Comparison between Ramberg-Osgood and Hardin-Drnevich soil models in Midas GTS NX

Majd Ahmad; Richard Ray

doi:10.1556/606.2021.00353

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Pollack Periodica

Volume/Issue:: Volume 16: Issue 3

Comparison between Ramberg-Osgood and Hardin-Drnevich soil models in Midas GTS NX

Authors:

Majd Ahmad

Majd Ahmad Structural and Geotechnical Engineering Department, Faculty of Architecture, Civil and Transport Sciences, Széchenyi István University, H-9026, Egyetem tér 1, Győr, Hungary

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ahmad.majd@hallgato.sze.hu https://orcid.org/0000-0001-6814-9790

and

Richard Ray

Richard Ray Structural and Geotechnical Engineering Department, Faculty of Architecture, Civil and Transport Sciences, Széchenyi István University, H-9026, Egyetem tér 1, Győr, Hungary

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Pages:: 52–57

Online Publication Date:: 29 May 2021

Publication Date:: 28 Sep 2021

Article Category:: Research Article

DOI:: https://doi.org/10.1556/606.2021.00353

Keywords:: Ramberg-Osgood model; Hardin-Drnevich model; torsional simple shear test; Midas GTS NX; dynamic shear modulus

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Abstract

This paper studies the two widely used material models for predicting the dynamic behavior of soils, the Ramberg-Osgood and Hadrin-Drnevich models. Resonant column and torsional simple shear test results on dry sand were used to calibrate and evaluate the model built in the finite element software Midas GTS NX. Both material models are already implemented by the software. This study estimates the ability and efficiency of both soil models coupled with the Masing criteria to predict the behavior of soil when subjected to irregular loading patterns, (e.g., earthquakes), and measure the two most important dynamic properties, the dynamic shear modulus, and the damping ratio.

Abstract

1 Introduction

The response of structures to dynamic loading is directly dependent on the response of soil beneath or around it. Therefore, many researchers in the past few decades focused on studying the behavior of soils subjected to dynamic loads. It is agreed that the most important parameters to define this behavior are the dynamic shear modulus and the damping ratio, which contribute to variation in the stiffness and energy dissipation during cyclic loading. Thus, to be able to study the soil-structure interaction numerically with adequate accuracy, it is important to have a material model that is well representative of the soil in the field conditions. This has been a challenge when it comes to irregular loading patterns due to the complex nature of soils’ behavior and its dependence on many factors like the confining stress, void ratio, density and number of cycles, etc. However, the progressive development in computer technology accompanied with the increasing speed of processing complex calculations allowed the use of numerical modeling for easier and faster calibration of models for further use in real and much more complicated geotechnical problems (e.g. deep foundation [1–2] and tunnels [3] modeling). In this study, the Ramberg-Osgood and the Hardin-Drnevich models were used to predict and simulate the soil behavior in the TOrsional Simple Shear (TOSS) test, and the results were compared with test data for irregular loading patterns.

2 Nonlinear dynamic shear modulus

The shear stiffness of the soil is usually represented by the shear modulus G, which is the slope of the shear stress-shear strain curve. It can be determined by using seismic methods in the field to obtain in situ shear wave velocity, where the strain level is very low and the soil still behaves elastically. Other equations can be used as well based on extensive laboratory testing programs to calculate the initial dynamic shear modulus G _max, where it is correlated to the confining stress, void ratio, and uniformity coefficient C _U. The most used equations are presented by Hardin and Richart [4], Hardin and Black [5], and most recently by Wichtmann, Navarrete Hernández, and Triantafyllidis [6].

Vucetic and Dobry [7] and Ishihara [8] defined a volumetric cyclic threshold shearing strain γ_tv, which when exceeded; permanent microstructural change of soil occurs and soil stiffness changes permanently. Furthermore, the shear modulus decreases as the shear strain amplitude increases, and the soil’s behavior becomes nonlinear. In this phase, the shear modulus reduction curve is usually used to describe this property, which is important for the analysis of different dynamic problems where the strain is of high amplitude (e.g., strong ground motion during earthquakes). The shear modulus degradation curve can be obtained from the torsional simple shear test, which generates stress-strain hysteresis loops, from which values of the secant shear modulus G _sec are computed with the increasing strain level (Fig. 1).

Fig. 1.

Estimation of shear modulus during cyclic loading

Citation: Pollack Periodica 16, 3; 10.1556/606.2021.00353

3 Combined resonant column and torsional shear test

The combined Resonant Column-Torsional Simple Shear Device (RC-TOSS device) related to this study was originally built by Prof Richard Ray at University of Michigan in the 1980s Ray, [9], Ray and Woods, [10]. Then it was rebuilt and calibrated in Győr at the Geotechnical Laboratory of the Department of Structural and Geotechnical Engineering at Széchenyi István University for the purpose of the PhD study of Zsolt Szilvágyi in 2013. The testing device was described in detail by Szilvágyi [11] in his thesis.

The tests were conducted on dry sand, a set of resonance column tests in addition to cyclic and irregular tests were performed up to a stress level of 60 kPa and a confining stress of 94 kPa. For this study, only one irregular TOSS test with a shear stress of 40 kPa was used to evaluate the ability of the material models to predict the dynamic behavior of the soil. An irregular load history was scaled to obtain a maximum value of shear stress of 40 kPa for this stress-controlled TOSS test, and the resulted shear stress-strain curve was used for curve fitting and calibrating the model. In Fig. 2, the maximum shear modulus obtained from RC test is 95,500 kPa, and other RC tests were conducted at higher strains. Shear modulus values from TOSS test were obtained from the monotonic one-way curve, as well as the G _sec which is the slope of the line that connects the two ends of each of the loops. Figure 2 shows good compatibility between RC and TOSS tests, and also similar behavior to the studies conducted by Seed and Idriss [12] and Vucetic and Dobry [7].

Fig. 2.

Shear modulus degradation curves comparison

Citation: Pollack Periodica 16, 3; 10.1556/606.2021.00353

4 Material models

4.1 Ramberg-Osgood

Ramberg and Osgood [13] first proposed a model with three parameters that would describe the stress-strain curves of aluminum-alloy stainless-steel and carbon-steel sheets. This model was first used in soil modeling by Faccioli et al. [14] to predict the shear modulus degradation curve of sands. The formulation to be used in practical calculations for soils (1) describes the nonlinear stress-strain behavior, and with simple manipulation of the equation, the shear modulus reduction curve (2) and the damping ratio can be obtained as well,

γ = \frac{τ}{G_{\max}} (1 + α {| \frac{τ}{C τ_{\max}} |}^{R - 1}),

(1)

\frac{G_{\sec}}{G_{max}} = \frac{1}{1 + α {| \frac{τ}{C τ_{\max}} |}^{R - 1}},

(2)

where

γ

is the shear strain,

τ

is the shear stress. G _max is the small strain shear modulus,

τ

_max is the maximum shear stress, usually obtained from triaxial test results, and it is a function of the confining stress, angle of friction, and cohesion.

α

, C and R are curve-fitting constants.

The model was modified to follow the original Masing criteria [15], as the shear modulus for the unloading-reloading curves is equal to G _max, and the shape of these curves is equal to the one-way curve except that it is enlarged by a factor of 2. Two extra rules have been suggested by Pyke [16] to predict the path of the curves. These rules indicate that the unloading and reloading curves should follow the initial curve in case the previous maximum shear strain is exceeded, and if the current loading or unloading curve intersects a previous one, it should follow the previous curve. The extended rules can be programmed easily to determine the path that the stress-strain curve will follow for complicated load histories. And the original rules can be implemented by modifying the one-way equation, as it is shown in Eq. (3),

γ = 2 [\frac{\frac{τ - τ_{i}}{2}}{G_{\max}} (1 + α {| \frac{\frac{τ - τ_{i}}{2}}{C τ_{\max}} |}^{R - 1})] + γ_{i},

(3)

where

τ_{i}

and

γ_{i}

are the shear stress and the shear strain at the turning point respectively.

The modified Ramberg-Osgood model was implemented in Midas GTS code to be used for solid soil layers. However, the equation in Midas shown in Eq. (4) is slightly different than the conventional one,

G_{0} γ = τ (1 + α {| τ |}^{β}),

(4)

where

G_{0} = G_{\max}

and

α

and

β

are given by

α = {(\frac{2}{γ_{r} G_{0}})}^{β}, β = \frac{2 π h_{max}}{2 - π h_{max}},

(5)

where h _max is the maximum damping constant and γ _r is the reference shear strain.

Extended Masing criteria were also used for the hysteresis curve

G_{0} (\frac{γ \mp γ_{1}}{2}) = (\frac{τ \mp τ_{1}}{2}) (1 + α ({τ \frac{τ \mp τ_{1}}{2})}^{β}) .

(6)

4.2 Hardin-Drnevich

Hardin and Drnevich [17] proposed a modified hyperbolic relationship to predict the shear stress-strain behavior of soil. In their study, they found that the stress-strain behavior is not exactly described by a hyperbola. As a result, the hyperbolic equation was modified by distorting the strain scale to make the real stress-strain curve have a hyperbolic shape. Midas uses the same equation introduced by Hardin and Drnevich given by

τ = \frac{G_{0} γ}{1 + | \frac{γ}{γ_{r}} |},

(7)

where

G_{0}

is the initial shear modulus and

γ_{r}

is the reference strain, which can be modified to get the best fit with the testing data. Hysteresis curves are formulated on the basis of the Masing’s rule as well

τ = \frac{G_{0} (γ - γ_{1})}{1 + | \frac{(γ - γ_{1})}{2 γ_{r}} |} + τ_{1} .

(8)

5 Finite element model in Midas GTS

The model built on Midas for this study is based on the work of Szilvágyi and Ray [18]. However, their paper focused on studying the small strain stiffness of soils, and it verified the capability of the software to model the TOSS test in a more of static manner. Moreover, some modeling difficulties were faced in their analysis, which were fixed in the model developed in this study. This research concentrated mainly on predicting the dynamic behavior of soils under irregular and more complicated loading patterns, which was not captured by the previous study.

Modeling was performed using the cylindrical element coordinate system. The model simulates the TOSS test; consequently, it consists of a 1 cm thick hollow cylinder with the same dimensions as the tested soil specimen. The mesh elements used in the model are hexahedral of high order; each element has 20 nodes with the dimensions shown in Fig. 3b in meters.

Fig. 3.

Finite element mesh of soil sample, a) elements and nodes, b) dimensions of the middle element

Citation: Pollack Periodica 16, 3; 10.1556/606.2021.00353

2017 elements comprise this model, it is pinned at the bottom surface, and all the top nodes are connected with rigid links to a central node which is allowed to move along and rotate around the vertical axis. The prescribed rotation or moment is imposed on this central node, which will simulate the torsional load applied in the TOSS test. No stress irregularities were noticed at the base of the model after the confining stress stage.

The analysis is performed in construction stages in order to simulate the test conditions, where it starts with applying a confining stress of 94 kPa on the free surface of the elements, afterwards, the dynamic material model (R–O or H–D) is set for all the elements, and the torsional loading stage begins. The prescribed rotation around the vertical axis was assigned a time-varying function that is similar to the load history in the TOSS test with a maximum rotation of 0.00338 radians, which will cause an average shear strain in the θ-Z direction of 0.00067 mm/mm. Manual load stepping was not needed before and after turning points, unlike the previous study, and the analysis was stable and converged without problems or high number of iterations.

The method of least squares was used with the help of the solver tool in excel to find the curvature constants values that fit the Ramberg-Osgood (1) and Hardin-Drnevich equations curves with the test data (Table 1), by minimizing the sum of the squares of the strain residuals (the difference between an observed value, and the fitted value provided by a model). The same technique was used subsequently to find the reference strain that Midas uses in the R–O equation Fig. 4.

Table 1.

Material model parameters used in this study

Parameter		Conventional Ramberg-Osgood	Midas Ramberg-Osgood	Hardin-Drnevich	Unit
Initial dynamic shear modulus	G ₀	95,500	95,500	95,500	kPa
Max. shear stress	$τ_{m a x}$	44.17	–	–	kPa
Reference shear strain	$γ_{r}$	0.000462	0.00148	0.0011	mm/mm
Curve fitting constants	$α$	1	0.0267	–	–
	$C$	1.55	–	–	–
	R	1.9	–	–	–
	$β$	–	0.8508	–	–
Max. damping constant	h _max	–	0.19	–	%
Dry density	$γ_{d}$	17	17	17	kN/m³
Poisson ratio	υ	0.3	0.3	0.3	–

Fig. 4.

Curve fitting for the soil models with the TOSS test data

Citation: Pollack Periodica 16, 3; 10.1556/606.2021.00353

6 Results

After the first stage, the whole specimen is subjected to a confinement stress of 94 kPa, as a result, the normal solid stresses in the three directions will be the same for all the elements, with no noticeable irregularities even with the pinned bottom surface.

The load history duration is 0.801 seconds, with time increments of 0.001 seconds, which results in 801 total time steps for each analysis. Figure 5 shows the distribution of shear stresses and strains along the radius of the specimen at the final increment. As expected, similar observations will be made for both the R–O and H–D soil models, as the distribution is uniform along the height of the specimen and it increases with the distance from the center, which shows the benefit of using a hollow cylindrical specimen for more even distribution of stress and strain along the radius of the sample.

Fig. 5.

Shear stresses and strains distribution along the radius (R–O model), a) θ-Z shear stress, b) θ-Z shear strain

Citation: Pollack Periodica 16, 3; 10.1556/606.2021.00353

The average solid stresses and strains in the θ-Z direction (S-YZ, E-YZ) for three elements (inner, middle, and outer elements) in the model were compared to the shear stress-strain curves from the TOSS test for both material models. Moreover, the dynamic shear modulus was calculated from these curves and compared as well with the shear modulus degradation curves obtained from RC-TOSS tests.

Figure 6 shows a very good fit between the test data and the curves obtained from FEM calculations on Midas using the Ramberg-Osgood model. On the other hand, the fit was not as good when using the Hardin-Drnevich model with the parameters in Table 1 as it can be seen in Fig. 7, and the calculated values would drift even further from the test data at higher stress levels when using the conventional hyperbolic Hardin-Drnevich formula (7).

Fig. 6.

Shear stress-strain curve from Midas using Ramberg-Osgood model

Citation: Pollack Periodica 16, 3; 10.1556/606.2021.00353

Fig. 7.

Shear stress-strain curve from Midas using Hardin-Drnevich model

Citation: Pollack Periodica 16, 3; 10.1556/606.2021.00353

Figure 2 shows how both models predict the shear modulus in the Finite Element Method (FEM) calculations on Midas. The Ramberg-Osgood shear modulus degradation curve was calculated from Eq. (2), which matches perfectly with the FEM R–O calculations in Midas and shows a very good agreement with the RC and TOSS tests. While the modulus reduction curve for the Hardin-Drnevich model, which was obtained from the one-way monotonic curve resulted from analyzing the model on Midas, gives a curve that is higher than the real values until it reaches a strain value of 0.057%, where it drops below the TOSS test curve.

Darendeli [19] suggested modifying the hyperbolic model in order to reach a better representation of the normalized modulus reduction curve by integrating a curvature coefficient a into the equation. This modification can be applied to the hyperbolic equation by Hardin and Drnevich for better prediction of the hysteresis behavior of soils. The modified equation is given as follows:

τ = \frac{G_{0} γ}{1 + {| \frac{γ}{γ_{r}} |}^{a}} .

(9)

By using the same method as before (the least square method), the values of the reference strain: $γ_{r} = 0.00132$ mm/mm, and the curvature coefficient: $a = 0.7129$ , give a much better fit with the testing data for both the stress-strain curve (Fig. 8) and the modulus degradation curve (Fig. 2) than the conventional Hardin-Drnevich model.

Fig. 8.

Modified Hardin-Drnevich model by Darendeli

Citation: Pollack Periodica 16, 3; 10.1556/606.2021.00353

7 Conclusion

This study concentrates on the dynamic behavior of soils when subjected to irregular loading patterns. Resonant column and TOSS tests were analyzed, and their results were used as a reference to evaluate the ability of the Ramberg-Osgood and Hardin-Drnevich soil models to predict the shear stress-strain curves under such types of loads. The model built on Midas was developed, and some modeling difficulties in the previous model were solved in order for the model to be able to produce accurately more complex hysteretic curves for earthquake load histories. It was confirmed that this model has the capability to imitate the TOSS test conditions, as it shows good agreement with modulus degradation and hysteretic behavior of the soil in the test, especially for the Ramberg-Osgood model, while it was clear that the Hardin-Drnevich model struggled to accurately match the nonlinearity of the shear stress-strain curve. As a result, the curvature coefficient introduced to the equation is suggested to be used by the FEM software for better results. This model can be a useful and convenient tool to simulate the TOSS test for irregular load histories based on a simple cyclic or even one-way test, and then use the parameter for more complex geotechnical problems.

References

[1]
E. Bak , “Numerical modeling of pile load tests,” Pollack Period., vol. 8, no. 2, pp. 131–140, 2013.
- Crossref
- Search Google Scholar
- Export Citation
[2]
J. Szép , “Modeling laterally loaded piles,” Pollack Period., vol. 8, no. 2, pp. 117–129, 2013.
- Crossref
- Search Google Scholar
- Export Citation
[3]↑
A. Achouri and M. N. Amrane , “Effect of structures density and tunnel depth on the tunnel-soil-structures dynamical interaction,” Pollack Period., vol. 15, no. 1, pp. 91–102, 2020.
- Crossref
- Search Google Scholar
- Export Citation
[4]↑
B. Hardin and F. Richart , “Elastic wave velocities in granular soils,” J. Soil Mech. Found. Div. , vol. 89, no. SM1, pp. 33–65, 1963.
- Crossref
- Search Google Scholar
- Export Citation
[5]↑
B. Hardin and W. Black , “Sand stiffness under various triaxial stresses,” J. Soil Mech. Found. Div. , vol. 92, no. SM2, pp. 27–42, 1966.
- Crossref
- Search Google Scholar
- Export Citation
[6]↑
T. Wichtmann , M. Navarrete Hernández , and T. Triantafyllidis , “On the influence of a non-cohesive fines content on small strain stiffness, modulus degradation and damping of quartz sand,” Soil Dyn. Earthquake Eng., vol. 69, no. 2, pp. 103–114, 2015.
- Crossref
- Search Google Scholar
- Export Citation
[7]↑
M. Vucetic and R. Dobry , “Effect of soil plasticity on cyclic response,” J. Geotech. Eng. ASCE , vol. 117, no. 89, pp. 89–107, 1991.
- Crossref
- Search Google Scholar
- Export Citation
[8]↑
K. Ishihara , Soil Behavior in Earthquake Geotechnics. Oxford University Press 1996.
- Search Google Scholar
- Export Citation
[9]↑
R. P. Ray , “Changes in shear modulus and damping in cohesionless soils due to repeated loading,” PhD Thesis, University of Michigan, 1983.
- Search Google Scholar
- Export Citation
[10]↑
R. Ray and R. Woods , “Modulus and damping due to uniform and variable cyclic loading,” J. Geotech. Eng. , vol. 114, no. 8, pp. 861–876, 1988.
- Crossref
- Search Google Scholar
- Export Citation
[11]↑
Z. Szilvágyi , “Dynamic soil properties of Danube sands,” PhD Thesis, Győr, Hungary: Széchenyi István University, 2017.
- Search Google Scholar
- Export Citation
[12]↑
H. Seed and I. Idriss , “Soil moduli and damping factors for dynamic response analysis,” Technical Report EERC 70-10, Earthquake Engineering Research Center, University of Cal. Berkeley, 1970.
- Search Google Scholar
- Export Citation
[13]↑
W. Ramberg and W. R. Osgood , “Description of stress strain curves by three parameters,” Tech. Notes, Natl. Advisory Committee Aeronautics, vol. 902, 1943.
- Search Google Scholar
- Export Citation
[14]↑
E. Faccioli , V. Santayo , and J. Leone , “Microzonation criteria and seismic response studies for the city of Managua,” in Proceedings of Earthquake Engineering Research Institute Conference, San Fransico, California, Nov. 29–30, 1973, 1973, pp. 271–291.
- Search Google Scholar
- Export Citation
[15]↑
G. Masing , “Self stretching and hardening for brass” (in German), in Proc. 2nd Int. Congr. Appl. Mech., Zurich, 1926, 1926, pp. 332–335.
- Search Google Scholar
- Export Citation
[16]↑
R. Pyke , “Nonlinear soil models for irregular cyclic loadings,” J. Geotech. Geoenviron. Eng., vol. 106, no. GT11, pp. 715–726, 1979.
- Search Google Scholar
- Export Citation
[17]↑
B. Hardin and V. Drnevich , “Shear modulus and damping in soils: Design equations and curves,” J. Soil Mech. Found. Div., vol. 98, no. SM7, pp. 667–692, 1972.
- Crossref
- Search Google Scholar
- Export Citation
[18]↑
Z. Szilvágyi and R. P. Ray , “Verification of the Ramberg-Osgood material model in Midas GTS NX with the modeling of torsional simple shear tests,” Period. Polytech. Civil Eng., vol. 62, no. 3, pp. 629–635, 2018.
- Search Google Scholar
- Export Citation
[19]↑
M. B. Darendeli , “Development of a new family of normalized modulus reduction and material damping curves,” PhD Thesis, University of Texas at Austin, USA, 2001.
- Search Google Scholar
- Export Citation

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Print ISSN:: 1788-1994

Online ISSN:: 1788-3911

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Jeno Balogh (Department of Civil Engineering Technology, Metropolitan State University of Denver, Denver, Colorado, USA)
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SNIP	0.849
Scimago
SJR index	0.288
SJR Q rank	Q3

Pollack Periodica
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