Bridge condition modelling and prediction using dynamic Bayesian belief networks

MI Rafiq; MK Chryssanthopoulos; S Sathananthan

doi:10.1080/15732479.2013.879319

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Bridge condition modelling and prediction using dynamic Bayesian belief networks

Journal article

Peer reviewed

Bridge condition modelling and prediction using dynamic Bayesian belief networks

MI Rafiq, MK Chryssanthopoulos and S Sathananthan

STRUCTURE AND INFRASTRUCTURE ENGINEERING, Vol.11(1), pp.38-50

02/01/2015

DOI: https://doi.org/10.1080/15732479.2013.879319

Abstract

Science & Technology

Technology

Engineering

Civil

Engineering

Mechanical

Engineering

maintenance planning

Bayesian belief network

deterioration modelling

masonry arch bridges

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Title: Bridge condition modelling and prediction using dynamic Bayesian belief networks
Creators: MI Rafiq
MK Chryssanthopoulos
S Sathananthan
Publication Details: STRUCTURE AND INFRASTRUCTURE ENGINEERING, Vol.11(1), pp.38-50
Publisher: TAYLOR & FRANCIS LTD
Date published: 02/01/2015
Date submitted: 17/05/2017
Identifiers: 99512695802346
Academic Unit: University of Surrey
Language: English
Resource Type: Journal article

Bridge condition modelling and prediction using dynamic Bayesian belief networks

Abstract

Files and links (1)

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