• 756 Citations
  • 15 h-Index
20102019
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Fingerprint Dive into the research topics where Nur Izzi Md Yusoff is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 24 Similar Profiles
asphalt Chemical Compounds
Asphalt Engineering & Materials Science
Binders Engineering & Materials Science
Asphalt mixtures Engineering & Materials Science
Pavements Engineering & Materials Science
Asphalt pavements Engineering & Materials Science
Aging of materials Engineering & Materials Science
Mastic asphalt Engineering & Materials Science

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Research Output 2010 2019

A comparative study of monitoring methods in sustainable pavement management system

Chin, M. J., Babashamsi, P. & Md Yusoff, N. I., 24 Apr 2019, In : IOP Conference Series: Materials Science and Engineering. 512, 1, 012039.

Research output: Contribution to journalConference article

Open Access
Pavements
Monitoring
Smart sensors
Sustainable development
Costs

Comparative study of moisture damage performance test

Taib, A., Jakarni, F. M., Rosli, M. F., Md Yusoff, N. I. & Aziz, M. A., 24 Apr 2019, In : IOP Conference Series: Materials Science and Engineering. 512, 1, 012008.

Research output: Contribution to journalConference article

Open Access
Moisture
Asphalt mixtures
asphalt
Adhesives
Pavements

Design and properties of high reclaimed asphalt pavement with RH-WMA

Gungat, L., Hamzah, M. O., Md Yusoff, N. I. & Goh, S. W., 24 Apr 2019, In : IOP Conference Series: Materials Science and Engineering. 512, 1, 012055.

Research output: Contribution to journalConference article

Open Access
asphalt
Asphalt pavements
Asphalt
Binders
Road construction

Determining the effects of RH-WMA on the engineering properties of bitumen

Mohammed, K. M., Abdalla, I. K., Mohammed, A. H., Khairuddin, F. H., Ibrahim, A. N. H., Rosyidi, S. A. P., Abdullah, M. E. & Md Yusoff, N. I., 1 Mar 2019, In : Jurnal Teknologi. 81, 2, p. 99-111 13 p.

Research output: Contribution to journalArticle

Open Access
Asphalt
Free energy
Viscosity
Adhesion
Binders
1 Citation (Scopus)

Engineering characteristics of nanosilica/polymer-modified bitumen and predicting their rheological properties using multilayer perceptron neural network model

Md Yusoff, N. I., Ibrahim Alhamali, D., Ibrahim, A. N. H., Rosyidi, S. A. P. & Abdul Hassan, N., 20 Apr 2019, In : Construction and Building Materials. 204, p. 781-799 19 p.

Research output: Contribution to journalArticle

asphalt
Multilayer neural networks
Silicon Dioxide
Polymers
Silica