TRB Workshop Implementation of the 2002 Mechanistic Pavement Design Guide in Arizona

Transcription

1 TRB Workshop Implementation of the 2002 Mechanistic Pavement Design Guide in Arizona Matt Witczak, ASU Development of Performance Related Specifications for Asphalt Pavements in the State of Arizona 11 January 2004

2 ADOT ASU IMPLEMENTATION STUDY Major Tasks Develop Work Plan (Joint Effort with ASU and State) Schedule, Work Time, Budget etc Lab Material Characterization Build Input Files for Typical Materials in AZ Environmental Regions Develop Unique Environmental Regions in State

3 ADOT ASU IMPLEMENTATION STUDY (Continued) Major Tasks Develop State Route Traffic Files Use the Current state of the Art Available for Immediate Implementation Implementation Methodology Assess Design Guide Performance Predictions Recalibrate (if Necessary) Develop ADOT Performance Related Specifications

4 Enhanced Integrated Climatic Model Implementation Climatic Data is required by the EICM to calculate: - Temperature Distribution within Pavement System - Thermal Fracture - Fatigue - Permanent Deformation - Changes in Moduli as a Function of Seasonal Variations (Freeze/Thaw/Recovery)

5 EICM Implementation Specific Weather Station

6 Active Weather Stations with Hourly Data (NCDC) 14 stations

7 Active Weather Stations with Hourly Data (AZMET) 23 stations

8 CLIMATIC REGIONS FOR THE STATE OF ARIZONA Basis Physiographic units and highway design requirements Precipitation Topography Heating and cooling requirements

9 DEVELOPMENT OF UNIQUE TRAFFIC UNITS FOR THE ARIZONA HIGHWAY NETWORK

10 ROLE OF TRAFFIC DATA A KEY FACTOR IN THE DESIGN AND ANALYSIS OF PAVEMENT STRUCTURES Expressed as Equivalent Single Axle Loads (ESALs) by AASHTO Design Guide since 1972 Expressed as Full axle load spectra by new 2002 Design Guide

11 ARIZONA HIGHWAY NETWORK SUMMARY Interstate Highway I-8, I-10 I-15, I-17 I-19, I-40 U.S. Highway U-60, U-89T, U-180 U-64, U-93, U-191 U-70, U-95, U-191B U-89, U-160 U-89A, U-163 State Highway S-8B, S-10B, S-10X, S-40B, S-40X, S-51 S-61, S-64 S64S, S-66, S-67, S-68, S-69 S-71, S-72, S-73, S-74, S-75, S-77, S-78 S-79, S-80, S-81, S-82, S-83, S-84, S-85 S-86, S-87, S-88, S-89, S-89A, S-79B S-89L, S-90, S-92, S-95, S-95B, S-95X S-95T, S-96, S-97, S-98, S-99, S-101L S-143, S-153, S-169, S-170, S-177, S-179 S-180A, S-181, S-186, S-187, S-188, S-189 S-202L, S-210, S-238, S-260, S-260S, S-261 S-264, S-266, S-266S, S-273, S-277, S-277S S-280, S-286, S-287, S-288, S-289, S-303L S-347, S-366, S-373, S-377, S-386, S-387 S-389, S-473, S-564, S-587, S-989 Total: 6 Total: 13 Total: 86

12 DEVELOPMENT OF TRAFFIC UNITS Based on existing ADOT traffic sections (HPMS) and classification stations (VCP stations) Plot detailed AADT as a function of mileposts Regroup the existing class stations into reasonable and homogeneous traffic units according to: traffic volume variations (within 10~15% range)

13 COMPONENTS OF TRAFFIC INFORMATION IN THE DATABASE Average Annual Daily Traffic (AADT) Traffic growth rate within a section (r g ) Percent trucks (pt) Vehicle Classification Percentage (VCP)

14 a b c vcp42 a b I-8 Unique Traffic Units vcp41 vcp15 vcp16 vcp62 c d a b ASU linear prediction ASU compound prediction ADOT linear prediction 35 ADT (x1000) ( ) (HPMS No.) Milepost

15 40 35 I-8 AADT IN THE YEAR 2002 ASU linear prediction ASU compound prediction ADOT linear prediction 30 AADT (x1000) Milepost 15

16 I-8 percent trucks in the year ASU linear method ASU compound method ADOT linear method % Truck Milepost

17 I-8 VCP DISTRIBUTION VS. VEHICLE CLASSIFICATION IN YEAR 2002 Normalized VCP (%) ASU Linear sta. #42 ASU Comp. sta. #42 ADOT Linear sta. # Vehicle Classification (4-13) 17

18 ADOT AC Binder Characterization Database Project

19 Binders Tested Serial No. Manufacturer Performance Grading Type 1 Paramount Unmodified 2 Paramount Unmodified 3 Chevron Unmodified 4 Navajo Unmodified Western 5 Chevron Unmodified 6 Navajo Western SBS Modified

20 Binder Temp. Original RTFO Aged (oc) G*(kPa) δ ( o ) G*/sinδ G*(kPa) δ ( o ) G*/sinδ Paramount Paramount Chevron Navajo Chevron Navajo Binder Temp. PAV100 Aged PAV110 Aged (oc) G*(kPa) δ ( o ) G*sinδ G*(kPa) δ ( o ) G*sinδ Paramount Paramount Chevron Navajo Chevron Navajo

21 A & VTS Values: No. Binder Age A VTS 1 Paramount PG Paramount PG Chevron PG Navajo PG Chevron PG Navajo PG Original RTFO PAV100 PAV110 Original RTFO PAV100 PAV110 Original RTFO PAV100 PAV110 Original RTFO PAV100 PAV110 Original RTFO PAV100 PAV110 Original RTFO PAV100 PAV

22 ADOT AC Mixtures Advanced Material Characterization Tests

23 Characterization Tests-Completed on 12+ Typical AC Mixtures Used in AZ Stiffness Dynamic Modulus E* 5 Temperatures 5 Frequencies Permanent Deformation - Repeated Load 3 Temperatures 2 Stress States Low Temp Cracking-IDT Creep & Strength 3 Temperatures Fatigue Cracking Beam 4 Point Loading 3 Temperatures Constant stress/strain Conduct Simple Performance Tests (Fn and Ft)

24 E* 10 6 psi Master Curve SC F 40 F 70 F 100 F 130 F Predicted Log Reduced Time, s

25 8 Shift Factor Shift Factors for SC log at y = 8E-05x x R 2 = Temperature, F

26 Fitting Parameters and Shift Factors of Mixtures Having Different Binders Parameter SC SN SC δ α β γ a(14 o F) a(40 o F) a(100 o F) a(130 o F)

27 ADOT AC Fatigue Database

28 Test Variables 12 ADOT mixes 2 modes of loading Strain control or Stress control 6-10 strain or stress levels 3 temperatures 100, 70, 40 o F 1 replicates Maximum 720 specimens Minimum 432 specimens

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30 Development of a Resilient Modulus (M R ) Predictive Model for Use in Mechanistic Empirical Pavement Response Models Arizona State University

31 2002 Design Guide Stress-Dependent M R Model M R = k 1 p a θ p a k 2 τ p oct a 1 + k 3 k 1, k 2, k 3 = Regression parameters θ = Bulk stress τ oct = Octahedral shear stress p a = Atmospheric pressure

32 M R Moisture Model Coarse-Grained Materials M R - Moisture Model for Coarse-Grained Materials M R /M Ropt Literature Data Predicted (S - S opt )%

33 Arizona DOT Materials Material ID ADOT Description Source Function AASHTO Class. Unified Soil Class. PVSG SM/CL Phoenix Metro Area Subgrade A-2-4 SC YSSG SC-SM Yuma Area Subgrade A-1-a GP FCSG CH Flagstaff Area Subgrade A-2-6 SC SCSG - Sun City Subgrade A-2-6 SC GMAB2 AB-2 Grey Mountain Base A-1-a GW SRAB2 AB-2 Salt River Base A-1-a SP GLAB2 AB-2 Globe Base A-1-a SP-SM PRAB2 AB-2 Prescott Base A-1-a SP-SM

34 Arizona Database of Model Parameters Material ID AASHTO USCS a b k w β k 1 k 2 k 3 w opt std % Phoenix Valley Subgrade A-2-4 SC Yuma Area Subgrade A-1-a GP , Flagstaff Area Subgrade A-2-6 SC Sun City Subgrade A-2-6 SC Grey Mountain Base A-1-a GW , Salt River Base A-1-a SP , Globe Area Base A-1-a SP-SM , Precott Area Base A-1-a SP-SM , ADOT A-1-a AB2 Base Materials A-1-a SP-SM , ADOT A-2 Subgrade Materials A-2 SC

35 IMPLEMENTATION STUDY STATUS AND CONSIDERATIONS 5 Year Study Approx $250 k per Year All Material Testing Nearly Completed Estimated time for initial Material Characterization program to be completed June 2004 Traffic & Climatic Zones Completed Remaining Effort Code Modifications for Local AZ conditions Select AZ Test Sites for Local Calibration Develop Input Database for Calibration Conduct AZ Calibration Finalize Design Guide for ADOT

36 IMPLEMENTATION STUDY STATUS AND CONSIDERATIONS US Should Develop a Nationally Coordinated Design Guide Materials Characterization Center Standardize Testing Protocols State / Local University / SP Centers Collect / Synthesize / Analyze and SHARE Test Results Basis for Future Precision / Bias Studies Long Term Goal to Minimize Testing Requirements for Guide Implementation Tests E*, Thermal Fracture, Fatigue, Repeated Load Permanent Deformation, Fn(Flow Number) and Ft (Flow Time)