Stochastic Analysis of Network-Level Bridge Maintenance Needs Using Latin Hypercube Sampling-Reference-Cited by-同舟云学术

Stochastic Analysis of Network-Level Bridge Maintenance Needs Using Latin Hypercube Sampling

Published:2021-03 Issue:1 Volume:7 Page:04020049
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:

Politis Stefanos S.¹^ORCID,Zhang Zhanmin²,Han Zhe³^ORCID,Hasenbein John J.⁴,Arellano Miguel⁵

Affiliation:

1. Graduate Research Assistant, Dept. of Civil Architectural and Environmental Engineering, Univ. of Texas at Austin, 301 E Dean Keaton St., Stop C1761, Austin, TX 78712 (corresponding author). ORCID: .

2. Professor, Dept. of Civil Architectural and Environmental Engineering, Univ. of Texas at Austin, 301 E Dean Keaton St., Stop C1761, Austin, TX 78712.

3. Research Associate, Center for Transportation Research, Univ. of Texas at Austin, 3925 West Braker Ln., Austin, TX 78759. ORCID: .

4. Professor, Dept. of Mechanical Engineering, Univ. of Texas at Austin, 204 E Dean Keaton, Austin, TX 78712.

5. Deputy District Engineer, Austin District Headquarters, Texas Dept. of Transportation, 7901 N Interstate Hwy. 35, Austin, TX 78753.

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/AJRUA6.0001099

Reference31 articles.

1. ASCE. 2017. “Official website of the American society of civil engineers.” Accessed July 25 2019. https://www.infrastructurereportcard.org/cat-item/bridges/.

2. Batouli M. and A. Mostafavi. 2014. “A hybrid simulation framework for integrated management of infrastructure networks.” In Proc. Winter Simulation Conf. 2014 3319–3330. New York: IEEE.

3. A multi-year pavement maintenance program using a stochastic simulation-based genetic algorithm approach

4. New approach to the design of multifactor experiments;Eglajs V.;Prob. Dyn. Strengths,1977

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