scholarly journals Form Finding and Collapse Analysis of Cable Nets Under Dynamic Loads Based on Finite Particle Method

2018 ◽  
Vol 117 (1) ◽  
pp. 73-89
Author(s):  
Ying Yu ◽  
Ping Xia ◽  
Chunwei Yang
2011 ◽  
Vol 201-203 ◽  
pp. 1166-1169
Author(s):  
Xian Xu ◽  
Ying Yu ◽  
Yao Zhi Luo ◽  
Yan Bin Shen

In this paper, a new method, so-called finite particle method, for form-finding of tensegrity systems is proposed. It models the analyzed domain by finite particles instead of mathematical functions and continuous bodies in traditional mechanics. Examples including simple regular tensegrity systems and complex irregular tensegrity systems are carried out to verify the feasibility and effectiveness of the method. Also a comparison between the proposed method and the dynamic relaxation method is conducted. It proves that the proposed method is much more effective than the dynamic relaxation method in the form-finding of large-scale tensegrity systems. Hence, the proposed method has a great potential of developing into a general and effective form-finding method for irregular and large-scale tensegrity systems.


2015 ◽  
Vol 61 ◽  
pp. 24-31 ◽  
Author(s):  
Francis Aish ◽  
Sam Joyce ◽  
Samar Malek ◽  
Chris J.K. Williams

2016 ◽  
Vol 14 (05) ◽  
pp. 1750050 ◽  
Author(s):  
Lu Wang ◽  
Fei Xu ◽  
Yang Yang

Compared with the traditional Smoothed Particle Hydrodynamics (SPH), Finite Particle Method (FPM) has higher accuracy for boundary region. However, there are still two inherent defects which are the time consuming and the numerical instability in FPM. In this paper, a high-order algorithm based on the Taylor series expansion and the matrix theory is proposed and the corresponding particles selected mode is discussed. It is validated that the algorithm has higher-order accuracy than the previous low-order improvement algorithm for FPM. Further, transient heat conduction examples have been discussed to verify the feasibility and effectiveness of the new algorithm.


2018 ◽  
Vol 140 ◽  
pp. 147-160 ◽  
Author(s):  
C. Huang ◽  
D.H. Zhang ◽  
Y.L. Si ◽  
Y.X. Shi ◽  
Y.G. Lin

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