal dataset of clearances and torques provided by the database
is validated by both the finite element method, circuit model, and an
experimental measurement based on the linear superposition principle, which
shows the effectiveness of this general framework for the optimization problem.
Then, our machine learning model is further compared and worked in
collaboration with commonly used optimization algorithms, which shows the
potential of greatly increasing computational efficiency for the inverse design
problem.

25
The categories of this paper are: patt-sol
32
The categories of this paper are: atom-ph
10
The categories of this paper are: q-bio
28
The categories of this paper are: alg-geom
0
The categories of this paper are: hep-ph
29
The categories of this paper are: funct-an
2
The categories of this paper are: math
12
The categories of this paper are: nucl-th
33
The categories of this paper are: plasm-ph
36
The categories of this paper are: cmp-lg
30
The categories of this paper are: q-alg
19
The categories of this paper are: eess
8
The categories of this paper are: hep-ex
34
The categories of this paper are: chem-ph
9
The categories of this paper are: nlin
22
The categories of this paper are: chao-dyn