scholarly journals Estimating S-N curves for local fiber dominated fatigue failure in ring specimens representing filament wound pressure vessels with damage

2021 ◽  
pp. 100135
Author(s):  
Eivind Hugaas ◽  
Andreas T. Echtermeyer
2012 ◽  
Vol 550-553 ◽  
pp. 3082-3087
Author(s):  
Xing Ye Su ◽  
Qin Li ◽  
Hong Mei Wang

With the rapid development of petrochemical industry, the operation condition of pressure vessels under the alternating load was increasing and the probability of fatigue failure was also on the rise. As a result, pressure vessel fatigue analysis is gaining the designer's attention. This paper describes the key steps and techniques of the fatigue analysis of pressure vessel based on Workbench platform using the lock hopper of the coal chemical industry as an example.


2013 ◽  
Vol 135 (3) ◽  
Author(s):  
Rifat Hossain ◽  
Jason P. Carey ◽  
Pierre Mertiny

Axially symmetric fiber-reinforced polymer composite structures, such as pressure vessels and piping, are being widely used in different industrial applications where combined loading conditions may be applied. It is imperative to determine a suitable fiber angle, or a distribution of fiber angles, along the longitudinal direction of the structure in order to achieve best performance in terms of mechanical behavior and strength for structures subjected to combined loadings. To this end, an approach combining netting analysis and Tsai-Wu failure theory was employed as a design tool to assess critical fiber angles at which applied loadings would cause a structure to fail. Together, the proposed netting analysis and failure theory-based approach constitute a simple, expedient, and convenient design process for complex-shaped structures.


2011 ◽  
pp. 1-5
Author(s):  
S.T. Peters

Abstract Most filament winding machines now have computer controls and at least three axes. Winding with four axes is increasingly common because the shapes of the products have evolved to include more complexity. The automation used on the winding machine and ancillary components does not eliminate the need for proper fiber handling. This chapter is a primer on modern filament winding equipment and its use, starting with an overview of machine control and then discussing the design and structural analysis of filament wound components such as pressure vessels, pipes, grid structures, deep sea oil platform drill risers, high-speed rotors, and filament-wound preforms.


2002 ◽  
Author(s):  
Joseph Grant ◽  
Raj K. Kaul ◽  
Scott L. Taylor ◽  
George Myer ◽  
Kurt V. Jackson ◽  
...  

2017 ◽  
Vol 172 ◽  
pp. 339-344 ◽  
Author(s):  
Lei Zu ◽  
Weidong Zhu ◽  
Huiyue Dong ◽  
Yinglin Ke

2020 ◽  
Vol 39 (17-18) ◽  
pp. 679-699
Author(s):  
Ruben AJ Weerts ◽  
Olivier Cousigné ◽  
Klaas Kunze ◽  
Marc GD Geers ◽  
Joris JC Remmers

In order to unravel the damage mechanisms occurring in composite-overwrapped pressure vessels (COPVs) subjected to crash conditions, a combined experimental-numerical study has been performed. For the purpose of generality and simplicity, quasi-static contacts on filament-wound cylinders are considered in this paper, as a precursor for geometrically complex impacts on COPVs. Rings with different wall thicknesses are tested to assess how failure mechanisms change when transitioning from thin-wall to thick-wall cylinders. The experimental results are used to identify, which mechanisms occur, and the numerical model is subsequently exploited to analyze the corresponding mechanisms. Based on the understanding of the mechanisms, a method to improve the damage tolerance of thick cylinders is presented. The rings are locally pre-delaminated during manufacturing to promote the growth of these pre-delaminations instead of the initiation of fiber failure.


2019 ◽  
Vol 218 ◽  
pp. 71-78 ◽  
Author(s):  
Lei Zu ◽  
Hui Xu ◽  
Qian Zhang ◽  
Xiaolong Jia ◽  
Bing Zhang ◽  
...  

2013 ◽  
Vol 663 ◽  
pp. 426-430
Author(s):  
Zhen Yu Zhou ◽  
Qi Wen Xue

A numerical model is given to identify equivalent parameters of composite materials, using BP neural network algorithm. Taking Filament-wound composite pressure vessels as the research object, finite element models are first constructed .Getting node displacements as network training samples, the mechanical parameters as output information of network for effective training, the equivalent material parameters can be obtained. The satisfactory numerical validation is given and results show that the proposed method can identify the equivalent modulus and the equivalent Poisson’s ratio of the Filament-wound composite pressure vessels with precision. The computational efficiency is improved with BP neural network.


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