Intelligent Compaction (IC) utilizes the Intelligent Compaction Measurement Value (ICMV) to assess compaction quality in real-time. However, current engineering practices rely on a fixed ICMV for evaluation, overlooking material variations and different compaction stages. The choice of ICMV is often dictated by the manufacturer, lacking rationality. This paper presents a multi-domain ICMV system to customize the appropriate ICMV for various construction scenarios. ICMVs are derived by processing the roller's vibrational response in the time, frequency, and dual time-frequency domains. Optimal filtering methods are recommended for each domain, and sixteen ICMVs are calculated. A criterion is proposed to select suitable ICMVs based on their relationships to rolling passes, statistical performance, and model accuracy. Consequently, six optimal ICMVs are suggested based on the criterion and validated in the field test, effectively enhancing the evaluation accuracy and robustness. This multi-domain ICMV system leads to rigorous and reliable IC evaluations, facilitating its widespread implementation.

中文翻译：

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路基施工智能压实测量值多域自适应分析

智能压实（IC）利用智能压实测量值（ICMV）实时评估压实质量。然而，当前的工程实践依赖于固定的 ICMV 进行评估，忽略了材料的变化和不同的压实阶段。 ICMV的选择往往由制造商决定，缺乏合理性。本文提出了一种多域 ICMV 系统，为各种施工场景定制合适的 ICMV。 ICMV 是通过处理滚子在时域、频域和双时频域中的振动响应而得出的。为每个域推荐最佳过滤方法，并计算 16 个 ICMV。提出了一个标准，根据 ICMV 与轧制道次、统计性能和模型精度的关系来选择合适的 ICMV。因此，根据该准则提出了六种最佳ICMV，并在现场测试中进行了验证，有效提高了评估的准确性和鲁棒性。这种多域 ICMV 系统可实现严格可靠的 IC 评估，从而促进其广泛实施。