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Application of the L-M optimized algorithm to predicting blast vibration parameters

机译:L-M优化算法在爆破振动参数预测中的应用

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摘要

@@ Currently, the regression empirical formula with vibration peak as the safety index of single blasting vibration is widely applied in blasting engineering circles throughout the world. Due to complex blasting mechanism and blasting medium environment as well as plural influencing factors, it is difficult that all these factors can be taken into consideration by using one regression empirical formula. In addition, due to the inherent limitations of regression analysis (e.g., requiring good data distribution and large amount of samples), the vibration prediction by empirical formula is not ideal (LI, 1997; CHEN, 2001; ZHANG, 2001).
机译:@@目前,以振动峰值作为单次爆破振动安全性指标的回归经验公式已在全世界爆破工程界得到广泛应用。由于复杂的爆破机理和爆破介质环境以及多种影响因素,使用一个回归经验公式很难将所有这些因素都考虑在内。此外,由于回归分析的固有局限性(例如,需要良好的数据分布和大量的样本),经验公式的振动预测并不理想(LI,1997; CHEN,2001; ZHANG,2001)。

著录项

  • 来源
    《地震学报(英文版)》 |2008年第5期|542-547|共6页
  • 作者单位

    Xiamen Seismic Survey Research Center, Xiamen 361021, China;

    Xiamen Seismic Survey Research Center, Xiamen 361021, China;

    Xiamen Seismic Survey Research Center, Xiamen 361021, China;

    Xiamen Seismic Survey Research Center, Xiamen 361021, China;

    Xiamen Seismic Survey Research Center, Xiamen 361021, China;

    Xiamen Seismic Survey Research Center, Xiamen 361021, China;

    Institute of Geophysical Prospecting, SINOPEC Research Institute of Petroleum Exploration and Development,Nanfing 210014, China;

    Institute of Geophysical Prospecting, SINOPEC Research Institute of Petroleum Exploration and Development,Nanfing 210014, China;

    Xiamen Seismic Survey Research Center, Xiamen 361021, China;

    Xiamen Seismic Survey Research Center, Xiamen 361021, China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 工程地震;
  • 关键词

    blasting vibration; neural network; L-M algorithm; prediction;

    机译:爆破振动;神经网络;L-M算法;预测;
  • 入库时间 2022-08-19 03:55:21
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