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In this paper, the authors present some methods for identification and characterized soil response at static and dynamic actions in compaction process, applicable worldwide. First, the empirical solutions based on frequency responses represented by harmonic ratios, such as Compaction Meter Value (CMV), Compaction Control Value (CCV), and HAMM Compaction Value (OMV) are described. After, estimation of the energy and rolling resistance represents solutions for static compaction evaluation, using OMEGA and MDP methods. Moreover, simplified static mechanistic solutions using either the discrete vibration, roller drum movement, or static continuum models (discrete vibration model based on soil stiffness and roller drum movement model based on vibratory modulus) were implemented for compaction degree evaluation with vibratory rollers. In present, the approach in the topic area grow at new level and dynamic mechanistic solutions are combined with artificial intelligence solutions for soil compaction identification. Authors highlight the limitations of these solutions viewed from the perspective of field performance, in practical activities on construction sites.

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Methods for Identifying and Characterizing the Response of Soils to Dynamic Actions in the Compaction Process

  • 会议论文

  • 发表日期：

    2025年

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  • Debeleac Carmen Nicoleta,
  • Miron Daniel Sorin

摘要

In this paper, the authors present some methods for identification and characterized soil response at static and dynamic actions in compaction process, applicable worldwide. First, the empirical solutions based on frequency responses represented by harmonic ratios, such as Compaction Meter Value (CMV), Compaction Control Value (CCV), and HAMM Compaction Value (OMV) are described. After, estimation of the energy and rolling resistance represents solutions for static compaction evaluation, using OMEGA and MDP methods. Moreover, simplified static mechanistic solutions using either the discrete vibration, roller drum movement, or static continuum models (discrete vibration model based on soil stiffness and roller drum movement model based on vibratory modulus) were implemented for compaction degree evaluation with vibratory rollers. In present, the approach in the topic area grow at new level and dynamic mechanistic solutions are combined with artificial intelligence solutions for soil compaction identification. Authors highlight the limitations of these solutions viewed from the perspective of field performance, in practical activities on construction sites.