Laboratory Determination of Resilient Modulus for Flexible Pavement Design

2004 ◽  
Author(s):  
◽  
Keyword(s):  
Resilient Modulus ◽  
Flexible Pavement ◽  
Pavement Design ◽  
Laboratory Determination

Field and Laboratory Determination of Subgrade Resilient Modulus and its Application in Pavement Design

2014 ◽  
Vol 43 (5) ◽  
pp. 20140106 ◽  
Author(s):  
Richard Ji ◽  
Tommy Nantung ◽  
Nayyarzia Siddiki ◽  
Tao Liao ◽  
Daehyeon Kim
Keyword(s):  
Resilient Modulus ◽  
Pavement Design ◽  
Laboratory Determination

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 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 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

Weighting Factor for Seasonal Subgrade Resilient Modulus

1998 ◽  
Vol 1619 (1) ◽  
pp. 94-101 ◽  
Author(s):  
Yun Guan ◽  
Eric C. Drumm ◽  
N. Mike Jackson
Keyword(s):  
Environmental Factors ◽  
Seasonal Variations ◽  
Resilient Modulus ◽  
Effective Means ◽  
Cost Effective ◽  
Weighting Factor ◽  
Pavement Design ◽  
Different Seasons ◽  
Subgrade Modulus

Subgrade resilient modulus is highly dependent on water content, which can vary significantly with a number of seasonal environmental factors. Because the determination of seasonal resilient modulus is cumbersome, it is difficult to include environmental factors in pavement design. The use of a weighting factor for flexible pavement design to include the effects of monthly changes in the subgrade resilient modulus is described. The weighting factor, which was derived from Miner’s linear damage concept and the 1993 AASHTO design equation for flexible pavements, is used to designate a design season. Instead of using multiple values of resilient modulus in the pavement design process, the pavement design may be performed with a single value of subgrade modulus corresponding to this design season. A pavement design based on this design season then is assumed to reflect the seasonal variations in subgrade modulus and the corresponding relative damage that the pavement would sustain over al seasons of the year. The weighting factor can be calculated from laboratory tests of resilient modulus over the range of water contents that may be encountered in the subgrade over different seasons. Alternatively, the weighting factor can be obtained from the resilient modulus backcalculated from seasonal nondestructive tests. The determination of the weighting factor and the design season resilient modulus was demonstrated in three examples and shown to be consistent with the recommendations of the 1993 AASHTO guide. The use of the weighting factor should provide a cost-effective means of including seasonal variations in subgrade properties while minimizing the required number of laboratory resilient modulus tests.

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