Calculation model for uniaxial stress–strain relationship of wood plastic composites

2021 ◽  
Author(s):  
Longlong Zhao ◽  
Fei Xi ◽  
Gaoyuan Wang
Keyword(s):  
Uniaxial Stress ◽  
Calculation Model ◽  
Stress Strain ◽  
Wood Plastic Composites ◽  
Plastic Composites ◽  
Strain Relationship ◽  
Relationship Of

scholarly journals The Uniaxial Stress–Strain Relationship of Hyperelastic Material Models of Rubber Cracks in the Platens of Papermaking Machines Based on Nonlinear Strain and Stress Measurements with the Finite Element Method

Materials ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 7534
Author(s):  
Huu-Dien Nguyen ◽  
Shyh-Chour Huang
Keyword(s):  
Finite Element ◽  
Working Conditions ◽  
Uniaxial Stress ◽  
Hyperelastic Material ◽  
The Finite Element Method ◽  
Stress Strain ◽  
Material Models ◽  
Strain Relationship ◽  
Relationship Of ◽  
Better Than

Finite element analysis is extensively used in the design of rubber products. Rubber products can suffer from large amounts of distortion under working conditions as they are nonlinearly elastic, isotropic, and incompressible materials. Working conditions can vary over a large distortion range, and relate directly to different distortion modes. Hyperelastic material models can describe the observed material behaviour. The goal of this investigation was to understand the stress and relegation fields around the tips of cracks in nearly incompressible, isotropic, hyperelastic accouterments, to directly reveal the uniaxial stress–strain relationship of hyperelastic soft accouterments. Numerical and factual trials showed that measurements of the stress–strain relationship could duly estimate values of nonlinear strain and stress for the neo-Hookean, Yeoh, and Arruda–Boyce hyperelastic material models. Numerical models were constructed using the finite element method. It was found that results concerning strains of 0–20% yielded curvatures that were nearly identical for both the neo-Hookean, and Arruda–Boyce models. We could also see that from the beginning of the test (0–5% strain), the curves produced from our experimental results, alongside those of the neo-Hookean and Arruda–Boyce models were identical. However, the experiment’s curves, alongside those of the Yeoh model, converged at a certain point (30% strain for Pieces No. 1 and 2, and 32% for Piece No. 3). The results showed that these finite element simulations were qualitatively in agreement with the actual experiments. We could also see that the Yeoh models performed better than the neo-Hookean model, and that the neo-Hookean model performed better than the Arruda–Boyce model.

Triaxial Test and Numerical Analysis on the Fiber Reinforced Laterite Clay

2013 ◽  
Vol 275-277 ◽  
pp. 1219-1224 ◽  
Author(s):  
Jin Li Zhang ◽  
Man Yuan ◽  
Zheng Guo Jiang ◽  
Qing Yang
Keyword(s):  
Three Dimensional ◽  
Calculation Model ◽  
Secondary Development ◽  
Triaxial Tests ◽  
Fiber Reinforced ◽  
Stress Strain ◽  
Nonlinear Fitting ◽  
Strain Relationship ◽  
Straight Lines ◽  
Relationship Of

Triaxial compressive tests were performed on laterite clay(LC) reinforced with different fiber contents and lengths. It was observed that the curves of stress-strain have a segmented characteristic at the critical strain. The stress-strain curves of fiber reinforced laterite clay(FRLC) were expressed by the combination of hyperbola and straight lines. The parameters of stress-strain curves were obtained by linear and nonlinear fitting method with experimental results. A three-dimensional calculation model of triaxial tests was developed on the basis of ABAQUS software. To express the stress-strain relationship of hyperbola-straight lines, user’s subroutine was established through secondary development. Based on the test conditions, a large number of calculations were conducted. There is a good agreement between the results of numerical calculations and tests. It shows that the stress-strain relationship of FRLC can be described by the hyperbola-straight line combination model.

scholarly journals Mechanical performance of aluminum reinforced wood plastic composites under axial tension: an experimental and numerical investigation

2021 ◽  
Vol 67 (1) ◽  
Author(s):  
Longlong Zhao ◽  
Fei Xi ◽  
Xiaorui Wang
Keyword(s):  
Mechanical Performance ◽  
Mechanical Stability ◽  
Low Cost ◽  
Stress Strain ◽  
Wood Plastic Composites ◽  
Plastic Composites ◽  
Axial Tensile ◽  
Residual Curvature ◽  
Strain Relationship ◽  
Weather Resistance

AbstractWood plastic composites (WPCs) are low-cost biomass composite materials with good mechanical stability and good weather resistance that are mainly used in the areas with low stress levels. Aimed at improving the mechanical properties of WPCs, this paper proposes a new WPC reinforced with aluminum. The WPC and aluminum were hot pressed to form an aluminum reinforced wood plastic composites (A-WPC). The axial tensile properties, stress–strain relationship, and failure mechanism of the composite were studied experimentally. The results show that the ultimate stress and strain, elastic modulus, and other mechanical parameters of A-WPCs are much higher than those of WPCs. The elongation at break is 10.13 times that of WPCs, which greatly improves the ductility. Based on the equivalent stiffness theory, two calculation models were proposed to predict the tensile stress–strain relationship of A-WPCs. The tensile rebound process of A-WPCs was analyzed in depth, and then the calculation formula of the residual curvature was deduced to compare with the test results. The experimental results are in good agreement with the calculation results.

Semi-inverse method for predicting stress–strain relationship from cone indentations

2003 ◽  
Vol 18 (9) ◽  
pp. 2068-2078 ◽  
Author(s):  
A. DiCarlo ◽  
H. T. Y. Yang ◽  
S. Chandrasekar
Keyword(s):  
A Priori ◽  
Model Material ◽  
Material Behavior ◽  
The Finite Element Method ◽  
Stress Strain ◽  
Indentation Tests ◽  
Strain Relationship ◽  
Initial Force ◽  
Relationship Of ◽  
Force Displacement

A method for determining the stress–strain relationship of a material from hardness values H obtained from cone indentation tests with various apical angles is presented. The materials studied were assumed to exhibit power-law hardening. As a result, the properties of importance are the Young's modulus E, yield strength Y, and the work-hardening exponent n. Previous work [W.C. Oliver and G.M. Pharr, J. Mater. Res. 7, 1564 (1992)] showed that E can be determined from initial force–displacement data collected while unloading the indenter from the material. Consequently, the properties that need to be determined are Y and n. Dimensional analysis was used to generalize H/E so that it was a function of Y/E and n [Y-T. Cheng and C-M. Cheng, J. Appl. Phys. 84, 1284 (1999); Philos. Mag. Lett. 77, 39 (1998)]. A parametric study of Y/E and n was conducted using the finite element method to model material behavior. Regression analysis was used to correlate the H/E findings from the simulations to Y/E and n. With the a priori knowledge of E, this correlation was used to estimate Y and n.

Study on Stress-Strain Relationship of Loess

2004 ◽  
Vol 274-276 ◽  
pp. 241-246 ◽  
Author(s):  
Bo Han ◽  
Hong Jian Liao ◽  
Wuchuan Pu ◽  
Zheng Hua Xiao
Keyword(s):  
Stress Strain ◽  
Strain Relationship ◽  
Relationship Of

scholarly journals Simulating the Stress-Strain Relationship of Geomaterials by Support Vector Machine

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Hongbo Zhao ◽  
Zenghui Huang ◽  
Zhengsheng Zou
Keyword(s):  
Support Vector Machine ◽  
Constitutive Relationship ◽  
Support Vector ◽  
Nonlinear Relationship ◽  
Ann Model ◽  
Stress Strain ◽  
Svm Model ◽  
Strain Relationship ◽  
Artificial Neural Network Ann ◽  
Relationship Of

Stress-strain relationship of geomaterials is important to numerical analysis in geotechnical engineering. It is difficult to be represented by conventional constitutive model accurately. Artificial neural network (ANN) has been proposed as a more effective approach to represent this complex and nonlinear relationship, but ANN itself still has some limitations that restrict the applicability of the method. In this paper, an alternative method, support vector machine (SVM), is proposed to simulate this type of complex constitutive relationship. The SVM model can overcome the limitations of ANN model while still processing the advantages over the traditional model. The application examples show that it is an effective and accurate modeling approach for stress-strain relationship representation for geomaterials.

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