IIT-H research may help construct long-lasting roads in India
Preeti Biswas | TNN | May 28, 2019, 19:52 IST
(L to R) The Research Team of Prof Sireesh Saride, IIT-H, Dr.B. Munwar Basha, Associate Professor, IIT-H & Mr ... Read MoreHYDERABAD: In order to reduce number of road accidents in the country, researchers at the Indian Institute of Technology (IIT), Hyderabad have developed models that can accurately predict road surfaces & pavement's performance.
Considering that India has the second largest road network in the world, after the United States, the offers a solution that can accurately predict pavement performance, helping in construction of long-lasting roads in India. Reliability-Based Design Optimization - RBDO - is a modeling technique that combines optimization approaches with reliability assessment of structures.
The team of researchers, including B Munwar Basha, associate professor, department of civil engineering, IIT Hyderabad and PRT Pranav, research scholar, IIT Hyderabad, used RBDO to predict safety of multi-layered flexible pavement structures against fatigue and rutting criteria while simultaneously considering the variability arising from individual design parameters.
The flexible pavement was modelled as containing four layers - subgrade, granular subbase, base and bitumenous layers. Modelling studies showed that the bituminous layer's thickness and resilient modulus of the base layer are the most influential parameters for the fatigue failure.
"The pavements are complex layered structures influenced by many factors such as material properties, environmental and climatic conditions, traffic volume, subgrade soil profile, construction practices, and pavement aging process. Hence, transportation agencies require innovative techniques to address the variabilities associated with the influencing factors," said Prof Sireesh Saride, department of civil engineering, IIT Hyderabad.
Results of the simulation studies were compared with data from American Association of State Highway and Transportation Officials (AASHTO) guide for the design of pavements. "AASHTO overestimated reliability by 10-40 per cent compared to RBDO because the former did not consider the variability associated with geometrical and material properties," said Basha.
Researchers claim that in modern pavement construction, accurate prediction of pavement performance will help develop robust design procedures.
Considering that India has the second largest road network in the world, after the United States, the offers a solution that can accurately predict pavement performance, helping in construction of long-lasting roads in India. Reliability-Based Design Optimization - RBDO - is a modeling technique that combines optimization approaches with reliability assessment of structures.
The team of researchers, including B Munwar Basha, associate professor, department of civil engineering, IIT Hyderabad and PRT Pranav, research scholar, IIT Hyderabad, used RBDO to predict safety of multi-layered flexible pavement structures against fatigue and rutting criteria while simultaneously considering the variability arising from individual design parameters.
The flexible pavement was modelled as containing four layers - subgrade, granular subbase, base and bitumenous layers. Modelling studies showed that the bituminous layer's thickness and resilient modulus of the base layer are the most influential parameters for the fatigue failure.
"The pavements are complex layered structures influenced by many factors such as material properties, environmental and climatic conditions, traffic volume, subgrade soil profile, construction practices, and pavement aging process. Hence, transportation agencies require innovative techniques to address the variabilities associated with the influencing factors," said Prof Sireesh Saride, department of civil engineering, IIT Hyderabad.
Results of the simulation studies were compared with data from American Association of State Highway and Transportation Officials (AASHTO) guide for the design of pavements. "AASHTO overestimated reliability by 10-40 per cent compared to RBDO because the former did not consider the variability associated with geometrical and material properties," said Basha.
Researchers claim that in modern pavement construction, accurate prediction of pavement performance will help develop robust design procedures.
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