Prediction of Structural Deficiency Ratio of Bridges Based on Multiway Data Factorization-Reference-Cited by-同舟云学术

Prediction of Structural Deficiency Ratio of Bridges Based on Multiway Data Factorization

Published:2017-06 Issue:2 Volume:3 Page:
ISSN:2376-7642
Container-title:ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
language:en
Short-container-title:ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng.

Author:

Adarkwa Offei¹,Attoh-Okine Nii²

Affiliation:

1. Graduate Student, Dept. of Civil and Environmental Engineering, Univ. of Delaware, 301 Du Pont Hall, Newark, DE 19716.

2. Professor, Dept. of Civil and Environmental Engineering, Univ. of Delaware, 301 Du Pont Hall, Newark, DE 19716 (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/AJRUA6.0000882

Reference33 articles.

1. Unsupervised Multiway Data Analysis: A Literature Survey

2. Adarkwa O. Schumacher T. and Attoh-Okine N. O. (2014). “Multiway analysis of bridge structural types in the national bridge inventory (NBI)—A tensor decomposition approach.” 〈http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7004423〉 (Mar. 18 2015).

3. Deterioration Rates of Typical Bridge Elements in New York

4. ASCE. (2013). “2013 Report card for America’s infrastructure: Bridges.” 〈http://www.infrastructurereportcard.org/a/documents/Bridges.pdf〉 (Mar. 9 2015).

5. A Bayesian belief network model of bridge deterioration

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