PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 13, 2026Current Materials Science0 citations

Grey Relational Analysis for Optimizing the Mix Proportion of Toughness-enhanced Mortar

View Full Paper
YZYuanyuan ZengSHShangyu HanYLYongming Liu

Key Points

  • The aim is to optimize the mix proportions of toughness-enhanced mortar for better mechanical performance.
  • Prepared modified mortars using SBR latex, PVA fibers, and silica fume.
  • Conducted an L9(34) orthogonal array experiment to assess various admixtures.
  • Performed multi-objective optimization through gray correlation analysis.
  • The optimal mix proportion found is 5% SBR latex, 0.3% PVA fibers, and 15% silica fume.
  • Achieved a flexural-to-compressive strength ratio of 0.23 after 28 days.
  • Toughened mortar demonstrated superior toughness while maintaining high compressive strength.

Abstract

Introduction: This study optimizes the mix proportion of toughness-enhanced mortar to obtain excellent toughness and mechanical properties. Methods: Modified mortars were prepared using SBR latex, PVA fibers, and silica fume. Based on an L9(34) orthogonal array experiment, the effects of different admixtures on fluidity, setting time, mechanical strength, and toughness of mortar are studied, and then multi-objective optimization is carried out by using Gray correlation analysis. Results: The result is that the optimal mix proportion is A1B3C3 (5% SBR latex, 0.3% PVA fibers, and 15% silica fume). The 28-day flexural-to-compressive strength ratio achieved 0.23, which is far beyond ordinary mortar. Discussion: The findings demonstrate that the toughened mortar achieves superior toughness while retaining high compressive strength. Conclusion: SEM shows that the excellent toughness comes from the synergistic network. PVA fiber bridging and the bonded polymer film together prevent crack propagation and prevent spalling. The GRA method provides a reliable framework for multi-objective optimization in material design.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Zeng et al. (2026) studied this question.

synapsesocial.com/papers/69dc88583afacbeac03ea38chttps://doi.org/10.2174/0126661454477786260331114036
Ask AI
Helpful
Bookmark
Share
View Full Paper