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山东大学学报 (工学版) ›› 2026, Vol. 56 ›› Issue (5): 102-110.doi: 10.6040/j.issn.1672-3961.0.2025.027

• 土木工程 • 上一篇    

基于多层感知机与凿岩台车随钻参数的岩石强度预测模型

彭柳逸1,2,刘浩3,张奇1,2,刘知辉1,2,孙子正1,2   

  1. 1.山东大学齐鲁交通学院, 山东 济南 250002;2.高端工程机械智能制造全国重点实验室, 山东 济南 250002;3. 江苏徐工国重实验室科技有限公司, 江苏 徐州 221008
  • 发布日期:2026-10-19
  • 作者简介:彭柳逸(1998— ),男,山东济南人,硕士研究生,主要研究方向为岩土工程. E-mail:1033063409@qq.com
  • 基金资助:
    国家重点研发计划资助项目(2022YFC3005604)

Rock strength prediction model based on multi-layer perceptron and drilling parameters of rock drilling jumbo

Peng Liuyi1,2, Liu Hao3, Zhang Qi1,2, Liu Zhihui1,2, Sun Zizheng1,2   

  1. Peng Liuyi1, 2, Liu Hao3, Zhang Qi1, 2, Liu Zhihui1, 2, Sun Zizheng1, 2(1. School of Qilu Transportation, Shandong University, Jinan 250002, Shandong, China;
    2. State Key Laboratory of Intelligent Manufacturing of Advanced Construction Machinery, Jinan 250002, Shandong, China;
    3. Jiangsu XCMG National Key Laboratory &
    Technology Co., Ltd., Xuzhou 221008, Jiangsu, China
  • Published:2026-10-19

摘要: 钻爆法隧道施工中,现有基于凿岩台车随钻参数的岩石单轴饱和抗压强度快速获取方法存在不足,较少考虑冲击频率影响且预测准确性不足。为解决这一问题,基于凿岩台车整机试验,将冲击频率、冲击压力等作为特征参数,构建基于多层感知机与随钻参数的岩石单轴饱和抗压强度预测模型,并依据随钻参数与岩石强度的相关性系数,在模型中为各参数赋予权重,提升模型准确率,实现岩石单轴饱和抗压强度实时预测。所建立的感知模型基于凿岩台车现场易于采集的随钻参数,测试验证数据集表明,在设置容许误差为±3 MPa时,模型预测的整体准确率为86.67%,具有较高的预测精度。

关键词: 随钻参数, 凿岩台车, 冲击频率, 多层感知机, 强度预测

Abstract: To address the problem that existing methods for rapidly obtaining the uniaxial saturated compressive strength(USCS)of rocks based on drilling parameters of rock drilling jumbos rarely considered the influence of impact frequency, leading to insufficient prediction accuracy during the construction of drill-and-blast tunnels, this research conducted experiments on a full-scale rock drilling jumbo, took impact frequency, impact pressure and other parameters as feature variables, and constructed a USCS prediction model for rocks based on a multi-layer perceptron and drilling parameters. The correlation coefficients between drilling parameters and rock strength were used to assign weights to each parameter in the model, which improved the model's accuracy and enabled real-time prediction of the rock USCS. The developed perceptual model relied on easily collected on-site drilling parameters of rock drilling jumbos. Test and verification results showed that the overall prediction accuracy of the model reached 86.67% within an allowable error range of ±3 MPa, indicating high prediction precision.

Key words: drilling parameters, drilling jumbo, impact frequency, multilayer perceptron, strength prediction

中图分类号: 

  • U451+.2
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