Enhancing High-Strength Self-Compacting Concrete (HSSCC) with Marble Sludge Powder and Silica Fume for Sustainable Construction
Amandeep Sehrawat
, Dr. N.P Kaushik
High-Strength Self-Compacting Concrete (HSSCC), Marble Sludge Powder (MSP), Silica Fume (SF), Quartz Sand (QS), Elevated Temperature, Sustainability, Artificial Neural Networks (ANN).
The contemporary construction industry demands advanced materials that combine high strength, durability, and sustainability. This study investigates the development of High-Strength Self-Compacting Concrete (HSSCC) incorporating Marble Sludge Powder (MSP), Silica Fume (SF), and Quartz Sand (QS) as partial replacements for fine aggregates. The research evaluates the physical, chemical, mechanical, and durability properties of HSSCC under elevated temperatures and compares its performance with conventional High-Strength Vibrated Concrete (HSVC). Experimental results demonstrate that HSSCC with Ground Granulated Blast Furnace Slag (GGBS) and Fly Ash (FA) exhibits superior workability, compressive strength (up to 58.55 MPa at 28 days), and thermal resistance (up to 400°C). Artificial Neural Networks (ANN) were employed to predict compressive strength, achieving high accuracy. The study highlights the environmental benefits of using industrial by-products like MSP and SF, promoting sustainable construction practices.
"Enhancing High-Strength Self-Compacting Concrete (HSSCC) with Marble Sludge Powder and Silica Fume for Sustainable Construction", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.10, Issue 9, page no.b81-b87, September-2025, Available :https://ijsdr.org/papers/IJSDR2509113.pdf
Volume 10
Issue 9,
September-2025
Pages : b81-b87
Paper Reg. ID: IJSDR_304928
Published Paper Id: IJSDR2509113
Downloads: 00078
Research Area: Science and Technology
Country: Hissar, HARYANA, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave