The well-known Modified Cam Clay material model is used worldwide to model clays and other soils that exhibit yielding and non-linear elastic-plastic deformaiton patterns.
This webinar will review this material model in SIGMA/W.
The Modified Cam Clay material model in SIGMA/W can be used to simulate clays and other soils that exhibit yielding and non-linear elastic-plastic deformation patterns. This webinar will introduce you to MCC model theory and formulation and step you through the analysis and calibration of a triaxial test in SIGMA/W. A comparison of laboratory data to the SIGMA/W results will also be presented.
Overview
Speakers
Kathryn Dompierre
Duration
28 min
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[00:00:06.900]
 <v Kathryn>Hello, and welcome to this GeoStudio</v>
[00:00:08.510]
 Material Model webinars series on Modified Cam Clay.
[00:00:12.810]
 My name is Kathryn Dompierre,
[00:00:14.300]
 and I’m a Research and Development Engineer
[00:00:16.300]
 with the GEOSLOPE engineering team here at Seequent.
[00:00:19.860]
 Today’s webinar will be approximately 30 minutes long
[00:00:23.340]
 attendees can ask questions using the chat feature.
[00:00:26.290]
 I will respond to these questions via email
[00:00:28.600]
 as quickly as possible.
[00:00:30.520]
 A recording of the webinar will be available
[00:00:32.530]
 so participants can review the demonstration
[00:00:35.120]
 at a later time.
[00:00:39.565]
 GeoStudio is a software package developed for geotechnical
[00:00:42.600]
 engineers and earth scientists comprise of several products.
[00:00:47.210]
 The range of products allows users to solve
[00:00:49.490]
 a wide array of problems
[00:00:50.700]
 that may be encountered in these fields.
[00:00:54.440]
 Today’s webinar will focus on SIGMA/W.
[00:00:58.040]
 Those looking to learn more about the products,
[00:01:00.000]
 including background theory,
[00:01:01.500]
 available features and typical modeling scenarios
[00:01:04.440]
 can find an extensive library of resources
[00:01:06.690]
 on the GEOSLOPE website.
[00:01:09.290]
 Here, you can find tutorial videos,
[00:01:11.290]
 examples with detailed explanations
[00:01:13.940]
 and engineering books on each product.
[00:01:18.700]
 To begin this webinar,
[00:01:19.660]
 let us consider a soil element
[00:01:21.550]
 using both the experimental approach
[00:01:24.350]
 and a numerical approach.
[00:01:27.720]
 And in experimental approach there’s a real soil sample
[00:01:30.590]
 that is used for example, to conduct attracts yield test.
[00:01:34.770]
 The responses of this soil sample are measured
[00:01:37.130]
 in the laboratory and the soil behavior
[00:01:39.070]
 can be studied accordingly.
[00:01:41.960]
 And the numerical approach on the other hand,
[00:01:43.770]
 it is necessary to perform a calibration process
[00:01:46.490]
 for the constituent of model
[00:01:47.890]
 as the first step of numerical modeling,
[00:01:51.430]
 the measured results from the soil sample
[00:01:53.300]
 are required at this step.
[00:01:56.720]
 This calibration procedure provides model constants
[00:01:59.500]
 for the soil.
[00:02:01.960]
 These constants are then used as input parameters
[00:02:04.730]
 for a numerical model
[00:02:06.230]
 for example in SIGMA/W
[00:02:08.420]
 and this simulated results will be obtained
[00:02:10.650]
 by solving the numerical model.
[00:02:14.290]
 The simulated results can then be compared
[00:02:16.450]
 to the corresponding laboratory results
[00:02:18.920]
 to verify the accuracy of the numerical modeling.
[00:02:23.040]
 In today’s webinar the calibration procedure
[00:02:25.170]
 for the modified Cam Clay material model will be provided.
[00:02:29.310]
 This process will be applied to a specific type of Clay
[00:02:32.480]
 as an example and the numerical values
[00:02:34.630]
 of the model constants will be calculated.
[00:02:38.400]
 The main steps of modeling attracts yield test
[00:02:40.670]
 in SIGMA/W will be reviewed,
[00:02:43.810]
 and the simulation results will be compared
[00:02:45.750]
 to the experimental and analytical results
[00:02:48.170]
 for validation purposes.
[00:02:52.010]
 This webinar will begin by reviewing the theory
[00:02:54.370]
 of the modified Cam Clay constituent of model.
[00:02:57.660]
 Then step-by-step instructions will be provided
[00:03:00.160]
 for calibrating this material model
[00:03:01.820]
 using attracts field data series.
[00:03:05.350]
 A demonstration of the steps of modeling attracts
[00:03:07.900]
 yield test and SIGMA/W will be provided.
[00:03:10.500]
 And the simulated results will become paired and verified
[00:03:13.240]
 using the analytical and laboratory results.
[00:03:18.050]
 The modified Cam Clay material model is a critical state
[00:03:21.030]
 based non-linear constituent model
[00:03:23.430]
 developed by Roscoe and Berlin in 1968.
[00:03:27.580]
 In this model the author is modified
[00:03:29.300]
 their previous constituent of model
[00:03:31.200]
 by changing the geometry of the yield surface
[00:03:33.610]
 from a bullet shape service to an ellipse.
[00:03:37.350]
 For an isotropic loading condition
[00:03:39.420]
 where the stress path is entirely located
[00:03:41.700]
 on the horizontal axis.
[00:03:43.790]
 The plastic strain increment vector is also horizontal
[00:03:48.010]
 note that the plastic strain increment vector
[00:03:50.210]
 is perpendicular to the yield surface.
[00:03:53.680]
 The soil state is over consolidated
[00:03:55.730]
 before reaching the yield surface.
[00:03:58.170]
 After that the elliptical surface will be scaled up
[00:04:00.950]
 as loading progresses.
[00:04:03.520]
 The soil undergoes normal consolidation in this phase.
[00:04:08.870]
 The soil response is assumed to be linear
[00:04:11.110]
 in V versus lawn P prime space.
[00:04:14.620]
 The slope of the normal consolidation line
[00:04:16.610]
 is called the Virgin compression index or lambda
[00:04:20.490]
 while the over consolidation and unloading, reloading lines
[00:04:23.610]
 are assumed to be parallel.
[00:04:26.340]
 Their slope is called the swelling index or Kappa.
[00:04:32.350]
 In a deviatoric loading condition
[00:04:34.320]
 where the vertical principles stress
[00:04:35.880]
 is different than the horizontal one.
[00:04:38.090]
 The stress path reaches the elliptical yield surface
[00:04:40.820]
 at a point away from the horizontal axis.
[00:04:44.020]
 This means that the plastic strain increment vector
[00:04:46.520]
 contains deviatoric components as well.
[00:04:50.250]
 In V versus lawn P prime space
[00:04:52.810]
 the over consolidation and unloading, reloading phases
[00:04:56.100]
 are still aligned with a slope of kappa.
[00:04:59.240]
 However, the normal consolidation phase
[00:05:01.330]
 is not necessarily a straight line
[00:05:03.370]
 for a general and isotropic loading condition.
[00:05:08.980]
 Before moving on to the demonstration,
[00:05:11.010]
 we need to review some fundamental formulations.
[00:05:14.900]
 As mentioned before the modified Cam Clay material model
[00:05:17.790]
 is a critical state based constituent of model.
[00:05:20.460]
 So different stress paths
[00:05:22.170]
 eventually tend to the critical state line.
[00:05:25.650]
 In this model the slope of the critical state line
[00:05:28.950]
 or the critical state stress ratio
[00:05:31.400]
 can be expressed in terms of the effective friction angle
[00:05:34.130]
 in the more coolum failure criteria.
[00:05:38.590]
 The yield surface is an ellipse
[00:05:40.360]
 that passes through the origin
[00:05:42.060]
 and intersects the critical state line
[00:05:44.120]
 at its peak point.
[00:05:48.220]
 The over consolidation ratio
[00:05:50.050]
 is the ratio between the maximum isotropic stress
[00:05:52.840]
 experienced by the soil
[00:05:54.280]
 and the current isotropic stress of the soil.
[00:05:59.930]
 For a stress state inside the yield surface
[00:06:02.300]
 the soil response is elastic.
[00:06:04.440]
 The compliance matrix is diagonal
[00:06:07.090]
 and the bulk and shear modular are both proportional
[00:06:09.730]
 to the mean effect of stress, P prime
[00:06:13.000]
 and the specific volume V.
[00:06:17.520]
 After reaching the yield surface and as it expands,
[00:06:20.640]
 the soil response becomes elasto plastic
[00:06:23.630]
 and non diagonal coupled components
[00:06:25.710]
 appear in the compliance matrix.
[00:06:28.480]
 Incremental strains in this condition
[00:06:30.450]
 are the summation of elastic and plastic strains.
[00:06:33.530]
 And so the current stress ratio plays a key role
[00:06:36.240]
 in the soil response.
[00:06:40.690]
 According to the framework proposed in the modified
[00:06:42.910]
 Cam Clay model, the model constants include
[00:06:46.600]
 the slope of the normal isotropic consolidation line
[00:06:49.280]
 represented by lambda,
[00:06:51.670]
 the slope of the over consolidation line or kappa,
[00:06:55.890]
 the effective poisson’s ratio, new prime
[00:07:00.260]
 and the effect of critical state friction angle, five-prime.
[00:07:04.700]
 These four constants determined the soil type
[00:07:06.940]
 based on the modified Cam Clay model.
[00:07:10.100]
 Some other parameters will also be needed
[00:07:11.910]
 to describe the initial conditions
[00:07:13.640]
 of a specific soil sample.
[00:07:16.110]
 These include the initial void ratio, the unit weight
[00:07:20.820]
 and the over consolidation ratio.
[00:07:26.480]
 In order to find the model constant
[00:07:28.140]
 corresponding to a specific soil,
[00:07:30.410]
 a step-by-step calibration procedure is discussed here
[00:07:33.370]
 based on drain tracks, yield test results.
[00:07:36.800]
 As the first step, the critical state stress ratio
[00:07:40.350]
 M sub C or its equivalent,
[00:07:43.130]
 the effect of critical state friction angle
[00:07:45.840]
 can be estimated from drain tracks, yield test results.
[00:07:51.090]
 According to critical state soil mechanics,
[00:07:53.240]
 stress paths of samples
[00:07:54.550]
 with different initial confining stresses
[00:07:56.950]
 eventually tend to the critical state line
[00:07:59.000]
 at their failure point.
[00:08:00.940]
 Therefore, the critical state line
[00:08:02.480]
 is a straight line that passes through the failure points.
[00:08:06.130]
 The critical state stress ratio MC
[00:08:09.270]
 is the slope of this line.
[00:08:12.600]
 This constant can be calculated
[00:08:14.220]
 using the method of least squares.
[00:08:18.300]
 Since the failure criteria in the modified Cam Clay model
[00:08:21.210]
 is the same as the more cooler model,
[00:08:23.200]
 the effect of critical state friction angle five-prime
[00:08:26.190]
 is not independent of the critical state stress ratio, MC
[00:08:30.720]
 and can be expressed directly in terms of it.
[00:08:37.290]
 To demonstrate the calibration procedure
[00:08:39.570]
 let us consider three drained tracks yield compression tests
[00:08:43.040]
 on Bothkennar clay that was conducted by McGinty in 2006.
[00:08:48.440]
 These three tests have been performed
[00:08:50.010]
 at different confining pressures.
[00:08:52.490]
 The deviator compression stress
[00:08:54.240]
 and these tests continued until failure was achieved.
[00:08:58.630]
 The critical state line
[00:08:59.780]
 that passes through the failure points
[00:09:01.610]
 in P prime versus Q space has a slope of 1.36.
[00:09:07.750]
 Thus, the critical state ratio MC is 1.36
[00:09:12.150]
 and consequently, the effective friction angle
[00:09:14.390]
 is calculated to be 33.7 degrees.
[00:09:21.480]
 The second step of the calibration procedure
[00:09:23.600]
 is to estimate the slope
[00:09:24.790]
 of the over consolidation line or kappa.
[00:09:28.530]
 For an over consolidated soil
[00:09:30.290]
 kappa is the slope of the over consolidation line
[00:09:32.720]
 and represents the elastic response of the sample.
[00:09:36.600]
 The trends of the measured values of P prime and V
[00:09:39.230]
 in this branch of the graph
[00:09:40.530]
 can be projected to a straight line.
[00:09:43.280]
 The slope of the Y intercept of this line
[00:09:45.400]
 can be calculated directly
[00:09:46.910]
 using the method of least squares.
[00:09:51.500]
 An alternative method for estimating kappa
[00:09:54.160]
 is to use the corresponding parameters
[00:09:56.210]
 measured during an unloading, reloading process.
[00:09:59.540]
 For a normally consolidated soil
[00:10:01.670]
 the unloading reloading process
[00:10:03.280]
 is required for estimating kappa.
[00:10:06.190]
 The method of least squares can again be used
[00:10:08.220]
 to calculate the slope and the Y intercept
[00:10:10.790]
 of this straight line.
[00:10:15.660]
 Let us apply the second calibration step
[00:10:17.680]
 to the example, tracks yield test results
[00:10:20.010]
 on Bothkennar clay mentioned earlier.
[00:10:23.380]
 The over consolidation branch in each of these three curves
[00:10:26.550]
 is projected to a straight line.
[00:10:29.700]
 The slope of these three lines is almost the same
[00:10:32.650]
 So their average 0.084 is used as the constant kappa
[00:10:37.890]
 for this type of clay.
[00:10:43.110]
 In the third step of the calibration procedure,
[00:10:45.980]
 the slope of the normal isotropic consolidation line
[00:10:49.190]
 or lambda will be estimated.
[00:10:51.990]
 It should be noted that lambda’s the slope
[00:10:53.770]
 of the normal consolidation line
[00:10:55.370]
 only in an isotropic loading condition.
[00:10:58.520]
 For other loading conditions however,
[00:11:00.320]
 the normal consolidation branch
[00:11:02.340]
 in V versus lawn P prime space is not necessarily linear.
[00:11:07.110]
 And so the slope of its curve is obviously
[00:11:09.370]
 not equal to lambda.
[00:11:12.630]
 Based on the modified Cam Clay framework
[00:11:14.800]
 it can be proved that there is an alternative space
[00:11:17.580]
 in which the sample response is linear,
[00:11:19.580]
 even under normal consolidation.
[00:11:22.110]
 The X and Y axes in this space
[00:11:24.080]
 are functions of the measured parameters
[00:11:26.040]
 and constants estimated in the previous steps.
[00:11:30.640]
 The over consolidation and unloading, reloading branches
[00:11:33.660]
 are both horizontal in this new space.
[00:11:37.270]
 And the normal consolidation branch
[00:11:39.470]
 is a straight to sending line.
[00:11:42.390]
 The slope of this line represents the difference
[00:11:44.410]
 between the isotropic normal consolidation slope, lambda,
[00:11:47.900]
 and the over consolidation slope, kappa.
[00:11:52.010]
 Given that we already estimated kappa in the previous step,
[00:11:55.400]
 the constant lambda can be found by applying
[00:11:57.710]
 the method of least squares on the proposed space.
[00:12:04.650]
 As shown in this figure,
[00:12:05.720]
 the data points corresponding
[00:12:07.220]
 to three example tracks yield test
[00:12:09.400]
 are plotted in this alternate space.
[00:12:12.470]
 The average value of the slopes of these three curves
[00:12:15.270]
 in the normal consolidation branch
[00:12:17.080]
 indicates the difference between lambda and kappa.
[00:12:20.960]
 Since the value of kappa was previously obtained as 0.084
[00:12:25.960]
 the constant lambda is estimated here to be 0.332.
[00:12:35.330]
 The fourth step of the calibration procedure
[00:12:37.480]
 is to calculate the over consolidation ratio
[00:12:39.870]
 for each soil sample.
[00:12:42.640]
 To do this, it is required to recognize
[00:12:44.960]
 the mean effective pressure
[00:12:46.450]
 in which the response of the sample changes
[00:12:49.070]
 from the over consolidation condition
[00:12:51.170]
 to the normal consolidation condition.
[00:12:55.250]
 Let us refer to this pressure as the yield pressure
[00:12:57.890]
 or P prime Y.
[00:13:00.880]
 The over consolidation ratio however,
[00:13:02.790]
 is the ratio between the isotropic
[00:13:05.200]
 pre consolidation pressure P prime C,
[00:13:08.420]
 and the isotropic initial pressure P prime zero.
[00:13:12.730]
 As stated earlier the response of the soil changes
[00:13:15.410]
 from an elastic or over consolidated state
[00:13:18.580]
 to a elasto plastic or normally consolidated state
[00:13:22.090]
 only if its stress path touches the yield surface.
[00:13:26.830]
 As a result for a stress path that is not
[00:13:29.170]
 necessarily isotropic the yield pressure P prime Y
[00:13:33.040]
 is less than the isotropic
[00:13:34.600]
 pre consolidation pressure P prime C
[00:13:38.240]
 these two pressures however, are not independent.
[00:13:43.250]
 For example, in a drain tracks yield stress pass
[00:13:45.810]
 with a slope of three to one.
[00:13:47.830]
 The deviatoric stress at the yield surface is three times
[00:13:50.980]
 the difference between the yield and initial pressures.
[00:13:54.570]
 So the isotropic pre-consultation pressure P prime C
[00:13:58.563]
 can be expressed in terms of yield stresses
[00:14:00.757]
 using the yield function of the elliptical surface.
[00:14:05.155]
 Finally, the over consolidation ratio
[00:14:07.332]
 is estimated as a ratio between
[00:14:09.254]
 the isotropic pre consolidation pressure, P prime C,
[00:14:12.980]
 and the isotropic initial pressure B prime zero.
[00:14:20.400]
 This approach is applied on the Bothkennar clay
[00:14:22.550]
 triaxial test data to estimate the over consolidation ratio
[00:14:26.520]
 for each of the three samples.
[00:14:29.350]
 First of all,
[00:14:30.183]
 the yield points of the samples
[00:14:31.580]
 in V versus lawn P prime space are detected.
[00:14:35.560]
 The values of P prime Y for tests A1, A2 and A3
[00:14:41.090]
 are about 83, 107 and 179 KPA respectively.
[00:14:47.630]
 According to these yield pressures,
[00:14:49.310]
 three yield surfaces are drawn
[00:14:51.060]
 and the isotropic pre-consultation pressures
[00:14:53.590]
 for three samples have been estimated as 115,
[00:14:58.680]
 120 and 201 KPA respectively.
[00:15:04.220]
 With this the over consolidation ratios for the samples
[00:15:07.440]
 are found to be 2.069, 1.224 and 1.339.
[00:15:16.120]
 Therefore the first sample is more over consolidated
[00:15:19.090]
 than the other two samples.
[00:15:21.170]
 This can also be deduced from the response of the sample
[00:15:23.950]
 in V versus lawn P prime space,
[00:15:26.530]
 where it has a longer elastic branch than the other samples.
[00:15:31.900]
 The last step of the calibration procedure
[00:15:34.140]
 for the modified Cam Clay constituent of model
[00:15:36.730]
 is to determine the effective Poisson’s ratio, new prime.
[00:15:41.680]
 Poissons ratio is defined as the ratio
[00:15:43.930]
 of the change in the elements radio strain
[00:15:46.700]
 to the change in its axial strain in a drained test.
[00:15:51.030]
 In the modified Cam Clay model,
[00:15:52.930]
 the Poisson’s ratio is considered only for the elastic
[00:15:56.150]
 or over consolidated condition
[00:15:58.250]
 and its value is assumed to remain constant during loading.
[00:16:03.230]
 Consequently in a drain tracks yield test,
[00:16:06.050]
 the method of least squares can be applied
[00:16:08.090]
 on the purely elastic or over consolidated part of the curve
[00:16:12.010]
 in radial strain versus axial strain space
[00:16:15.280]
 to estimate the value of the effective Poisson’s ratio.
[00:16:21.030]
 Lets us supply this final step to the Bothkennar clay
[00:16:23.370]
 tracks yield test data.
[00:16:26.030]
 The yield points of the samples have already been detected
[00:16:28.840]
 in the previous steps and are marked with an X
[00:16:31.580]
 in these figures.
[00:16:34.230]
 As can be seen from the figure on the right
[00:16:36.520]
 the sample response in this space is almost linear
[00:16:39.640]
 before reaching the yield surface
[00:16:41.720]
 while nonlinear behavior begins after yielding.
[00:16:46.430]
 If the linear response of all three samples
[00:16:48.570]
 was approximated by only one straight line
[00:16:51.040]
 passing through the origin,
[00:16:52.800]
 the slope of that line would be approximately 0.353.
[00:16:57.860]
 This value is an estimation of the effective Poisson’s ratio
[00:17:01.420]
 of the Bothkennar clay.
[00:17:06.750]
 The results of the calibration procedure
[00:17:08.570]
 for the Bothkennar clay can be summarized as follows
[00:17:11.760]
 four model constants have been estimated,
[00:17:14.170]
 including the slope of the normal
[00:17:15.830]
 isotropic consolidation line,
[00:17:18.030]
 the slope of the over consolidation line,
[00:17:20.500]
 the effective Poisson’s ratio
[00:17:22.090]
 and the effective critical state friction angle.
[00:17:25.770]
 In addition the sample specific parameters
[00:17:28.010]
 for these three tests include initial void ratios,
[00:17:31.360]
 which were measured directly in the lab
[00:17:33.820]
 and over consolidation ratios,
[00:17:35.770]
 which were estimated in the calibration procedure.
[00:17:39.940]
 These constants and parameters will be inputted in SIGMA/W
[00:17:43.280]
 using the modified Cam Clay material model.
[00:17:49.120]
 Now that we’ve reviewed the step-by-step
[00:17:50.700]
 calibration procedure for the modified
[00:17:52.530]
 Cam Clay material model,
[00:17:54.230]
 I will describe how two model attract seal test in SIGMA/W
[00:17:57.830]
 and compare the numerical results
[00:17:59.630]
 with the previously mentioned laboratory data.
[00:18:02.980]
 The numerical model configuration is based on the geometry
[00:18:06.200]
 and boundary conditions of the tracks yield test
[00:18:08.440]
 conducted in the laboratory.
[00:18:10.970]
 A typical track yield test sample has a cylindrical shape
[00:18:14.320]
 with a diameter of five centimeters
[00:18:16.250]
 and a height of 10 centimeters.
[00:18:18.830]
 Due to the axisymmetry shape of this geometry
[00:18:21.280]
 with respect to the central vertical axis,
[00:18:24.050]
 we can use the 2D axisymmetry geometry type in SIGMA/W.
[00:18:28.930]
 The geometry is also symmetric with respect
[00:18:31.270]
 to the horizontal axis.
[00:18:33.260]
 So I will only model the top half
[00:18:35.010]
 of the tracks yield sample.
[00:18:37.940]
 An eight node Single element model
[00:18:40.250]
 is considered for the resulting rectangle.
[00:18:43.170]
 The left and bottom sides of this model
[00:18:45.040]
 are fixed in the X and Y directions respectively,
[00:18:48.320]
 while loads are applied to the other two sides.
[00:18:53.180]
 The next step for setting up our SIGMA/W analysis
[00:18:55.780]
 is the material definition.
[00:18:59.420]
 This step is performed in the defined materials dialogue.
[00:19:02.570]
 The material model is set to modified Cam Clay.
[00:19:06.300]
 The sample parameters including the initial void ratio
[00:19:09.040]
 and over consolidation ratio
[00:19:11.100]
 are entered as discussed earlier.
[00:19:13.710]
 It should be noted that the effect of the soil self weight
[00:19:16.430]
 can be removed by setting the unit weight to zero.
[00:19:19.720]
 While the key note effect can be deactivated
[00:19:22.460]
 by specifying Key note and C as one.
[00:19:27.370]
 Lastly, the constitutive model constants are entered
[00:19:30.410]
 based on the results from the calibration procedure
[00:19:32.800]
 for both Cam Clay.
[00:19:36.720]
 The simulated tracks yield models are then loaded
[00:19:39.300]
 under first, the isotropic confining pressure
[00:19:43.340]
 and secondly the deviatoric pressure,
[00:19:47.200]
 thus there are two SIGMA/W analysis required
[00:19:49.740]
 for each of the triaxial tests.
[00:19:52.800]
 The confining pressure analysis acts as the parent
[00:19:55.800]
 and its results are used as the initial data
[00:19:58.200]
 for the displacement controlled deviatoric analysis.
[00:20:03.020]
 These conditions are established
[00:20:04.380]
 using the boundary condition
[00:20:05.540]
 specified in the defined boundary conditions dialogue.
[00:20:08.800]
 For example, in test A1 the constant normal stress
[00:20:12.270]
 of 58 KPA is applied on both the right and top sides
[00:20:16.390]
 of the model using a normal tan stress boundary type
[00:20:19.920]
 for the confining pressure analysis.
[00:20:23.340]
 In the deviatoric analysis,
[00:20:25.260]
 a displacement type boundary condition
[00:20:27.110]
 is applied to the top of the model.
[00:20:29.660]
 A displacement of two centimeters that is equivalent
[00:20:33.250]
 to 40% strain is applied linearly over time
[00:20:37.150]
 using a splined data point function.
[00:20:41.790]
 All the analysis are then solved in SIGMA/W
[00:20:45.150]
 and the stress, strain, displacement
[00:20:47.510]
 and other responses of the model
[00:20:49.330]
 can be extracted and interpreted.
[00:20:57.710]
 As shown here a 2D axisymmetry geometry
[00:21:00.540]
 is used to set up the model domain.
[00:21:03.170]
 In the 2D view only one quarter of the cross-section
[00:21:06.230]
 running through the center of the tracks yield sample
[00:21:08.700]
 is modeled given the symmetry of the domain.
[00:21:12.610]
 In the analysis tree, there are three sets of analysis
[00:21:15.640]
 each representing attracts yield test
[00:21:17.670]
 conducted on the Bothkennar clay samples.
[00:21:20.730]
 In each test the confining phase is the parent analysis
[00:21:24.620]
 and the deviatoric phase
[00:21:26.320]
 that use the results of the previous phase
[00:21:28.570]
 is the child analysis.
[00:21:32.140]
 The material properties for three soil samples
[00:21:34.440]
 were obtained using the outlined calibration procedure.
[00:21:38.070]
 The materials are specified
[00:21:39.480]
 in the defined materials dialogue.
[00:21:43.750]
 The same type of clay
[00:21:44.810]
 was subjected to the tracks yield tests.
[00:21:47.900]
 Therefore, the Constance of the modified Cam Clay model
[00:21:51.040]
 are similar for each sample.
[00:21:53.300]
 However, at the initial void ratio
[00:21:55.810]
 and over consolidation ratio are not the same
[00:21:58.460]
 for each sample
[00:21:59.520]
 and so three different materials were defined.
[00:22:14.750]
 And isotropic elastic material was used
[00:22:17.680]
 during the first phase of the tracks yield simulations,
[00:22:20.410]
 because the nonlinear stress strain response
[00:22:23.390]
 is inconsequential to establishing the initial stresses.
[00:22:27.640]
 The accumulated displacements and strains are reset
[00:22:30.640]
 at the start of the loading phase of the simulation.
[00:22:34.030]
 The three isotropic elastic materials defined here
[00:22:37.640]
 are applied to the corresponding, confining analysis.
[00:22:43.250]
 The defined modified Cam Clay materials
[00:22:45.860]
 are applied during the deviatoric portion of the tracks
[00:22:48.730]
 yield test simulations.
[00:23:00.500]
 The boundary conditions representing the confining pressures
[00:23:03.340]
 and deviatoric strain are specified
[00:23:05.800]
 in defined boundary conditions.
[00:23:08.040]
 Three constant confining pressures were created
[00:23:10.710]
 for the three tracks yield tests
[00:23:13.010]
 using the normal 10 stress boundary type.
[00:23:16.840]
 These boundary conditions
[00:23:18.010]
 are applied to the corresponding confining analysis.
[00:23:31.600]
 The deviatoric strain boundary for the displacement
[00:23:34.170]
 control loading phase of the tracks yield test
[00:23:37.000]
 uses the force displacement boundary type
[00:23:39.880]
 with a displacement function defined
[00:23:42.000]
 such that displacement increases
[00:23:43.740]
 over the deviatoric strain analysis
[00:23:45.830]
 from zero to two centimeters.
[00:23:52.970]
 Before solving an analysis
[00:23:54.460]
 the final step is to review the finite element mesh.
[00:23:58.070]
 In the draw mesh properties dialog
[00:24:00.500]
 we see that the global element mesh size is 0.05 meters
[00:24:05.670]
 thus, the model domain represents one element.
[00:24:10.700]
 This analysis has already been solved
[00:24:12.890]
 so I will move to the results view.
[00:24:17.690]
 I will go to the first deviatoric analysis
[00:24:19.970]
 to investigate the results.
[00:24:22.560]
 In the draw graph dialog, I have created graphs
[00:24:25.040]
 to illustrate the stress path, stress strain curve,
[00:24:29.300]
 and void ratio versus mean effect of stress.
[00:24:34.490]
 I can click through the different analysis
[00:24:36.580]
 to view the results from each.
[00:24:43.020]
 Let us now compare these results
[00:24:44.710]
 with the analytical solution
[00:24:46.680]
 and also with the corresponding laboratory data.
[00:24:56.480]
 The different simulation results of test A1
[00:24:59.300]
 are compared here with the corresponding laboratory results.
[00:25:03.240]
 Discrete scatter points represent the laboratory results
[00:25:07.100]
 and the continuous black lines
[00:25:08.890]
 are the SIGMA/W simulation results.
[00:25:12.550]
 Analytical results for the modified Cam Clay model
[00:25:15.420]
 are also shown in these diagrams as orange dashed lines.
[00:25:20.810]
 The full compatibility of the analytical
[00:25:22.920]
 and numerical curves shows the reliability
[00:25:25.860]
 of the implementation process
[00:25:27.550]
 of this material model in SIGMA/W.
[00:25:30.960]
 When comparing the laboratory results
[00:25:32.710]
 with the constituent of model simulations,
[00:25:35.400]
 some of the plots show a better fit than others.
[00:25:38.440]
 For instance, a very good match
[00:25:40.210]
 can be seen in the first curve
[00:25:42.230]
 where the data in V versus lawn P prime space
[00:25:45.640]
 is simulated by the modified Cam Clay model.
[00:25:49.450]
 However, the results from test A1
[00:25:51.400]
 in some of the other spaces
[00:25:53.410]
 do not match as nicely as the first curve
[00:25:56.330]
 because of the very nature of calibration.
[00:25:59.740]
 The calibration procedure highlighted in this webinar
[00:26:02.480]
 required multiple samples,
[00:26:04.420]
 which each have varying degrees of disturbance.
[00:26:08.010]
 For example, during the calibration process,
[00:26:10.880]
 the best fit line that was used to determine MC
[00:26:14.140]
 was below the A1 and A3 data points,
[00:26:17.610]
 but near the A2 data point,
[00:26:19.730]
 thus, the simulated deviatoric failure stress
[00:26:22.570]
 was underestimated for the A1 sample.
[00:26:26.820]
 Meanwhile, the simulated deviatoric failure stress
[00:26:29.660]
 better correlates to the laboratory results from test A2
[00:26:34.910]
 and underestimates the deviatoric failure stress
[00:26:37.610]
 for test A3.
[00:26:39.360]
 This demonstrates the nature of the calibration process.
[00:26:42.350]
 However, as mentioned for the first test,
[00:26:44.830]
 the analytical and numerical results show a perfect match
[00:26:48.100]
 verifying that SIGMA/W accurately represents
[00:26:50.540]
 the modified Cam Clay material model.
[00:26:55.390]
 In this webinar,
[00:26:56.560]
 the calibration procedure of the modified Cam Clay
[00:26:58.890]
 material model was provided in five straightforward steps.
[00:27:03.740]
 The results of the drain tracks yield test,
[00:27:06.030]
 where the only laboratory data set required for calibration.
[00:27:10.670]
 The identified material constants
[00:27:12.850]
 were used in a SIGMA/W numerical model,
[00:27:15.830]
 and the simulation results were found to compare favorably
[00:27:19.490]
 with both the analytical solution
[00:27:21.340]
 and corresponding laboratory results.
[00:27:27.690]
 Here are other references discussed in this webinar.
[00:27:38.020]
 We’ve now reached the end of the webinar.
[00:27:40.040]
 A recording of this webinar will be available
[00:27:42.020]
 to view online.
[00:27:43.730]
 Please take the time to complete the short survey
[00:27:45.940]
 that appears on your screen
[00:27:47.270]
 so we know what types of webinars
[00:27:48.810]
 you are interested in attending in the future.
[00:27:51.780]
 Thank you very much for joining us
[00:27:53.390]
 and have a great rest of your day, goodbye.