In the context of underground mining in metal mines,perforated blasting constitutes a critical component of the operational process.Currently,the design of fan-shaped medium-deep hole blasting charges involves considerable repetitive tasks.Manual interactive adjustments merely satisfy the fundamental design requirements,resulting in significant subjective variability.Both domestic and international scholars have conducted extensive research on the design methodologies for medium-deep hole charges in underground mining.Regarding the application of the empirical rule formula,experts have undertaken comprehensive research on the ring blasting load spacing in underground stopes,optimizing drilling and blasting parameters to furnish a scientific foundation for blasting operations in subterranean mines.In the context of CAD auxiliary tools,certain scholars have employed Visual Lisp and other programming tools to enhance CAD’s secondary development capabilities,thereby enabling the automated design of sector medium-deep hole charges.In the domain of numerical simulation,the parameters are established through an integration of blasting tests and LS-DYNA numerical simulation analysis,leading to the effective optimization of design parameters for fan-shaped medium-deep hole blasting.Regarding intelligent algorithm research,enhanced extreme learning machine (ELM),backpropagation(BP) neural networks,and other algorithms are employed to construct a blasting design model,facilitating the intelligent determination of blasting parameters and optimization of charge. Nonetheless,these methodologies are relatively simplistic and donot incorporate the principles of systems engineering.Therefore,this paper investigated the integration of system engineering optimization methods with the application of blasting design engineering,specifically focusing on the parametric design methodology for medium-deep hole charges in the context of underground mining.The overarching approach is as follows:By considering the spatial constraints of the blasting boundary and the requisite blasting parameters,a mathematical model was formulated based on the principles of parametric charge design.This model was subsequently solved using operations research techniques to derive the optimal charge design.The research findings were developed and implemented using a digital mining software platform.The formulated charging optimization model was applied to the charging design of medium-deep boreholes in an underground mining context.The results indicate that the proportion of ore fragments in the field,when utilizing the parameterized charging design,is significantly lower compared to the man-machine interactive charging design under analogous geological and charging conditions.The proposed method for optimizing the charging design of fan-shaped medium-deep holes in underground mines significantly reduces the workload of design technicians and maximizes the uniformity of energy distribution among the holes. This approach effectively enhances the quality of blasting operations.
CHEN Xin. Research and Application of Model for Fan-shaped Medium-deep Hole Charging Design in Underground Mines[J]. Gold Science and Technology, 2024, 32(6): 1107-1115 doi:10.11872/j.issn.1005-2518.2024.06.060
鉴于此,国内外学者对地下矿扇形中深孔装药设计方法进行了广泛而深入的研究。在经验公式优化领域,学者们深入探讨了地下采场环形爆破载荷的间距问题,通过优化钻孔和爆破参数,为地下矿山的爆破作业提供科学依据(Himanshu et al.,2021)。在CAD辅助工具应用方面,部分学者利用Visual Lisp等工具对CAD软件进行二次功能开发扩展,实现了扇形中深孔装药设计的自动化和高效化(周科平等,2017;刘益超等,2021)。在数值模拟分析方面,结合现场爆破试验和LS-DYN等数值模拟软件,对扇形中深孔爆破参数进行设计和优化,有效提升了爆破作业的安全性(Gao et al.,2023)。此外,在智能算法的探索中,利用改进极限学习机(ELM)和BP神经网络等算法,构建爆破设计模型,实现了爆破参数的智能化设定和装药优化调整(张耿城等,2021)。
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... 鉴于此,国内外学者对地下矿扇形中深孔装药设计方法进行了广泛而深入的研究.在经验公式优化领域,学者们深入探讨了地下采场环形爆破载荷的间距问题,通过优化钻孔和爆破参数,为地下矿山的爆破作业提供科学依据(Himanshu et al.,2021).在CAD辅助工具应用方面,部分学者利用Visual Lisp等工具对CAD软件进行二次功能开发扩展,实现了扇形中深孔装药设计的自动化和高效化(周科平等,2017;刘益超等,2021).在数值模拟分析方面,结合现场爆破试验和LS-DYN等数值模拟软件,对扇形中深孔爆破参数进行设计和优化,有效提升了爆破作业的安全性(Gao et al.,2023).此外,在智能算法的探索中,利用改进极限学习机(ELM)和BP神经网络等算法,构建爆破设计模型,实现了爆破参数的智能化设定和装药优化调整(张耿城等,2021). ...
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... 鉴于此,国内外学者对地下矿扇形中深孔装药设计方法进行了广泛而深入的研究.在经验公式优化领域,学者们深入探讨了地下采场环形爆破载荷的间距问题,通过优化钻孔和爆破参数,为地下矿山的爆破作业提供科学依据(Himanshu et al.,2021).在CAD辅助工具应用方面,部分学者利用Visual Lisp等工具对CAD软件进行二次功能开发扩展,实现了扇形中深孔装药设计的自动化和高效化(周科平等,2017;刘益超等,2021).在数值模拟分析方面,结合现场爆破试验和LS-DYN等数值模拟软件,对扇形中深孔爆破参数进行设计和优化,有效提升了爆破作业的安全性(Gao et al.,2023).此外,在智能算法的探索中,利用改进极限学习机(ELM)和BP神经网络等算法,构建爆破设计模型,实现了爆破参数的智能化设定和装药优化调整(张耿城等,2021). ...
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2015
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2022
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2008
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2017
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2013
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2017
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... 鉴于此,国内外学者对地下矿扇形中深孔装药设计方法进行了广泛而深入的研究.在经验公式优化领域,学者们深入探讨了地下采场环形爆破载荷的间距问题,通过优化钻孔和爆破参数,为地下矿山的爆破作业提供科学依据(Himanshu et al.,2021).在CAD辅助工具应用方面,部分学者利用Visual Lisp等工具对CAD软件进行二次功能开发扩展,实现了扇形中深孔装药设计的自动化和高效化(周科平等,2017;刘益超等,2021).在数值模拟分析方面,结合现场爆破试验和LS-DYN等数值模拟软件,对扇形中深孔爆破参数进行设计和优化,有效提升了爆破作业的安全性(Gao et al.,2023).此外,在智能算法的探索中,利用改进极限学习机(ELM)和BP神经网络等算法,构建爆破设计模型,实现了爆破参数的智能化设定和装药优化调整(张耿城等,2021). ...
... 鉴于此,国内外学者对地下矿扇形中深孔装药设计方法进行了广泛而深入的研究.在经验公式优化领域,学者们深入探讨了地下采场环形爆破载荷的间距问题,通过优化钻孔和爆破参数,为地下矿山的爆破作业提供科学依据(Himanshu et al.,2021).在CAD辅助工具应用方面,部分学者利用Visual Lisp等工具对CAD软件进行二次功能开发扩展,实现了扇形中深孔装药设计的自动化和高效化(周科平等,2017;刘益超等,2021).在数值模拟分析方面,结合现场爆破试验和LS-DYN等数值模拟软件,对扇形中深孔爆破参数进行设计和优化,有效提升了爆破作业的安全性(Gao et al.,2023).此外,在智能算法的探索中,利用改进极限学习机(ELM)和BP神经网络等算法,构建爆破设计模型,实现了爆破参数的智能化设定和装药优化调整(张耿城等,2021). ...
... 鉴于此,国内外学者对地下矿扇形中深孔装药设计方法进行了广泛而深入的研究.在经验公式优化领域,学者们深入探讨了地下采场环形爆破载荷的间距问题,通过优化钻孔和爆破参数,为地下矿山的爆破作业提供科学依据(Himanshu et al.,2021).在CAD辅助工具应用方面,部分学者利用Visual Lisp等工具对CAD软件进行二次功能开发扩展,实现了扇形中深孔装药设计的自动化和高效化(周科平等,2017;刘益超等,2021).在数值模拟分析方面,结合现场爆破试验和LS-DYN等数值模拟软件,对扇形中深孔爆破参数进行设计和优化,有效提升了爆破作业的安全性(Gao et al.,2023).此外,在智能算法的探索中,利用改进极限学习机(ELM)和BP神经网络等算法,构建爆破设计模型,实现了爆破参数的智能化设定和装药优化调整(张耿城等,2021). ...