Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An Auto-Generated Geometry-Based Discrete Finite Element Model for
  Damage Evolution in Composite Laminates with Arbitrary Stacking Sequence   Stiffness degradation and progressive failure of composite laminates are
complex processes involving evolution and multi-mode interactions among fiber
fractures, intra-ply matrix cracks and inter-ply delaminations. This paper
presents a novel finite element model capable of explicitly treating such
discrete failures in laminates of random layup. Matching of nodes is guaranteed
at potential crack bifurcations to ensure correct displacement jumps near crack
tips and explicit load transfer among cracks. The model is entirely
geometry-based (no mesh prerequisite) with distinct segments assembled together
using surface-based tie constraints, and thus requires no element partitioning
or enrichment. Several numerical examples are included to demonstrate the
model's ability to generate results that are in qualitative and quantitative
agreement with experimental observations on both damage evolution and tensile
strength of specimens. The present model is believed unique in realizing
simultaneous and accurate coupling of all three types of failures in laminates
having arbitrary ply angles and layup.

16
The categories of this paper are: stat
13
The categories of this paper are: quant-ph
0
The categories of this paper are: hep-ph
24
The categories of this paper are: dg-ga
10
The categories of this paper are: q-bio
22
The categories of this paper are: chao-dyn
36
The categories of this paper are: cmp-lg
19
The categories of this paper are: eess
26
The categories of this paper are: bayes-an
3
The categories of this paper are: physics
17
The categories of this paper are: q-fin
7
The categories of this paper are: hep-th
8
The categories of this paper are: hep-ex
15
The categories of this paper are: nucl-ex
23
The categories of this paper are: solv-int
5
The categories of this paper are: gr-qc