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Items where City Author is "Micic, T."

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Liu, Z., Geng, Y., Dong, H. , Wilson, J., Micic, T., Wu, R., Cui, X., Qian, Y., You, W. & Sun, H. (2018). Efficient distribution of carbon emissions reduction targets at the city level: A case of Yangtze River Delta region. Journal of Cleaner Production, 172, pp. 1711-1721. doi: 10.1016/j.jclepro.2017.12.033

Asenov, M., Mojsilović, N. & Micic, T. (2016). Reliability of masonry walls subjected to in-plane loading: A slip failure along head joints / Zuverlässigkeit von Mauerwerkswänden bei Belastung in der Ebene: Versagen entlang der Stoßfugenflucht. Mauerwerk, 20(4), pp. 271-283. doi: 10.1002/dama.201600700

Micic, T., Stojic, D., Stankovic, M. & Velimirovic, N. (2016). Gamma process model for timber-concrete composite beam deterioration prediction. Wood Research, 61(3), pp. 373-385.

Micic, T. (2016). Risk reality vs risk perception. Journal of Risk Research, 19(10), pp. 1261-1274. doi: 10.1080/13669877.2015.1121900

Ohadi, A. & Micic, T. (2014). Imperfect inspection characterization for gamma process structural deterioration model. In: Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures. (pp. 4033-4039). UK: CRC Press.

Preziosi, M.C. & Micic, T. (2014). An adaptive methodology for risk classification of small homogeneous earthfill embankment dams integrating climate change projections. Civil Engineering and Environmental Systems, 31(2), pp. 111-124. doi: 10.1080/10286608.2014.912639

Micic, T. (2013). Risk perception vs. risk reality. Paper presented at the 11th International Conference on Structural Safety and Reliability for Integrating Structural Analysis, Risk and Reliability, 16 - 20 June 2013, New York, USA.

Micic, T., Velimirovic, N. & Stojic, D. (2013). Stochastic process model for timber-concrete composite beam deterioration. Paper presented at the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013, 16-06-2013 - 20-06-2013, Columbia University, New York, USA.

Preziosi, M-C. & Micic, T. (2012). Embankment dam probabilistic assessment for climate scenarios. Proceedings of the ICE - Geotechnical Engineering, 165(3), pp. 179-193. doi: 10.1680/geng.11.00038

Ohadi, A. & Micic, T. (2011). Stochastic process deterioration modelling for adaptive inspections. In: Applications of Statistics and Probability in Civil Engineering. (pp. 322-326). UK: CRC Press.

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