Publications

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Author [ Title(Desc)] Type Year
G
Balekelayi, N. , & Tesfamariam, S. . (2019). Geoadditive Bayesian regression models for water mains failure rate prediction. In Proceedings of the 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP13, Seoul, Korea (pp. 26–30).
Balekelayi, N. , & Tesfamariam, S. . (2020). Geoadditive quantile regression model for sewer pipes deterioration using boosting optimization algorithm. Sustainability, 12, 8733. MDPI.
Alam, M. N. , Tesfamariam, S. , & M Alam, S. . (2013). GIS-based seismic damage estimation: case study for the City of Kelowna, BC. Natural Hazards Review, 14, 66–78. American Society of Civil Engineers.
Balekelayi, N. , & Tesfamariam, S. . (2019). Graph-theoretic surrogate measure to analyze reliability of water distribution system using Bayesian belief network–based data fusion technique. Journal of Water Resources Planning and Management, 145, 04019028. American Society of Civil Engineers.
H
Tesfamariam, S. , & Goda, K. . (2013). Handbook of seismic.
Tesfamariam, S. , & Goda, K. . (2013). Handbook of seismic risk analysis and management of civil infrastructure systems. Elsevier.
Woldesellasse, H. , & Tesfamariam, S. . (2021). Handling incomplete and missing data in corrosion pit measurement database using imputation methods: model development using artificial neural network. Journal of Pipeline Systems Engineering and Practice, 12, 04021033. American Society of Civil Engineers.
Kabir, G. , Tesfamariam, S. , Hemsing, J. , & Sadiq, R. . (2020). Handling incomplete and missing data in water network database using imputation methods. Sustainable and Resilient Infrastructure, 5, 365–377. Taylor & Francis.
Buriticá, J. Ana Marıa, Sanchez-Silva, M. , & Tesfamariam, S. . (2017). Hierarchical seismic vulnerability assessment of power transmission systems: sensitivity analysis of fragility curves and clustering algorithms. Canadian Journal of Civil Engineering, 44, 80–89. NRC Research Press.
Cortés, J. A. M. Buritic, Sanchez-Silva, M. , & Tesfamariam, S. . (2015). A hierarchy-based approach to seismic vulnerability assessment of bulk power systems. Structure and Infrastructure Engineering, 11, 1352–1368. Taylor & Francis.
Sewasew, Y. , & Tesfamariam, S. . (2023). Historic building information modeling using image: Example of port city Massawa, Eritrea. Journal of Building Engineering, 78, 107662. Elsevier.
Shen, Y. - L. , Schneider, J. , Tesfamariam, S. , Stiemer, S. F. , & Mu, Z. - G. . (2013). Hysteresis behavior of bracket connection in cross-laminated-timber shear walls. Construction and Building Materials, 48, 980–991. Elsevier.
I
Tesfamariam, S. , & Goda, K. . (2017). Impact of earthquake types and aftershocks on loss assessment of non-code-conforming buildings: case study with Victoria, British Columbia. Earthquake spectra, 33, 551–579. SAGE Publications Sage UK: London, England.
Tesfamariam, S. , & Rajani, B. . (2004). Impact of uncertainties on the translation of remaining pipe wall thickness to structural capacity. INFRA 2004 urban infrastructure: Managing the assets, mastering the technology.
Iqbal, H. , Waheed, B. , Tesfamariam, S. , & Sadiq, R. . (2018). IMPAKT: Oil and gas pipeline integrity management program assessment. Journal of Pipeline Systems Engineering and Practice, 9, 06018003. American Society of Civil Engineers.
Zhu, R. , Guo, T. , & Tesfamariam, S. . (2022). Inelastic displacement demand for non-degrading bilinear SDOF oscillators with self-centering viscous-hysteretic devices. Journal of Building Engineering, 48, 104010. Elsevier.
Takewaki, I. , Kohiyama, M. , Trombetti, T. , Tesfamariam, S. , & Lu, X. . (2019). Innovative methodologies for resilient buildings and cities. Frontiers in built environment, 5, 94. Frontiers Media SA.
Iqbal, H. , Tesfamariam, S. , Haider, H. , & Sadiq, R. . (2017). Inspection and maintenance of oil & gas pipelines: a review of policies. Structure and Infrastructure Engineering, 13, 794–815. Taylor & Francis.
Kabir, G. , Tesfamariam, S. , Loeppky, J. , & Sadiq, R. . (2015). Integrating Bayesian linear regression with ordered weighted averaging: Uncertainty analysis for predicting water main failures. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 1, 04015007. American Society of Civil Engineers.
Kabir, G. , Demissie, G. , Sadiq, R. , & Tesfamariam, S. . (2015). Integrating failure prediction models for water mains: Bayesian belief network based data fusion. Knowledge-Based Systems, 85, 159–169. Elsevier.

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