Experimental Study on Stress-Strain Relationship of Mud-Plaster Wall with Different Additives

2015 ◽  
Author(s):  
Meng-Ting Tsai ◽  
Catur Prasetyo Hary
Keyword(s):  
Experimental Study ◽  
Stress Strain ◽  
Strain Relationship ◽  
Relationship Of

Experimental study on residual strength of concrete confined with corroded stirrups

2016 ◽  
Vol 43 (6) ◽  
pp. 583-590 ◽  
Author(s):  
Guanghui Zhang ◽  
Xinhu Cao ◽  
Qiuni Fu
Keyword(s):  
Experimental Study ◽  
Weight Loss ◽  
Confined Concrete ◽  
Constitutive Relationship ◽  
Stress Strain ◽  
Model Modification ◽  
Chloride Corrosion ◽  
Strain Relationship ◽  
Corrosion Of Steel ◽  
Relationship Of

Corrosion of steel bars is a serious issue compromising the reliability of reinforced concrete structures. Previous research has proven that confined concrete has increased confined strength, ductility, energy dissipation capacity, etc. However, existing confined concrete models cannot accurately predict the strength and stress–strain relationship of concrete confined with corroded stirrups. This paper presents an experimental study on the behavior of eight square columns confined with stirrups damaged by accelerated chloride corrosion. The weight loss of the stirrup ranges from 5% to 31.7%. The stress–strain curves of confined concrete are obtained from the concentric compression loading tests. Based on the well-established Mander model, modification factors are introduced to account for the effect of corrosion on the confined strength, confined strain, and descending branch of the curves. These modification factors predict the constitutive relationship of concrete confined with square stirrups as a function of the weight loss and localization levels of corrosion.

Experimental Study on Shear Strength Characteristics and Stress-Strain Relationship of Loess

2013 ◽  
Vol 535-536 ◽  
pp. 574-577 ◽  
Author(s):  
Bo Han ◽  
Hong Jian Liao ◽  
Hang Zhou Li ◽  
Zheng Hua Xiao
Keyword(s):  
Experimental Study ◽  
Residual Strength ◽  
Failure Modes ◽  
Confining Pressure ◽  
Strength Characteristics ◽  
Triaxial Tests ◽  
Stress Strain ◽  
Triaxial Apparatus ◽  
Strain Relationship ◽  
Relationship Of

This paper mainly concerns the non-linear strength characteristics of the loess. A series of consolidated undrained triaxial tests(CU test) and consolidated drained triaxial tests (CD test) of normal consolidation and over consolidation loess specimens are carried out by using the normal triaxial apparatus of strain control. The stress-strain relationship curves and strength characteristics of loess are investigated and analyzed. The results show that the stress-strain relationship obtained by CU tests appears strain softening, while the stress-strain relationship for CD tests appears strain hardening. Different failure modes have different stress-strain relationships. Furthermore, the results also show that the peak strength, residual strength and residual strength ratio change with the different confining pressure. Based on the triaxial shear tests of normal consolidated loess, the influences of over-consolidated loess on the stress-strain relationships and strength characteristic are discussed. Several conclusions obtained in this paper can be referenced for the loess experimental study.

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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