Bayesian backcalculation of pavement properties using parallel transitional Markov chain Monte Carlo

This paper presents a novel Bayesian method for backcalculation of pavement dynamic modulus, stiffness, thickness, and damping using falling weight deflectometer (FWD) data. The backcalculation procedure yields estimates and uncertainties for each pavement property of interest. As a by‐product of th...

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Vydané v:	Computer-aided civil and infrastructure engineering Ročník 39; číslo 13; s. 1911 - 1927
Hlavní autori:	Coletti, Keaton, Romeo, Ryan C., Davis, R. Benjamin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Hoboken Wiley Subscription Services, Inc 01.07.2024
Predmet:	Algorithms Bayesian analysis Computation Confidence intervals Damping Error analysis Markov chains Microprocessors Pavements Uncertainty
ISSN:	1093-9687, 1467-8667
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