Rate-dependent fracture behavior of tough polyelectrolyte complex hydrogels from biopolymers

2021 ◽  
Vol 156 ◽  
pp. 103785
Author(s):  
Zhenhua Xiao ◽  
Yong Liu ◽  
Junsheng Yang ◽  
Han Jiang ◽  
Liqun Tang ◽  
...  
Rheology ◽  
1980 ◽  
pp. 349-354 ◽  
Author(s):  
R. Y. Ting ◽  
R. L. Cottington

Author(s):  
Vikas Tomar

Trabecular bone fracture is closely related to the trabecular architecture and microdamage accumulation. Micro-finite element models have been used to investigate the elastic and yield properties of trabecular bone but have only seen limited application in modeling the microstructure dependent fracture of trabecular bone, [1, 2]. In the presented research a cohesive finite element method (CFEM) based approach that can be used to model microstructure and loading rate dependent fracture in trabecular bone is developed for the first time. The emphasis is on understanding the effect of the rate of loading and its correlation with the bone microstructure on the microdamage accumulation and fracture behavior in the trabecular bone. Analyses focus on understanding the effect of the rate of loading, change in bone tissue properties with aging, and their correlation with the bone microstructure on the microdamage accumulation and the fracture behavior in the trabecular bone.


2014 ◽  
Vol 566 ◽  
pp. 286-291
Author(s):  
Zoltan Major ◽  
Martin Reiter

The fracture behavior of engineering polymers is usually characterized at high loading rates using Charpy specimens. However, due to the presence of dynamic effects the conventional force based analysis for determining fracture toughness values is applicable only up to 1 m/s using tree point bending test configurations. This difficulty can be overcome in principle, by applying dynamic analysis methods (e.g. dynamic key curve (DKC) analysis) or by applying tensile loading fracture configurations. The applicability of pre-cracked Charpy specimens for determining fracture toughness values for polymeric materials over a wide loading rate range is investigated in this study.


1999 ◽  
Vol 48 (6Appendix) ◽  
pp. 98-103 ◽  
Author(s):  
Takayuki KUSAKA ◽  
Masaki HOJO ◽  
Shojiro OCHIAI ◽  
Tomoaki KUROKAWA

2022 ◽  
Vol 35 (1) ◽  
pp. 04021100
Author(s):  
Emily Pittman ◽  
Stylianos Koumlis ◽  
Htet Naing Aung ◽  
Amanda Bellafatto ◽  
Leslie Lamberson

2018 ◽  
Vol 730 ◽  
pp. 270-279 ◽  
Author(s):  
Ding Zhou ◽  
Bingjin Li ◽  
Shuangyin Zhang ◽  
Bing Hou ◽  
Yulong Li

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