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12/20/2013

Experimental Testing Of An
Off-road Tire In Soft Soil
Corina Sandu, Scott Naranjo,, Saied Taheri, Virginia
Tech
U.S. Army Quad Member: Dr. Paramsothy Jayakumar, TARDEC

Industry Quad Members: Dr. Brant Ross, MotionPort, Mr. Daniel
Christ, Michelin Americas Research Co

1
12/20/2013

Tires on Soft Soil Study
Design of
experiment

Methodology
Tire
structure

Terramechanics
rig

Experiment

Modeling
Tire-soil
interaction

Simulations

Instrumentation

Results

2

2
12/20/2013

Terramechanics Rig
Single wheel test rig for tire
performance on various terrain
• Wheel slip controlled via two
separate drive motors
• Measures forces and moments via
wheel hub Kistler P 650 sensor
• Various terrain possibilities
Fluid regulation via flow
• Can control response of
system with air pressure
• Response time within 2.8 ms
• PI controller in LaVIEW
provides controls
3

3
12/20/2013

Toe and Camber Adjustment

Linkages of different lengths adjust camber and toe
• Camber -8 to +80 in steps of 20
• Toe -25 to +250 in steps of 50
Designed for accuracy and robustness

4
12/20/2013

Additional Measurement Sensors
Fitted ultrasonic sensor to measure relative soil height

Steel Plate
Reference

az

45o

a
x
25o

WITS - eight equidistant sensors used to estimate proper speed
to maintain a slip ratio value and to estimate max sinkage

5
12/20/2013

Methods of Soil Measurement
Cone Penetrometer Tests
6.5
kPa/mm

4.4
kPa/mm

Geotechnical lab tests by Schnabel Engineering
• California Bearing Ratio
• Standard Proctor Test
• Triaxial shear strength test

6
12/20/2013

Silty Sand Preparation
• Versatile soil with a long range of low to high cohesiveness
• 5 stage soil preparation procedure per test run
• Insure soil consistency with Cone Penetrometer CP40 II
and taking samples for moisture content measurement
• Geotechnical lab data for soil

7

7
12/20/2013

Determination of Max Sinkage
ST

hinitial

M1
M2

P

h

W

undisturbed
soil surface max sinkage

Rdeformed

Rut

(Δz)

Δz=(h+Rdeformed )-hinital
8

8
12/20/2013

Design of Experiment
• Tire normal load and inflation pressure were chosen to
correlate with full-scale vehicle testing in South Africa
• Soil compaction resistance obtained through the repeatable
soil preparation procedure developed
• Test tire - LT235/85R-16 Michelin LTX A/T 2 E
Parameter

No. of
Levels

Range
L1

L2

0 – 5 – 10 – 15 –
20 – 40 – 60 - 75 (or 90)

No. Slip

Load

Inflation Soil
Press. Comp.

1

All

L1

L1

L1

2

All

L2

L1

L1

3

All

L1

L2

L1

20 PSI
(1.38 bar)

4

All

L1

L1

L2

5

All

L2

L1

L2

6.5 ± 0.9
9kPa/mm

6

All

L2

L2

L1

7

All

L2

L2

L2

Slip %

8

Normal
load

2

5000 N

6000 N

Inflation
Pressure

2

29 PSI
(2 bar)

Compaction
Resistance

2

4.4 ± 0.4
kPa/mm

9
12/20/2013

Soil Deformation in
Full Range of Slip
0%

20 %
40 %

5%
60 %
10 %

90 %

15 %

10
12/20/2013

Individual Parameter Change

Parameter

Level
1

Level
2

Normal load (kN)

5

6

Inflation Pressure
(psi)

29

20

Cone Index
Gradient
(kPa/mm)

4.4

6.5

Lower inflation
pressure,
highest
drawbar pull

11
12/20/2013

Several Parameter Changes

Variation result of irregular
soil compaction

12
12/20/2013

Tire Sinkage Results
Lower inflation pressure
-> larger sinkage but
greater drawbar pull

Higher load -> greater
contact patch -> least
sinkage

13
12/20/2013

Main Effects and Interaction on
Drawbar Pull
High Slip DP coefficient

Peak DP coefficient

•

•

Inflation pressure has main
effect on peak drawbar pull
coefficient
Interaction of soil compaction is
evident with normal load and
inflation pressure

14
12/20/2013

Parameter Main Effects and
Interaction on Sinkage
Normal load has the
greatest effect on sinkage

Larger slope indicates a
greater degree of
interaction

15
12/20/2013

Conclusions
 Tire instrumented with wireless real-time deflection system
 Normal load controller hardware installed, and required
software developed
 Field scanners installed (used with other sensors for
sinkage measurements)
 Various tests from design of experiment performed
 Drawbar pull and sinkage data obtained for a large range of
slip ratio values
 Interactions of various parameters on the drawbar pull and
sinkage were obtained
 Data used to validate tire model developed at AVDL
concurrently with the experimental work
16

16

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Experimental Testing of an Off-road Tire in Soft Soil Paper81437

  • 1. 12/20/2013 Experimental Testing Of An Off-road Tire In Soft Soil Corina Sandu, Scott Naranjo,, Saied Taheri, Virginia Tech U.S. Army Quad Member: Dr. Paramsothy Jayakumar, TARDEC Industry Quad Members: Dr. Brant Ross, MotionPort, Mr. Daniel Christ, Michelin Americas Research Co 1
  • 2. 12/20/2013 Tires on Soft Soil Study Design of experiment Methodology Tire structure Terramechanics rig Experiment Modeling Tire-soil interaction Simulations Instrumentation Results 2 2
  • 3. 12/20/2013 Terramechanics Rig Single wheel test rig for tire performance on various terrain • Wheel slip controlled via two separate drive motors • Measures forces and moments via wheel hub Kistler P 650 sensor • Various terrain possibilities Fluid regulation via flow • Can control response of system with air pressure • Response time within 2.8 ms • PI controller in LaVIEW provides controls 3 3
  • 4. 12/20/2013 Toe and Camber Adjustment Linkages of different lengths adjust camber and toe • Camber -8 to +80 in steps of 20 • Toe -25 to +250 in steps of 50 Designed for accuracy and robustness 4
  • 5. 12/20/2013 Additional Measurement Sensors Fitted ultrasonic sensor to measure relative soil height Steel Plate Reference az 45o a x 25o WITS - eight equidistant sensors used to estimate proper speed to maintain a slip ratio value and to estimate max sinkage 5
  • 6. 12/20/2013 Methods of Soil Measurement Cone Penetrometer Tests 6.5 kPa/mm 4.4 kPa/mm Geotechnical lab tests by Schnabel Engineering • California Bearing Ratio • Standard Proctor Test • Triaxial shear strength test 6
  • 7. 12/20/2013 Silty Sand Preparation • Versatile soil with a long range of low to high cohesiveness • 5 stage soil preparation procedure per test run • Insure soil consistency with Cone Penetrometer CP40 II and taking samples for moisture content measurement • Geotechnical lab data for soil 7 7
  • 8. 12/20/2013 Determination of Max Sinkage ST hinitial M1 M2 P h W undisturbed soil surface max sinkage Rdeformed Rut (Δz) Δz=(h+Rdeformed )-hinital 8 8
  • 9. 12/20/2013 Design of Experiment • Tire normal load and inflation pressure were chosen to correlate with full-scale vehicle testing in South Africa • Soil compaction resistance obtained through the repeatable soil preparation procedure developed • Test tire - LT235/85R-16 Michelin LTX A/T 2 E Parameter No. of Levels Range L1 L2 0 – 5 – 10 – 15 – 20 – 40 – 60 - 75 (or 90) No. Slip Load Inflation Soil Press. Comp. 1 All L1 L1 L1 2 All L2 L1 L1 3 All L1 L2 L1 20 PSI (1.38 bar) 4 All L1 L1 L2 5 All L2 L1 L2 6.5 ± 0.9 9kPa/mm 6 All L2 L2 L1 7 All L2 L2 L2 Slip % 8 Normal load 2 5000 N 6000 N Inflation Pressure 2 29 PSI (2 bar) Compaction Resistance 2 4.4 ± 0.4 kPa/mm 9
  • 10. 12/20/2013 Soil Deformation in Full Range of Slip 0% 20 % 40 % 5% 60 % 10 % 90 % 15 % 10
  • 11. 12/20/2013 Individual Parameter Change Parameter Level 1 Level 2 Normal load (kN) 5 6 Inflation Pressure (psi) 29 20 Cone Index Gradient (kPa/mm) 4.4 6.5 Lower inflation pressure, highest drawbar pull 11
  • 12. 12/20/2013 Several Parameter Changes Variation result of irregular soil compaction 12
  • 13. 12/20/2013 Tire Sinkage Results Lower inflation pressure -> larger sinkage but greater drawbar pull Higher load -> greater contact patch -> least sinkage 13
  • 14. 12/20/2013 Main Effects and Interaction on Drawbar Pull High Slip DP coefficient Peak DP coefficient • • Inflation pressure has main effect on peak drawbar pull coefficient Interaction of soil compaction is evident with normal load and inflation pressure 14
  • 15. 12/20/2013 Parameter Main Effects and Interaction on Sinkage Normal load has the greatest effect on sinkage Larger slope indicates a greater degree of interaction 15
  • 16. 12/20/2013 Conclusions  Tire instrumented with wireless real-time deflection system  Normal load controller hardware installed, and required software developed  Field scanners installed (used with other sensors for sinkage measurements)  Various tests from design of experiment performed  Drawbar pull and sinkage data obtained for a large range of slip ratio values  Interactions of various parameters on the drawbar pull and sinkage were obtained  Data used to validate tire model developed at AVDL concurrently with the experimental work 16 16