PVC failure modelling through experimental and digital image correlation measurements

Authors

  • Najat Zekriti Laboratory of Nuclear, Atomic, Molecular, Mechanical and Energetic Physics, University Chouaib Doukkali, El jadida, Morocco
  • Fatima Majid Laboratory of Nuclear, Atomic, Molecular, Mechanical and Energetic Physics, University Chouaib Doukkali, El jadida, Morocco
  • Rajae Rhanim Laboratory Study of Advanced Materials and Application, University Moulay Ismail, Meknes, Morocco
  • Ibrahim Mrani Laboratory of Nuclear, Atomic, Molecular, Mechanical and Energetic Physics, University Chouaib Doukkali, El jadida, Morocco
  • Hassan Rhanim Laboratory of Nuclear, Atomic, Molecular, Mechanical and Energetic Physics, University Chouaib Doukkali, El jadida, Morocco

DOI:

https://doi.org/10.3221/IGF-ESIS.60.33

Keywords:

Crack growth, stress intensity factor, strain rates, DIC, PVC

Abstract

This paper analyses industrial PVC sheets structural integrity assessment widely used for different ranges of industrial applications. We investigated combined approaches focused on fracture toughness assessment to predict PVC mechanical behavior against failure. We ran a series of tests on tensile and single-edge notched samples at various crosshead speeds on a tensile test machine. PVC sheets' stress intensity factors were evaluated using both theoretical and experimental approaches to model crack growth. In the experimental procedure, we used the digital image correlation (DIC) method. We also developed a semi-empirical model to predict crack length over time. Furthermore, we proposed that the crack growth rate and stress intensity factor were satisfactorily correlated at all crosshead speeds and that the crack growth rate could be represented using a power-law model. In pre-cracked PVC specimens, the results showed that crack growth appears to be influenced by crosshead speed.

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Published

25-03-2022

Issue

Section

Structural Integrity and Durability of Structures

Categories

How to Cite

PVC failure modelling through experimental and digital image correlation measurements. (2022). Frattura Ed Integrità Strutturale, 16(60), 488-503. https://doi.org/10.3221/IGF-ESIS.60.33