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<p>The dynamic optimization of compaction quality, integrated with intelligent compaction (IC) technology, is essential for maximizing construction quality and efficiency. This study presents a novel hybrid intelligent optimization framework designed to improve both compaction quality and construction efficiency by dynamically adjusting rolling parameters. A compaction quality control model was developed based on the integrated analysis of historical data and orthogonal experiments, accounting for multiple influencing factors. Subsequently, initial compactness and rolling velocity were identified as key optimization parameters, with SHAP (SHapley Additive exPlanations) employed for interpretive analysis. To address practical construction demands, three optimization methods are introduced: staged optimization, full-stage optimization, and multi-objective optimization. Validation experiments using IC data collected from the Jing-Jin-Tang Highway showed significant enhancements in both compaction quality and construction efficiency. These results offer an intelligent interactive approach for current quality evaluations and construction optimization.</p>

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Multi-objective optimization control of subgrade compaction quality combined with intelligent compaction

  • 期刊论文

  • 发表日期：

    2026年3月6日

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  • Jianhua Li,
  • Xuefei Wang,
  • Jiale Li,
  • Jianmin Zhang,
  • Guowei Ma

摘要

The dynamic optimization of compaction quality, integrated with intelligent compaction (IC) technology, is essential for maximizing construction quality and efficiency. This study presents a novel hybrid intelligent optimization framework designed to improve both compaction quality and construction efficiency by dynamically adjusting rolling parameters. A compaction quality control model was developed based on the integrated analysis of historical data and orthogonal experiments, accounting for multiple influencing factors. Subsequently, initial compactness and rolling velocity were identified as key optimization parameters, with SHAP (SHapley Additive exPlanations) employed for interpretive analysis. To address practical construction demands, three optimization methods are introduced: staged optimization, full-stage optimization, and multi-objective optimization. Validation experiments using IC data collected from the Jing-Jin-Tang Highway showed significant enhancements in both compaction quality and construction efficiency. These results offer an intelligent interactive approach for current quality evaluations and construction optimization.