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DOI 10.3390/ma14133631

Медицинская библиотека · Materials (Basel, Switzerland) · 2021

Probabilistic Finite Element Modeling of Textile Reinforced SHCC Subjected to Uniaxial Tension.

Curosu Iurie, Omara Amr, Ahmed Ameer Hamza, Mechtcherine Viktor

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Аннотация

The paper presents a finite element investigation of the effect of material composition and the constituents' interaction on the tensile behavior of strain-hardening cement-based composites (SHCC) both with and without textile reinforcement. The input material parameters for the SHCC and continuous reinforcement models, as well for their bond, were adopted from reference experimental investigations. The textile reinforcement was discretized by truss elements in the loaded direction only, with the constitutive relationships simulating a carbon and a polymer textile, respectively. For realistic simulation of macroscopic tensile response and multiple cracking patterns in hybrid fiber-reinforced composites subjected to tension, a multi-scale and probabilistic approach was adopted. SHCC was simulated using the smeared crack model, and the input constitutive law reflected the single-crack opening behavior. The probabilistic definition and spatial fluctuation of matrix strength and tensile strength of the SHCC enabled realistic multiple cracking and fracture localization within the loaded model specimens. Two-dimensional (2D) simulations enabled a detailed material assessment with reasonable computational effort and showed adequate accuracy in predicting the experimental findings in terms of macroscopic stress-strain properties, extent of multiple cracking, and average crack width. Besides material optimization, the model is suitable for assessing the strengthening performance of hybrid fiber-reinforced composites on structural elements.

Для цитирования: Curosu Iurie, Omara Amr, Ahmed Ameer Hamza, Mechtcherine Viktor. Probabilistic Finite Element Modeling of Textile Reinforced SHCC Subjected to Uniaxial Tension.. Materials (Basel, Switzerland). 2021. DOI: 10.3390/ma14133631.
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