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Fault Zone Fluid Deep-penetrating Techniques for Potash Deposit Prediction in Lanping-Simao Basin,Yunnan,South China 被引量:1
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作者 BO Ying LIU Chenglin CAO Yangtong 《Acta Geologica Sinica(English Edition)》 SCIE CAS CSCD 2014年第S1期201-202,共2页
In China,the strategic resource potash is suffering from severe shortages,and the ancient marine solid potash locating is still a problem of long impregnability.Till now,only the Mengyejing Potash Deposit was found
关键词 fluid deep-penetrating noble gas prediction Lanping-Simao Basin
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Information characteristics of ground fluid precursors of strong continental earthquakes 被引量:1
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作者 刘耀炜 施锦 《Acta Seismologica Sinica(English Edition)》 CSCD 2000年第1期115-121,共7页
It has become seismologist's common view to attach importance to the study of the characteristics about the relationship among the space distribution of precursory anomalous stations, active structure, deep rock ... It has become seismologist's common view to attach importance to the study of the characteristics about the relationship among the space distribution of precursory anomalous stations, active structure, deep rock character, and different kinds of earthquakes. In this paper, the information characteristics of ground fluid precursors are analyzed with a few examples of earthquakes. The result shows that information characteristics of ground fluid precursors mainly demonstrate, temporally stage and acceleration pattern, specially, swarm and concurrence feature. It is a key scientific problem, we propose, to give deep study on the stage and concurrence pattern for realizing the seismogenic process as well as making relatively correct prediction to the potential earthquake focus and the occurrence time. 展开更多
关键词 strong continental earthquake earthquake prediction ground fluid precursory information
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CFD predictions of LBO limits for aero-engine combustors using fuel iterative approximation 被引量:3
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作者 Hu Bin Huang Yong +1 位作者 Wang Fang Xie Fa 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2013年第1期74-84,共11页
Lean blow-out (LBO) is critical to operational performance of combustion systems in propulsion and power generation. Current predictive tools for LBO limits are based on decadesold empirical correlations that have l... Lean blow-out (LBO) is critical to operational performance of combustion systems in propulsion and power generation. Current predictive tools for LBO limits are based on decadesold empirical correlations that have limited applicability for modern combustor designs. According to the Lefebvre's model for LBO and classical perfect stirred reactor (PSR) concept, a load parameter (LP) is proposed for LBO analysis of aero-engine combustors in this paper. The parameters contained in load parameter are all estimated from the non-reacting flow field of a combustor that is obtained by numerical simulation. Additionally, based on the load parameter, a method of fuel iterative approximation (FIA) is proposed to predict the LBO limit of the combustor. Compared with experimental data for 19 combustors, it is found that load parameter can represent the actual combustion load of the combustor near LBO and have good relativity with LBO fuel/air ratio (FAR). The LBO FAR obtained by FIA shows good agreement with experimental data, the maximum prediction uncertainty of FIA is about ±17.5%. Because only the non-reacting flow is simulated, the time cost of the LBO limit prediction using FIA is relatively low (about 6 h for one combustor with computer equipment of CPU 2.66 GHz · 4 and 4 GB memory), showing that FIA is reliable and efficient to be used for practical applications. 展开更多
关键词 Aero-engine combustor Computational fluid dynamics Fuel iterative approximation LBO limits prediction Perfect stirred reactor
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