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基于响应面分析的淹没水射流破土施工参数优化设计

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。 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.
作者 邱玥钦 蓝雄东 刘剑 王观石 罗嗣海 QIU Yueqin;LAN Xiongdong;LIU Jian;WANG Guanshi;LUO Sihai(School of Civil and Surveying Engineering,Jiangxi University of Science and Technology,Ganzhou Jiangxi 341000,China;School of Resources and Architectural Engineering,Gannan University of science and technology,Ganzhou Jiangxi 341000,China)
出处 《矿业科学学报》 CSCD 北大核心 2024年第1期32-41,共10页 Journal of Mining Science and Technology
基金 江西省教育厅科学技术研究项目(GJJ2200816) 江西理工大学高层次人才科研启动项目(205200100638)。
关键词 水射流破土 ALE算法 响应面法 预测模型 多目标优化 water jet breaking ALE algorithm response surface methodology predictive model multiobjective optimization
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