泥石流具有突发性、速度快、破坏力强的特点,其运动规律研究和危险性预测,具有重要的现实意义和理论价值。基于GPU(图形处理单元)加速技术的二维水动力模型,采用二阶Godunov格式有限体积法求解方程,以确保计算精度,并使用GPU加速技术提...泥石流具有突发性、速度快、破坏力强的特点,其运动规律研究和危险性预测,具有重要的现实意义和理论价值。基于GPU(图形处理单元)加速技术的二维水动力模型,采用二阶Godunov格式有限体积法求解方程,以确保计算精度,并使用GPU加速技术提高了计算效率。以溃坝型水槽泥石流运动特征及贵州省普洒村滑坡泥石流危险范围预测作为模拟参照,利用所构建的GAST(GPU Accelerated Surface Water Flow and Transport Model)二维水动力模型完成泥石流理想水槽试验模拟和危险范围预测。结果表明:数值模拟与实测结果吻合度较高;GPU加速技术的应用有效解决了泥石流模拟过程中计算量大的问题,在PC机上模型运行快速高效。此模型为泥石流运动规律模拟与预测提供了新方法,为防灾减灾提供了技术支撑。展开更多
In allusion to the limitations of the traditional attitude measurement system consisting of a three-axis magnetic sensor and two accelerometers on high-spinning projectile, a new scheme comprised of two magnetic senso...In allusion to the limitations of the traditional attitude measurement system consisting of a three-axis magnetic sensor and two accelerometers on high-spinning projectile, a new scheme comprised of two magnetic sensors and two accelerometers installed in a particular way is given. The configuration of the sensors is described. The calculation method and the mathematical model of the projectile attitude based on the sensor configuration are discussed. The basic calculation method including the Magsonde Window, the proof of the ratios of maximums and minimums and the calculation of the attitude angles are analyzed in theory. Finally, the system is simulated under the given conditions. The simulation result indicates that the estimated attitude angles are in agreement with the true attitude angles.展开更多
Aim Interactive multiple model(IMM) algorithm was introduced into two? stage estimation to improve the estimating accuracy for system position and velocity.Methods The state estimation was carried out in mixed coor...Aim Interactive multiple model(IMM) algorithm was introduced into two? stage estimation to improve the estimating accuracy for system position and velocity.Methods The state estimation was carried out in mixed coordinates according to the nonlinear measure equation, a generalized interactive acceleration compensation(IAC) algorithm in mixed coordinate was presented. Results Simulation result shows the estimation accuracy is improved through changing measure equation in polar coordinates. Conclusion The estimation accuracy for position and velocity estimation, has been improved greatly, and the proposed algorithm has the advantage of less calculating time comparing with other multiple model methods.展开更多
文摘泥石流具有突发性、速度快、破坏力强的特点,其运动规律研究和危险性预测,具有重要的现实意义和理论价值。基于GPU(图形处理单元)加速技术的二维水动力模型,采用二阶Godunov格式有限体积法求解方程,以确保计算精度,并使用GPU加速技术提高了计算效率。以溃坝型水槽泥石流运动特征及贵州省普洒村滑坡泥石流危险范围预测作为模拟参照,利用所构建的GAST(GPU Accelerated Surface Water Flow and Transport Model)二维水动力模型完成泥石流理想水槽试验模拟和危险范围预测。结果表明:数值模拟与实测结果吻合度较高;GPU加速技术的应用有效解决了泥石流模拟过程中计算量大的问题,在PC机上模型运行快速高效。此模型为泥石流运动规律模拟与预测提供了新方法,为防灾减灾提供了技术支撑。
文摘In allusion to the limitations of the traditional attitude measurement system consisting of a three-axis magnetic sensor and two accelerometers on high-spinning projectile, a new scheme comprised of two magnetic sensors and two accelerometers installed in a particular way is given. The configuration of the sensors is described. The calculation method and the mathematical model of the projectile attitude based on the sensor configuration are discussed. The basic calculation method including the Magsonde Window, the proof of the ratios of maximums and minimums and the calculation of the attitude angles are analyzed in theory. Finally, the system is simulated under the given conditions. The simulation result indicates that the estimated attitude angles are in agreement with the true attitude angles.
文摘Aim Interactive multiple model(IMM) algorithm was introduced into two? stage estimation to improve the estimating accuracy for system position and velocity.Methods The state estimation was carried out in mixed coordinates according to the nonlinear measure equation, a generalized interactive acceleration compensation(IAC) algorithm in mixed coordinate was presented. Results Simulation result shows the estimation accuracy is improved through changing measure equation in polar coordinates. Conclusion The estimation accuracy for position and velocity estimation, has been improved greatly, and the proposed algorithm has the advantage of less calculating time comparing with other multiple model methods.
