大跨空间结构风模拟的改进方法及其小波识别
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摘要
大跨空间结构风速时程模拟需考虑风的时间相关性和空间相关性。利用线性滤波器法并结合快速Fou-rier变换(FFT)对球面网壳结构进行多点脉动风速时程模拟,较好地解决风速时程的模拟精度、模拟速度和计算稳定性问题。利用小波变换良好的时频局部化性质和可变的聚焦特性,针对模拟的风速时程低频含量较少的特点,利用haar小波对风速时程进行小波分解和识别,修正分解后的低频含量。计算显示,重构修正后的风速时程在时域和频域上均更逼近目标风速时程。
In wind speed time history simulation of large-span spatial structures,both time and spatial correlation should be considered.In this paper,linear filter and fast Fourier transform(FFT) are used to simulate multi-nodal wind speed time process for a spatial shell structure.The computation indicates that better simulating precision,efficiency and computational stability for artificial wind speed time process can be gotten by means of this method.Furthermore,with the excellent time-frequency localization trait and alterable focusing characteristic,Haar wavelet is adopted to decompose,identify and modify artificial wind speed time process.It is clear that artificial wind speed time process through wavelet reconstruction and modification is closer to the target wind speed process both in time-domain and in frequency-domain.
In wind speed time history simulation of large-span spatial structures,both time and spatial correlation should be considered.In this paper,linear filter and fast Fourier transform(FFT) are used to simulate multi-nodal wind speed time process for a spatial shell structure.The computation indicates that better simulating precision,efficiency and computational stability for artificial wind speed time process can be gotten by means of this method.Furthermore,with the excellent time-frequency localization trait and alterable focusing characteristic,Haar wavelet is adopted to decompose,identify and modify artificial wind speed time process.It is clear that artificial wind speed time process through wavelet reconstruction and modification is closer to the target wind speed process both in time-domain and in frequency-domain.
引文
1张相庭.结构风压和风振计算[M].上海:同济大学出版社,1985
2舒新玲,周岱,王咏芳.风荷载测试与模拟技术的回顾及展望[J].振动与冲击,2002,21(3):6—10
3 Owen J Setal.The app lication of auto-regressive tim e seriesmodeling for the tim e-frequency analysis of c ivil engineeringstructures[J].Engineering Structures,2001,23:521—536
4赵臣,张小刚,吕伟平.具有空间相关性风场的计算机模拟[J].空间结构,1996,2(2):21—25
5徐长发,李国宽.实用小波方法[M].武汉:华中科技大学出版社,2004
6刘学利,王肇民.高耸结构空间相关风场的模拟研究[J].建筑结构,2000,20(4):45—47
7黄本才.结构抗风分析原理及应用[M].上海:同济大学出版社,2001
8任灵萍,王树亮,郑成增.小波分析与Fourier变换[J].福建电脑,2003,12:55—56
9 Assmoah F.D iscrete wavelet analysis of signal[J].Int.J.Eng-ing.Educ,1999,36:255—264
10谢异同,张同亿,吴敏哲.时程分析中设计地震动调整的小波分析方法[J],地震工程与工程振动,2002,22(3):27—31
11钱惠生,金朝晖,刘顺兰.小波分析与应用[J].杭州电子工业学院学报,1999,19(1):1—8
12李晋平,王大庆,许新刚.用MATLAB实现地震数据的小波变换[J].物探化探计算技术,2002,24(2):163—168
13董小刚,秦喜文.信号消噪的小波处理方法及M atlab实现[J].长春工业大学学报,2003,24(2):1—3
14吴筑海,周岱,符旭晨,辛庆胜.大跨结构风模拟及其小波分析[J].振动与冲击,2004,23(4):34—39
15李宏男,孙鸿敏.小波分析在土木工程领域中的应用[J].世界地震工程,2003,19(2):16—21
2舒新玲,周岱,王咏芳.风荷载测试与模拟技术的回顾及展望[J].振动与冲击,2002,21(3):6—10
3 Owen J Setal.The app lication of auto-regressive tim e seriesmodeling for the tim e-frequency analysis of c ivil engineeringstructures[J].Engineering Structures,2001,23:521—536
4赵臣,张小刚,吕伟平.具有空间相关性风场的计算机模拟[J].空间结构,1996,2(2):21—25
5徐长发,李国宽.实用小波方法[M].武汉:华中科技大学出版社,2004
6刘学利,王肇民.高耸结构空间相关风场的模拟研究[J].建筑结构,2000,20(4):45—47
7黄本才.结构抗风分析原理及应用[M].上海:同济大学出版社,2001
8任灵萍,王树亮,郑成增.小波分析与Fourier变换[J].福建电脑,2003,12:55—56
9 Assmoah F.D iscrete wavelet analysis of signal[J].Int.J.Eng-ing.Educ,1999,36:255—264
10谢异同,张同亿,吴敏哲.时程分析中设计地震动调整的小波分析方法[J],地震工程与工程振动,2002,22(3):27—31
11钱惠生,金朝晖,刘顺兰.小波分析与应用[J].杭州电子工业学院学报,1999,19(1):1—8
12李晋平,王大庆,许新刚.用MATLAB实现地震数据的小波变换[J].物探化探计算技术,2002,24(2):163—168
13董小刚,秦喜文.信号消噪的小波处理方法及M atlab实现[J].长春工业大学学报,2003,24(2):1—3
14吴筑海,周岱,符旭晨,辛庆胜.大跨结构风模拟及其小波分析[J].振动与冲击,2004,23(4):34—39
15李宏男,孙鸿敏.小波分析在土木工程领域中的应用[J].世界地震工程,2003,19(2):16—21
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