评估 Leca 填充沟槽的地面振动衰减:支持向量机方法

Mohsen Naghizadeh Rokni, Omid Tavasoli, Reza Esmaeilabadi, Amirpouya Saraf
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引用次数: 0

摘要

本文研究了单层和双层沟槽的 Leca 填充屏障对减轻谐波载荷引起的地面振动的影响。本文使用了经过上述研究验证的三维有限元程序,以及通过 Plaxis 和 Python 集成创建的自动模型。这种方法有助于评估主动和被动设计方案中沟槽的有效性。我们的研究结果表明,在主动设计中,有效减少振动的最佳沟槽深度和宽度分别约为 1λr 和 0.2λr。在被动式设计中,沟槽深度的重要性降低,但宽度在单壁和双壁系统中都起着至关重要的作用。此外,还开发了一种支持向量机算法来预测单壁沟槽的性能,结果显示与数值模型结果高度相关。这强调了该算法在预测沟渠效率方面的实用性,突出了机器学习在岩土工程中的实际应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating ground vibration attenuation through leca‐filled trenches: A support vector machine approach
This paper investigates the effect of Leca‐filled barriers, both single and double‐walled trenches, on mitigating ground vibrations due to harmonic loads. A three‐dimensional finite element program, validated in comparison by aforementioned studies, was used alongside automated models created via Plaxis and Python integration. This approach facilitated the evaluation of trench effectiveness in both active and passive design scenarios. Our findings suggest that optimal trench dimensions for effective vibration reduction in active designs are a depth and width of approximately 1λr and 0.2λr, respectively. In passive designs, while trench depth becomes less significant, width plays a crucial role in both single and double‐wall systems. Additionally, a support vector machine algorithm was developed to forecast the performance of single‐wall trenches, showing a high correlation with numerical model outcomes. This underscores the algorithm's utility in predicting trench efficiency, highlighting the practical application of machine learning in geotechnical engineering.
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