Publications

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Author [ Title(Asc)] Type Year
C
Tesfamariam, S. , Sadri, A. , & Thomas, M. . (2006). Combined stress wave techniques to estimate concrete strength. Materials evaluation, 64, 1173–1179.
Dickof, C. , Stiemer, S. F. , Bezabeh, M. A. , & Tesfamariam, S. . (2014). CLT–steel hybrid system: Ductility and overstrength values based on static pushover analysis. Journal of Performance of Constructed Facilities, 28, A4014012. American Society of Civil Engineers.
Balekelayi, N. . (2020). Closure to “Graph-Theoretic Surrogate Measure to Analyze Reliability of Water Distribution System Using Bayesian Belief Network–Based Data Fusion Technique” by Ngandu Balekelayi and Solomon Tesfamariam. Journal of Water Resources Planning and Management, 146. ASCE-AMER SOC CIVIL ENGINEERS 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA.
Abebe, Y. , & Tesfamariam, S. . (2019). Climate change impact and adaptation for urban drainage systems. In Climate adaptation engineering (pp. 73–98). Elsevier.
B
Alam, N. , M Alam, S. , & Tesfamariam, S. . (2012). Buildings’ seismic vulnerability assessment methods: a comparative study. Natural hazards, 62, 405–424. Springer.
Hirpa, D. , Hare, W. , Lucet, Y. , Pushak, Y. , & Tesfamariam, S. . (2016). A bi-objective optimization framework for three-dimensional road alignment design. Transportation Research Part C: Emerging Technologies, 65, 61–78. Elsevier.
Iqbal, H. , Haider, H. , Waheed, B. , Tesfamariam, S. , & Sadiq, R. . (2022). Benchmarking of oil and gas pipeline companies in British columbia: integrating integrity management program and safety culture using a risk-based approach. Engineering Management Journal, 34, 526–542. Taylor & Francis.
Franchin, P. , Lupoi, A. , Noto, F. , & Tesfamariam, S. . (2015). A Bayesian network model to assess seismic risk of reinforced concrete girder bridges.
Kabir, G. , Tesfamariam, S. , & Sadiq, R. . (2016). Bayesian model averaging for the prediction of water main failure for small to large Canadian municipalities. Canadian Journal of Civil Engineering, 43, 233–240. NRC Research Press.
Balekelayi, N. , & Tesfamariam, S. . (2023). Bayesian geoadditive water pipe failure forecasting model by optimizingthe updating period. Journal of Hydroinformatics, 25, 1–19. IWA Publishing.
Tesfamariam, S. , & Martín-Pérez, B. . (2008). Bayesian belief network to assess carbonation-induced corrosion in reinforced concrete. Journal of Materials in Civil Engineering, 20, 707–717. American Society of Civil Engineers.
A
Schneider, J. , Shen, Y. , Stiemer, S. F. , & Tesfamariam, S. . (2015). Assessment and comparison of experimental and numerical model studies of cross-laminated timber mechanical connections under cyclic loading. Construction and Building Materials, 77, 197–212. Elsevier.
Abebe, Y. , Kabir, G. , & Tesfamariam, S. . (2018). Assessing urban areas vulnerability to pluvial flooding using GIS applications and Bayesian Belief Network model. Journal of Cleaner Production, 174, 1629–1641. Elsevier.
Tesfamariam, S. , & Vanier, D. J. . (2005). The Analytical hierarchy process for eliciting decision preferences in asset management. INFRA 2005 Urban Infrastructure: Managing the Assets, Mastering the Technology, 1–31.
Das, S. , Sadiq, R. , & Tesfamariam, S. . (2011). An aggregative fuzzy risk analysis for flood incident management. International Journal of System Assurance Engineering and Management, 2, 31–40. Springer.
Tesfamariam, S. , & Najjaran, H. . (2007). Adaptive network–fuzzy inferencing to estimate concrete strength using mix design. Journal of Materials in Civil Engineering, 19, 550–560. American Society of Civil Engineers.
Cheng, Y. , Chang, Y. , Dai, K. , Wang, J. , Tesfamariam, S. , & Damatty, A. El. (2023). An accuracy-improved approach to establish design response spectra for wind turbines. Soil Dynamics and Earthquake Engineering, 173, 108067. Elsevier.

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