Deterioration rates of typical bridge elements in New York

AK Agrawal, A Kawaguchi, Z Chen - Journal of Bridge Engineering, 2010 - ascelibrary.org
The New York State Department of Transportation (NYSDOT) maintains an inventory of over
17,000 highway bridges across the state. These bridges are inspected biennially or more …

Bridge condition rating data modeling using deep learning algorithm

H Liu, Y Zhang - Structure and Infrastructure Engineering, 2020 - Taylor & Francis
This paper presents a deep learning-based bridge condition rating data modeling approach
using selected data from the National Bridge Inventory (NBI) database. The objective of this …

Modeling bridge deterioration using case-based reasoning

G Morcous, H Rivard, AM Hanna - Journal of Infrastructure Systems, 2002 - ascelibrary.org
Current bridge deterioration models used in bridge management systems are not successful
in capturing the effects of bridge condition history on future condition, in performing “what if” …

Developing bridge deterioration models using an artificial neural network

E Althaqafi, E Chou - Infrastructures, 2022 - mdpi.com
The condition of a bridge is critical in quality evaluations and justifying the significant costs
incurred by maintaining and repairing bridge infrastructures. Using bridge management …

Bridge element deterioration rates

AK Agrawal, A Kawaguchi, Z Chen - 2008 - rosap.ntl.bts.gov
This report describes the development of bridge element deterioration rates using the
NYSDOT bridge inspection database using Markov chains and Weibull-based approaches …

Bridge deterioration models to support Indiana's bridge management system

M Moomen, Y Qiao, BR Agbelie, S Labi, KC Sinha - 2016 - docs.lib.purdue.edu
An effective bridge management system that is equipped with reliable deterioration models
enables agency engineers to carry out monitoring and long-term programming of bridge …

An application of convolutional neural network for deterioration modeling of highway bridge components in the United States

H Liu, J Nehme, P Lu - Structure and Infrastructure Engineering, 2023 - Taylor & Francis
This paper presents a deep learning-aided deterioration modeling approach for highway
bridge components (ie, decks, superstructures, and substructures). The method trains a set …

Modelling railway bridge asset management

B Le, J Andrews - … of the Institution of Mechanical Engineers …, 2013 - journals.sagepub.com
Railway bridges form one of the major railway asset groups with more than 35,000 bridges
on the UK rail network. Additionally, the bridge structures are old with more than 50% of the …

Modeling deterioration of bridge components with binary probit techniques with random effects

Y Qiao, M Moomen, Z Zhang… - Transportation …, 2016 - journals.sagepub.com
Highway agencies use deterioration models to monitor the performance of bridge
components (deck, superstructure, and substructure) and to predict their remaining service …

[图书][B] Effect of truck weight on bridge network costs

G Fu - 2003 - books.google.com
Page 1 NCHRP REPORT 495 NATIONAL COOPERATIVE HIGHWAY RESEARCH PROGRAM
Effect of Truck Weight on Bridge Network Costs TRANSPORTATION RESEARCH BOARD OF …