An investigation into Dynamic Modulus of Western Australia Hot Mix Asphalt
Most road networks in Western Australia (WA) are made of flexible pavement with a relatively thin asphalt wearing course and Dense Graded Asphalt (DGA), a commonly used asphalt mix with a continuous size distribution and a low design air-void of around 3% to 7%. Currently, the input parameters for a...
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Conference Paper |
| Published: |
CRC Press/Balkema is an imprint of the Taylor & Francis Group, an informa business
2014
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/45598 |
| _version_ | 1848757331019431936 |
|---|---|
| author | Kumlai, S. Jitsangiam, Peerapong Nikraz, Hamid |
| author2 | Y. Richard Kim |
| author_facet | Y. Richard Kim Kumlai, S. Jitsangiam, Peerapong Nikraz, Hamid |
| author_sort | Kumlai, S. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Most road networks in Western Australia (WA) are made of flexible pavement with a relatively thin asphalt wearing course and Dense Graded Asphalt (DGA), a commonly used asphalt mix with a continuous size distribution and a low design air-void of around 3% to 7%. Currently, the input parameters for asphalt material for pavement design in Australia still rely entirely on the resilient modulus which cannot incorporate the visco-elastic behaviour of such material into pavement analysis and design. Unlike the resilient modulus, the recently introduced parameter of the dynamic modulus can express the intrinsic behaviour of the visco-elasticity of an asphalt material. The dynamic modulus can describe the stress-strain relationship of viscoelastic material across a wide range of temperatures and frequencies in the form of the Master Curve. The Master Curve is constructed from a sigmoidal function and the Time-Temperature Superposition principle (TTS) with a second-order polynomial shift factor function, according to AASHTO PP62-09. This study aims to investigate the dynamic modulus of Western Australian asphalt mixes, considering three different mixes with varying maximum aggregate sizes of 7 mm, 10 mm, and 14 mm. For this study, all test specimens were controlled to reach a 5% air-void with a Survopac gyratory compactor. Specimens were then tested with an Asphalt Mixture Performance Tester (AMPT) with a testing range of four temperatures: 4°C, 21°C, 37°C and 54°C, and six frequencies; 0.1 Hz, 0.5 Hz, 1 Hz, 5 Hz, 10 Hz, and 25 Hz, according to AASHTO TP62-07. Moreover, the dynamic modulus predictive equation proposed by NCHRP 1-37A MEPDG was modified and introduced to suit WA asphalt mixes. |
| first_indexed | 2025-11-14T09:26:23Z |
| format | Conference Paper |
| id | curtin-20.500.11937-45598 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:26:23Z |
| publishDate | 2014 |
| publisher | CRC Press/Balkema is an imprint of the Taylor & Francis Group, an informa business |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-455982017-01-30T15:22:00Z An investigation into Dynamic Modulus of Western Australia Hot Mix Asphalt Kumlai, S. Jitsangiam, Peerapong Nikraz, Hamid Y. Richard Kim Master Curve Asphalt concrete AMPT Predictive equation Dynamic modulus Most road networks in Western Australia (WA) are made of flexible pavement with a relatively thin asphalt wearing course and Dense Graded Asphalt (DGA), a commonly used asphalt mix with a continuous size distribution and a low design air-void of around 3% to 7%. Currently, the input parameters for asphalt material for pavement design in Australia still rely entirely on the resilient modulus which cannot incorporate the visco-elastic behaviour of such material into pavement analysis and design. Unlike the resilient modulus, the recently introduced parameter of the dynamic modulus can express the intrinsic behaviour of the visco-elasticity of an asphalt material. The dynamic modulus can describe the stress-strain relationship of viscoelastic material across a wide range of temperatures and frequencies in the form of the Master Curve. The Master Curve is constructed from a sigmoidal function and the Time-Temperature Superposition principle (TTS) with a second-order polynomial shift factor function, according to AASHTO PP62-09. This study aims to investigate the dynamic modulus of Western Australian asphalt mixes, considering three different mixes with varying maximum aggregate sizes of 7 mm, 10 mm, and 14 mm. For this study, all test specimens were controlled to reach a 5% air-void with a Survopac gyratory compactor. Specimens were then tested with an Asphalt Mixture Performance Tester (AMPT) with a testing range of four temperatures: 4°C, 21°C, 37°C and 54°C, and six frequencies; 0.1 Hz, 0.5 Hz, 1 Hz, 5 Hz, 10 Hz, and 25 Hz, according to AASHTO TP62-07. Moreover, the dynamic modulus predictive equation proposed by NCHRP 1-37A MEPDG was modified and introduced to suit WA asphalt mixes. 2014 Conference Paper http://hdl.handle.net/20.500.11937/45598 CRC Press/Balkema is an imprint of the Taylor & Francis Group, an informa business restricted |
| spellingShingle | Master Curve Asphalt concrete AMPT Predictive equation Dynamic modulus Kumlai, S. Jitsangiam, Peerapong Nikraz, Hamid An investigation into Dynamic Modulus of Western Australia Hot Mix Asphalt |
| title | An investigation into Dynamic Modulus of Western Australia Hot Mix Asphalt |
| title_full | An investigation into Dynamic Modulus of Western Australia Hot Mix Asphalt |
| title_fullStr | An investigation into Dynamic Modulus of Western Australia Hot Mix Asphalt |
| title_full_unstemmed | An investigation into Dynamic Modulus of Western Australia Hot Mix Asphalt |
| title_short | An investigation into Dynamic Modulus of Western Australia Hot Mix Asphalt |
| title_sort | investigation into dynamic modulus of western australia hot mix asphalt |
| topic | Master Curve Asphalt concrete AMPT Predictive equation Dynamic modulus |
| url | http://hdl.handle.net/20.500.11937/45598 |