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Publications

Our distinguished faculty actively research and publish in major peer-reviewed publications. Read more about their findings by selecting one of the abstracts below.   

 

2019

Technical Report (2)

  • Masada, T., Sargand, S., Abdalla, B., Figueroa, L. Materials Properties for Implementation of Mechanistic-Empirical (M-E) Pavement Design Procedures, Final Report. Ohio Department of Transportation/Federal Highway Administration.
  • Masada, T. Shear Strength of Silt & Clay Embankments.

Research Report (1)

  • Robbins, M., Green, R., Masada, T. (2019). Best Practices for Pavement Restoration of Open Cut Utility Installations/Repairs on Local Roadways in Northern Ohio.

Conference Proceeding (3)

  • Tatari, M., Kucukvar, M. Evaluating eco-efficiency of construction materials: a frontier approach. 2011 ASCE International Workshop of Computing in Civil Engineering.
  • Tatari, M., Kurmapu, D. Sustainability assessment of highways: a data envelopment analysis. Second International Congress on Sustainability Science and Engineering.
  • Tatari, M., Kurmapu, D. Sustainability assessment of highways: a malmquist index of U.S. states. IEEE.

Journal Article, Academic Journal (6)

  • Mounir, A., Che, D., Cesar, G., Agustin, R. (2019). Development of a Reservoir System Operation Model for Water Sustainability in the Yaqui River Basin. Reston, VA: Journal of Water Resources Planning and Management.
  • Herman, L. Analysis of Strategies to Control Traffic Noise at the Source: Implications for Policy Makers. 1626. Washington, DC: National Academy of Sciences, Transportation Research Board.
  • Herman, L., Clum, C., Finney, M., Pinckney, E. Perception of Traffic Noise Barrier Effectiveness: A Public Opinion Survey of Residents Living Near I-71. 1601. Washington, DC: National Academy of Sciences, Transportation Research Board.
  • Herman, L., Seshadri, S., Pinckney, E. Placement of Sound Absorbing Materials to Control Traffic Noise Reflections at a Highway Underpass. 1670. Washington, DC: National Academy of Sciences, Transportation Research Board.
  • Tatari, M., Kucukvar, M. Cost premium prediction of certified green buildings: a neural network approach. 5. Building and Environment, Elsevier; 46.
  • Tatari, M., Skibniewski, M., , . Empirical analysis of construction enterprise information systems: assessing system integration, critical factors, and benefits. Journal of Computing in Civil Engineering, ASCE.