Optimization Design of Self-Healing Recycled Concrete Mix Proportion Using Steel Slag–Immobilized <i>Bacillus licheniformis</i>

Microbial mineralization self-repair can effectively solve the problems of pores and cracks inside recycled concrete, thereby improving its mechanical properties. In order to reasonably solve the problem of bacteria’s long-term viability in the high alkaline environment of concrete, Bacillus licheniformis was selected as the mineralizing bacteria in this study, and its alkaline resistance was domesticated; at the same time, steel slag was used as the carrier material to protect the bacteria, and the addition of alumina was used to reduce the pH of the recycled concrete. In order to explore the optimal content of different additives, orthogonal tests were carried out on four factors: steel slag content, alumina content, calcium ion concentration, and urea concentration. The significance of the variables was assessed by analysis of variance (ANOVA) and analysis of range, and the optimal combination in the orthogonal test was determined using the Tukey method. The test results showed that the optimal mix design was at 10% steel slag dosing, Ca2+ concentration of 0.6 mol/L, Al2O3 dosing of 2%, and urea concentration of 0.9 mol/L, and the interactions between multiple factors were analyzed. On this basis, the repair effect and mechanical properties of recycled concrete under the optimal mix ratio are verified. Finally, the influence of Bacillus licheniformis particle-bound slag on the microstructure and micromechanical properties of recycled concrete was deeply analyzed through electron microscope scanning and nano-indentation testing, and its self-healing mechanism was revealed.

Authors

Institutions

Publication Details

Journal
Journal of Materials in Civil Engineering
Published
2026-03-24
DOI
https://doi.org/10.1061/jmcee7.mteng-22232
Primary Topic
Microbial Applications in Construction Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimization Design of Self-Healing Recycled Concrete Mix Proportion Using Steel Slag–Immobilized Bacillus licheniformis

S L Wang, Yuping Chen, Yingjie Chen
Journal of Materials in Civil Engineering
Microbial Applications in Construction Materials
article

Optimization Design of Self-Healing Recycled Concrete Mix Proportion Using Steel Slag–Immobilized Bacillus licheniformis

S L Wang, Yuping Chen, Yingjie Chen
article en

Abstract

Microbial mineralization self-repair can effectively solve the problems of pores and cracks inside recycled concrete, thereby improving its mechanical properties. In order to reasonably solve the problem of bacteria’s long-term viability in the high alkaline environment of concrete, Bacillus licheniformis was selected as the mineralizing bacteria in this study, and its alkaline resistance was domesticated; at the same time, steel slag was used as the carrier material to protect the bacteria, and the addition of alumina was used to reduce the pH of the recycled concrete. In order to explore the optimal content of different additives, orthogonal tests were carried out on four factors: steel slag content, alumina content, calcium ion concentration, and urea concentration. The significance of the variables was assessed by analysis of variance (ANOVA) and analysis of range, and the optimal combination in the orthogonal test was determined using the Tukey method. The test results showed that the optimal mix design was at 10% steel slag dosing, Ca2+ concentration of 0.6 mol/L, Al2O3 dosing of 2%, and urea concentration of 0.9 mol/L, and the interactions between multiple factors were analyzed. On this basis, the repair effect and mechanical properties of recycled concrete under the optimal mix ratio are verified. Finally, the influence of Bacillus licheniformis particle-bound slag on the microstructure and micromechanical properties of recycled concrete was deeply analyzed through electron microscope scanning and nano-indentation testing, and its self-healing mechanism was revealed.

Journal of Materials in Civil EngineeringVol. 38(6)
Xinjiang Agricultural University (CN), Taizhou University (CN)
Openalex Percentile: Top 10%
Microbial Applications in Construction Materials
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.