Paper Titles
Study on Machining Dental Implants by Whirling Approach
p.1506
Analysis and Simulation on the Connection Strength of Flareless Tube Fittings
p.1514
Microencapsulation of Cajuput Oil by Spray Drying: Influence of Wall Systems on the Oil Retention and Storage
p.1518
Effect of Solidification Pressure on Secondary Dendrite Arm Spacing of Aluminum Alloy
p.1522
Study on State Recognition of ASCE Benchmark FEM Based on Lyapunov Exponent Spectrum Entropy
p.1526
Floating Grains in the HDC Casting 7075 Aluminum Alloy Ingot
p.1531
Finite Element Analysis and Topology Optimization of the Clamping Unit in a Two-Platen Injection Machine
p.1535
Static Analysis of Curved Beams with Clamped-Clamped Ends under Thermo Load
p.1543
Study on the Influence Factors of Real Estate Price Based on Regression Model — The Case of Jilin City
p.1547

Study on State Recognition of ASCE Benchmark FEM Based on Lyapunov Exponent Spectrum Entropy

Article Preview

Abstract:

In this paper, ASCE Benchmark Finite Element Model was established and analyzed. Also, The MLI(the max Lyapunov Index) and LISE(Lyapunov Index Spectrum Entropy) has made to recognize state of the FEM using non-linear theory and chaos time sequence. The results show that MLI and LISE are sensitive with the structure state, and the structure system is chaotic.

You might also be interested in these eBooks
Materials and Computational Mechanics View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 117-119)

Pages:

1526-1530

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.117-119.1526

Citation:

Cite this paper

Online since:

October 2011

Authors:

Jian Xi Yang, Jian Ting Zhou, Feng Qing Han

Keywords:

ASCE Benchmark, Chaos, Finite Element Model (FEM), Max Lyapunov Index, Spectrum Entropy, State Recognition

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

References

[1] Jianxi Yang, Zhi Deng, Non-linear Study on Chaos in Bridge Structures Based on Chaos Time Sequence [J]. Intelligent Automation and Soft Computing, Vol. 15, No. X, pp.1-9, (2009)

DOI: 10.1080/10798587.2010.10643113

Google Scholar

[2] Jianting Zhou, Yue Chen, Yin Lu, Lyapunov Exponent Analysis on real-time Monitoring Information of Extractive Structure Health Based on Chaos Time Sequence[J]. Intelligent Automation and Soft Computing, Vol. 15, No. X, pp.1-9, (2009)

DOI: 10.1080/10798587.2010.10643116

Google Scholar

[3] Kejun Xu, Longping Jiang, Study of Fault Diagnosis for Aircraft Engine based on Lyapunov Exponents [J], Chinese Journal of Applied Mechanics, 2006, vol (23).3:488-492

Google Scholar

[4] E. A. Johnson A.M, H. F. Lam L. S. Phase I IASC-ASCE Structural Health Monitoring Benchmark Problem Using Simulated Data, Journal of Engineering Mechanics, 2004 / 3

DOI: 10.1061/(asce)0733-9399(2004)130:1(3)

Google Scholar

[5] E.A. Johnson, H.F. Lam, L.S. Karafygiotis, et al. A Benchmark Problem for Structure Health Monitoring and Damage Detection. Proceedings of the Engineering Mechanics Specialty Conference. Austin, Texas, 2000.

Google Scholar

[6] Xinmei Wang. ANSYS numerical analysis of engineering structures, People's Communication Press, 2007.

Google Scholar

[7] Zonghua Liu, chief author. Chaos dynamics foundation and application [M].Beijing: Higher Education Press, 2006.

Google Scholar