The simulation model Tunev（tunnel evacuation） was developed for people＇s evacuation in tunnel fire. It contains simple database of the people＇s behavioral reaction and structure characteristic parameters of tunnel...The simulation model Tunev（tunnel evacuation） was developed for people＇s evacuation in tunnel fire. It contains simple database of the people＇s behavioral reaction and structure characteristic parameters of tunnel fireproofing. The model can be used to calculate the total evacuation time in various scenes when fire occurs in the different locations of the tunnel. Combined with fire simulation soft ware CFD- POENICS3.5, Tunev model can be used to calculate the fire danger coming time; by comparing with these two kinds of time, it can be used to assess the safety of the evacuation, and the evacuation process also have a dynamic demo. The simulation results show that the Tunev model can be used to predict the reliability of safe evacuation for people in tunnel fire and provide references for people＇s safe escape scheme. Some relevant concepts of the model were described and an evacuation simulation of a typical tunnel case, i.e. Xuefeng Mountain Tunnel was performed by using this model. And the model＇s validation and actual aoolication were also described.展开更多
The accuracy of present flatness predictive method is limited and it just belongs to software simulation. In order to improve it, a novel flatness predictive model via T-S cloud reasoning network implemented by digita...The accuracy of present flatness predictive method is limited and it just belongs to software simulation. In order to improve it, a novel flatness predictive model via T-S cloud reasoning network implemented by digital signal processor(DSP) is proposed. First, the combination of genetic algorithm(GA) and simulated annealing algorithm(SAA) is put forward, called GA-SA algorithm, which can make full use of the global search ability of GA and local search ability of SA. Later, based on T-S cloud reasoning neural network, flatness predictive model is designed in DSP. And it is applied to 900 HC reversible cold rolling mill. Experimental results demonstrate that the flatness predictive model via T-S cloud reasoning network can run on the hardware DSP TMS320 F2812 with high accuracy and robustness by using GA-SA algorithm to optimize the model parameter.展开更多
DEM数据源及分辨率会影响流域特征参数的提取,进而影响水文模拟结果。将ASTER 30 m DEM、SRTM 90 m DEM及基于ASTER 30 m DEM的40 m、50 m、60 m、70 m、80 m、90 m重采样DEM作为HEC-geo HMS模型输入,提取流域特征,采用HEC-HMS模型,以...DEM数据源及分辨率会影响流域特征参数的提取,进而影响水文模拟结果。将ASTER 30 m DEM、SRTM 90 m DEM及基于ASTER 30 m DEM的40 m、50 m、60 m、70 m、80 m、90 m重采样DEM作为HEC-geo HMS模型输入,提取流域特征,采用HEC-HMS模型,以西笤溪流域为研究区域,分析2011年6月和2011年8—9月的两场降雨径流过程中,DEM数据源和分辨率对水文模拟输出的影响。研究结果表明,两次径流模拟结果与实测数据拟合都较好,模型确定性系数都大于0.82,但是单峰的洪水模拟效果总体更好,基于SRTM 90 m的模型确定性系数比基于ASTER 30 m DEM、重采样90 m DEM的模型确定性系数都大。基于重采样DEM的模型确定性系数变化较大,而且与分辨率的变化呈非线性关系。在HEC-HMS的模拟中,基于ASTER 30 m DEM和基于SRTM 90 m DEM的模拟输出结果相对误差相差3%~5%,基于SRTM 90 m DEM和基于重采样90 m DEM的模拟输出结果相对误差相差2%~4%,基于重采样DEM的模拟输出结果相对误差相差最大达到了11%。展开更多
研究部署与任务期间导弹武器系统可用性建模方法与仿真实验设计。阐述了可用性概念,明确了量化指标,构建建模与仿真(modeling and simulation,M&S)一体化框架,利用分层组合的思想,提出了基于体系-实体-行为-状态(system-of-system,e...研究部署与任务期间导弹武器系统可用性建模方法与仿真实验设计。阐述了可用性概念,明确了量化指标,构建建模与仿真(modeling and simulation,M&S)一体化框架,利用分层组合的思想,提出了基于体系-实体-行为-状态(system-of-system,entity,behavior,state,SEBS)的可用性建模方法,即以体系组织集成建模为框架,以变结构实体建模为主体,以可用性为中心的行为建模为支撑,以基于故障与战损的可用状态建模为核心,并对模型的形式化描述展开研究。探讨了仿真实验设计的关键技术,提出基于测试-使用-维修-保障(test,operation,maintain,support,TOMS)的实验空间串联分割方法,并对随机变量建模、仿真优化设计、仿真系统可信度评估进行阐述。仿真结果表明,该分层组合评估方法快捷有效,仿真实验设计合理可行,极大地提高了可用性评估和分析的效率,为精确保障奠定了基础。展开更多
基金Project (20033179802) supported by the Science and Technology Programof China Western Transportation Development
文摘The simulation model Tunev（tunnel evacuation） was developed for people＇s evacuation in tunnel fire. It contains simple database of the people＇s behavioral reaction and structure characteristic parameters of tunnel fireproofing. The model can be used to calculate the total evacuation time in various scenes when fire occurs in the different locations of the tunnel. Combined with fire simulation soft ware CFD- POENICS3.5, Tunev model can be used to calculate the fire danger coming time; by comparing with these two kinds of time, it can be used to assess the safety of the evacuation, and the evacuation process also have a dynamic demo. The simulation results show that the Tunev model can be used to predict the reliability of safe evacuation for people in tunnel fire and provide references for people＇s safe escape scheme. Some relevant concepts of the model were described and an evacuation simulation of a typical tunnel case, i.e. Xuefeng Mountain Tunnel was performed by using this model. And the model＇s validation and actual aoolication were also described.
基金Project(E2015203354)supported by Natural Science Foundation of Steel United Research Fund of Hebei Province,ChinaProject(ZD2016100)supported by the Science and the Technology Research Key Project of High School of Hebei Province,China+1 种基金Project(LJRC013)supported by the University Innovation Team of Hebei Province Leading Talent Cultivation,ChinaProject(16LGY015)supported by the Basic Research Special Breeding of Yanshan University,China
文摘The accuracy of present flatness predictive method is limited and it just belongs to software simulation. In order to improve it, a novel flatness predictive model via T-S cloud reasoning network implemented by digital signal processor(DSP) is proposed. First, the combination of genetic algorithm(GA) and simulated annealing algorithm(SAA) is put forward, called GA-SA algorithm, which can make full use of the global search ability of GA and local search ability of SA. Later, based on T-S cloud reasoning neural network, flatness predictive model is designed in DSP. And it is applied to 900 HC reversible cold rolling mill. Experimental results demonstrate that the flatness predictive model via T-S cloud reasoning network can run on the hardware DSP TMS320 F2812 with high accuracy and robustness by using GA-SA algorithm to optimize the model parameter.
文摘DEM数据源及分辨率会影响流域特征参数的提取,进而影响水文模拟结果。将ASTER 30 m DEM、SRTM 90 m DEM及基于ASTER 30 m DEM的40 m、50 m、60 m、70 m、80 m、90 m重采样DEM作为HEC-geo HMS模型输入,提取流域特征,采用HEC-HMS模型,以西笤溪流域为研究区域,分析2011年6月和2011年8—9月的两场降雨径流过程中,DEM数据源和分辨率对水文模拟输出的影响。研究结果表明,两次径流模拟结果与实测数据拟合都较好,模型确定性系数都大于0.82,但是单峰的洪水模拟效果总体更好,基于SRTM 90 m的模型确定性系数比基于ASTER 30 m DEM、重采样90 m DEM的模型确定性系数都大。基于重采样DEM的模型确定性系数变化较大,而且与分辨率的变化呈非线性关系。在HEC-HMS的模拟中,基于ASTER 30 m DEM和基于SRTM 90 m DEM的模拟输出结果相对误差相差3%~5%,基于SRTM 90 m DEM和基于重采样90 m DEM的模拟输出结果相对误差相差2%~4%,基于重采样DEM的模拟输出结果相对误差相差最大达到了11%。
文摘研究部署与任务期间导弹武器系统可用性建模方法与仿真实验设计。阐述了可用性概念,明确了量化指标,构建建模与仿真(modeling and simulation,M&S)一体化框架,利用分层组合的思想,提出了基于体系-实体-行为-状态(system-of-system,entity,behavior,state,SEBS)的可用性建模方法,即以体系组织集成建模为框架,以变结构实体建模为主体,以可用性为中心的行为建模为支撑,以基于故障与战损的可用状态建模为核心,并对模型的形式化描述展开研究。探讨了仿真实验设计的关键技术,提出基于测试-使用-维修-保障(test,operation,maintain,support,TOMS)的实验空间串联分割方法,并对随机变量建模、仿真优化设计、仿真系统可信度评估进行阐述。仿真结果表明,该分层组合评估方法快捷有效,仿真实验设计合理可行,极大地提高了可用性评估和分析的效率,为精确保障奠定了基础。
