Accurate identification and effective support of key blocks are crucial for ensuring the stability and safety of rock slopes.The number of structural planes and rock blocks were reduced in previous studies.This impair...Accurate identification and effective support of key blocks are crucial for ensuring the stability and safety of rock slopes.The number of structural planes and rock blocks were reduced in previous studies.This impairs the ability to characterize complex rock slopes accurately and inhibits the identification of key blocks.In this paper,a knowledge-data dually driven paradigm for accurate identification of key blocks in complex rock slopes is proposed.Our basic idea is to integrate key block theory into data-driven models based on finely characterizing structural features to identify key blocks in complex rock slopes accurately.The proposed novel paradigm consists of(1)representing rock slopes as graph-structured data based on complex systems theory,(2)identifying key nodes in the graph-structured data using graph deep learning,and(3)mapping the key nodes of graph-structured data to corresponding key blocks in the rock slope.Verification experiments and real-case applications are conducted by the proposed method.The verification results demonstrate excellent model performance,strong generalization capability,and effective classification results.Moreover,the real case application is conducted on the northern slope of the Yanqianshan Iron Mine.The results show that the proposed method can accurately identify key blocks in complex rock slopes,which can provide a decision-making basis and rational recommendations for effective support and instability prevention of rock slopes,thereby ensuring the stability of rock engineering and the safety of life and property.展开更多
为了改进传统装备研制中基于文档的系统工程研制模式,进一步提高导弹武器装备研制效率,提出了一种基于模型驱动的导弹突防概率计算与仿真方法。通过引入基于模型的系统工程(Model-Based Systems Engineering,MBSE)理念,结合系统建模语言...为了改进传统装备研制中基于文档的系统工程研制模式,进一步提高导弹武器装备研制效率,提出了一种基于模型驱动的导弹突防概率计算与仿真方法。通过引入基于模型的系统工程(Model-Based Systems Engineering,MBSE)理念,结合系统建模语言(System Modeling Language,SysML)中的需求图、内部模块图、活动图等视图,对战场上各种武器装备的结构、状态和行为进行描述;引入了人在回路的仿真思想,通过在系统级模型中加入“人在回路”的设计,模拟反舰导弹的实际作战过程,使得指挥人员可以参与到仿真流程中并控制关键节点来影响作战进程,增强了仿真进程的可控性;构建攻防双方导弹运动学模型并结合蒙特卡洛法,实现导弹突防概率仿真计算;以海上战争中反舰导弹打击敌方舰队的导弹突防效能评估为例,验证了联合设计与仿真框架的可行性。展开更多
基金supported by the National Natural Science Foundation of China(Grant Nos.42277161,42230709).
文摘Accurate identification and effective support of key blocks are crucial for ensuring the stability and safety of rock slopes.The number of structural planes and rock blocks were reduced in previous studies.This impairs the ability to characterize complex rock slopes accurately and inhibits the identification of key blocks.In this paper,a knowledge-data dually driven paradigm for accurate identification of key blocks in complex rock slopes is proposed.Our basic idea is to integrate key block theory into data-driven models based on finely characterizing structural features to identify key blocks in complex rock slopes accurately.The proposed novel paradigm consists of(1)representing rock slopes as graph-structured data based on complex systems theory,(2)identifying key nodes in the graph-structured data using graph deep learning,and(3)mapping the key nodes of graph-structured data to corresponding key blocks in the rock slope.Verification experiments and real-case applications are conducted by the proposed method.The verification results demonstrate excellent model performance,strong generalization capability,and effective classification results.Moreover,the real case application is conducted on the northern slope of the Yanqianshan Iron Mine.The results show that the proposed method can accurately identify key blocks in complex rock slopes,which can provide a decision-making basis and rational recommendations for effective support and instability prevention of rock slopes,thereby ensuring the stability of rock engineering and the safety of life and property.
文摘为了改进传统装备研制中基于文档的系统工程研制模式,进一步提高导弹武器装备研制效率,提出了一种基于模型驱动的导弹突防概率计算与仿真方法。通过引入基于模型的系统工程(Model-Based Systems Engineering,MBSE)理念,结合系统建模语言(System Modeling Language,SysML)中的需求图、内部模块图、活动图等视图,对战场上各种武器装备的结构、状态和行为进行描述;引入了人在回路的仿真思想,通过在系统级模型中加入“人在回路”的设计,模拟反舰导弹的实际作战过程,使得指挥人员可以参与到仿真流程中并控制关键节点来影响作战进程,增强了仿真进程的可控性;构建攻防双方导弹运动学模型并结合蒙特卡洛法,实现导弹突防概率仿真计算;以海上战争中反舰导弹打击敌方舰队的导弹突防效能评估为例,验证了联合设计与仿真框架的可行性。