Dulcy M. Abraham

Probabilistic modelling of pavement performance has become increasingly popular as it considers the stochastic nature of pavement behaviour and deterioration, as well as the imperfections and limitations of pavement condition data. Markov chains are extensively employed to simulate the probabilistic performance of pavements using numerous methodological tweaks. The existing literature lacks a synthesis of Markov chain models and their associated methodologies.

Preprint Review Version 1 This version is not peer-reviewed Version 1 : Received: 23 July 2024 / Approved: 23 July 2024 / Online: 24 July 2024 (16:47:02 CEST) Yamany, M. S.; Abraham, D. M.; Nantung, T. E.; Labi, S. Review of Probabilistic Modeling of Pavement Performance Using Markov Chains. Preprints 2024, 2024071863. https://doi.org/10.20944/preprints202407.1863.v1 Yamany, M. S.; Abraham, D. M.; Nantung, T. E.; Labi, S. Review of Probabilistic Modeling of Pavement Performance Using Markov Chains.

Downloaded 87 times Technical Papers Abstract Among the various diameter classes of ductile iron pipe (DIP) used in water distribution systems, small-diameter pipes [i.e., pipes with a diameter less than or equal to 305 mm (12 in.)] represent the largest proportion in use by length. Because small-diameter DIPs have thinner pipe walls, penetrations attributable to corrosion occur more rapidly, resulting in a higher susceptibility to corrosion-related failures compared to DIPs of larger diameters.