Literature DB >> 33917108

Uniaxial Tensile Behavior, Flexural Properties, Empirical Calculation and Microstructure of Multi-Scale Fiber Reinforced Cement-Based Material at Elevated Temperature.

Li Li1,2, Mehran Khan3, Chengying Bai4, Ke Shi5.   

Abstract

Fire is one of the most unfavorable conditions that cement-based composites can face during their service lives. The uniaxial tensile and flexural tensile properties of the steel-polyvinyl alcohol fiber-calcium carbonate whisker (CW) multi-scale fiber reinforced cement matrix composites (MSFRCs) under high temperatures are studied, including strength, deformation capacity, energy dissipation capacity, and its ability to be assessed through the empirical calculation method. The study showed that with the increase of the treatment temperature, the MSFRC residual bending strength, bending toughness, and tensile strength decreased overall, but the decline was slow at 600 °C. The peak flexural deflection and peak tensile strain of MSFRC first reduced and then increased with the increase of the temperature. As the temperature increased, the nominal stiffness of MSFRC bending and straight gradually reduced, and the rate of decline was faster than that of its strength. However, the uniaxial tensile properties were more sensitive to the temperature and degraded more rapidly. A quantitative relationship was established between MSFRC residual bending, tensile strength, and temperature. A comparison with existing research results shows that MSFRC has achieved an ideal effect of high temperature resistance. The multi-scale hybrid fiber system significantly alleviates the deterioration of cement-based composite's mechanical properties under high temperatures. With the help of an optical microscope and scanning electron microscope (SEM), the high temperature influence mechanism on the uniaxial tensile and flexural properties of MSFRC was revealed.

Entities:  

Keywords:  bending strength; fiber reinforced composite; high temperature; hybrid fibers; uniaxial tensile; whiskers

Year:  2021        PMID: 33917108     DOI: 10.3390/ma14081827

Source DB:  PubMed          Journal:  Materials (Basel)        ISSN: 1996-1944            Impact factor:   3.623


  14 in total

1.  Compressive Strength of Steel Fiber-Reinforced Concrete Employing Supervised Machine Learning Techniques.

Authors:  Yongjian Li; Qizhi Zhang; Paweł Kamiński; Ahmed Farouk Deifalla; Muhammad Sufian; Artur Dyczko; Nabil Ben Kahla; Miniar Atig
Journal:  Materials (Basel)       Date:  2022-06-14       Impact factor: 3.748

2.  Using Machine Learning Algorithms to Estimate the Compressive Property of High Strength Fiber Reinforced Concrete.

Authors:  Li Dai; Xu Wu; Meirong Zhou; Waqas Ahmad; Mujahid Ali; Mohanad Muayad Sabri Sabri; Abdelatif Salmi; Dina Yehia Zakaria Ewais
Journal:  Materials (Basel)       Date:  2022-06-24       Impact factor: 3.748

Review 3.  A Comprehensive Review of Types, Properties, Treatment Methods and Application of Plant Fibers in Construction and Building Materials.

Authors:  Muhammad Nasir Amin; Waqas Ahmad; Kaffayatullah Khan; Ayaz Ahmad
Journal:  Materials (Basel)       Date:  2022-06-20       Impact factor: 3.748

Review 4.  Mapping Research Knowledge on Rice Husk Ash Application in Concrete: A Scientometric Review.

Authors:  Muhammad Nasir Amin; Waqas Ahmad; Kaffayatullah Khan; Mohamed Mahmoud Sayed
Journal:  Materials (Basel)       Date:  2022-05-10       Impact factor: 3.748

5.  Compressive Strength Evaluation of Ultra-High-Strength Concrete by Machine Learning.

Authors:  Zhongjie Shen; Ahmed Farouk Deifalla; Paweł Kamiński; Artur Dyczko
Journal:  Materials (Basel)       Date:  2022-05-13       Impact factor: 3.748

6.  Effect of Carbon Black and Hybrid Steel-Polypropylene Fiber on the Mechanical and Self-Sensing Characteristics of Concrete Considering Different Coarse Aggregates' Sizes.

Authors:  Shakeel Ahmed; Abasal Hussain; Zahoor Hussain; Zhang Pu; Krzysztof Adam Ostrowski; Rafał Walczak
Journal:  Materials (Basel)       Date:  2021-12-04       Impact factor: 3.623

7.  Application of Machine Learning Approaches to Predict the Strength Property of Geopolymer Concrete.

Authors:  Rongchuan Cao; Zheng Fang; Man Jin; Yu Shang
Journal:  Materials (Basel)       Date:  2022-03-24       Impact factor: 3.623

Review 8.  Fly Ash Application as Supplementary Cementitious Material: A Review.

Authors:  Guanlei Li; Chengke Zhou; Waqas Ahmad; Kseniia Iurevna Usanova; Maria Karelina; Abdeliazim Mustafa Mohamed; Rana Khallaf
Journal:  Materials (Basel)       Date:  2022-04-05       Impact factor: 3.623

9.  Use of Artificial Intelligence Methods for Predicting the Strength of Recycled Aggregate Concrete and the Influence of Raw Ingredients.

Authors:  Xinchen Pan; Yixuan Xiao; Salman Ali Suhail; Waqas Ahmad; Gunasekaran Murali; Abdelatif Salmi; Abdullah Mohamed
Journal:  Materials (Basel)       Date:  2022-06-13       Impact factor: 3.748

10.  Flexural Strength Prediction of Steel Fiber-Reinforced Concrete Using Artificial Intelligence.

Authors:  Dong Zheng; Rongxing Wu; Muhammad Sufian; Nabil Ben Kahla; Miniar Atig; Ahmed Farouk Deifalla; Oussama Accouche; Marc Azab
Journal:  Materials (Basel)       Date:  2022-07-27       Impact factor: 3.748

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