Thermomechanical and Physical Properties of Plaster Concrete Reinforced with Natural Fibers
Publish Year: 1402
نوع سند: مقاله ژورنالی
زبان: English
View: 113
This Paper With 14 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_MACS-10-2_007
تاریخ نمایه سازی: 9 اردیبهشت 1402
Abstract:
The main objective of this experimental study is to valorize local materials in order to use them as composite Materials (CM) for construction. In this study case, the CM is composed of fibers of Luffa sponge embedded in plaster. Although material resources are abundant in Tunisian territories, their use is very limited. Plaster, the by-product of heat treatment of gypsum, is used in building as coatings and decorative elements. Despite its satisfactory isolation, it has a weakness in its mechanical strength. In this research study, we focus on the enhancement of the thermo-mechanical properties of plaster by adding Luffa sponge fibers into its Matrix. The experimental studies rely on varying the mass fractions of Luffa sponge fibers chemically treated by an alkaline solution (NaOH) in the plaster matrix and then testing thermo-mechanical and physical properties. The results showed that an adequate optimum compromise linking all properties (mechanical, thermal, and chemical) is reached by CM made up of ۱% Luffa sponge fibers for the following condition of chemical treatment of ۱% NaOH at a temperature of ۵۰°C for ۹۰ min.
Keywords:
Authors
Khaled Kharrati
Research Lab TEMI, Faculty of Science, University of Gafsa, cité Sidi Ahmed Zarroug ۲۱۱۲, Tunisia
Madiha Salhi
Research Lab TEMI, Faculty of Science, University of Gafsa, cité Sidi Ahmed Zarroug ۲۱۱۲, Tunisia
Jemaa Sliman
Research Lab TEMI, Faculty of Science, University of Gafsa, cité Sidi Ahmed Zarroug ۲۱۱۲, Tunisia
Ridha abdeljabar
Research Lab TEMI, Faculty of Science, University of Gafsa, cité Sidi Ahmed Zarroug ۲۱۱۲, Tunisia
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :