scholarly journals Post-peak Stress-strain Relationship of Rock Mass Based on Hoek-Brown Strength Criterion

2012 ◽  
Vol 5 ◽  
pp. 289-293 ◽  
Author(s):  
Han Jianxin ◽  
Li Shucai ◽  
Li Shuchen ◽  
Wang Lei
Keyword(s):  
Rock Mass ◽  
Peak Stress ◽  
Strength Criterion ◽  
Stress Strain ◽  
Strain Relationship ◽  
Relationship Of

Study of Post-Peak Stress-Strain Relationship of Rock Mass with Joint

2014 ◽  
Vol 638-640 ◽  
pp. 561-564
Author(s):  
Lei Wang ◽  
Hai Yuan Wang ◽  
Liang Yan Jiang
Keyword(s):  
Piecewise Linear ◽  
Peak Stress ◽  
Strength Criterion ◽  
Linear Functions ◽  
Principal Strain ◽  
Rock Masses ◽  
Stress Strain ◽  
Maximum Principal Strain ◽  
Strain Relationship ◽  
Relationship Of

The post-peak stress strain relationship expression of intact rock cannot well reflect post peak properties of rock masses with joint, in order to obtain post peak stress-strain relationship suitable for rock masses with joint, based on the test data, based on the Kulun strength criterion, analysis evolution of post peak strength parameters of rock masses with joint. According to rock masses with joint under different confining pressure and fracture dip at different post peak behavior, the post peak stress-strain relationship is simplified as new kind type, regarding maximum principal strain as strain softening parameter, on the assumption cohesion and internal friction angle are the piecewise linear functions of maximum principal strain, the method of solving express of new post-peak stress-strain relationship of rock masses with joint is obtained.

scholarly journals Down-Hole Triaxial Test to Measure Average Stress-Strain Relationship of Rock Mass

2003 ◽  
Vol 43 (5) ◽  
pp. 53-62 ◽  
Author(s):  
Kazuo Tani ◽  
Takashi Nozaki ◽  
Susumu Kaneko ◽  
Yoshinori Toyo-Oka ◽  
Hideo Tachikawa
Keyword(s):  
Rock Mass ◽  
Triaxial Test ◽  
Average Stress ◽  
Stress Strain ◽  
Strain Relationship ◽  
Relationship Of

Variational Problem of Unloading Fractured Rock Mass

2011 ◽  
Vol 291-294 ◽  
pp. 1190-1194
Author(s):  
Li Yu ◽  
Ming Fu Fu ◽  
Bin Tu
Keyword(s):  
Rock Mass ◽  
Variational Principle ◽  
Variational Problem ◽  
Linear Elasticity ◽  
Fractured Rock ◽  
Fractured Rock Mass ◽  
Stress Strain ◽  
Strain Relationship ◽  
Relationship Of

This article mainly introduced variational problem about stress-strain relationship of unloading fractured rock mass in the excavation. In this paper, research is carried out on variational principle of unloading fractured rock mass in the stage of linear elasticity.

scholarly journals Stress-Strain Relationship of Ca(OH)2-Activated Hwangtoh Concrete

2014 ◽  
Vol 2014 ◽  
pp. 1-9
Author(s):  
Keun-Hyeok Yang ◽  
Ju-Hyun Mun ◽  
Hey-Zoo Hwang
Keyword(s):  
Compressive Strength ◽  
Strain Curve ◽  
Peak Stress ◽  
Actual Behavior ◽  
Test Results ◽  
Stress Strain ◽  
Strain Behavior ◽  
Strain Relationship ◽  
Relationship Of ◽  
Strain Model

This study examined the stress-strain behavior of 10 calcium hydroxide (Ca(OH)2)-activated Hwangtoh concrete mixes. The volumetric ratio of the coarse aggregate (Vagg) and the water-to-binder (W/B) ratio were selected as the main test variables. TwoW/Bratios (25% and 40%) were used and the value ofVaggvaried between 0% and 40.0%, and 0% and 46.5% forW/Bratios of 25% and 40%, respectively. The test results demonstrated that the slope of the ascending branch of the stress-strain curve of Ca(OH)2-activated Hwangtoh concrete was smaller, and it displayed a steeper drop in stress in the descending branch, compared with those of ordinary Portland cement (OPC) concrete with the same compressive strength. This trend was more pronounced with the increase in theW/Bratio and decrease inVagg. Based on the experimental observations, a simple and rational stress-strain model was established mathematically. Furthermore, the modulus of elasticity and strain at peak stress of the Ca(OH)2-activated Hwangtoh concrete were formulated as a function of its compressive strength andVagg. The proposed stress-strain model predicted the actual behavior accurately, whereas the previous models formulated using OPC concrete data were limited in their applicability to Ca(OH)2-activated Hwangtoh concrete.

scholarly journals Stress-Strain behaviour of plain and fibre reinforced SCC mixes

2021 ◽  
Vol 309 ◽  
pp. 01057
Author(s):  
U Prashanth ◽  
S Shrihari ◽  
V Siva Prasad Raju ◽  
V Srinivasa Reddy
Keyword(s):  
Modulus Of Elasticity ◽  
Peak Stress ◽  
Deformation Energy ◽  
Minor Effect ◽  
Stress Strain ◽  
Strain Behaviour ◽  
Strain Relationship ◽  
Improved Performance ◽  
A Minor ◽  
Relationship Of

The goal of this research is to better understand the stress-strain behaviour of plain and fibre reinforced M30 grade plain SCC mixtures. The experimental stress strain relationship of SCC revealed that all changes had a minor effect on the stress strain curve's first section. The stress-strain behaviour of M30 FRSCC mixtures has improved with the addition of fibres, resulting in lower stress values for the same stresses. At peak loads, all fibre reinforced SCC mixes, notably SFRSCC and HFRSCC mixes, showed an increase in strain values. Steel and hybrid fibres enhanced the post-peak stress-strain behaviour of SCC mixes compared to glass fibered SCC mixes. M30 grades’ modulus of elasticity When compared to other FRSCC mixes, HFRSCC mixes created with optimal combinations of PF and s/a ratios have high values. By dispersing deformation energy through fibres, HFRSCC mixtures have a better capacity to prevent fracture growth. HFRSCC mixtures with high toughness moduli have better shock resistance. Because of the dense and compact microstructure, the modulus of elasticity (E) of HFRSCC mixes shows improved performance.

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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