Resilient Modulus Prediction Model for Fine-Grained Soils in Ohio: Preliminary Study

Similar documents
EVALUATION OF LIQUEFACTION RESISTANCE AND LIQUEFACTION INDUCED SETTLEMENT FOR RECLAIMED SOIL

A simple model for the small-strain behaviour of soils

Estimation of Resilient Modulus of Unbound Granular Materials from Senegal (West Africa)

'HVLJQ &RQVLGHUDWLRQ LQ 0DWHULDO 6HOHFWLRQ 'HVLJQ 6HQVLWLYLW\,1752'8&7,21

OF CHS. associated. indicate. the need. Rio de Janeiro, Brazil. a) Footbridge Rio. d) Maria Lenk. CHS K joints

NonPAS: A Program for Nonlinear Analysis of Flexible Pavements

Computing Exact Confidence Coefficients of Simultaneous Confidence Intervals for Multinomial Proportions and their Functions

3-D FEM Modeling of fiber/matrix interface debonding in UD composites including surface effects

Open Access Test Analysis on the Dynamic Performance of Frozen Silty Clay

SUITABILITY OF USING CALIFORNIA BEARING RATIO TEST TO PREDICT RESILIENT MODULUS

DISCRETE MODELING OF STRAIN ACCUMULATION IN GRANULAR SOILS UNDER CYCLIC LOADING

Time-of-Arrival Estimation in Non-Line-Of-Sight Environments

Ductility and Failure Modes of Single Reinforced Concrete Columns. Hiromichi Yoshikawa 1 and Toshiaki Miyagi 2

Backcalculation of Airport Flexible Pavement Non-Linear Moduli Using Artificial Neural Networks

SYNCHRONOUS SEQUENTIAL CIRCUITS

Thermal conductivity of graded composites: Numerical simulations and an effective medium approximation

International Conference on Advances in Energy, Environment and Chemical Engineering (AEECE-2015)

Neural Networks Analysis of Airfield Pavement Heavy Weight Deflectometer Data

A PROCEDURE FOR DETERMINATION OF THE ALTERNAT MODEL PARAMETERS

LATTICE-BASED D-OPTIMUM DESIGN FOR FOURIER REGRESSION

A note on the Mooney-Rivlin material model

An Anisotropic Hardening Model for Springback Prediction

Module 5 Couplings. Version 2 ME, IIT Kharagpur

The influence of the equivalent hydraulic diameter on the pressure drop prediction of annular test section

ELECTRON DIFFRACTION

Recommendations: Part 7: Transient Creep for service and accident conditions

Load Testing of Temporary Structural Platforms

inflow outflow Part I. Regular tasks for MAE598/494 Task 1

SEDIMENT SCOUR AT PIERS WITH COMPLEX GEOMETRIES

Survey Sampling. 1 Design-based Inference. Kosuke Imai Department of Politics, Princeton University. February 19, 2013

A Modification of the Jarque-Bera Test. for Normality

Placement and tuning of resonance dampers on footbridges

Role of parameters in the stochastic dynamics of a stick-slip oscillator

Strength Analysis of CFRP Composite Material Considering Multiple Fracture Modes

Situation awareness of power system based on static voltage security region

Table of Common Derivatives By David Abraham

The Role of Models in Model-Assisted and Model- Dependent Estimation for Domains and Small Areas

This module is part of the. Memobust Handbook. on Methodology of Modern Business Statistics

Evaluation of Liquefaction Potential by CPTU and SDMT

ADIT DEBRIS PROJECTION DUE TO AN EXPLOSION IN AN UNDERGROUND AMMUNITION STORAGE MAGAZINE

The Phenomenon of Anomalous Rock Embrittlement

(NaCl) x (KCl) y-x (KBr) 1-y single crystals: study of the ac conductivity activation energy.

Designing of Acceptance Double Sampling Plan for Life Test Based on Percentiles of Exponentiated Rayleigh Distribution

Shear stiffness of granular material at small strains: does it depend on grain size?

Chapter 4. Electrostatics of Macroscopic Media

Light-Soaking Effects on the Open-Circuit Voltage of a-si:h Solar Cells

Experimental Studies and Parametric Modeling of Ionic Flyers

Experimental Robustness Study of a Second-Order Sliding Mode Controller

Distribution Restriction Statement Approved for public release; distribution is unlimited.

Modelling dowel action of discrete reinforcing bars in cracked concrete structures

Optimum design of tuned mass damper systems for seismic structures

Integrated Data Reconciliation with Generic Model Control for the Steel Pickling Process

PD Controller for Car-Following Models Based on Real Data

Make graph of g by adding c to the y-values. on the graph of f by c. multiplying the y-values. even-degree polynomial. graph goes up on both sides

Search for Long-Lived Particles and Lepton-Jets with the ATLAS detector

Logarithmic spurious regressions

THE VAN KAMPEN EXPANSION FOR LINKED DUFFING LINEAR OSCILLATORS EXCITED BY COLORED NOISE

A Comparison of Two and Four Microphone Standing Wave Tube Procedures for Estimating the Normal Incidence Absorption Coefficient

Both the ASME B and the draft VDI/VDE 2617 have strengths and

Experiment 2, Physics 2BL

Application of the homotopy perturbation method to a magneto-elastico-viscous fluid along a semi-infinite plate

Modeling the effects of polydispersity on the viscosity of noncolloidal hard sphere suspensions. Paul M. Mwasame, Norman J. Wagner, Antony N.

Perfect Matchings in Õ(n1.5 ) Time in Regular Bipartite Graphs

The derivative of a function f(x) is another function, defined in terms of a limiting expression: f(x + δx) f(x)

Robustness and Perturbations of Minimal Bases

State estimation for predictive maintenance using Kalman filter

Sparse Reconstruction of Systems of Ordinary Differential Equations

Nonlinear Adaptive Ship Course Tracking Control Based on Backstepping and Nussbaum Gain

Least-Squares Regression on Sparse Spaces

CONTROL CHARTS FOR VARIABLES

A SIMPLE SCALING CHARATERISTICS OF RAINFALL IN TIME AND SPACE TO DERIVE INTENSITY DURATION FREQUENCY RELATIONSHIPS

Please, note that changes made to the HTML content will be added to the article before publication, but are not reflected in this PDF.

Suharjoko 1 *, Srie Subekti 1 and Edy Sumirman 1

Project 3 Convection

EXPONENTIAL FOURIER INTEGRAL TRANSFORM METHOD FOR STRESS ANALYSIS OF BOUNDARY LOAD ON SOIL

GeoShanghai 2010 International Conference Paving Materials and Pavement Analysis

Linear First-Order Equations

An Approach for Design of Multi-element USBL Systems

Improved Geoid Model for Syria Using the Local Gravimetric and GPS Measurements 1

Shape Effect on Blind Frequency for Depth Inversion in Pulsed Thermography

American Society of Agricultural Engineers PAPER NO PRAIRIE RAINFALL,CHARACTERISTICS

INTRODUCTION & PHASE SYSTEM

MATH , 06 Differential Equations Section 03: MWF 1:00pm-1:50pm McLaury 306 Section 06: MWF 3:00pm-3:50pm EEP 208

Analytic Scaling Formulas for Crossed Laser Acceleration in Vacuum

The maximum sustainable yield of Allee dynamic system

Behavior and strength of welded stud shear connectors in composite beam. Comportamiento y resistencia de conectores tipo perno en vigas compuestas

MULTISCALE FRICTION MODELING FOR SHEET METAL FORMING

Differentiability, Computing Derivatives, Trig Review. Goals:

Experimental Investigation on the Dynamic Shear Modulus and Damping Ratio of Aeolian Soils

Application of DCP in Prediction of Resilient Modulus of Subgrade Soils

Efficient Macro-Micro Scale Coupled Modeling of Batteries

Schrödinger s equation.

PARALLEL-PLATE CAPACITATOR

19 Eigenvalues, Eigenvectors, Ordinary Differential Equations, and Control

Characterizing Climate-Change Impacts on the 1.5-yr Flood Flow in Selected Basins across the United States: A Probabilistic Approach

Calculus and optimization

ERROR-detecting codes and error-correcting codes work

Parameter estimation: A new approach to weighting a priori information

Developing a Method for Increasing Accuracy and Precision in Measurement System Analysis: A Fuzzy Approach

Damage identification based on incomplete modal data and constrained nonlinear multivariable function

Transcription:

Resilient Moulus Preiction Moel for Fine-Graine Soils in Ohio: Preliminary Stuy by Teruhisa Masaa: Associate Professor, Civil Engineering Department Ohio University, Athens, OH 4570 Tel: (740) 59-474 Fax: (740) 59-065 E-Mail: masaa@bobcat.ent.ohiou.eu Sha M. Sargan: Yun Liao: Russ Professor, Civil Engineering Department Ohio University, Athens, OH 4570 Tel: (740) 59-465 Fax: (740) 59-065 E-Mail: ssargan@bobcat.ent.ohiou.eu Grauate Research Assistant, Civil Engineering Department Ohio University, Athens, OH 4570 Tel: (740) 59-465 Fax: (740) 59-065 E-Mail: YL8804@ohio.eu Wor Count Total 5,067 (Abstract 65; Text,90; Tables,500; an Figures,500) Date of Submission: April 7, 006

ABSTRACT Resilient moulus of subgrae soil is one of the key material properties that are require for the mechanistic-empirical esign/analysis of multi-layere flexible pavement system. A stuy was initiate at Ohio University to examine the resilient moulus of fine-graine subgrae soils commonly foun in Ohio. The current stanar metho was first examine to unerstan the stress conitions the test proceure inuces on the soil specimen. Then, five stress moels were briefly escribe an evaluate in light of recent laboratory test results on A-4 soil samples recovere from a highway project site in the northeastern Ohio. The outcome of the initial stuy inicate the hyperbolic moel may be the most promising moel. Preliminary correlations were establishe between the hyperbolic moel constants an the test specimens basic properties. Aitional test results will be neee to evelop a resilient moulus preiction moel for the A-4 Ohio soils at higher statistical confience levels. Also, the moeling efforts shoul exten to aress the other subgrae soil types commonly foun in Ohio.

INTRODUCTION Resilient moulus of subgrae soil is one of the key material properties that are require for the mechanistic-empirical (M-E) esign/analysis of multi-layere flexible pavement system. At the highest level (Level ), the resilient moulus of the subgrae soil must be measure in the laboratory, using the representative soil samples recovere from the project site. The current stanar laboratory practice is to perform the resilient moulus test accoring to the proceures escribe in the AASHTO T-94 or SHRP P-46 test protocol. The test set-up use in the resilient moulus (RM) test is basically the same as that for the conventional triaxial compression (CTC) test. A cylinrical soil specimen, encase in a flexible membrane, is subjecte to an axial loaing applie by a piston, while the all-aroun chamber pressure acts on it. The only ifference between the CTC an RM tests is that the axial loa is applie as a series of -Hz pulse loa uring RM test while it is increase monotonically uring the CTC test. In the RM test, miniature LVDT s mounte near the test specimen measure the average recoverable axial strain. The resilient moulus (M R ) is calculate from the test measurements by: M R = σ /ε r () where σ = eviatoric stress; an ε r = recoverable axial strain. Most fine-graine soils exhibit a concave-upwar bilinear response curve, when their RM test ata are plotte in terms of M R versus σ. Breakpoint resilient moulus (M Ri ) is the resilient moulus locate at the point where two linear curves meet. Principal stresses involve in these test methos are: σ = σ + σ c ; an σ = σ = σ c ( & ) where σ = major principal stress; σ = eviatoric stress (= axial stress applie by the piston); σ c = chamber pressure (or confining stress); an σ or σ = minor principal stress. The stress path followe uring these tests can be represente by the parameters p an q: p = ( σ + σ ) ; an = ( σ σ ) q (4& 5) Octaheral shear stress (τ ) an normal stress (σ ) are efine as: τ = ( σ σ ) + ( σ σ ) + ( σ σ ) ; an σ = ( σ + σ + σ ) Applications of Equations an to Equations 4 through 7 result in: (6 & 7) σ = p + σ = q + σ ; an σ q = (4 & 5 )

τ = ( σ ) + ( σ ) = σ ; an σ ( σ + σ ) = c (6 & 7 ) Table lists the four stress parameter (p, q, τ, σ ) values calculate for the loa sequences the soil specimen goes through uring the stanar RM test for fine-graine soil specimens. The chamber pressure is zero uring Loa Sequence Nos. through 5. So, uring these loa sequences, test results reflect the effect of the eviatoric stress only. TABLE σ c (psi) Loa Sequence Applie During RM Test σ No. of p (psi) Cycles (psi) Seq. No. q (psi) τ σ (psi) (psi) 6.0 * 0 4.0 Up to 500 8.0.0.89 7..0 00 7.0.0 0.94 6.67 6.0.0 0.0 4.0 00 8.0.0.89 7. 6.0 00 9.0.0.8 8.00 4 8.0 00 0.0 4.0.77 8.67 5 0.0 00.0 5.0 4.7 9. 6.0 00 4.0.0 0.94.67 7 4.0 00 5.0.0.89 4. 8 6.0 00 6.0.0.8 5.00 9 8.0 00 7.0 4.0.77 5.67 0 0.0 00 8.0 5.0 4.7 6..0 00.0.0 0.94 0.67 4.0 00.0.0.89. 6.0 00.0.0.8.00 4 8.0 00 4.0 4.0.77.67 5 0.0 00 5.0 5.0 4.7. [Note] * Initial conitioning loa cycles. Figure shows the p-q iagram for the RM test. During the five loa sequences uner each chamber pressure level, both p an q values are increase by 4 psi. The stress path makes a 45 angle with the p-axis to make sure that the stress state oes not approach the yiel surface. Figure shows the changes in the aheral stresses uring the RM test. The aheral shear stress (τ ) goes through the same cycle three times, with its value changing between 0.94 an 4.7 psi. The Octaheral normal stress (σ ) goes through a graual stepwise ecline. The ratio between the Octaheral stresses (σ /τ ) remains a constant (at about 0.7) uring Loa Sequence Nos. through 5, because the chamber pressure is zero. LABORATORY TEST PROGRAM In the current stuy, a laboratory test program was initiate to try to measure accoring to the SHRP P-46 test protocol the resilient moulus (M R ) of six subgrae soil samples taken from a project site on Rt. 0 in Wayne County (near Akron), Ohio. Table summarizes the basic properties of these soil samples. Tables an 4 present the test ata. Each soil sample was rie, pulverize, an then recompacte insie a split mol, using the static compaction metho, to prouce the test specimen. 4

q (psi) 6 5 4 0 0 5 0 5 p (psi) FIGURE p-q Diagram (Stress Path) of RM Test Octaheral Stress (psi) 8 4 Normal Shear 0 0 5 0 5 Loa Sequence No. FIGURE Octaheral Stress Changes During RM Test TABLE Basic Properties of Subgrae Soil Samples Property Sample Sample Sample Sample 4 Sample 5 Sample 6 Location West Boun Sta. 885+00 East Boun Sta. 876+60 West Boun Sta. 876+60 East Boun Sta. 884+00 East Boun Sta. 884+00 East Boun Sta. 66+50 S00 (%) 46.9 8. 9. 4.7 48.9 4.0 LL (%) 6.9 6.7 5.9 6.0 4.4. PI (%) 9.9 9.4 8. 7. 8.0 6. OMC (%)..8 4.4 4.5..8 γ -max (pcf) 7.5 8.0 7.5 6.0 7.5.0 Type A-4 A-4 A-4 A-4 A-4 A-4 5

TABLE RM Test Results for Sample Nos. an Sample Sample (Test A) Sample (Test B) w =.%; γ = 5.0 pcf w =.%; γ = 5.4 pcf w =.%; γ = 6.7 pcf σ c (psi) σ (psi) ε r (%) M R (ksi) σ (psi) ε r (%) M R (ksi) σ (psi) ε r (%) M R (ksi) 0.60 0.07.5.50 0.00 5.4.60 0.0 7.44 6.0.0 0.0.54 0.07.50 6.8 0.064 0.0 5.8 0.05 5.04 4.6 0.4.7 9. 0.0 9.8 8.5 0.64 5.8 6.69 0.78.76 6.7 0. 7.94. 0. 5. 8.5 0.5.79 5.09 0.88 8.0 4.6 0.86 4.99 0. 0.004 8.9. 0.07.78.6 0.06 6..40 0.060 4.00 5.8 0.068 8.5 5.06 0.09 4.66 4.4 0.08.84 9.06 0. 8. 8.5 0.7 4.77 5.86 0.56.75.00 0.5 7.9 0.96 0.6 4.85 7.59 0.99.8 5.04 0.9 7.78.95 0.9 4.77 0.6 0.00 7.77.95 0.09 0.06.56 0.06 6..0 0.05.99 5.75 0.078 7.59 4.86 0.07 4.55.86 0.0.8 8.89 0.0 7.4 7.77 0.7 4.54 5.44 0.44.77.8 0.6 7.6 0.56 0. 4.57 7. 0.89.8 4.89 0.08 7.7.68 0.98 4.59 TABLE 4 RM Test Results for Sample Nos. an 5 Sample (Test A) Sample (Test B) Sample 5 σ c w = 5.%; γ = 9.8 pcf w =.%; γ =.9 pcf w =.5%; γ =.7 pcf (psi) σ (psi) ε r (%) M R (ksi) σ (psi) ε r (%) M R (ksi) σ (psi) ε r (%) M R (ksi).9 0.09 4.80.76 0.08 9.9.70 0.06 6.45 4.0 0.07.74 5.80 0.070 8.7 4.8 0.085 5.06 6.0 6. 0.74.57 8.7 0.6 7. 6.67 0.45 4.59 8.49 0.5.6 0.90 0.69 6.45 9.5 0.84 5.09.08 0.8.49.5 0.4 6..94 0. 5..69 0.0 5.4.78 0.09 7.08.8 0.06 6.96.7 0.04.58 5.48 0.075 7.6 4. 0.079 5.47 4.0 5.88 0.85.8 7.96 0. 6.5 6.69 0.0 5. 8.54 0.65. 0.74 0.7 6.5 9.45 0.84 5.4.7 0..5.60 0. 6.4. 0.4 5..68 0.0 5..56 0.0 8.4.74 0.05 7.0.6 0.06.40 5.5 0.084 6.8 4.9 0.080 5.40.0 5.75 0.9.0 7.66 0.4 5.7 6.64 0.0 5.0 8.8 0.7.09 0.47 0.89 5.54 9.9 0.84 5.0.9 0.4.8.49 0.4 5.57.4 0.5 5.5 Figures through 5 were prouce base on the ata from Sample (Test A). Figure shows fluctuations of the resilient moulus uring the entire loa sequences. The bilinear nature of the relationship between the resilient moulus an eviatoric stress is appearing three times. Figure 4 plots the resilient moulus against the eviatoric stress. The bilinear tren is shown clearly in the plot. Figure 5 examines the relationship between the resilient moulus an the Octaheral stresses. Here, the plot correlates the resilient moulus an the Octaheral stress ratio (σ /τ ) in the logarithmic scale. Despite some scattering, the emerging relationship appears to be nearly linear. 6

Resilient Moulus (ksi) 8 6 4 0 0 5 0 5 Loa Sequence No. FIGURE Fluctuations of M R During RM Test Resilient Moulus (ksi) 8 6 4 0 0 4 6 8 0 Deviatoric Stress (psi) FIGURE 4 Plot of Resilient Moulus vs. Deviatoric Stress 00 Resilient Moulus (ksi) 0 0 Octaheral Stress Ratio (σ/τ) FIGURE 5 Plot of Log (M R ) vs. Log (σ /τ ) 7

MODELING OF RM BEHAVIORS OF FINE-GRAINED SOILS At Level or of the M-E esign proceure, a preiction moel may be use to estimate the resilient moulus of subgrae soil below Level. Thus, it is important that a reliable moel is ientifie. There have been a number of moels propose by other researchers for estimating the resilient moulus of fine-graine soils. The most basic moel use in conjunction with the RM testing of fine-graine soils is a power moel: M R = K(σ ) n where K, n = moel constants (8) However, the power moel cannot represent the bilinear relationship between the resilient moulus an eviatoric stress. The n value of 0 leas to the 0-th orer relationship (M R = K). A small negative value for n leas to a slightly nonlinear concave upwar curve with no apparent break point. A bilinear moel has been evelope by Dingqing an Selig (994) to embrace the concept of the breakpoint resilient moulus: M R = K + K σ for σ < σ i (9.a) = K + K 4 σ for σ > σ i (9.b) where K, K, K, an K 4 = moel constants (K an K always positive; K always negative; K 4 occasionally negative); an σ i = breakpoint eviator stress. A hyperbolic moel was propose by Drumm et al. (99) for estimating the resilient moulus of fine-graine soils foun in Tennessee: M R K + nσ = where K, n = moel constants (0) σ A semi-log moel was propose by Frelun et al. (977), who examine the resilient responses of a glacial till material: Log (M R ) = K n σ where K, n = moel constants () A log-log moel is presente in the SHRP P-46 test protocol as a means to plot the test ata. This moel, given by Eq., is mathematically almost equivalent to the power moel. Log (M R ) = K + n Log (σ ) where K, n = moel constants () With the fining mae in the previous section, an aitional moel (i.e., Octaheral moel) may be worthy of evaluation: Log σ ( M ) = + R K n Log τ where K, n = moel constants () 8

Unlike all of the above moels, the Octaheral moel incorporates the effects of both eviatoric stress an confining stress. When the confining stress is set equal to zero, Eq. cannot express M R as a function of σ. In orer to overcome this problem, Eq. is moifie to: Log ( M ) R σ K + n Log = ( τ ) where K, n = moel constants ( ) EVALUATION OF MODELS Table 5 summarizes the results of the ata analysis performe for each caniate moel, which inclue moel constant values an the coefficient of etermination (r ) value. Comparing the overall average r values, the hyperbolic moel was consiere to be the best moel, followe by the Octaheral stress moel an the bilinear moel. The semi-log moel was the least successful in fitting to the experimental RM test ata. For the bilinear moel, the breakpoint resilient moulus (M Ri ) was etermine to be.78 ksi (Sample ), 8. ksi (Sample A), 4.80 ksi (Sample B),.7 ksi (Sample A), 6.5 ksi (Sample B), an 4.87 ksi (Sample 5). The breakpoint eviatoric stress (σ i ) was.9 psi (Sample ), 6.8 psi (Sample A), 5.00 psi (Sample B), 4.45 psi (Sample A), 8.4 psi (Sample B), an 5.05 psi (Sample 5). The axial strain corresponing to the breakpoint (ε i ) was 0.06% (Sample ), 0.07% (Sample A), 0.0% (Sample B), 0.% (Samples A, B), an 0.0% (Sample 5). TABLE 5 Evaluation of Stress Moels Power Moel Eq. 8 Bilinear Moel Eq. 9 K n r K K (r ) K K 4 (r ) Sample 5.464 0.8 0.840 8.574.00 0.98.775 0.00 0.006 Sample (A) 4.748 0.57 0.748 5.494.59 0.685 8.550 0.054 0.079 Sample (B) 6.686 0.46 0.68 7.458 0.5 0.800 4.786 0.00 0.00 Sample (A) 5. 0. 0.7 6.9 0.664 0.860.054 0.07 0. Sample (B) 0. 0.07 0.56 9.5 0.4 0.77 6.90 0.068 0.09 Sample 5 6.985 0.45 0.685 7.8 0.587 0.909 4.69 0.048 0.49 Average --- --- 0.699 --- --- 0.76 --- --- 0.07 Hyperbolic Moel Eq. 0 Semi-Log Moel - Eq. Octaheral Moel - Eq. K n r K n r K n r Sample 0.675.676 0.998.757 0.00 0.44 0.78 0.746 0.78 Sample (A).46 6.96 0.97 4.067 0.04 0.56 0.484.76 0.95 Sample (B).950 4.64 0.989.780 0.009 0.4 5.476 0.556 0.787 Sample (A).75.075 0.98.66 0.06 0.49.76 0.48 0.79 Sample (B) 8.967 5.56 0.95.9 0.0 0.5 7.69.004 0.745 Sample 5.9 4.94 0.99.800 0.009 0.44 5.460 0.4 0.578 Average --- --- 0.98 --- --- 0.47 --- --- 0.764 9

FURTHER DISCUSSIONS Table 6 lists the basic physical properties an the hyperbolic moel constants for the test specimens. Statistical analysis inicate that the hyperbolic moel constants (K, n) are both correlate strongly to the moisture content with relative to the OMC (= w OMC), as seen in Figure 6, an moerately correlate to the percent fines (S00) an relative compaction (R). A multi-variable linear regression analysis prouce the following outcome for the A-4 soils: K = 9.76 + 5.67(PI) + 0.68(S00).9(w OMC) +.(R) with r.00 n = 4.0 +.0(PI) 0.00(S00).8(w OMC) + 0.9(R) with r.00 M Ri = 75.9 +.0(PI) + 0.09(S00).65(w OMC) + 0.60(R) with r.00 TABLE 6 List of Test Specimen Properties an Hyperbolic Moel Constants Test Specimen Property Data Hyperbolic Moel PI (%) S00 (%) w OMC (%) R (%) K n Sample 9.9 46.9 +.0 98 0.675.676 Sample (A) 9.4 8. 0.7 98.46 6.96 Sample (B) 9.4 8. + 0.4 99.950 4.64 Sample (A) 8. 9. + 0.7 0.75.075 Sample 5 8.0 48.9 0.8 95.9 4.94 Values of K an n 5 0 5 K n 0 - - - 0 w - OMC (%) FIGURE 6 Plot of K an n Values vs. (w OMC) CLOSING REMARKS Resilient moulus of subgrae soil is one of the key material properties that are require for the mechanistic-empirical esign/analysis of multi-layere flexible pavement system. A stuy was initiate at Ohio University to examine the resilient moulus of fine-graine subgrae soils commonly foun in Ohio. The current stanar metho was first examine to unerstan the stress conitions the test metho inuces on the soil specimen. The examination showe the cyclic nature of the stress path an the Octaheral stresses create by the stanar test metho. 0

Analysis of the typical RM test results on a A-4 soil specimen confirme the bilinear relationship between the resilient moulus an the eviatoric stress. This bilinear relationship emerges because the soil specimen is somewhat overconsoliate uring the specimen preparation stage (by the static compaction metho). The maximum compressive loa applie to the soil layers uring the specimen compaction closely matche the breakpoint eviatoric stress (σ i ) for each test specimen. This shows that the breakpoint eviatoric stress (σ i ) is basically the preconsoliation pressure. The analysis also reveale a possible linear relationship between the resilient moulus an the Octaheral stress ratio (σ /τ ) in the logarithmic scale. Five stress moels were briefly iscusse an evaluate in light of recent laboratory test results. The outcome of the initial stuy inicate that the hyperbolic moel may be the most promising moel. This implies that the eviatoric stress alone can aequately express the resilient moulus of the fine-graine soils. It is further note here that the Octaheral stress moel, Eq., is similar to the universal moel recently recommene by AASHTO (Yan an Quintus, 00): M R k θ τ = k pa p a p a + k (4) The constants in the hyperbolic moel appear to be strongly influence by the basic soil properties. Preliminary correlations were establishe between the hyperbolic moel constants an the test specimens basic properties (ex. S00, PI, w, OMC, γ, γ -max, ). Also, the initial relation between the breakpoint resilient moulus an the specimen properties was also obtaine. Aitional test results will be neee to evelop a resilient moulus preiction moel for the A-4 Ohio soils at higher statistical confience levels. Also, the moeling efforts shoul exten to aress the other subgrae soil types (A-6, A-7) commonly foun in Ohio. REFERENCES. Dingqing, L., an Selig, E. T. Resilient Moulus for Fine-Graine Subgrae Soils. Journal of Geotechnical Engineering, Vol. 0, No. 6, ASCE, 994, pp. 99-957.. Drumm, E. C., Boateng-Poku, Y., an Pierce, T. J. Estimation of Subgrae Resilient Moulus from Stanar Tests. Journal of Geotechnical Engineering, Vol. 6, No. 5, ASCE, 99, pp. 774-789.. Frelun, D. G., Bergan, A. T., an Sauer, E. K. Relation Between Resilient Moulus an Stress Conitions for Cohesive Subgrae Soils. Transportation Research Recor, No. 64, 977, pp 7-8. 4. Yan, A., an Quintus, H. L. V. Stuy of LTPP Laboratory Resilient Moulus Test Data an Response Characteristics: Final Report. Publication No. FHWA-RD-0-05, U.S. Dept. of Transportation, Feeral Highway Aministration, McLean, VA, 00, 7 pp.