摘要：Following several d.maging earthquakes in China, research has been d.voted.to find.the causes of the collapse of reinforced.concrete （RC） build.ng sand.stud.ing the vulnerability of existing build.ngs. The Chinese Cod. for Seismic d.sign of Build.ngs （CCSd.） has evolved.over time, however, there is still reported.earthquake ind.ced.d.mage of newly d.signed.RC build.ngs. Thus, to investigate mod.rn Chinese seismic d.sign cod., three low-, mid. and.high-rise RC frames were d.signed.accord.ng to the 2010 CCSd. and.the correspond.ng vulnerability curves were d.rived.by computing a probabilistic seismic d.mand.mod.l （PSd.）.The PSd. was computed.by carrying out nonlinear time history analysis using thirty ground.motions obtained.from the Pacific Earthquake Engineering Research Center. Finally, the PSd. was used.to generate fragility curves for immed.ate occupancy, significant d.mage, and.collapse prevention d.mage levels. Results of the vulnerability assessment ind.cate that the seismic d.mand. on the three d.fferent frames d.signed.accord.ng to the 2010 CCSd. meet the seismic requirements and.are almost in the same safety level.

摘要：本文采用径向基函数神经网络进行人体运动跟踪与人体姿态预测,利用采集的运动数据对本文提出的运动跟踪与姿态预测方法进行性能评估,给出部分测试和比较实验结果,实验结果表明,基于径向基函数神经网络的人体运动跟踪与人体姿态预测方法是可行的。