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Author:

Din, Israr Ud (Din, Israr Ud.) | Tu, Shanshan (Tu, Shanshan.) | Hao, Pei (Hao, Pei.) | Panier, Stéphane (Panier, Stéphane.) | Khan, Kamran Ahmed (Khan, Kamran Ahmed.) | Umer, Rehan (Umer, Rehan.) | Shah, S.Z.H. (Shah, S.Z.H..) | Franz, Gérald (Franz, Gérald.) | Aamir, Muhammad (Aamir, Muhammad.)

Indexed by:

EI Scopus SCIE

Abstract:

This work presents the application of both uniaxial and bi-axial in-plane loads to unidirectional carbon fiber reinforced polymer laminates using a newly developed Arcan fixture, which is a reliable experimental set-up to obtain a uniform shear stress field in a butterfly specimen. The set-up can be used for both damage model validation and parameters identification at various fiber orientations while using the same specimens. A sequential damage study was completed to highlight the influence of diffused damage induced in pure shear on the fiber direction tensile behavior of the laminate. This was accomplished by applying load on the specimens in two steps: (i) the pure shear step and then unloading at approximately 70% of the shear failure strength, (ii) in the tensile step until final failure. A clear drop in the tensile behavior of the laminate was observed by the diffused damage induced in the first loading step of pure shear. The experimental study is also supplemented with numerical simulations using a nonlinear elasto-plastic coupled damage constitutive law by employing Puck's failure theory for mesodamage activation. In addition to the damage pattern, the non-linear mechanical behavior in shear is predicted and found in good correspondence with the experimental results. © 2020 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Keyword:

Carbon fiber reinforced plastics Beams and girders Graphite fibers Unloading Damage detection Shear stress Fibers Fixtures (tooling)

Author Community:

  • [ 1 ] [Din, Israr Ud]Research Centre for Modelling and Simulation (RCMS), National University of Sciences and Technology (NUST), Sector H-12, Islamabad, Pakistan
  • [ 2 ] [Tu, Shanshan]Research Center of Intelligent Perception and Autonomous Control, Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Hao, Pei]Laboratoire des Technologies Innovantes, LTI-EA 3899, Université de Picardie Jules Verne, Amiens; 80025, France
  • [ 4 ] [Panier, Stéphane]Laboratoire des Technologies Innovantes, LTI-EA 3899, Université de Picardie Jules Verne, Amiens; 80025, France
  • [ 5 ] [Khan, Kamran Ahmed]Department of Aerospace Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
  • [ 6 ] [Umer, Rehan]Department of Aerospace Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
  • [ 7 ] [Shah, S.Z.H.]Department of Mechanical Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Perak; 32610, Malaysia
  • [ 8 ] [Franz, Gérald]Laboratoire des Technologies Innovantes, LTI-EA 3899, Université de Picardie Jules Verne, Amiens; 80025, France
  • [ 9 ] [Aamir, Muhammad]School of Engineering, Edith Cowan University, Joondalup; WA; 6027, Australia

Reprint Author's Address:

  • [tu, shanshan]research center of intelligent perception and autonomous control, faculty of information technology, beijing university of technology, beijing; 100124, china

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Source :

Journal of Materials Research and Technology

ISSN: 2238-7854

Year: 2020

Issue: 6

Volume: 9

Page: 13352-13364

6 . 4 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 34

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 11

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