University of Nevada Reno, UNR
CEE 427
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CEE 427 PAVEMENT DESIGN
Spring 2011 Instructors: Peter E. Sebaaly & Elie Y. Hajj, Ph.D. SEM Bldg, Room 320A Tel: (775) 784-1180
Pavement Design 2
Pavement Design
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University of Nevada Reno, UNR
CEE 427
Early Pavement Consideration 3
Getting people out of the mud Quality HMA mixes was not a major issue Mix design concepts were simple Traffic levels were generally g y low
Definition 4
Pavement Design
Pavement Design
Pavement
Design
- Upper part of roadway, airport, or parking area structure - Includes all layers resting on the original ground - Consists of all structural elements or layers, including shoulders
- Conceived/ developed plan for something to serve a specific function
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CEE 427
Pavement Design 5
Solves
for thickness required q to carryy loads under material & environmental conditions
M t i l Materials Climate
L d Load D1 ? D2 ? D3 ?
Pavement Design Vs Other Civil Structures 6
Pavement Design
Most civil structures either fail immediately or last for ever. Pavements deteriorate gradually over many years, as a function of materials quality, traffic loading, and environmental influences. Therefore pavement design should be capable of predicting the long term performance of the pavement: not a sudden failure, but a slow progress toward failure.
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CEE 427
Pavement Types 7
I.
Flexible Pavement: Asphalt Concrete (AC) Pavements (mixture of asphalt and stones - HMA): A. Conventional Asphalt Pavements B. Full-Depth Asphalt Pavements
II.
Rigid Pavements: Portland Cement Concrete (PCC) Pavements (mixture of Portland cement, water, and stones)
III.
Composite Pavements: Composed of both HMA and PCC
I. Flexible Pavement Types 8
Flexible Pavement: Asphalt Concrete (AC) Pavements (mixture of asphalt and stones - HMA): A. Conventional Asphalt Pavements B Full-Depth B. Full Depth Asphalt Pavements
Pavement Design
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CEE 427
A. Conventional Asphalt Pavements 9
Seal Coat Tack Coat Prime Coat
Quality
Wearing Course (1”-2”) Binder Course (2”-4”) Crushed Aggregate Base - CAB Gravel or lower quality of crushed aggregate
Base Course (4”-12”) Subbase Course (4”-12”) Compacted Subgrade ( 6”) Natural Subgrade
A. Conventional Asphalt Pavements 10
Asphalt concrete Seal coat: thin coat of liquid asphalt + spread of aggregates
Wearing course: top course of asphalt pavement - usually dense graded HMA - resist distortion under traffic - provide smooth & skid-resistant riding surface - waterproof to protect pavement and SG.
Binder course: HMA too thick to be compacted in one layer, larger size aggregates (NDOT compact max. 2” at a time)
Pavement Design
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CEE 427
A. Conventional Asphalt Pavements 11
Tack Coat: asphalt emulsion diluted with water bond between surface being paved and overlying course very thin & uniformly cover entire surface.
Prime Coat: low-viscosity cutback asphalt applied to an absorbent bsorbent surface. s rf e
Prime Coat vs. Tack Coat 12
Prime coat penetrates into underlying layer, plugs voids, and forms watertight surface
Tack coat does not require the penetration of asphalt into the underlying layer
Pavement Design
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CEE 427
B. Full-Depth Asphalt Pavements 13
Cost-effective for heavy traffic L l materials Local i l not available il bl Prime Coat Asphalt Wearing Course Asphalt Binder Course Prepared Subgrade Natural Subgrade
II. Rigid Pavement Types 14
PCC Slab Base or Subbase Course Subgrade
Base course will not contribute to the structural capacity of the pavement system. Base course used to: o Control pumping o Control frost action o Drainage layer o Control shrinkage & swelling of SG o Construction platform.
Pavement Design
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CEE 427
II. Rigid Pavement Types 15
JPCP: Jointed Plain Concrete Pavement
JRCP: Jointed Reinforced Concrete Pavement
CRCP: Continuously Reinforced Concrete Pavement
II. Rigid Pavement Types 16
Pavement Design
JPCP: Jointed Plain Concrete Pavement
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CEE 427
II. Rigid Pavement Types 17
JRCP: Jointed Reinforced Concrete Pavement
II. Rigid Pavement Types 18
Pavement Design
CRCP: Continuously Reinforced Concrete Pavement
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CEE 427
Rigid Pavements – Tie Bars 19
Rigid Pavements – Dowel Bars 20
• Coated with stainless steel or epoxy p y in order to pprevent corrosion. • Usually inserted at mid-slab depth and coated with a bondbreaking substance to prevent bonding to the PCC. • Dowels help transfer load but allow adjacent slabs to expand and contract independent of one another.
Pavement Design
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CEE 427
How Do Asphalt Pavement Fails 21
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Occurs at High Temperature
Pavement Design
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CEE 427
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Occurs at Intermediate Temperature
Pavement Design
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CEE 427
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FATIGUE CRACKING
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LOW TEMPERATURE CRACKING
Pavement Design
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CEE 427
How Do Rigid Pavement Fails 27
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Pavement Design
Transverse Cracking
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CEE 427
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Longitudinal Cracking
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Pavement Design
Pumping
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Pavement Design
CEE 427
Joint Faulting
Corner Break
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CEE 427
Joint Spalling
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Pavement Design Methods 34
AASHTO Design Procedure (1993) (American Association of State Highway and Transportation Officials).
Pavement Design
Asphalt Institute (AI) Pavement Design Procedure.
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CEE 427
AASHTO 1993 Pavement Design Guide Input parameters 35
Pavement Performance - Serviceability 36
Pavement Design
Serviceability index that range from 0 – 5 describes pavement condition p pi = initial serviceability condition of the pavement immediately after construction (pi = 4.2) pt = terminal serviceability condition of the pavement at the end of performance life F ti l classification Functional l ifi ti
T Terminal i l serviceability i bilit pt
Interstate Principal arterials Collectors/locals
3.0 2.5 2.0
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CEE 427
Pavement Performance – Serviceability (cont’d) 37
Serviceability Loss:
psi = pi – pt = difference between initial serviceability index and terminal serviceability index Ex: for Principal Arterials psi = pi – pt = 4.2 – 2.5 = 1.7
AASHTO 1993 Pavement Design Guide 38
Pavement Design
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CEE 427
Traffic Characterization 39
Most important factor in pavement design
Traffic consideration include: - Loading magnitude and configuration - Number of load repetitions
Traffic Characterization Axle Configuration 40
Single axle single tire
Tandem axles single tires
Pavement Design
Single axle dual tires
Tandem axles dual tires
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CEE 427
Traffic Characterization FHWA Vehicle Classification 41
1) Motor cycles 2) Passenger Cars 3) Other 2-axle, 4 tire single unit veh. 4) Buses 5) 2-axle single tire, single unit truck 6) 3-axle single unit trucks 7) 4 single axle single unit trucks 8) 4 axle single trailer trucks 9) 5-axle single trailer trucks 10) 6 axle single trailer trucks 11) 5 axle multi-trailer trucks 12) 6-axle multi trailer trucks 13) 7 axle multi-trailer trucks
Traffic Load 42
FHWA Class 8 (4 or less axle single trailer trucks) FHWA Class 10 (6 or more axle single trailer trucks)
Pavement Design
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CEE 427
Traffic Load 43
FHWA Class 11 (5 or less axle multi-trailer trucks)
FHWA Class 13 (7 or more axle multi-trailer trucks)
Traffic Load 44
Tractor Semi-trailer 18-wheeler truck
Pavement Design
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Traffic Characterization 45
Design thickness: number of repetitions of a standard single axle load (18 kip = 80 kN). kN)
Any axle/wheel configuration (axle not 18 kip or consists of tandem or tridem axles) is converted to equivalent single axle load (18 kip) by multiplying the number of repetitions p of each configuration g byy its equivalent axle load factor (EALF).
Obtain the equivalent effect based on 18-kip (80 kN) single-axle load – equivalent single axle loads (ESAL)
Traffic Characterization 46
ESAL for Design Lane
ESAL ADT 0 T Tf G D L 365Y ADT = Average Daily Traffic T = truck percentage Tf = truck factor (ESALs/truck) G = growth factor D = directional distribution factor (usually 0.5) L = lane distribution factor (varies with volume of traffic & # of lanes) Y = design period in years
Pavement Design
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CEE 427
Traffic Characterization
Truck Factor Tf 47
single Tf can be applied to all trucks or separate Tf can be used for different truck classes (applicable if different truck growth factors) Use same growth factor for all trucks & a single Tf Tf could be found from: o
Traffic data: # axles for each load group & #of trucks weighed Tf = (ESALs ( for all trucks weighed)/(No. g ) ( trucks weighed) g )
o
NDOT Vehicle Classification report (www.nevadadot.com/reports_pubs/Traffic_Report/)
o
Distribution of truck factors for different classes of highways and vehicles in the US.
Traffic Characterization
Truck Factor Tf 48
AASHTO Equivalent Factors – Example: 18-wheeler truck
30 kips/axle
34 kips/axle 14 kips/axle
0.79 ESAL + 1.15 ESAL + 0.47 ESAL
Total equivalent damage by this truck is (pt = 3.0, SN = 3):
Pavement Design
2.41 ESALs/Truck
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Traffic Characterization 49
Lane distribution factor (L) No. of lanes/direction
% of 18-kip ESAL in design lane
1
100
2
80 – 100
3
60 – 80
4
50 – 75
Total growth factor = (G)(Y) = [(1+r)Y – 1]/r r = annual growth rate
Traffic Characterization 50
Pavement Design
Use total ESAL over analysis period if pavement d designed d ffor analysis l periodd without h any rehabilitation or resurfacing.
Use ESAL during any period for stage construction, rehabilitation,, resurfacingg
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AASHTO 1993 Pavement Design Guide 51
Material Characterization 52
Pavement Design
Soil (subgrade) strength measured using MR
Layer coefficients for HMA, Base, and Subbase
Drainage coefficients
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Material Characterization Subgrade 53
Lab resilient modulus tests – AASHTO T307 Performed f d on representative samples in stress and moisture conditions simulating those of the primary moisture seasons.
Specimen size depends on the particle size
σd σc 6” σc
σc
12”
σc = confining pressure σd = cyclic deviator stress σ3 = σc σ1 = σd + σc σd = σ1 – σ3
CAB / SG
Compressed air
Material Characterization Subgrade 54
Mr = resilient modulus, psi Pa = normalizing stress (atmospheric pressure) = bulk stress; sum of principle stresses oct = octahedral shear stress = 1 1 2 2 1 3 2 2 3 2 3
Pavement Design
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Material Characterization Subgrade – California Bearing Ratio (CBR) 55
Simple strength test that compares the b rin capacity bearing p it off a m material t ri l with ith th thatt of a well-graded crushed stone (AASHTO T193)
high quality crushed stone material should have CBR 100%
Developed by CA Division of Highways (1930) and was subsequently adopted by numerous states, counties, U.S. federal agencies and internationally.
Material Characterization Subgrade – California Bearing Ratio (CBR) 56
Applying load to a small penetration piston at a rate of 0 05”/min & rrecording 0.05”/min rdin th the ttotal t l lload d att penetrations p n tr ti n rranging n in from 0.025 in. up to 0.300 in. x CBR (%) 100 y
Pavement Design
x = unit load on piston for 0.1” or 0.2” of penetration y = standard unit load for well-graded crushed stone - for 0.1" pen = 6.9 MPa (1000 psi) - for 0.2" pen= 10.3 MPa (1500 psi)
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CEE 427
Material Characterization Subgrade – California Bearing Ratio (CBR) 57
General Soil Type
USC Soil Type
CBR Range
GW
40 - 80
GP
30 - 60
GM
20 - 60
GC
20 - 40
SW
20 - 40
SP
10 - 40
SM
10 - 40
Coarse-grained soils
SC
5 - 20
ML
15 or less
CL LL < 50%
15 or less
OL
5 or less
MH
10 or less
CH LL > 50%
15 or less
OH
5 or less
Fine-grained soils
Material Characterization Subgrade – Resistance Value (R-value) 58
Pavement Design
Measure of the material's resistance to plastic flow.
Lab prepared samples fabricated to a moisture & density condition representative of worst possible in-situ condition of a compacted SG.
R-value calculated from ratio of applied vertical pressure to p lateral p pressure. developed
testing apparatus: Stabilometer
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CEE 427
Material Characterization Subgrade – Resistance Value (R-value) 59
R 100
100 2.5 / D 2 Pv / Ph 1 1
Pv = vertical pressure = 160 psi Ph = horizontal pressure at Pv of 160 psi D2 = displacement of stabilometer fluid necessary to increase horizontal pressure from 5 to 100 psi
CA Division of Highways D4” x H 4.5” sample
Material Characterization Subgrade Strength 60
MR can be estimated if R-value is known MR = 145 × 10(0.0147R+1.23), psi Typical R-values: - well-graded (dense gradation) crushed stone base course: 80+ - MH silts: 15-30
Pavement Design
or CBR value is known MR = 2555×(CBR)0.64, psi
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Material Characterization – Layer Coefficients ai 61
A measure of relative ability of a unit thickness of a given layer to function as structural component of the pavement.
Determined from correlations with material properties: ai = f(MR)
NDOT:
aPlantmix Surface aRoadbed Modification aAggregate Base aBorrow
= 0.35 = 0.18 = 0.10 = 0.07
(E2 = 21200 psi)
Material Characterization – Drainage Coefficients mi 62
Account for loss of strength of pavement layers under moisture effects effects.
Drainage coefficients m2 and m3 applied to granular bases and subbases to modify the layer coefficients.
depends on: Quality of drainage (time required to remove most of the water)
Pavement Design
% of time pavement is exposed to moisture levels approaching saturation
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Material Characterization – Drainage Coefficients mi 63
Quality of drainage rated by the time of standing water t or saturated t t d conditions diti
Material Characterization – Drainage Coefficients mi 64
Pavement Design
Recommended m-values for untreated bases and subbases. bb
Ex: pavement designed with fair drainage (moisture drains within a week) and 2 months/year are likely to be saturated conditions: m2 = m3 = 0.8 - 1.0
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AASHTO 1993 Pavement Design Guide 65
Reliability 66
Pavement Design
Probabilistic: Each design factor assigned a mean and a variance. variance
Reliability: defined as the probability that the design will perform its intended function over its design life.
Incorporates some degree of certainty into the design process to ensure that the various design alternatives will last the analysis period.
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Reliability 67
Overall standard deviation (S0): Takes into account error due to variabilityy in estimatingg traffic,, material strength g & construction practice (0.3 – 0.5).
S0 typically about 0.45 for flexible pavement.
ZR – probability that the serviceability will be maintained over the design life of the pavement. Or probability that pavement will ill perform f at or above b pt during d i the h ddesign i period i d (i (inverse off the standard normal cumulative distribution).
S0, ZR – used together to ensure the likelihood that the pavement performs at the expected level of R.
Reliability 68
Suggested Levels of Reliability (R) for Various Road F Functional i l Classifications Cl ifi i Recommended Level of Reliability Functional Classification
Urban
Rural
Interstate and Other Freeways Principal Arterials Collectors Local
85-99.9 80-99 80-95 50-80
80-99.9 75-95 75-95 50-80
NOTE: Results based on a survey of the AASHTO Pavement Design Task Force
Pavement Design
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CEE 427
AASHTO 1993 Pavement Design Guide 69
AASHTO DESIGN PROCEDURE 70
All design factors linked together in one design equation
log10 (W18 ) Z R S o 9.36 log10 ( SN 1) 0.20
PSI log10 2.7 1094 0.4 ( SN 1)5.19
2.32 log10 ( M R ) 8.07
Pavement Design
Used to estimate the SN Solved from a nomograph MR is for SG if SN considered for entire pavement structure, otherwise it is the MR of the supporting layer
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CEE 427
AASHTO DESIGN PROCEDURE 71
log10 (W18 ) Z R S o 9.36 log10 ( SN 1) 0.20
PSI log10 2.7 1094 0.4 ( SN 1)5.19
2.32 log10 ( M R ) 8.07
W18 = predicted traffic load in ESAL (18 kips loads) ZR = standard normal deviate for specified reliability R S0 = combined standard error of the traffic prediction and performance prediction (0.45 for flexible pavements) PSI = pi – pt = difference between initial and terminal serviceability index MR = resilient modulus (psi)
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log10 (W18 ) Z R S o 9.36 log10 ( SN 1) 0.20
PSI log10 2.7 1,094 ( SN 1)5.19
0.4
2.32 log10 ( M R ) 8.07
Pavement Design
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CEE 427
AASHTO DESIGN PROCEDURE 73
Strength of pavement represented by a Structural Number (SN) function of layer thickness thickness, layer coefficient, & drainage coefficient.
Total pavement structural number: SN = aiDimj
ai = layer coefficient – pavement relative quality as a structural unit – related to MR mi = drainage coefficient SN = solved from equation or nomograph
AASHTO DESIGN PROCEDURE 74
Select a set of thicknesses so that provided SN = a1D1 + a2D2m2 + a3D3m3 > required SN (nomograph)
a1, a2, & a3 = layer coefficient for the surface, base, & subbase, respectively D1, D2, & D3 = thickness of surface, base, & subbase, respectively E1 a1 E2 a2 m2 E3 a3 m3 MR
Pavement Design
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CEE 427
AASHTO DESIGN PROCEDURE 75
Procedure 1. Using E2 as MR determine d SN1 requiredd to protect the h b base (nomograph)
D1*
SN1 a1
D1* is rounded up to nearest 0.5 in. and a design value of the surface structure number SN1* is calculated from D1* by
SN1* a1 D1*
AASHTO DESIGN PROCEDURE 76
Procedure 2 Using 2. U i E3 as MR determine d t r i SN2 required r ir d tto pr protect t t th the subbase (nomograph)
D2 *
SN 2 SN 1* a2 m2
D2* is i rounded d d up tto nearestt 0.5 0 5 in. i and d a ddesign i value l off the surface structure number SN2* is calculated from D2* by
SN 2* D2*a2 m2
Pavement Design
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CEE 427
AASHTO DESIGN PROCEDURE 77
Procedure 3 Based on roadbed MR determine the total SN3 required 3. (nomograph)
D3 *
SN 3 SN *2 a3 m3
D3* is i rounded d d up p tto nearestt 0.5 0 5 in. i and d a ddesign i value l off the surface structure number SN3* is calculated from D3* by
SN 3* D3*a3m3
AASHTO DESIGN EXAMPLE 78
o o o o o o o o o
Pavement Design
Design a pavement for a 6-lane (both direction) urban principal arterial Pavement structure: asphalt concrete and granular base. Subgrade R-value = 36 Design years, Y = 20 Two-Way Traffic ADT = 19,000 Annual growth rate (r) = 3% Truck percentage, T = 4% Truck factor, Tf = 0.745 ESAL/Truck It is estimated it will take a day for water to drain from the pavement & that the pavement will be saturated about 15% of the time
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CEE 427
Solution 79
Initial serviceability index pi = 4.2 Final serviceability index pt = 2.5 psi = pi – pt = 4.2 – 2.5 = 1.7 Functional classification
Terminal serviceability pt
Interstate
30 3.0
Principal arterials
2.5
Collectors/locals
2.0
Solution Traffic Characterization 80
Directional Distribution D = 0.5 Lane Distribution L = 0.70 No. of lanes in each direction 1 2 3 4
Pavement Design
Percentage of 18-kip ESAL in design lane 100 80 – 100 60 – 80 50 – 75
L = 70 %
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CEE 427
Solution Traffic Characterization 81
Total growth factor = (G)(Y) = [(1+r)Y – 1]/r = [(1+0.03) [(1+0 03)20 – 1]/0.03 1]/0 03 = 26.87
ESAL for Design Lane ESAL ADT 0 T Tf G D L 365Y
ESAL = (19000)(0.04)(0.745)(0.50)(0.70)(26.87)(365) = 1,943,589 2 106
Solution Material Characterization 82
Pavement Design
Subgrade MR = 145 10(0.0147R+1.23) (0 014736+1 23) = 8329 psii = 145 10(0.014736+1.23) aPlantmix Surface = 0.35 aAggregate Base = 0.10 equivalent to E2 = 21200 psi Drainage g coefficient: Time to drain is 1 day – characterized as Good. Pavement expected to be saturated about 15% of the time: m2= 1.0
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Solution – Drainage Coefficients mi 83
Quality of drainage rated by the time of standing water t or saturated t t d conditions diti
Solution – Drainage Coefficients mi 84
Pavement Design
Recommended m-values for untreated bases and subbases. bb
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Solution Reliability 85
R = 90% S0 = 0.45 0 45 (typical for flexible pavements) Recommended Level of Reliability Functional Classification
Urban
Rural
Interstate and Other Freeways
85-99.9
80-99.9
Principal Arterials
80-99
75-95
Collectors
80-95
75-95
Local
50-80
50-80
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2.6 SN1 =?? R = 90% So = 0.45 W18 = 2 106 PSI = 1.7 MR = 21,200 psi (E2 of Base)
Pavement Design
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Solution 87
SN1 = 2.6
D1= SN1/a1 = 2.6/0.35 = 7.43 in. (Round up to the next 1/2 in.) D1* = 7.5 7 5 in. in SN1* = a1D1* = 0.35 7.5 = 2.625
88
SN2 =?? 3.7 R = 90% So = 0.45 W18 = 2 106 PSI = 1.7 MR = 8,329 psi (Roadbed)
Pavement Design
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Solution 89
SN2 = 3.7
D2= (SN2 – SN1*)/(a2m2) = (3.7 – 2.625)/(0.10 1.0) = 10.75 ((Round up p to nearest 1/2 in.))
D2* = 11 in.
SN2* = SN1* + a2m2D2* = 2.625 + 0.10 1.0 11 = 3.725 3.7 OK
Solution 90
The Pavement will consist of 7.5 inch of asphalt concrete t surface f andd 11.0 11 0 inch i h off granular l b base. Asphalt Concrete Crushed Aggregate Base - CAB
7.5 inch 11.0 inch
Subgrade
Pavement Design
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Solution 91
Instead of 7.5 inch of asphalt concrete surface a 5.0 inch of AC will be used used. What is the new granular base thickness needed to maintain the required total SN?
SN2 = 3.7 = a1D1’ + a2m2D2’ = 0.355 + 0.101.0D2’ D2’ = (3.7 (3 7 – 0.355)/(0.101.0) 0 355)/(0 101 0) = 19.5 19 5 inch However you need to be careful when reducing the AC layer thickness
Meadowood Mall Way 92
Pavement Design
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Meadowood Mall Way 93
Ground water was encountered at depths ranging between 33.5-45 33 5 45 ft below existing e isting grade at the time of exploration in Dec 1998. At the time of exploration in August 2007, ground water was encountered at depths ranging between 14-21 ft below existing grade on the west side of the Meadowood Mall Way bridge site, and 27 ft on the east side.
Meadowood Mall Way 94
Ground water elevations will vary depending on: the
time of year of construction,
winter
precipitation levels prior to construction, and
irrigation
Pavement Design
practices of upslope areas.
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Meadowood Mall Way 95
Changes in water level changes in moisture content Native Nati e cla clay soils will exhibit e hibit considerable shrink-swell potential. In most explorations, clays were generally moist to wet if overlaying soils were removed the clay soils would tend to shrink if allowed to dry.
Meadowood Mall Way 96
A non-woven geotextile can be placed below aggregate base layer. layer Function of geotextile:
Separation, Reinforcement, Flirtation/drainage
Some Benefits Reduce stresses on SG and prevent penetration of fines i b into base aggregate. Reduce disturbance of sensitive SG Reduce thickness of granular base
Pavement Design
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Meadowood Mall Way 97
Design of geotextile Nott responsible N ibl ffor geotextile t til design. d i Recommend non-woven geotextile on top of SG for the designed pavement section.
Materials Information 98
Pavement Design
Dense-Graded Plantmix Unit Weight: 1.957 ton/yd3 Aggregate Base Unit Weight (Includes 8% Moisture: 138.5 lb/ft3 Liquid Asphalt, Type MC-70NV Prime Coat: 0.28 gal/yd2 Emulsified Asphalt, Type SS-1h (Diluted) Tack Coat: 0.06 gal/yd l/ d2
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Typical Nevada Construction Costs 99
Pavement Design
Material
Units
Cost
Type 1 Class B Aggregate Base
Ton
$15.00
Asphalt Concrete Surface Course
Ton
$75.00
Emulsified Asphalt – Type SS-1h (Tack Coat) Ton
$350.00
Liquid Asphalt – MC-70NV (Prime Coat)
Ton
$500.00
Non-woven Geotextile
Yard2
$5.00
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