Comparing Resilient Modulus and Dynamic Modulus of Hot-Mix Asphalt as Material Properties for Flexible Pavement Design

2006 ◽  
Vol 1970 (1) ◽  
pp. 161-170 ◽  
Author(s):  
Amara Loulizi ◽  
Gerardo W. Flintsch ◽  
Imad L. Al-Qadi ◽  
David Mokarem
Keyword(s):  
Material Properties ◽  
Dynamic Modulus ◽  
Hot Mix Asphalt ◽  
Resilient Modulus ◽  
Flexible Pavement ◽  
Pavement Design

scholarly journals Evaluation of reliability index and probability of failure for the improvement of the Nigerian empirical mechanistic flexible pavement analysis and design system (Nempads)

2021 ◽  
Vol 40 (4) ◽  
pp. 564-575
Author(s):  
M.M. Musa ◽  
A.T. Olowosulu ◽  
A.A. Murana ◽  
J.M. Kaura ◽  
I. Bello ◽  
...  
Keyword(s):  
Normal Distribution ◽  
Material Properties ◽  
Reliability Index ◽  
Flexible Pavement ◽  
Probability Of Failure ◽  
Pavement Design ◽  
Design System ◽  
Component Reliability ◽  
Input Parameters ◽  
Different Seasons

The aim of this work was to evaluate reliability index (RI) with respect to fatigue and rutting within the different seasons peculiar to Nigeria, in order to improve Empirical-Mechanistic flexible pavement design approach, using First Order Reliability Method (FORM). Flexible pavement design involves many uncertainties, variabilities, and approximations regarding the input parameters like material properties, traffic loads. Others include subgrade strength, drainage conditions, construction, compaction procedures and climatic factors such as temperature, rainfall, and snowfall, etc. The combination of the variances associated with input parameters contributes to components and system uncertainty, and this combination of variances can have a significant effect on the predicted performance of the pavement. Reliability in pavement design is introduced to consider these uncertainties. Layers thicknesses, material properties, and Equivalent Standard Axle Load (ESAL) were entered into a multi-layer elastic theory software, ELSYM-5, which in turn were used to calculate strains and stresses for different seasons. The results obtained were entered into Nigerian fitted transfer function distress models to compute allowable ESALS. Miner’s hypothesis theory equation was used to calculate the cumulative damage due to stress and strains generated. A Framework was generated for finding individual reliability index (RI), systemic reliability index (SRI), and probability of failure. The findings showed that Season I (Winter) recorded the highest component reliability index for fatigue (5.63 for Normal Distribution). Season II (Summer) recorded the lowest component reliability index (β) for rutting (5.4 for Normal Distribution). Season III (Spring) recorded the lowest component reliability index for fatigue (1.85 for Normal Distribution)

scholarly journals Analysis of CBR design value selection methods on flexible pavement design: Colombia case study

2020 ◽  
Vol 9 (2) ◽  
pp. 509
Author(s):  
Otto Mora L. ◽  
Michel Murillo A. ◽  
Tiana Rosania A. ◽  
Abraham Castañeda A. ◽  
Rosa Pinto C. ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Resilient Modulus ◽  
Flexible Pavement ◽  
Pavement Design ◽  
Selection Methods ◽  
Essential Variable ◽  
The Mean ◽  
Design Value ◽  
Criterion Method

A comparative analysis was carried out to observe the variation of a flexible pavement structural thickness, due to the use of different meth-ods to calculate the CBR design value, as an essential variable to estimate the Subgrade Resilient Modulus (Mr) through an empirical corre-lation. The Asphalt Institute Method and the Mean Criterion Method were applied to calculate de Design CBR value of a homogeneous roadway division from a representative track section located in the Bolivar Department, Colombia. As a result, the Design Percentiles of the CBR design unit were expanded for the Asphalt Institute method, thus, allowing the approach of more reliable and safe designs, considering that this method limits the selection percentiles to three traffic levels.  

scholarly journals Pavement Design Comparative Analysis Using Bina Marga Design Method (Pt T-01-2002-B) And Pavement Design Manual (No.04/Se/Db/2017) (Case Study: Trisakti Port - Liang Anggang)

POROS TEKNIK ◽  
2018 ◽  
Vol 9 (1) ◽  
pp. 36
Author(s):  
Utami Sylvia Lestari ◽  
Nurhafni Karina Resentia
Keyword(s):  
Resilient Modulus ◽  
Design Method ◽  
Flexible Pavement ◽  
Pavement Design ◽  
Traffic Load ◽  
Main Variable ◽  
Pavement Layers ◽  
Bearing Capacity Factor

Traffic load repetition is the main variable in flexible pavement layers design. In addition, a soil bearing capacity factor is also required for determining the thickness of the flexible pavement layer so that the pavement had been designed will be in good perfomance during the that period. The determination of thickness layers using the 2002 method (Pt T-01-2002 B) is based on the traffic load during the design period and subgrade resilient modulus value. Meanwhile the 2017 method (Pavement design manual No. 04/SE/Db/2017), layers thickness was determined based on traffic load and CBR subgrade value. Based on the calculation using both methods, the pavement layers thickness with the pavement design manual 2017 method is more thick than 2002 method. While the ESAL calculation using both methods, the 2002 method value is more larger than the pavement design manual 2017 method.

scholarly journals Prediction of subgrade resilient modulus for flexible pavement design

2011 ◽  
Vol 6 (21) ◽  
pp. 4567-4576 ◽  
Author(s):  
Ridvan Ozel Mehmet ◽  
Mohajerani Abbas
Keyword(s):  
Resilient Modulus ◽  
Flexible Pavement ◽  
Pavement Design

Evaluation of the Effect of Lime Modification on the Dynamic Modulus Stiffness of Hot-Mix Asphalt

2005 ◽  
Vol 1929 (1) ◽  
pp. 10-19 ◽  
Author(s):  
Javed Bari ◽  
Matthew W. Witczak
Keyword(s):  
Dynamic Modulus ◽  
Hot Mix Asphalt ◽  
High Volume ◽  
Hydrated Lime ◽  
Standard Test ◽  
Pavement Design ◽  
State University ◽  
Arizona State University ◽  
Design Guide ◽  
Pavement Structures

Hydrated lime is often used as a mineral filler or antistripping additive in hot-mix asphalt (HMA). Many agencies across North America require the use of lime in all HMA mixtures being placed on high-volume roadways. Despite this wide use of lime, its effects on the HMA mixture dynamic modulus (E*) stiffness have rarely been evaluated. The new mechanistic–empirical (M-E) pavement design guide, Guide for Mechanistic–Empirical Design of New and Rehabilitated Pavement Structures, developed under NCHRP Project 1–37A uses E* as the primary material property of asphalt mixtures for the HMA characterization. A comprehensive study was completed at Arizona State University to assess the effect of lime addition on the E* stiffness of HMA mixtures. The study demonstrated that the standard test and design methodologies of the new M-E pavement design guide could be used effectively for lime-modified HMA mixes. With these methodologies, hydrated lime was found to increase the E* of HMA mixtures by 17% to 65% across the range of mixtures, lime contents, and temperature, with an overall average of 25% increase found from 17 mixture–lime percentage combinations across six different HMA mixes. This paper also outlines a provisional protocol for evaluating the E* master curve for lime-modified HMA mixtures using any of the three hierarchical levels found in the new NCHRP Project 1–37A pavement design guide.

scholarly journals Evaluation of stiffness to predict rutting resistance of hot-mix asphalt: a Canadian case study

2014 ◽  
Vol 9 (4) ◽  
pp. 283-296
Author(s):  
Md Safiuddin ◽  
Susan Louise Tighe ◽  
Ludomir Uzarowski
Keyword(s):  
Regression Analysis ◽  
Dynamic Modulus ◽  
Hot Mix Asphalt ◽  
Resilient Modulus ◽  
Design Method ◽  
Strong Relationship ◽  
Dynamic Moduli ◽  
Rutting Resistance ◽  
The Relationship ◽  
French Laboratory

This paper investigates the relationship between the stiffness and rutting resistance of hot-mix asphalt. Ten different types of hot-mix asphalt were examined. The Superpave mix design method was utilized to produce nine mixes; the remaining mix was designed using the Marshall method. The asphalt mixes were tested for stiffness and rutting resistance under the Centre for Pavement and Transportation Technology research program at the University of Waterloo. The stiffness was determined by the laboratory resilient and dynamic moduli tests. The dynamic modulus test was conducted at six different loading frequencies and five different temperatures. The rutting test was executed by the Hamburg Wheel Rut Tester and the French Laboratory Rutting Tester to obtain rutting depth. The regression analysis was performed to examine the relationships of resilient and dynamic moduli with rutting depth. The results of the regression analysis revealed that resilient modulus did not correlate well with rutting depth. In contrast, dynamic modulus showed strong correlation with rutting depth for a number of loading frequencies and temperatures. The strong relationship was observed at the higher temperatures of +46.1 oC and +54.4 oC. Moreover, the relationship between dynamic modulus and rutting depth was better for lower loading cycles/wheel passes applied in the rutting test. It was also noticed that dynamic modulus exhibited a better relationship with rutting depth obtained from the French Laboratory Rutting Tester. The overall findings indicate that the dynamic moduli obtained at 0.1–1.0 Hz and +46.1–(+54.4) oC are useful to predict the rutting resistance of hot-mix asphalt.

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