Influence of Self-Healing Behavior on the Viscoelastic Properties of Asphalt Concrete

The environmental impact and vehicular load repetitions on asphalt concrete pavement exhibits negative influence on its service life. It is known that the asphalt concrete exhibit Self-healing behavior when practicing hot environment or rest period. In the present work, the influence of self-healing behavior on viscoelastic properties of asphalt concrete in terms of the variations in the cumulative dissipated energy and the phase angle after practicing the self-healing process was assessed. Asphalt concrete slab sample of (40 x 30 x 6) cm was prepared in the laboratory with optimum binder requirement and compacted with the aid of laboratory roller compactor. Beam specimens of 50±2 mm high, 63±2 mm wide and 400 mm length were obtained and tested for fatigue under dynamic flexural stresses at 20 °C and constant strain level of 400 micro strains. The test was terminated when the flexural stiffness declined to 50 % of its original value. The specimens were then stored inside an oven at 85 ° C for two hours to allow for the self-healing of micro cracks. Beam specimens of asphalt concrete were allowed to cool at room temperature for two hours, then transferred to the testing chamber and subjected to dynamic flexural fatigue test to determine the impact of healing on its viscoelastic properties. It was concluded that at failure, the cumulative dissipated energy increases by 100 % after practicing micro crack self-healing process while the fatigue life increases by 53.8 % as compared with the case before healing process. At failure, the phase angle declined by 6 % after self -healing process.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-16
DOI
https://doi.org/10.5281/zenodo.13766834
Primary Topic
Microbial Applications in Construction Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Influence of Self-Healing Behavior on the Viscoelastic Properties of Asphalt Concrete

Zenodo (CERN European Organization for Nuclear Research)
Microbial Applications in Construction Materials
article

Influence of Self-Healing Behavior on the Viscoelastic Properties of Asphalt Concrete

article en

Abstract

The environmental impact and vehicular load repetitions on asphalt concrete pavement exhibits negative influence on its service life. It is known that the asphalt concrete exhibit Self-healing behavior when practicing hot environment or rest period. In the present work, the influence of self-healing behavior on viscoelastic properties of asphalt concrete in terms of the variations in the cumulative dissipated energy and the phase angle after practicing the self-healing process was assessed. Asphalt concrete slab sample of (40 x 30 x 6) cm was prepared in the laboratory with optimum binder requirement and compacted with the aid of laboratory roller compactor. Beam specimens of 50±2 mm high, 63±2 mm wide and 400 mm length were obtained and tested for fatigue under dynamic flexural stresses at 20 °C and constant strain level of 400 micro strains. The test was terminated when the flexural stiffness declined to 50 % of its original value. The specimens were then stored inside an oven at 85 ° C for two hours to allow for the self-healing of micro cracks. Beam specimens of asphalt concrete were allowed to cool at room temperature for two hours, then transferred to the testing chamber and subjected to dynamic flexural fatigue test to determine the impact of healing on its viscoelastic properties. It was concluded that at failure, the cumulative dissipated energy increases by 100 % after practicing micro crack self-healing process while the fatigue life increases by 53.8 % as compared with the case before healing process. At failure, the phase angle declined by 6 % after self -healing process.

Zenodo (CERN European Organization for Nuclear Research)
Life in Land
Openalex Percentile: Top 73%
Microbial Applications in Construction Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.