| 水下爆破动水压力预测及衰减规律研究 |
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| 引用本文： | 张天宇.水下爆破动水压力预测及衰减规律研究[J].海洋通报,2022(1):114-120. |
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| 作者姓名： | 张天宇 |
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| 作者单位： | 中铁第一勘察设计院集团有限公司，陕西 西安 710043； 陕西省铁道及地下交通工程重点实验室，陕西 西安 710043 |
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| 摘 要： | 本文基于传统的Cole动水压力预测公式，采用量纲分析法建立了考虑多影响因素的动水压力相似准数方程，并在此基础上进行现场监测试验，依据试验数据进行非线性回归运算，得出水下爆破动水压力预测模型公式相关参数。将得到的参数回代入Cole公式和新建模型公式进行预测误差估计和准确度评价分析，二者相对误差范围分别为0.64%～17.11%和0.08%～6.53%，平均相对误差分别为7.31%和3.33%，证明了新建模型公式对动水压力峰值的预测相比传统Cole公式更接近于实际。同时依据修正得到的模型公式对动水压力衰减规律进行分析，结果表明：动水压力峰值随着单段最大药量的增加而增大，随着传播至覆盖层表面振速峰值的增大而增大，随着距爆心水平距离的增大而不断衰减。
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| 关 键 词： | 水下爆破 量纲分析 动水压力 非线性回归运算 相对误差 衰减规律 |
| 收稿时间： | 2021/6/1 0:00:00 |
| 修稿时间： | 2021/8/31 0:00:00 |
Prediction and attenuation of hydrodynamic pressure in underwater blasting |
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| ZHANG Tianyu.Prediction and attenuation of hydrodynamic pressure in underwater blasting[J].Marine Science Bulletin,2022(1):114-120. |
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| Authors: | ZHANG Tianyu |
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| Institution: | China Railway First Survey and Design Institute Group Ltd, Xi''an 710043, China; Shaanxi Key Laboratory of Railway and Underground Transportation Engineering, Xi''an 710043, China |
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| Abstract: | Based on the traditional Cole dynamic water pressure prediction formula, the similarity quasi number equation of dynamic water pressure considering multiple factors is established by dimensional analysis. Then the field monitoring test is carried out, based on which the nonlinear regression calculation is carried out to obtain the parameters of the prediction model formula of dynamic water pressure of blasting under water. The error analysis shows that the new model is more accurate than
the traditional Cole formula. The relative error range is 0.64%~17.11% and 0.08%~6.53%, respectively, and the average relative error is 7.31% and 3.33%, respectively. The results show that the peak value of dynamic water pressure increases with the increase of the maximum charge of a single section, and increases with the peak velocity of the surface of the cover layer, while decreases with the increase of the horizontal distance from the detonation center. |
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| Keywords: | under water blasting dimensional analysis hydrodynamic pressure nonlinear regression operation error estimation attenuation law |
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