Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

sediment yield Earth & Environmental Sciences
Tunnels Engineering & Materials Science
Soils Engineering & Materials Science
sediment Earth & Environmental Sciences
tunnel Earth & Environmental Sciences
Highway systems Engineering & Materials Science
catchment Earth & Environmental Sciences
Students Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 1998 2020

Research Output 1987 2018

An alternative analysis of indirect tensile test results for evaluating fatigue characteristics of asphalt mixes

Barman, M., Ghabchi, R., Singh, D., Zaman, M. & Commuri, S., Mar 30 2018, In : Construction and Building Materials. 166, p. 204-213 10 p.

Research output: Contribution to journalArticle

Fatigue of materials

Artificial neural network-based intelligent compaction analyzer for real-time estimation of subgrade quality

Imran, S. A., Barman, M., Commuri, S., Zaman, M. & Nazari, M., Jun 1 2018, In : International Journal of Geomechanics. 18, 6, 04018048.

Research output: Contribution to journalArticle

drums (equipment)
artificial neural network
neural networks