[1]杜喜朋,吴琛,项洪,等.地震动混沌特性判别及影响因素分析[J].福建工程学院学报,2018,16(03):236-241.[doi:10.3969/j.issn.1672-4348.2018.03.007]
　DU Xipeng,WU Chen,XIANG Hong,et al.Identification of the chaotic characteristics of ground motion and analysis of its influencing factors[J].Journal of FuJian University of Technology,2018,16(03):236-241.[doi:10.3969/j.issn.1672-4348.2018.03.007]
点击复制

地震动混沌特性判别及影响因素分析()
分享到：

《福建工程学院学报》[ISSN:2097-3853/CN:35-1351/Z]

卷:
第16卷
期数:
2018年03期
页码:
236-241
栏目:
出版日期:
2018-06-25

文章信息/Info

Title:
Identification of the chaotic characteristics of ground motion and analysis of its influencing factors
作者:
杜喜朋; 吴琛; 项洪; 邓智元
福建工程学院土木工程学院
Author(s):
DU Xipeng;  WU Chen;  XIANG Hong;  DENG Zhiyuan
School of Civil Engineering, Fujian University of Technology
关键词:
地震动;  主成分分析;  混沌时间序列分析方法;  最大Lyapunov指数;  Kolmogorov熵
Keywords:
ground motion;  principal component analysis;  chaotic time series analysis;  maximal Lyapunov exponent;  Kolmogorov entropy
分类号:
P315.9
DOI:
10.3969/j.issn.1672-4348.2018.03.007
文献标志码:
A
摘要:
采用主成分分析法与混沌时间序列分析方法对地震动的非线性特性进行分析，分别从定性与定量的角度考察地震动的非线性特性；探讨了地震动的要素对其混沌特性的影响。结果表明：地震动最大幅值的变化对混沌特性没有影响，而持时、频谱特性、采样频率等要素对混沌的定量指标均产生了影响。
Abstract:
The principal component analysis and chaotic time series analysis methods were applied to analyze the ground motion’s nonlinear characteristics, which were investigated from both the qualitative and quantitative perspectives. The influence of the key elements of the ground motion on its chaotic characteristics was discussed. Results show that the change of the maximum value of ground motion has no effect on the chaotic characteristics. Such key elements as the duration, spectrum characteristics, sampling frequency and so on have impacts on the quantitative indicators of the chaos.

参考文献/References:

[1] 吴琛,周瑞忠.基于Hilbert谱的结构动力响应非线性特征分析[J].振动与冲击,2013,32(14):70-76.
[2] HOUSNER G W. Characteristic of strong motion of earthquakes [J]. Bulletin of the Seismological Society of America, 1947, 37(1): 19-31.
[3] 胡聿贤.地震工程学[M].2版.北京：地震出版社,2006.
[4] 杨迪雄,杨丕鑫. 强震地面运动的混沌特性分析[J].防灾减灾工程学报,2009,29(3):252-260.
[5] 彭蛟龙.陆地地震勘探环境噪声混沌特性及建模研究[D].长春:吉林大学,2013.
[6] 宋春艳.基于混沌理论的信息加密技术研究[D].哈尔滨:哈尔滨工程大学,2013.
[7] 韩敏.混沌时间序列预测理论与方法[M].北京:中国水利水电出版社,2007.
[8] 吕金虎,陆君安,陈士华.混动时间序列分析及其应用[M].武汉:武汉大学出版社,2002.
[9] 张挺.基于混沌理论检测微弱地震信号方法的探讨[D].西安:长安大学,2013.
[10] 胡雪兰.三维自治混沌系统的分析、同步与电路实现[D].天津:天津大学,2015.
[11] 吴琛,周瑞忠.Hilbert-Huang变换在提取地震信号动力特性中的应用[J].地震工程与工程振动,2006,26(5):41-46.
[12] 中国人民共和国住房和城乡建设部.建筑抗震设计规范:GB 50011-2010[S].北京:中国建筑工业出版社,2010.

相似文献/References:

[1]郑文婷,林文,肖一,等.典型矮塔斜拉桥地震风险概率评估方法研究[J].福建工程学院学报,2019,17(01):29.[doi:10.3969/j.issn.1672-4348.2019.01.006]
　ZHENG Wenting,LIN Wen,XIAO Yi,et al.Assessment of the seismic risk probability of a typical lower-tower cable-stayed bridge[J].Journal of FuJian University of Technology,2019,17(03):29.[doi:10.3969/j.issn.1672-4348.2019.01.006]
[2]庄伟卿,王浩燃.基于PCA-PSO-RBF模型的水产品冷链物流需求预测[J].福建工程学院学报,2023,21(04):401.[doi:10.3969/j.issn.1672-4348.2023.04.014]
　ZHUANG Weiqing,WANG Haoran.Prediction of cold chain logistics demand for aquatic products based onPCAPSORBF model[J].Journal of FuJian University of Technology,2023,21(03):401.[doi:10.3969/j.issn.1672-4348.2023.04.014]

更新日期/Last Update: 2018-06-25