Modelling the MAT_024 (Piecewise Linear plasticity) card for Graphite cast iron from given True stress strain test data.
OBJECTIVE:
To extract the data from stress-strain curve given for graphite cast iron.
From the extracted data for various strain rates:
- Deduce the value of Elastic modulus. (E = 20.9 `times` `10^6` psi)
- Convert the data into Kg-mm-ms system of units.
- Process the data and create the material as demonstrated (Curve fitting - Equidistant strain data - Yield by 0.02% offset)
- Model the material in LSTC LS DYNA.
- Run uniaxial tensile simulation in solver
- Verify and validate results.
THEORY AND SOP FOR MATERIAL MODELLING USING RAW TEST DATA:
1. Test data:
Test data acquisition is done using "Get Data Digitizer" app, which could convert the graph image into data points and can export it into excdl format.

Graph 1- The graph for raw data from testing for three different strain rates.
2. Predicted data, Trendline equation and curve fitting.
- The raw data is collected and cleaned i.e reproducibility and kinks in curves are removed.
- The graph is plotted in excel using raw data, visual match confirmation from actual graph image (Raw data graph)
- The predicted data is derived from trendline equation retrieved from the raw data curve.
- The constants of the equation are manipulated in order to get the best fit for predicted data and raw data curve.
- The optimum constants for the trendline equations are formulated by curve fitting.
- Stress are found at equidistant strain points to get the smooth curve for LS DYNA input.
- Using 0.2% offset method, yield point is calculated.


Graph2 - Visual confirmation of plotted graph in excel with actual graph.
For x-y data, pl refer excel sheet "Data.xlsx. - Sheets(Test data)"
Linearity exist till strain = 0.001 or 0.1% strain.
2.1 Initial trendlines for each strain rate:
An initial trendline equation is formulated for graph plotted in excel using Raw test data for each strain rate saperately.
Strain rate 1
Trendline equation is a cubic polinomial which gives best RSQ value of 99%
Initial Trendline equation:
y = `10^-7``x^3` - 6 `times` `10^-5``x^2`+ 0.0089x - 0.0173
Equation can be written as : y = C1`x^3` + C2`x^2` + C3x + C4
where,
C1 = `10^-7`
C2 = - 6 `times` `10^-5`
C3 = 0.0089
C4 = -0.0173
Strain rate 2
Trendline equation is a cubic polinomial which gives best RSQ value of 99%
Initial Trendline equation:
y = 5`times``10^-7``x^3` - `10^-4``x^2`+ 0.0098x - 0.018
Equation can be written as : y = C1`x^3` + C2`x^2` + C3x + C4
where,
C1 = 5`times``10^-7`
C2 = - `10^-4`
C3 = 0.0098
C4 = - 0.018
Strain rate 3
Trendline equation is a linear relation which gives best RSQ value of 99%
Initial Trendline equation:
y = 0.0067x - 0.013
Equation can be written as : y = C1x+C2
where,
C1 = 0.0067
C2 = -0.013
2.2 Curve Fitting
- Predicted stress calculation: Initial trendline relations are used to get predicted data for stress from initial strain values using the trendline relations.
- `R^2` value: Square of difference between Raw test stress and Predicted data for each step.
- Summation of `R^2` (SSR): All values of `R^2` are summed together.
- Optimization of SSR: The value of SSR is optimized using Excel 'Solver' Add-in.
- Best fit curves have least value of SSR.
- The optimization of SSR is by getting the optimized value of C1, C2, C3 and C4.
- Thus, We get the optimum curve fit equation for strain rate.
3. Equidistant Strain values
From the equation we get from curve fitting, we get values of stress at strain values at equidistant intervals.
Here, interval is selected as per the curve fitting data.
4. 0.2% Offset
Yield point is very difficult to determine for a continuous curve. hence 0.2% offset strain method is used to get the shifted slope.
The intersection of this slope with origional curve gives the yield stress.
5. Calculation of effective plastic strain and corresponding stress from yield.
Effective plastic strain = Total true strain - (True stress/Youngs Modulus)
Effective plastic strains are calculated corresponding to the true stresses.
True stress values of first step is used for each step.(For metals)
LIST OF TABLES AND GRAPHS:
Graph 1- The graph for raw data from testing for three different strain rates.
Graph 2 - Visual confirmation of plotted graph in excel with actual graph.
Graph 3: Visual verification of Test data and simulation data for Effective stress Vs Effective plastic strain
Graph 4: Visual verification of Test data and simulation data for Effective stress Vs True strain
Table 1: Stress-strain data from test and predicted values of stress as per the trendline.
Table 2: The data containing optimized values for curve fitting. (Stress strain and optimized stress values)
Table 3: Constants of trendline equation before and after curve fitting.
Table 4: Effective stress corresponding to Effective plastic strain
Table 5: X-Y(Effective plastic Strain- effective stress) data to LS DYNA
Table 6: X-Y(Effective plastic Strain- effective stress) data from LS DYNA
Table 7: Verification for Youngs Modulus, Yield stress, Ultimate stress and Ultimate plastic strain.
CALCULATIONS AND STEPS IN DETAIL:
For Strain rate 1:
E is calculated using =Slope(Stress values, Strain values) = 21001866.3 psi
E = 21001866.3 psi
1 psi = 6894.76 Pa
1 Pa = 1/`10^9` Kg/mm.`ms^2`
i.e 21001866.3 psi = (21001866.3 `times` 6894.76)/`10^9` Kg/mm.`ms^2`
E = 144.8028277 Kg/mm.`ms^2`
E = 144802.8277 MPa
Initial Trend line-
y = `10^-7``x^3` - 6 `times` `10^-5``x^2`+ 0.0089x - 0.0173
C1 = `10^-7`
C2 = - 6 `times` `10^-5`
C3 = 0.0089
C4 = -0.0173
All values of strains from raw test data is put in initial trend line equation to get predicted values of stress.
Example:
Table 1: Stress-strain data from test and predicted values of stress as per the trendline.
| Strain | Stress (Kg/mm.ms2) | Predicted Stress (Kg/mm.ms2) |
| 1.20897E-05 | 0.000713247 | -0.01729989 |
| 3.65188E-05 | 0.005002565 | -0.01729967 |
| 8.51897E-05 | 0.011434084 | -0.01729924 |
| 0.000121833 | 0.017868062 | -0.01729892 |
| 0.000170442 | 0.023583874 | -0.01729848 |
| 0.00020721 | 0.031449265 | -0.01729816 |
| 0.000255819 | 0.037165077 | -0.01729772 |
| 0.000292525 | 0.044314761 | -0.0172974 |
| 0.000353348 | 0.052175233 | -0.01729686 |
| 0.000438413 | 0.062177904 | -0.0172961 |
| 0.000487271 | 0.070756541 | -0.01729566 |
| 0.000536067 | 0.078619472 | -0.01729523 |
| 0.000572898 | 0.087200569 | -0.0172949 |
| 0.000657651 | 0.093624709 | -0.01729415 |
| 0.000706509 | 0.102203347 | -0.01729371 |
| 0.000755305 | 0.110066278 | -0.01729328 |
| 0.000804038 | 0.117213502 | -0.01729284 |
Calculation of `R^2`
For stresses corresponding to Strain = 0.000170442
`R^2` = (`0.025147408^2` - `0.023583874^2`) = 2.44464E-06
Example
Table 2: The data containing optimized values for curve fitting.
| Strain | Stress (Kg/mm.ms2) | Predicted Stress (Kg/mm.ms2) | Squared error |
| 1.20897E-05 | 0.000713247 | -0.01729989 | 0.000324473 |
| 3.65188E-05 | 0.005002565 | -0.01729967 | 0.00049739 |
| 8.51897E-05 | 0.011434084 | -0.01729924 | 0.000825604 |
| 0.000121833 | 0.017868062 | -0.01729892 | 0.001236716 |
| 0.000170442 | 0.023583874 | -0.01729848 | 0.001671367 |
| 0.00020721 | 0.031449265 | -0.01729816 | 0.002376311 |
| 0.000255819 | 0.037165077 | -0.01729772 | 0.002966197 |
| 0.000292525 | 0.044314761 | -0.0172974 | 0.003796058 |
| 0.000353348 | 0.052175233 | -0.01729686 | 0.004826371 |
| 0.000438413 | 0.062177904 | -0.0172961 | 0.006316117 |
| 0.000487271 | 0.070756541 | -0.01729566 | 0.007753191 |
| 0.000536067 | 0.078619472 | -0.01729523 | 0.00919963 |
| 0.000572898 | 0.087200569 | -0.0172949 | 0.010919303 |
| 0.000657651 | 0.093624709 | -0.01729415 | 0.012302993 |
| 0.000706509 | 0.102203347 | -0.01729371 | 0.014279547 |
| 0.000755305 | 0.110066278 | -0.01729328 | 0.016220456 |
| 0.000804038 | 0.117213502 | -0.01729284 | 0.018091957 |
Summation of Squared error:Similarly, Squared error is calculated for each step.
All `R^2` values are summed together to calculate SSR.
SSR = Sum(All `R^2` values) = 7.013600395
Curve is:

The above value of SSR is to be optimized to get the best fit.
It is done using SOlver add-in
Go to - Data tab >> Solver >> Solver Panel opens>> Enter values >> Solve.
Choose cell with SSR value for minimum value.
Choose constants (C1. C2, C3 and C4) values.
Choose a solving method - GRG Non linear.

Optimized SSR = 0.000370408
Fit curve:

Optimized values of Constants:
| C1 | 1902063.588 |
| C2 | 30468.62156 |
| C3 | 174.0439469 |
| C4 | 0.003641266 |
Optimized relation between, Stress and strain:
y = 1902063.588 `x^3` + 30468.62156 `x^2` + 174.0439469x + 0.003641266
Table 3: Constants of trendline equation before and after curve fitting:
| BEFORE | AFTER |
| C1 = `10^-7` | C1 = 1902063.588 |
| C2 = -5`times``10^-5` | C2 = 30468.62156 |
| C3 = 0.0089 | C3 = 174.0439469 |
| C4 = -0.0176 | C4 = 0.003641266 |
| SSR = 7.013600395 | SSR = 0.000370408 |
| RSQ = 0.923691 | RSQ = 0.99964045 |
|
Equation: y = `10^-7`-5`times``x^3` -5`times` `10^-5``x^2`+ 0.0089x -0.0176 |
Equation: y = 1902063.588`x^3` + 30468.621`x^2`+ 174.043x + 0.99964045 |
RSQ is the percentage of curve fit.
Using the relation: y = 1902063.588`x^3` + 30468.621`x^2`+ 174.043x + 0.99964045
For strain intervals- 0.0001 stress values are calculated.
| Equidistant strain | Calculated stress (kg/mm.ms2) |
| 0 | 0 |
| 0.0001 | 0.017101611 |
| 0.0002 | 0.033605261 |
| 0.0003 | 0.049522364 |
| 0.0004 | 0.064864331 |
| 0.0005 | 0.079642576 |
| 0.0006 | 0.09386851 |
| 0.0007 | 0.107553546 |
| 0.0008 | 0.120709096 |
| 0.0009 | 0.133346573 |
| 0.001 | 0.145477389 |
| 0.0011 | 0.157112956 |
| 0.0012 | 0.168264687 |
| 0.0013 | 0.178943994 |
| 0.0014 | 0.18916229 |
| 0.0015 | 0.198930986 |
Curve:

Calculation of Yield stress:
0.2% strain is offseted and Stress is calculated by multiplying 'E' with strain.
Stress = 144.80 Kg/mm.`ms^2` `times` 0.0004 = 0.064864331 Kg/mm.`ms^2`
An offset value is used to get the intersection.

Yield stress = 0.3456 Kg/mm.`ms^2`
All calculate data:
| Youngs Modulus | Yield Stress | Ultimate stress | ||||
| Strain rate 1 | 144.8028277 GPa | 210 MPa | 377.752 MPa | |||
EFFECTIVE PLASTIC STRAIN CALCULATIONS.
Step1: True Stress and True strain at proportionality limit are tabulated.
Step2: All the values of true stress and strain are are tabulated after proportionality limit.
Step3: Effective plastic strain is calculated.
Effective plastic strain = Total True strain - (True Stress/ Youngs Modulus)
Step4: Corresponding values of effective plastic strain and effective stress are calculated.
Note: True stress is taken for first step only for every step because in metals, E is very large.
Table 4: Effective stress corresponding to Effective plastic strain
| Equidistant strain | True stress (MPa) | Effective plastic strain | Effective stress |
| 0 | 0 | 0 | 0 |
| 0.001 | 141.8361233 | 0.00000 | 141.8361233 |
| 0.0011 | 153.4716905 | 0.00020 | 153.4716905 |
| 0.0012 | 164.6234215 | 0.00030 | 164.6234215 |
| 0.0013 | 175.3027286 | 0.00040 | 175.3027286 |
| 0.0014 | 185.5210243 | 0.00050 | 185.5210243 |
| 0.0015 | 195.2897208 | 0.00060 | 195.2897208 |
| 0.0016 | 204.6202307 | 0.00070 | 204.6202307 |
| 0.0017 | 213.5239662 | 0.00080 | 213.5239662 |
| 0.0018 | 222.0123398 | 0.00090 | 222.0123398 |
| 0.0019 | 230.0967638 | 0.00100 | 230.0967638 |
| 0.002 | 237.7886506 | 0.00110 | 237.7886506 |
| 0.0021 | 245.0994126 | 0.00120 | 245.0994126 |
| 0.0022 | 252.0404622 | 0.00130 | 252.0404622 |
| 0.0023 | 258.6232118 | 0.00140 | 258.6232118 |
| 0.0024 | 264.8590737 | 0.00150 | 264.8590737 |
| 0.0025 | 270.7594604 | 0.00160 | 270.7594604 |
| 0.0026 | 276.3357841 | 0.00170 | 276.3357841 |
| 0.0027 | 281.5994574 | 0.00180 | 281.5994574 |
| 0.0028 | 286.5618925 | 0.00190 | 286.5618925 |
| 0.0029 | 291.2345018 | 0.00200 | 291.2345018 |
| 0.003 | 295.6286978 | 0.00210 | 295.6286978 |
| 0.0031 | 299.7558928 | 0.00220 | 299.7558928 |
| 0.0032 | 303.6274992 | 0.00230 | 303.6274992 |
| 0.0033 | 307.2549294 | 0.00240 | 307.2549294 |
| 0.0034 | 310.6495958 | 0.00250 | 310.6495958 |
| 0.0035 | 313.8229106 | 0.00260 | 313.8229106 |
| 0.0036 | 316.7862864 | 0.00270 | 316.7862864 |
| 0.0037 | 319.5511355 | 0.00280 | 319.5511355 |
| 0.0038 | 322.1288703 | 0.00290 | 322.1288703 |
| 0.0039 | 324.5309032 | 0.00300 | 324.5309032 |
| 0.004 | 326.7686465 | 0.00310 | 326.7686465 |
| 0.0041 | 328.8535126 | 0.00320 | 328.8535126 |
| 0.0042 | 330.796914 | 0.00330 | 330.796914 |
| 0.0043 | 332.6102629 | 0.00340 | 332.6102629 |
| 0.0044 | 334.3049719 | 0.00350 | 334.3049719 |
| 0.0045 | 335.8924531 | 0.00360 | 335.8924531 |
| 0.0046 | 337.3841191 | 0.00370 | 337.3841191 |
| 0.0047 | 338.7913823 | 0.00380 | 338.7913823 |
| 0.0048 | 340.1256549 | 0.00390 | 340.1256549 |
| 0.0049 | 341.3983494 | 0.00400 | 341.3983494 |
| 0.005 | 342.6208782 | 0.00410 | 342.6208782 |
| 0.0051 | 343.8046536 | 0.00420 | 343.8046536 |
| 0.0052 | 344.9610881 | 0.00430 | 344.9610881 |
| 0.0053 | 346.1015939 | 0.00440 | 346.1015939 |
| 0.0054 | 347.2375836 | 0.00450 | 347.2375836 |
| 0.0055 | 348.3804694 | 0.00460 | 348.3804694 |
| 0.0056 | 349.5416637 | 0.00470 | 349.5416637 |
| 0.0057 | 350.732579 | 0.00480 | 350.732579 |
| 0.0058 | 351.9646277 | 0.00490 | 351.9646277 |
| 0.0059 | 353.249222 | 0.00500 | 353.249222 |
| 0.006 | 354.5977744 | 0.00510 | 354.5977744 |
| 0.0061 | 356.0216972 | 0.00520 | 356.0216972 |
| 0.0062 | 357.5324029 | 0.00530 | 357.5324029 |
| 0.0063 | 359.1413039 | 0.00540 | 359.1413039 |
| 0.0064 | 360.8598124 | 0.00550 | 360.8598124 |
| 0.0065 | 362.6993409 | 0.00560 | 362.6993409 |
| 0.0066 | 364.6713018 | 0.00570 | 364.6713018 |
| 0.0067 | 366.7871074 | 0.00580 | 366.7871074 |
| 0.0068 | 369.0581702 | 0.00590 | 369.0581702 |
| 0.0069 | 371.4959025 | 0.00600 | 371.4959025 |
| 0.007 | 374.1117166 | 0.00610 | 374.1117166 |
Yield is calculated at 0.02% offset for strain.
| Effective plastic strain at Yield | Yield Stress | Plastic strain |
| Strain Rate 1 | 210.304 MPa | 0.0015 |
| Effective plastic strain at Failure | Ultimate Stress | Plastic strain |
| Strain Rate 1 | 374.111 MPa | 0.00610 |
DATA IMPORT TO LS DYNA
For strain rate 1:
A curve is imported in LS DYNA using Define>>Curve>>X-Y data import
This curve defines the non linear region in LS DYNA as plastic region.
Linear part of curve is defined using the Young's Modulus.
E = 144000 MPa
v = 0.29
`rho` = 7.1 `times` `10^-6` Kg/`mm^3`
SIGY = 210.304 MPa
FAIL = 0.00601
Table 5: X-Y(Effective plastic Strain- effective stress) data to LS DYNA
| Effective plastic strain | Effective stress (MPa) |
| 0.00010 | 141.8361233 |
| 0.00020 | 153.4716905 |
| 0.00030 | 164.6234215 |
| 0.00040 | 175.3027286 |
| 0.00050 | 185.5210243 |
| 0.00060 | 195.2897208 |
| 0.00070 | 204.6202307 |
| 0.00080 | 213.5239662 |
| 0.00090 | 222.0123398 |
| 0.00100 | 230.0967638 |
| 0.00110 | 237.7886506 |
| 0.00120 | 245.0994126 |
| 0.00130 | 252.0404622 |
| 0.00140 | 258.6232118 |
| 0.00150 | 264.8590737 |
| 0.00160 | 270.7594604 |
| 0.00170 | 276.3357841 |
| 0.00180 | 281.5994574 |
| 0.00190 | 286.5618925 |
| 0.00200 | 291.2345018 |
| 0.00210 | 295.6286978 |
| 0.00220 | 299.7558928 |
| 0.00230 | 303.6274992 |
| 0.00240 | 307.2549294 |
| 0.00250 | 310.6495958 |
| 0.00260 | 313.8229106 |
| 0.00270 | 316.7862864 |
| 0.00280 | 319.5511355 |
| 0.00290 | 322.1288703 |
| 0.00300 | 324.5309032 |
| 0.00310 | 326.7686465 |
| 0.00320 | 328.8535126 |
| 0.00330 | 330.796914 |
| 0.00340 | 332.6102629 |
| 0.00350 | 334.3049719 |
| 0.00360 | 335.8924531 |
| 0.00370 | 337.3841191 |
| 0.00380 | 338.7913823 |
| 0.00390 | 340.1256549 |
| 0.00400 | 341.3983494 |
| 0.00410 | 342.6208782 |
| 0.00420 | 343.8046536 |
| 0.00430 | 344.9610881 |
| 0.00440 | 346.1015939 |
| 0.00450 | 347.2375836 |
| 0.00460 | 348.3804694 |
| 0.00470 | 349.5416637 |
| 0.00480 | 350.732579 |
| 0.00490 | 351.9646277 |
| 0.00500 | 353.249222 |
| 0.00510 | 354.5977744 |
| 0.00520 | 356.0216972 |
| 0.00530 | 357.5324029 |
| 0.00540 | 359.1413039 |
| 0.00550 | 360.8598124 |
| 0.00560 | 362.6993409 |
| 0.00570 | 364.6713018 |
| 0.00580 | 366.7871074 |
| 0.00590 | 369.0581702 |
| 0.00600 | 371.4959025 |
| 0.00610 | 374.1117166 |
Linearity terminates at 0.1% strain rate i.e E is to be calculated at strain = 0.001
Effective stress vs Effective plastic strain from LS Dyna data
Table 6: X-Y(Effective plastic Strain- effective stress) data from LS DYNA
| Simulation | |
| Effective Plastic strain | Effective stress (MPa) |
| 0.00000 | 0.00 |
| 0.00000 | 20.58 |
| 0.00000 | 41.14 |
| 0.00000 | 61.71 |
| 0.00000 | 82.27 |
| 0.00000 | 102.81 |
| 0.00000 | 122.99 |
| 0.00006 | 137.08 |
| 0.00014 | 146.84 |
| 0.00022 | 156.03 |
| 0.00030 | 165.00 |
| 0.00039 | 173.78 |
| 0.00047 | 182.39 |
| 0.00055 | 190.82 |
| 0.00064 | 199.07 |
| 0.00073 | 207.13 |
| 0.00082 | 215.00 |
| 0.00091 | 222.65 |
| 0.00100 | 230.10 |
| 0.00109 | 237.34 |
| 0.00119 | 244.36 |
| 0.00129 | 251.17 |
| 0.00139 | 257.76 |
| 0.00149 | 264.12 |
| 0.00159 | 270.24 |
| 0.00170 | 276.13 |
| 0.00180 | 281.79 |
| 0.00191 | 287.20 |
| 0.00203 | 292.37 |
| 0.00214 | 297.28 |
| 0.00226 | 301.94 |
| 0.00238 | 306.36 |
| 0.00250 | 310.53 |
| 0.00262 | 314.45 |
| 0.00275 | 318.13 |
| 0.00288 | 321.56 |
| 0.00301 | 324.77 |
| 0.00315 | 327.75 |
| 0.00329 | 330.50 |
| 0.00343 | 333.06 |
| 0.00357 | 335.43 |
| 0.00372 | 337.63 |
| 0.00387 | 339.69 |
| 0.00402 | 341.61 |
| 0.00417 | 343.45 |
| 0.00432 | 345.21 |
| 0.00447 | 346.95 |
| 0.00462 | 348.67 |
| 0.00477 | 350.40 |
| 0.00492 | 352.18 |
| 0.00506 | 354.02 |
| 0.00519 | 355.93 |
| 0.00529 | 170.61 |
| 0.00533 | 2.20 |
| 0.00533 | 2.13 |
| 0.00533 | 2.12 |
| 0.00533 | 2.11 |
| 0.00533 | 2.09 |
| 0.00533 | 2.07 |
| 0.00533 | 2.06 |
| 0.00533 | 2.08 |
| 0.00533 | 2.08 |
| 0.00533 | 2.08 |
| 0.00533 | 2.07 |
| 0.00533 | 2.07 |
| 0.00533 | 2.07 |
| 0.00533 | 2.08 |
| 0.00533 | 2.08 |
| 0.00533 | 2.07 |
| 0.00533 | 2.07 |
| 0.00533 | 2.07 |
| 0.00533 | 2.07 |
| 0.00533 | 2.08 |
| 0.00533 | 2.08 |
| 0.00533 | 2.07 |
| 0.00533 | 2.07 |
| 0.00533 | 2.07 |
| 0.00533 | 2.07 |
| 0.00533 | 2.07 |
| 0.00533 | 2.08 |
| 0.00533 | 2.07 |
| 0.00533 | 2.07 |
| 0.00533 | 2.07 |
| 0.00533 | 2.07 |
| 0.00533 | 2.07 |
| 0.00533 | 2.07 |
| 0.00533 | 2.07 |
| 0.00533 | 2.07 |
| 0.00533 | 2.07 |
| 0.00533 | 2.07 |
| 0.00533 | 2.07 |
| 0.00533 | 2.07 |
| 0.00533 | 2.07 |
| 0.00533 | 2.07 |
| 0.00533 | 2.07 |
| 0.00533 | 2.07 |
| 0.00533 | 2.07 |
| 0.00533 | 2.08 |
| 0.00533 | 2.07 |
| 0.00533 | 2.07 |

Graph 3: Visual verification of Test data and simulation data for Effective stress Vs Effective plastic strain
Calculations:
Youngs Modulus, E = 144000 MPa
Effective stress at linearity = 144000 `times` 0.001 = 144 MPa
Value closest to above stress from LS DYNA = 146.840 at strain = 0.00014
True strain = 0.001 + 0.00014 = 0.00114
So Youngs Modulus = 146.840/0.00114
E = 128807.89 MPa
Ultimate stress, U = 355.93 MPa
Ultimate plastic strain = 0.00519
| Youngs Modulus | Ultimate stress | Ultimate plastic strain |
| 128807.89 MPa | 355.93 MPa | 0.00519 |
COMPARISON OF TEST DATA AND SIMULATED DATA.

Graph 4: Visual verification of Test data and simulation data for Effective stress Vs True strain
| Test Data | Simulated data | |
| Youngs Modulus (MPa) | 144802 | 128807.89 |
| Yield Stress (MPa) | 210.304 (0.02% strain) | 225 (0.02% strain) |
| Ultimate Stress (MPa) | 374.111 | 355.93 |
| Ultimate Plastic strain | 0.00610 | 0.00519 |
Table 7: Verification for Youngs Modulus, Yield stress, Ultimate stress and Ultimate plastic strain.
LS DYNA Keywords:
*Control_Termination
T = 100ms
*Control_Hourglass
IHQ = 2
QH = 0.1
*Control_Energy
HGEN = 2
*Section_Shell
ELFORM = 2
Thickness = 1.5mm
*Mat_Piecewise_linear_plasticity_MAT_024
E = 144802 MPa
SIGY = 210.304 MPa
FAIL = 0.00610
v = 0.29
`rho` = 7.1 `times` `10^-6` Kg/`mm^3`
LCSS = 1
Curve is defined above in Table5.
Displacement loading is defined as per below.
| Time (ms) | Displacement (mm) |
| 0 | 0 |
| 100 | 1 |
| 101 | 1 |