Complex Material Property Identification for Cement Matrix Composites by a Mixed Numerical-Experimental Method

1997 ◽  
pp. 143-152
Author(s):  
J. Vantomme ◽  
J. M. Ndambi ◽  
J. De Visscher ◽  
H. Sol ◽  
W. P. De Wilde
Keyword(s):  
Experimental Method ◽  
Material Property ◽  
Cement Matrix ◽  
Matrix Composites ◽  
Complex Material ◽  
Property Identification

scholarly journals Carbon Fiber Cement-Matrix Composites

TANSO ◽  
1999 ◽  
Vol 1999 (190) ◽  
pp. 300-312 ◽  
Author(s):  
D. D. L. Chung
Keyword(s):  
Carbon Fiber ◽  
Cement Matrix ◽  
Matrix Composites

Micromechanics modeling of the uniaxial strain-sensing property of carbon nanotube cement-matrix composites for SHM applications

2017 ◽  
Vol 163 ◽  
pp. 195-215 ◽  
Author(s):  
Enrique García-Macías ◽  
Antonella D'Alessandro ◽  
Rafael Castro-Triguero ◽  
Domingo Pérez-Mira ◽  
Filippo Ubertini
Keyword(s):  
Carbon Nanotube ◽  
Uniaxial Strain ◽  
Cement Matrix ◽  
Matrix Composites ◽  
Strain Sensing ◽  
Micromechanics Modeling

Mechanical and Strain-Sensing Properties of Cement-Matrix Composite Containing Nano-Sized Carbon Black

2019 ◽  
Vol 815 ◽  
pp. 203-209
Author(s):  
Yan Feng Wang ◽  
Yi Zhao ◽  
Xiao Hua Zhao ◽  
Ran Hai
Keyword(s):  
Carbon Black ◽  
Compressive Loading ◽  
Cement Matrix ◽  
Structural Function ◽  
Matrix Composites ◽  
Strain Sensing ◽  
Reinforced Composite ◽  
Carbon Fiber Reinforced Composites ◽  
Reinforced Cement ◽  
Experimental Researches

An experimental researches was performed for carbon black-reinforced cement-matrix composites. The carbon black used was in the form of particles with a nano-size. Results show that when content of the carbon black is between 0.25% and 0.75% by weight of cement, both flexural and compressive strengths of the composite can be enhanced. Flexural strength increases up to 9.69%, and compressive strength increases up to 6.92%, respectively. Moreover, the carbon black-reinforced composite is of high strain-sensing ability. The fractional change in resistance () increases monotonically upon compressive loading, and decreases monotonically upon unloading. These properties indicate that the carbon black-reinforced composite can be used for structural function, while at the same time act as a strain sensor itself. Compared with carbon fiber-reinforced composites, the carbon black-reinforced composite has a low price and is easy for mixing.

Micromechanics modeling of the electrical conductivity of carbon nanotube cement-matrix composites

2017 ◽  
Vol 108 ◽  
pp. 451-469 ◽  
Author(s):  
Enrique García-Macías ◽  
Antonella D'Alessandro ◽  
Rafael Castro-Triguero ◽  
Domingo Pérez-Mira ◽  
Filippo Ubertini
Keyword(s):  
Electrical Conductivity ◽  
Carbon Nanotube ◽  
Cement Matrix ◽  
Matrix Composites ◽  
Micromechanics Modeling

AFM Indentation and Material Property Identification of Soft Hydrogels

2007 ◽  
Author(s):  
Sakya Tripathy ◽  
Edward Berger ◽  
Kumar Vemaganti
Keyword(s):  
Experimental Data ◽  
Parameter Identification ◽  
Material Property ◽  
Contact Point ◽  
Hyperelastic Material ◽  
Agarose Gel ◽  
Afm Indentation ◽  
Fe Simulations ◽  
Property Identification ◽  
Identification Approach

There is growing evidence of the importance of mechanical deformations on various facets of cell functioning. This asks for a proper understanding of the cell’s characteristics as a mechanical system in different physiological and mechanical loading conditions. Many researchers use atomic force microscopy (AFM) indentation and the Hertz contact model for elastic material property identification under shallow indentation. For larger indentations, many of the Hertz assumptions are not inherently satisfied and the Hertz model is not directly useful for characterizing nonlinear elastic or inelastic material properties. We have used exponential hyperelastic material in FE simulations of the AFM indentation tests. A parameter identification approach is developed for hyperelastic material property determination from the simulated data. We collected AFM indentation data on agarose gel and developed a simple algorithm for contact point detection. The contact point correction improves the prediction of elastic modulus over the case of visual contact point identification. The modulus of 1% agarose gel was found to be about 15 kPa using the proposed correction, with mild but non-trival hardening with deeper indentation. The experimental data is compared with the results from the FE simulations and shows that over the hardening portion of the indentation response, our proposed parameter identification approach successfully captures the experimental data.

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