Microstructural And Durability Characteristics Of Self-Compacting Concrete Incorporating Wood Waste Ash And Steel Slag

The need of putting set up eco-friendly processes and rules that raise output, enhance the quality of output, and save energy is widely recognized in the construction sector. This paper reports on a research that looked at self-compacting concrete (SCC) utilizing 15% cement and wood waste ash (WWA). Ash from wood waste is categorized as an additive because of its pozzolanic qualities. Paper mills, log-fired power stations, and other businesses that burn wood chips produce wood waste ash as a by-product. As a byproduct of their combustion process. In this investigation, steel slag (SS) was added to self-compacting concrete in different amounts 15%, 30%, and 45% in place of fine particles. Lowermost among the slag from the blast furnace is the SS layer. Many tests were done to evaluate the impacts of replacement and additive materials. The L-box, U-box-funnel, and slump flow tests were among those used to assess the materials' freshness. Tests for compressive strength were also conducted in order to evaluate the strength characteristics. Tests for fast chloride permeability, mass loss, water absorption, and abrasion resistance were used to assess durability attributes. Studies show that adding SS content improves all the hardened properties.

Authors

Publication Details

Journal
International Journal of Environmental Sciences
Published
2025-06-02
DOI
https://doi.org/10.64252/0mvcdh87
Primary Topic
Recycling and utilization of industrial and municipal waste in materials production
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Microstructural And Durability Characteristics Of Self-Compacting Concrete Incorporating Wood Waste Ash And Steel Slag

Onkar Singh Sidhu, G. S. Sidhu
International Journal of Environmental Sciences
Recycling and utilization of industrial and municipal waste in materials production
article

Microstructural And Durability Characteristics Of Self-Compacting Concrete Incorporating Wood Waste Ash And Steel Slag

Onkar Singh Sidhu, G. S. Sidhu
article en

Abstract

The need of putting set up eco-friendly processes and rules that raise output, enhance the quality of output, and save energy is widely recognized in the construction sector. This paper reports on a research that looked at self-compacting concrete (SCC) utilizing 15% cement and wood waste ash (WWA). Ash from wood waste is categorized as an additive because of its pozzolanic qualities. Paper mills, log-fired power stations, and other businesses that burn wood chips produce wood waste ash as a by-product. As a byproduct of their combustion process. In this investigation, steel slag (SS) was added to self-compacting concrete in different amounts 15%, 30%, and 45% in place of fine particles. Lowermost among the slag from the blast furnace is the SS layer. Many tests were done to evaluate the impacts of replacement and additive materials. The L-box, U-box-funnel, and slump flow tests were among those used to assess the materials' freshness. Tests for compressive strength were also conducted in order to evaluate the strength characteristics. Tests for fast chloride permeability, mass loss, water absorption, and abrasion resistance were used to assess durability attributes. Studies show that adding SS content improves all the hardened properties.

International Journal of Environmental SciencesVol. 11(7s)
Openalex Percentile: Top 83%
Recycling and utilization of industrial and municipal waste in materials production
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.