Deep learning-based soil compaction monitoring: A proof-of-concept study

IF 2.4 3区 工程技术 Q3 ENGINEERING, ENVIRONMENTAL
Shota Teramoto , Shinichi Ito , Taizo Kobayashi
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引用次数: 0

Abstract

The dynamic behavior of the vibratory drum of a soil compactor for earthworks is known to be affected by soil stiffness. Real-time monitoring techniques measuring the acceleration of vibratory drums have been widely used for soil compaction quality control; however, their accuracy can be affected by soil type and conditions. To resolve this problem, a novel deep learning-based technique is developed. The method allows the regression estimation of soil stiffness from vibration drum acceleration responses. By expanding the range of applicability and improving accuracy, the proposed method provides a more reliable and robust approach to evaluate soil compaction quality. To train the estimation model, numerous datasets of noise-free waveform data are numerically generated by solving the equations of motion of the mass–spring–damper system of a vibratory roller. To validate the effectiveness of the proposed technique, a field experiment is conducted. A good correlation between the estimated and measured values is demonstrated by the experimental results. The correlation coefficient is 0.790, indicating the high potential of the proposed method as a new real-time monitoring technique for soil compaction quality.

基于深度学习的土壤压实监测:概念验证研究
土方工程用土壤压实机振动鼓的动力特性受到土壤刚度的影响。振动鼓加速度实时监测技术已广泛应用于土壤压实质量控制;然而,它们的准确性会受到土壤类型和条件的影响。为了解决这个问题,开发了一种新的基于深度学习的技术。该方法允许从振动鼓加速度响应中回归估计土壤刚度。该方法扩大了适用范围,提高了精度,为土壤压实质量评价提供了更可靠、更稳健的方法。为了训练估计模型,通过求解振动压路机质量-弹簧-阻尼系统的运动方程,数值生成了大量无噪声波形数据集。为了验证该技术的有效性,进行了现场试验。实验结果表明,估计值与实测值之间具有良好的相关性。相关系数为0.790,表明该方法作为一种新的土壤压实质量实时监测技术具有很大的潜力。
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来源期刊
Journal of Terramechanics
Journal of Terramechanics 工程技术-工程:环境
CiteScore
5.90
自引率
8.30%
发文量
33
审稿时长
15.3 weeks
期刊介绍: The Journal of Terramechanics is primarily devoted to scientific articles concerned with research, design, and equipment utilization in the field of terramechanics. The Journal of Terramechanics is the leading international journal serving the multidisciplinary global off-road vehicle and soil working machinery industries, and related user community, governmental agencies and universities. The Journal of Terramechanics provides a forum for those involved in research, development, design, innovation, testing, application and utilization of off-road vehicles and soil working machinery, and their sub-systems and components. The Journal presents a cross-section of technical papers, reviews, comments and discussions, and serves as a medium for recording recent progress in the field.
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