Argeşo, Ahmet Hakan

Profile Picture
Profile URL
https://hdl.handle.net/20.500.14411/6893
Name Variants
Argeso, H.
A. H. Argeşo
A.H.Argeşo
Argeşo, Ahmet Hakan
Ahmet Hakan, Argeşo
Argeso, Hakan
A., Ahmet Hakan
Argeso,A.H.
A.,Ahmet Hakan
A., Argeso
Argeso, Ahmet Hakan
Argeşo,A.H.
Argeso, H
A.,Argeşo
Ahmet Hakan, Argeso
A. H. Argeso
A.H.Argeso
Argeso, Hakan
Argeşo, A. Hakan
Argeso, H.
Job Title
Profesor Doktor
Email Address
hakan.argeso@atilim.edu.tr
Main Affiliation
Manufacturing Engineering
Status
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
CDN-1793-2022

Sustainable Development Goals

9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
INDUSTRY, INNOVATION AND INFRASTRUCTURE Logo

1

Research Products
This researcher does not have a Scopus ID.
Documents

12

Citations

242

Go to WoS profile
Scholarly Output

10

Articles

7

Views / Downloads

58/337

Supervised MSc Theses

2

Supervised PhD Theses

1

WoS Citation Count

101

Scopus Citation Count

90

WoS h-index

6

Scopus h-index

5

Patents

0

Projects

0

WoS Citations per Publication

10.10

Scopus Citations per Publication

9.00

Open Access Source

1

Supervised Theses

3

Google Analytics Visitor Traffic

JournalCount
Acta Mechanica1
Advances in Structural Engineering1
Computational Mechanics1
Journal of Materials Research1
Journal of Sound and Vibration1
Current Page: 1 / 2

Scopus Quartile Distribution

Competency Cloud

GCRIS Competency Cloud

Filters

20181
Reset filters

Settings

Author: Borgmann, SwantjeSubject: [No Keyword Available]

Scholarly Output Search Results

Now showing 1 - 1 of 1
  • Thumbnail Image
    Article
    Citation - WoS: 12
    Skeletonization-based beam finite element models for stochastic bicontinuous materials: Application to simulations of nanoporous gold
    (Cambridge Univ Press, 2018) Soyarslan, Celal; Argeso, Hakan; Borgmann, Swantje
    An efficient representative volume element generation strategy is developed in modeling nanoporous materials. It uses periodic 3D beam finite element (FE) models derived from skeletonization of spinodal-like stochastic microstructures produced by a leveled random field. To mimic stiffening with agglomeration of the mass at junctions, an increased Young's modulus is assigned to the elements within the junction zone. The effective Young's modulus, Poisson's ratio, and universal anisotropy index are computed. A good agreement of the Young's modulus predictions with those obtained from experimental results for phase volume fractions 0.20 < phi(B) < 0.50 is observed. Moreover, the elastic anisotropy index of the generated beam networks shows sufficient proximity to isotropy. Finally, it is demonstrated that, as compared to the simulation statistics of voxel-FE models, for the beam-FE models over 500-fold computational acceleration with 250-fold less memory requirement is provided.