Publications

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Dey, S. , Chakraborty, S. , & Tesfamariam, S. . (2021). Multi-fidelity approach for uncertainty quantification of buried pipeline response undergoing fault rupture displacements in sand. Computers and Geotechnics, 136, 104197. Elsevier.
Dey, S. , Chakraborty, S. , & Tesfamariam, S. . (2020). Structural performance of buried pipeline undergoing strike-slip fault rupture in 3D using a non-linear sand model. Soil Dynamics and Earthquake Engineering, 135, 106180. Elsevier.
Deng, Y. , Sadiq, R. , Jiang, W. , & Tesfamariam, S. . (2011). Risk analysis in a linguistic environment: a fuzzy evidential reasoning-based approach. Expert systems with applications, 38, 15438–15446. Elsevier.
Demissie, G. , Tesfamariam, S. , & Sadiq, R. . (2017). Prediction of pipe failure by considering time-dependent factors: Dynamic Bayesian belief network model. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 3, 04017017. American Society of Civil Engineers.
Demissie, G. , Tesfamariam, S. , & Sadiq, R. . (2016). Considering soil parameters in prediction of remaining service life of metallic pipes: Bayesian belief network model. Journal of Pipeline Systems Engineering and Practice, 7, 04015028. American Society of Civil Engineers.
Demissie, G. , Tesfamariam, S. , & Sadiq, R. . (2015). Prediction of soil corrosivity index: a Bayesian belief network approach.
De Risi, R. , Goda, K. , & Tesfamariam, S. . (2019). Multi-dimensional damage measure for seismic reliability analysis. Structural safety, 78, 1–11. Elsevier.
De Iuliis, M. , Kammouh, O. , Cimellaro, G. Paolo, & Tesfamariam, S. . (2021). Quantifying restoration time of power and telecommunication lifelines after earthquakes using Bayesian belief network model. Reliability Engineering & System Safety, 208, 107320. Elsevier.
De Iuliis, M. , Cimellaro, G. Paolo, Domaneschi, M. , Tesfamariam, S. , & others, . (2021). Downtime Estimation of Buildings and Infrastructures Using Fuzzy Logic. In The 17th World Conference on Earthquake Engineering (pp. 1–12). Japan Association for Earthquake Engineering.
De Iuliis, M. , Kammouh, O. , Cimellaro, G. Paolo, & Tesfamariam, S. . (2021). Quantifying restoration time of pipelines after earthquakes: Comparison of Bayesian belief networks and fuzzy models. International Journal of Disaster Risk Reduction, 64, 102491. Elsevier.
De Iuliis, M. , Kammouh, O. , Cimellaro, G. P. , & Tesfamariam, S. . (2019). Resilience of the built environment: A methodology to estimate the downtime of building structures using fuzzy logic. Resilient structures and infrastructure, 47–76. Springer.
De Iuliis, M. , Kammouh, O. , Cimellaro, G. Paolo, & Tesfamariam, S. . (2019). Downtime estimation of building structures using fuzzy logic. International journal of disaster risk reduction, 34, 196–208. Elsevier.
De Domenico, D. , Tesfamariam, S. , & Lu, X. . (2022). Smart passive damper design for building structures with higher resilience under uncertain earthquake ground motions. Frontiers in Built Environment, 8, 1074273. Frontiers.
Das, S. , & Tesfamariam, S. . (2023). Reliability Analysis of Stochastic System using Stochastic Spectral Embedding based Probability Density Evolution Method. Procedia Structural Integrity, 44, 1680–1687. Elsevier.
Das, S. , & Tesfamariam, S. . (2023). Wavelet-Neural Network Based Robust Optimization of Self-Centering Viscous Damper for Steel MR Frame. Journal of Earthquake Engineering, 1–18. Taylor & Francis.
Das, S. , & Tesfamariam, S. . (2023). Reliability analysis of structures using probability density evolution method and stochastic spectral embedding surrogate model. Earthquake Engineering & Structural Dynamics. Wiley Online Library.
Das, S. , & Tesfamariam, S. . (2022). State-of-the-art review of design of experiments for physics-informed deep learning. arXiv preprint arXiv:2202.06416.
Das, S. , & Tesfamariam, S. . (2022). Reliability Based Optimal Design of Magnetic Negative Stiffness Damper Based Inerter for Efficient Energy Harvesting.
Das, S. , & Tesfamariam, S. . (2022). Multiobjective design optimization of multi-outrigger tall-timber building: Using SMA-based damper and Lagrangian model. Journal of Building Engineering, 51, 104358. Elsevier.
Das, S. , & Tesfamariam, S. . (2022). Reliability Based Design Optimization of Damped-Outrigger Timber Structure Using Stochastic Spectral Embedding Based Probability Density Evolution Method. In World Conference on Seismic Isolation (pp. 273–284). Springer.

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