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[1]张勤彬,程贵海,卢欣奇,等.考虑岩体损伤的爆破振动速度衰减多元非线性模型[J].中国安全生产科学技术,2018,14(3):95-101.[doi:10.11731/j.issn.1673-193x.2018.03.014]
　ZHANG Qinbin,CHENG Guihai,LU Xinqi,et al.Multivariate nonlinear model of blasting vibration velocity attenuation considering rock mass damage[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2018,14(3):95-101.[doi:10.11731/j.issn.1673-193x.2018.03.014]
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考虑岩体损伤的爆破振动速度衰减多元非线性模型
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
14
期数:
2018年3期
页码:
95-101
栏目:
职业安全卫生管理与技术
出版日期:
2018-03-31

文章信息/Info

Title:
Multivariate nonlinear model of blasting vibration velocity attenuation considering rock mass damage
文章编号:
1673-193X(2018)-03-0095-07
作者:
张勤彬1; 程贵海1; 卢欣奇1; 徐中慧2; 董海佩1
（1.广西大学 资源环境与材料学院， 广西 南宁 530004；2. 西南科技大学 环境与资源学院，四川 绵阳 621000）
Author(s):
ZHANG Qinbin1;  CHENG Guihai1;  LU Xinqi1;  XU Zhonghui2;  DONG Haipei1
(1. School of Resources, Environment and Materials, Guangxi University, Nanning Guangxi 530004, China; 2. School of Environment & Resources, Southwest University of Science and Technology, Mianyang Sichuan 621000, China)
关键词:
岩体损伤; 爆破振动; 衰减规律; 多元非线性回归分析
Keywords:
rock mass damage;  blasting vibration;  attenuation laws;  multivariate nonlinear regression analysis
分类号:
TD235
DOI:
10.11731/j.issn.1673-193x.2018.03.014
文献标志码:
A
摘要:
为准确预测爆破振动的衰减规律，控制爆破振动的影响,分析了现有的几种具有代表性的爆破振动预测经验公式的不足;在此基础上，引入岩体累计损伤对爆破振动效应的影响，经过无量纲分析，建立了岩体累计损伤下爆破振动衰减规律的多元非线性数学模型;根据实际工程的监测数据，用1stOpt 软件进行了多元非线性回归分析。结果表明：所提出的多元非线性回归公式预测精度高于传统的预测公式，能为同类露天爆破工程提供科学的指导。
Abstract:
In order to predict the attenuation laws of blasting vibration accurately and control the influence of blasting vibration, the shortcomings of several existing representative empirical formulas for the prediction of blasting vibration were analyzed. On this basis, the influence of the accumulative damage of rock mass on the blasting vibration effect was introduced, and a multivariate nonlinear mathematical model on the attenuation laws of blasting vibration under the accumulative damage of rock mass was established through the dimensionless analysis. According to the monitoring data of practical project, the multivariate nonlinear regression analysis was carried out by using 1stOpt software. The results showed that the prediction accuracy of the proposed multivariate nonlinear regression formula was higher than that of the traditional prediction formulas, and it can provide the scientific guidance for the similar open-pit blasting projects.

参考文献/References:

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备注/Memo

备注/Memo:
国家自然科学基金项目（51404200）
更新日期/Last Update: 2018-04-11