Mechanical Behavior Analysis of CDIO Production-Blood Vessel Robot in Curved Blood Vessel

Author(s):  
Fan Jiang ◽  
Chunliang Zhang ◽  
Yijun Wang
1986 ◽  
Vol 108 (4) ◽  
pp. 295-300 ◽  
Author(s):  
A. T. Yokobori ◽  
T. Maeyama ◽  
T. Ohkuma ◽  
T. Yokobori ◽  
H. Ohuchi ◽  
...  

Studies have been carried out on the bio-medico-mechanical behavior in vitro of natural blood vessel (dogs) under constant and variable internal pulsatile pressure flow. The apparatus designed by us well simulated the arterial system. The studies were made for the case of pressure amplitude kept as constant, of the two-step-multi-duplicated pulsatile pressure and of the fluctuating pressure. For the case of the fluctuating pressure, the strength of the artery becomes considerably lower than those under constant amplitude and two-step-multi-duplicated pulsatile pressure. SEM observations of the inner walls of the artery shows that collagen fibers are more elongated under fluctuating pulsatile pressure flow. In conclusion, in order to avoid the mechanical deterioration of the artery strength, it is useful to keep the pulsatile blood pressure at constant amplitude. Even for the case of the blood pressure fluctuation, it is necessary to manage to keep the blood pressure as near a regular wave as possible, the total number of repeated pulse being equal.


2010 ◽  
Vol 20 (3) ◽  
pp. 1916-1919 ◽  
Author(s):  
Peng Chen ◽  
Yinming Dai ◽  
Qiuliang Wang ◽  
Quan Zhang

Author(s):  
Shahrokh Zeinali ◽  
Jongeun Choi ◽  
Seungik Baek

Although it is well known that blood vessels adapt and remodel in response to various biomechanical stimuli, quantifying changes in constitutive relation corresponding to environmental changes is still challenging. Especially, when the dimension of blood vessel is small, the uncertainties in experimental measurements become significant and make it difficult to precisely estimate parameters of constitutive relations for mechanical behavior of the blood vessel. Hence without considering measurement error in displacement, a conventional nonlinear least square (NLS) method results in a biased parameter estimation. In this paper, we propose a new parameter estimation method to eliminate such bias error and provide more accurate estimated parameters for a constitutive relation using a weighted nonlinear least square (WNLS) method with a noise model. We first applied the proposed technique to a set of synthesized data with computer generated white noises and compared the fitting results to those of the NLS method without the noise model. We also applied our method to experimental data sets from mechanical tests of rabbit basilar and mouse carotid arteries and studied parameter sensitivity of the constitutive model.


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