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...

Full description

Bibliographic Details

Published in:	Computer-aided civil and infrastructure engineering Vol. 39; no. 13; pp. 1911 - 1927
Main Authors:	Coletti, Keaton, Romeo, Ryan C., Davis, R. Benjamin
Format:	Journal Article
Language:	English
Published:	Hoboken Wiley Subscription Services, Inc 01.07.2024
Subjects:	Algorithms Bayesian analysis Computation Confidence intervals Damping Error analysis Markov chains Microprocessors Pavements Uncertainty
ISSN:	1093-9687, 1467-8667
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!