Optimized design of construction parameters for submerged water jet breaking construction based on response surface analysis
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摘要: 针对水射流破土过程中射流孔深度及径宽难以确定的问题,以圆柱形喷嘴为研究对象,基于拉格朗日-欧拉流固耦合算法建立了淹没水射流破土的有限元模型,并通过室内实验验证了该有限元模型计算结果的准确性。基于响应面法建立了射流孔深度与径宽的预测模型,分析了喷嘴直径、射流靶距和射流压力3个因素及其交互作用对射流孔深度及径宽的影响规律,结合满意度函数对破土施工参数进行优化。结果表明:当选取特定破土深度(10 cm、15 cm和20 cm)时,较大的射流压力(7.2 MPa)、较小的射流靶距(1 cm)及合适的喷嘴直径(0.928 mm、1.164 mm和1.345 mm)可最大程度地保证射流孔的稳定性。针对特定目标破土深度,优化后的射流孔深度及径宽的预测值与实验值的误差均小于15 %,表明预测结果合理可靠。Abstract: This study proposes a finite element model for submerged water jet excavation using a cylindrical nozzle with an aim to determine the depth and diameter of jet orifices during water jet excavation. The model's accuracy was verified through indoor experiments, employing the Lagrangian-Eulerian fluid-solid coupling algorithm. The response surface method was utilized to establish a predictive model for the depth and diameter of jet orifices, which includes the impact of nozzle diameter, jet standoff distance, jet pressure, and their interactions. The construction parameters for jet excavation were optimized using a satisfaction function. Results indicated that for excavation depths of 10 cm, 15 cm, and 20 cm, keeping the stability of the jet orifices to the maximum required higher jet pressure(7.2 MPa), smaller jet standoff distance(1 cm), and an appropriate nozzle diameter(0.928 mm, 1.164 mm, and 1.345 mm). After optimization, the predicted values of jet orifice depth and diameter for the specific target excavation depths showed an error of less than 15 % compared to the experimental values, demonstrating the credibility and reliability of the predictions.
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表 1 土体材料参数
Table 1. Material parameter of soil
参数 测试方法 数值 密度ρ/(g·cm-3) 比重瓶法 2.69 含水率ω/% 烘干法 23.4 剪切模量G/Pa 微型十字板 2.50×106 体积模量K/Pa 旁压仪 1.20×107 黏聚力C/Pa 直剪实验 2.00×104 内摩擦角φ/(°) 4.10×10-1 表 2 模拟与实验数据
Table 2. Simulation and experimental data
工况 深度/cm 径宽/cm 模拟结果 实验结果 模拟结果 实验结果 1 12.40 10.89 4.83 6.69 2 8.60 6.73 3.60 5.13 3 6.30 5.68 3.07 4.91 4 12.90 11.19 3.00 4.13 5 9.20 9.17 4.40 6.15 6 6.46 5.55 2.45 3.21 7 10.60 9.30 3.60 5.12 8 17.36 15.10 4.87 7.19 表 3 实验因素及水平
Table 3. Test factors and levels
因素 编码 水平 -1 0 1 喷嘴直径/mm X1 0.9 1.2 1.5 射流靶距/cm X2 1.0 3.0 5.0 射流压力/MPa X3 3.2 5.0 7.2 表 4 响应面实验设计及结果
Table 4. Response surface test design and results
序号 X1/mm X2/cm X3/MPa Y1/cm Y2/cm 1 -1 -1 0 5.0 3.1 2 1 -1 0 11.3 4.3 3 -1 1 0 4.2 4.0 4 1 1 0 8.1 6.3 5 -1 0 -1 2.5 3.4 6 1 0 -1 7.6 5.1 7 -1 0 1 8.4 4.6 8 1 0 1 19.9 6.6 9 0 -1 -1 7.7 3.0 10 0 1 -1 4.2 4.0 11 0 -1 1 15.8 4.0 12 0 1 1 8.4 5.7 13 0 0 0 9.3 5.1 14 0 0 0 9.3 5.1 15 0 0 0 9.3 5.1 16 0 0 0 9.3 5.1 17 0 0 0 9.3 5.1 表 5 射流孔深度模型方差的分析结果
Table 5. Analytical results of variance of jet hole depth model
方差来源 平方和 自由度 平均方差 F值 P值 显著性 回归模型 265.15 9 29.46 13.16 0.001 3 显著 X1 89.78 1 89.78 40.10 0.000 4 — X2 27.64 1 27.64 12.34 0.009 8 — X3 117.07 1 117.07 52.29 0.000 2 — X1 X2 1.46 1 1.46 0.65 0.445 2 — X1 X3 10.23 1 10.23 4.57 0.069 9 — X2 X3 3.95 1 3.95 1.77 0.225 6 — X12 2.55 1 2.55 1.14 0.321 4 — X22 8.06 1 8.06 3.60 0.099 7 — X32 4.92 1 4.92 2.20 0.181 9 — 残差 15.67 7 2.24 — — — 失拟度 15.67 3 5.22 — — — 纯误差 0.00 4 0.00 — — — 总和 280.83 16 — — — — 表 6 射流孔径宽模型方差的分析结果
Table 6. Analytical results of variance of jet hole diameter width model
方差来源 平方和 自由度 平均方差 F值 P值 显著性 回归模型 17.16 9 1.91 853.50 < 0.000 1 显著 X1 6.52 1 6.52 2 916.67 < 0.000 1 — X2 3.96 1 3.96 1 774.50 < 0.000 1 — X3 3.57 1 3.57 1 597.17 < 0.000 1 — X1 X2 0.33 1 0.33 149.33 < 0.000 1 — X1 X3 0.02 1 0.02 9.33 0.018 5 — X2 X3 0.13 1 0.13 58.33 0.000 1 — X12 0.001 4 1 0.001 4 0.61 0.459 0 — X22 2.31 1 2.31 1 032.19 < 0.000 1 — X32 0.23 1 0.23 103.77 < 0.000 1 — 残差 0.02 7 0.002 2 — — — 失拟度 0.02 3 0.005 2 — — — 纯误差 0.00 4 0.00 — — — 总和 17.18 16 — — — — 表 7 破土施工参数优化设计目标
Table 7. Objectives for optimizing design of construction parameters of ground breaking
待优化参数 取值范围 目标值 最小值 最大值 X1/mm 0.9 1.5 0.9~1.5 X2/cm 1 5 1~5 X3/MPa 3.2 7.2 3.2~7.2 Y1/cm 2.4 20 10,15,20 Y2/cm 2.9 6.5 最小值 表 8 响应面优化设计结果
Table 8. Results of response surface optimized design
方案 设计变量 目标函数值 满意度 喷嘴直径/mm 射流靶距/cm 射流压力/MPa 射流孔深度/cm 射流孔径宽/cm 1 0.928 1 7.2 10 3.33 0.948 2 1.164 1 7.2 15 3.858 0.868 3 1.345 1 7.2 20 4.277 0.757 表 9 优化结果验证
Table 9. Optimization result verification
方案 射流孔深度/cm 误差/% 射流孔径宽/cm 误差/% 预测值 实验值 预测值 实验值 1 10 8.943 11.81 3.33 3.789 12.12 2 15 13.905 7.87 3.858 3.94 2.28 3 20 17.545 13.99 4.277 4.366 2.06 -
[1] 张恋, 吴开兴, 陈陵康, 等. 赣南离子吸附型稀土矿床成矿特征概述[J]. 中国稀土学报, 2015, 33(1): 10-17.ZHANG Lian, WU Kaixing, CHEN Lingkang, et al. Overview of metallogenic features of ion-adsorption type REE deposits in southern Jiangxi Province[J]. Journal of the Chinese Society of Rare Earths, 2015, 33(1): 10-17. [2] 程建忠, 车丽萍. 中国稀土资源开采现状及发展趋势[J]. 稀土, 2010, 31(2): 65-69, 85.CHENG Jianzhong, CHE Liping. Current mining situation and potential development of rare earth in China[J]. Chinese Rare Earths, 2010, 31(2): 65-69, 85. [3] 刘佳亮, 司鹄, 张宏. 淹没状态下高压水射流破岩效率分析[J]. 中国安全科学学报, 2012, 22(11): 23-29.LIU Jialiang, SI Hu, ZHANG Hong. Study on breaking rock efficiency of submerged water jet[J]. China Safety Science Journal, 2012, 22(11): 23-29. [4] 王俊铭, 刘擎, 宝坤. 水力扩孔扰动下穿层抽采钻孔串孔致因研究[J]. 中国安全科学学报, 2019, 29(11): 164-170.WANG Junming, LIU Qing, BAO Kun. Study on causes of string hole in gas extraction cross seam under disturbance of hydraulic reaming[J]. China Safety Science Journal, 2019, 29(11): 164-170. [5] 刘威, 张敬军, 亢方超, 等. 考虑煤体蠕变位移的水力扩孔合理扩煤量[J]. 中国安全科学学报, 2017, 27(3): 111-116.LIU Wei, ZHANG Jingjun, KANG Fangchao, et al. Reasonable coal amount of hydraulic flushing borehole considering creep displacement[J]. China Safety Science Journal, 2017, 27(3): 111-116. [6] 郭嘉赫, 戚绪尧, 王栋, 等. 磨料水射流切割影响因素及切割深度预测模型[J]. 中国安全科学学报, 2020, 30(1): 101-106.GUO Jiahe, QI Xuyao, WANG Dong, et al. Influencing factors and depth prediction model of pre-mixed abrasive water jet cutting[J]. China Safety Science Journal, 2020, 30(1): 101-106. [7] 黄炜, 郭余婷, 葛培, 等. 基于响应面法的聚丙烯纤维再生砖骨料混凝土配合比优化[J]. 中南大学学报: 自然科学版, 2022, 53(7): 2709-2718.HUANG Wei, GUO Yuting, GE Pei, et al. Mixture ratio optimization of polypropylene fiber recycled brick aggregate concrete based on response surface methodology[J]. Journal of Central South University: Science and Technology, 2022, 53(7): 2709-2718. [8] 李莉, 张赛, 何强, 等. 响应面法在试验设计与优化中的应用[J]. 实验室研究与探索, 2015, 34(8): 41-45.LI Li, ZHANG Sai, HE Qiang, et al. Application of response surface methodology in experiment design and optimization[J]. Research and Exploration in Laboratory, 2015, 34(8): 41-45. [9] 党菁, 何玉林, 高阿亮. 基于数值模拟和响应面法的无铆钉滚压连接接头静强度研究[J]. 塑性工程学报, 2022, 29(4): 82-88.DANG Jing, HE Yulin, GAO Aliang. Research on static strength of rolling clinching joint without rivets based on numerical simulation and response surface method[J]. Journal of Plasticity Engineering, 2022, 29(4): 82-88. [10] 温震江, 高谦, 王忠红, 等. 基于RSM-DF的矿渣胶凝材料复合激发剂配比优化[J]. 岩石力学与工程学报, 2020, 39(S1): 3103-3113.WEN Zhenjiang, GAO Qian, WANG Zhonghong, et al. Optimization of compound activator ratio of the ground granulated blast furnace slag powder cementitious material based on RSM-DF[J]. Chinese Journal of Rock Mechanics and Engineering, 2020, 39(S1): 3103-3113. [11] 胡亚飞, 李克庆, 韩斌, 等. 基于响应面法-满意度准则的混合骨料充填体强度发展与优化分析[J]. 中南大学学报: 自然科学版, 2022, 53(2): 620-630.HU Yafei, LI Keqing, HAN Bin, et al. Strength development and optimization analysis of mixed aggregate backfill based on RSM-DF[J]. Journal of Central South University: Science and Technology, 2022, 53(2): 620-630. [12] 张浩, 倪福生, 顾磊, 等. ALE方法及SPH方法模拟高速射流破土过程的对比[J]. 水电能源科学, 2015, 33(11): 75-78.ZHANG Hao, NI Fusheng, GU Lei, et al. Comparison of ALE and SPH method for simulation of process of breaking soil with high-speed jet scouring[J]. Water Resources and Power, 2015, 33(11): 75-78. [13] 蒋斌, 王艾伦, 王计划. 基于ALE方法淹没条件下水射流破土数值模拟与试验[J]. 中国农机化学报, 2020, 41(8): 196-203.JIANG Bin, WANG Ailun, WANG Jihua. Numerical simulation and experiment of breaking soil by jet under submerged condition based on ALE method[J]. Journal of Chinese Agricultural Mechanization, 2020, 41(8): 196-203. [14] 杨志鹏, 刘剑, 蓝雄东, 等. 基于ALE算法的水射流破土特性[J]. 科学技术与工程, 2023, 23(15): 6378-6384.YANG Zhipeng, LIU Jian, LAN Xiongdong, et al. Soil breaking characteristics of water jet based on ALE algorithm[J]. Science Technology and Engineering, 2023, 23(15): 6378-6384. [15] 林晓东, 卢义玉, 汤积仁, 等. 基于SPH-FEM耦合算法的磨料水射流破岩数值模拟[J]. 振动与冲击, 2014, 33(18): 170-176.LIN Xiaodong, LU Yiyu, TANG Jiren, et al. Numerical simulation of abrasive water jet breaking rock with SPH-FEM coupling algorithm[J]. Journal of Vibration and Shock, 2014, 33(18): 170-176. [16] 高彦斌, 汪中为. 应变速率对粘土不排水抗剪强度的影响[J]. 岩石力学与工程学报, 2005, 24(S2): 5779-5783.GAO Yanbin, WANG Zhongwei. Effect of strain rate on undrained shear strength of clays[J]. Chinese Journal of Rock Mechanics and Engineering, 2005, 24(S2): 5779-5783. [17] 顾磊, 倪雁, 周凡, 等. 移动射流切削黏土过程的ALE数值方法[J]. 中国港湾建设, 2018, 38(8): 5-8, 13.GU Lei, NI Yan, ZHOU Fan, et al. ALE numerical method of clay-cutting process by mobile water jet[J]. China Harbour Engineering, 2018, 38(8): 5-8, 13. [18] BOX G E P, WILSON K B. On the experimental attainment of optimum conditions[J]. Journal of the Royal Statistical Society: Series B: Methodological, 1951, 13(1): 1-38. [19] 张有斌, 张文琮, 李叶枢, 等. 基于响应面法的高原红土固化性能试验研究[J]. 材料导报, 2023, 37(S1): 259-264.ZHANG Youbin, ZHANG Wencong, LI Yeshu, et al. Experimental of consolidation performance of laterite in plateau based on RSM[J]. Materials Reports, 2023, 37(S1): 259-264. [20] 韩培壮, 高亚斌, 王飞, 等. 圆锥形喷嘴出口直径对水射流冲击动力特性的影响研究[J]. 中国安全生产科学技术, 2022, 18(7): 75-80.HAN Peizhuang, GAO Yabin, WANG Fei, et al. Study on influence of outlet diameter of conical nozzle on impact dynamic characteristics of water jet[J]. Journal of Safety Science and Technology, 2022, 18(7): 75-80. [21] VERA Candioti L, DE Zan M M, CAMARA M S, et al. Experimental design and multiple response optimization. Using the desirability function in analytical methods development[J]. Talanta, 2014, 124: 123-138. doi: 10.1016/j.talanta.2014.01.034 [22] 吴浩, 赵国彦, 陈英, 等. 基于RSM-DF的矿山充填材料配比优化[J]. 应用基础与工程科学学报, 2019, 27(2): 453-461.WU Hao, ZHAO Guoyan, CHEN Ying, et al. Optimization of mix proportioning of mine filling materials using RSM-DF experiments design method[J]. Journal of Basic Science and Engineering, 2019, 27(2): 453-461.