为了实现叶绿素a浓度数据的三维动态可视化效果,针对海洋环境数据多维、多时间及多格式等特点,在全面分析NetCDF(network Common Data Form)数据模型的格式、存储的基础上,结合GPU(Graphics Processing Unit)与osgEarth三维地球虚拟场景...为了实现叶绿素a浓度数据的三维动态可视化效果,针对海洋环境数据多维、多时间及多格式等特点,在全面分析NetCDF(network Common Data Form)数据模型的格式、存储的基础上,结合GPU(Graphics Processing Unit)与osgEarth三维地球虚拟场景,提出一套海洋环境中叶绿素a浓度的动态可视化方法。实验表明,该方法具有一定的可行性和高效性,为海洋环境数据的动态可视化与分析提供了强有力的可视化平台。展开更多
When evaluating the seismic safety and reliability of complex engineering structures,it is a critical problem to reasonably consider the randomness and multi-dimensional nature of ground motions.To this end,a proposed...When evaluating the seismic safety and reliability of complex engineering structures,it is a critical problem to reasonably consider the randomness and multi-dimensional nature of ground motions.To this end,a proposed modeling strategy of multi-dimensional stochastic earthquakes is addressed in this study.This improved seismic model has several merits that enable it to better provide seismic analyses of structures.Specifically,at first,the ground motion model is compatible with the design response spectrum.Secondly,the evolutionary power spectrum involved in the model and the design response spectrum are constructed accordingly with sufficient consideration of the correlation between different seismic components.Thirdly,the random function-based dimension-reduction representation is applied,by which seismic modeling is established,with three elementary random variables.Numerical simulations of multi-dimensional stochastic ground motions in a specific design scenario indicate the effectiveness of the proposed modeling strategy.Moreover,the multi-dimensional seismic response and the global reliability of a high-rise frame-core tube structure is discussed in detail to further illustrate the engineering applicability of the proposed method.The analytical investigations demonstrate that the suggested stochastic model of multi-dimensional ground motion is available for accurate seismic response analysis and dynamic reliability assessment of complex engineering structures for performance-based seismic resistance design.展开更多
文摘为了实现叶绿素a浓度数据的三维动态可视化效果,针对海洋环境数据多维、多时间及多格式等特点,在全面分析NetCDF(network Common Data Form)数据模型的格式、存储的基础上,结合GPU(Graphics Processing Unit)与osgEarth三维地球虚拟场景,提出一套海洋环境中叶绿素a浓度的动态可视化方法。实验表明,该方法具有一定的可行性和高效性,为海洋环境数据的动态可视化与分析提供了强有力的可视化平台。
基金National Natural Science Foundation of China under Grant Nos.51978543,52108444,and 51778343Plan of Outstanding Young and Middle-aged Scientific and Technological Innovation Team in the Universities of Hubei Province with Project No.T2020010Natural Science Foundation of Hebei Province under Grant No.E2021512001。
文摘When evaluating the seismic safety and reliability of complex engineering structures,it is a critical problem to reasonably consider the randomness and multi-dimensional nature of ground motions.To this end,a proposed modeling strategy of multi-dimensional stochastic earthquakes is addressed in this study.This improved seismic model has several merits that enable it to better provide seismic analyses of structures.Specifically,at first,the ground motion model is compatible with the design response spectrum.Secondly,the evolutionary power spectrum involved in the model and the design response spectrum are constructed accordingly with sufficient consideration of the correlation between different seismic components.Thirdly,the random function-based dimension-reduction representation is applied,by which seismic modeling is established,with three elementary random variables.Numerical simulations of multi-dimensional stochastic ground motions in a specific design scenario indicate the effectiveness of the proposed modeling strategy.Moreover,the multi-dimensional seismic response and the global reliability of a high-rise frame-core tube structure is discussed in detail to further illustrate the engineering applicability of the proposed method.The analytical investigations demonstrate that the suggested stochastic model of multi-dimensional ground motion is available for accurate seismic response analysis and dynamic reliability assessment of complex engineering structures for performance-based seismic resistance design.
