Experimental investigation of fatigue behavior for adhesively-bonded GFRP/steel joints

2020 ◽  
Vol 213 ◽  
pp. 110580
Author(s):  
Zhengwen Jiang ◽  
Shui Wan ◽  
Zhi Fang ◽  
Aiming Song
2020 ◽  
Vol 62 (7) ◽  
pp. 689-697
Author(s):  
Zulkuf Balalan ◽  
Furkan Sarsilmaz ◽  
Omer Ekinci

Author(s):  
E Kara ◽  
A Kurşun ◽  
MR Haboğlu ◽  
HM Enginsoy ◽  
H Aykul

The joining techniques of lightweight and strong materials in the transport industry (e.g. automotive, aerospace, shipbuilding industries) are very important for the safety of the entire structure. In these industries, when compared with other joining methods, the use of adhesively bonded joints presents unique properties such as greater strength, design flexibility, and reduction in fuel consumption, all thanks to low weight. The aim of this study was the analysis of the tensile fatigue behavior of adhesively bonded glass fiber/epoxy laminated composite single-lap joints with three different specimen types including 30, 40 and 50 mm overlap lengths. In this study, composite adherents were manufactured via vacuum-assisted resin transfer molding and were bonded using Loctite 9461 A&B toughened epoxy adhesive. The effect of a surface treatment method on the bonding strength was considered and it led to an increment of about 40%. A numerical analysis based on a finite element model was performed to predict fatigue life curve, and the predicted results showed good agreement with the experimental investigation.


2009 ◽  
Vol 25 (04) ◽  
pp. 198-205
Author(s):  
George W. Ritter ◽  
David R. Speth ◽  
Yu Ping Yang

This paper describes a straightforward method for the design and certification of adhesively bonded composite to steel joints for the marine industry. Normally, certification is based on documented service at sea. Since these joints have not been previously deployed at sea, no data on their performance exist. Using an integrated combination of mechanical property evaluation and finite element modeling, the load- bearing capacity of a joint can be compared with the anticipated seaway loads. Calculated factors of safety for the sandwich design used here show that the joint has adequate strength to maintain structural integrity even after severe environmental exposure.


Author(s):  
Kay Langschwager ◽  
Alexander Bosch ◽  
Eliane Lang ◽  
Jürgen Rudolph ◽  
Michael Vormwald ◽  
...  

Austenitic stainless steel of type X6CrNiNb18-10 (1.4550) is a widely used material in piping and components of nuclear power plants. The fatigue behavior of these components is often operationally determined by thermomechanical strains and corresponding stresses. Welded structures lead to complex stresses in the component and potential fatigue lifetime reductions. Various geometrical and microstructural inhomogeneities in welded structures represent the main factors of influence. Nevertheless, clear identification and quantification of various factors of influence are issues still to be resolved. Within the framework of an ongoing research project, the experimental investigation comprises uniaxial and biaxial fatigue experiments on welded joints which cover temperatures from 25°C to 350°C. Furthermore, a key issue deals with the thermomechanical fatigue behavior of machined and unmachined butt weld seams. A special focus is set on typical low cycle fatigue (LCF) tests in order to explain the behavior of the base material and the weld material to identify the influence of microstructural inhomogeneities. In addition, specimens manufactured directly from the pipe components are tested to examine the influence of the butt weld seam geometry. For a better understanding of the local strain effects, optical strain field measurements (OSFM) are conducted and used to validate numerical simulation. The finite element method (FEM) is utilized to expand the parameter space and identify the main parameters. Experimental and numerical results show that fatigue failure occurs either in the base metal in the vicinity of the welded zone or in the top layer of the weld, depending on the loading conditions. This knowledge is used to develop an approach to fatigue lifetime estimation.


2018 ◽  
Vol 179 ◽  
pp. 692-703 ◽  
Author(s):  
Myrsini Angelidi ◽  
Anastasios P. Vassilopoulos ◽  
Thomas Keller

2022 ◽  
Vol 316 ◽  
pp. 126044
Author(s):  
Gui-hua Xie ◽  
Zi-an Tao ◽  
Yue Sun ◽  
Shi-quan Li ◽  
Abdirahman Ahmed Gedi

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