Using Soft Computing to Analyze Inspection Results for Bridge Evaluation and Management-Reference-Cited by-同舟云学术

Using Soft Computing to Analyze Inspection Results for Bridge Evaluation and Management

Published:2010-07 Issue:4 Volume:15 Page:430-438
ISSN:1084-0702
Container-title:Journal of Bridge Engineering
language:en
Short-container-title:J. Bridge Eng.

Author:

Li Zhe¹²,Burgueño Rigoberto¹²

Affiliation:

1. Structural Engineer, Skidmore, Owings & Merrill LLP, 224 South Michigan Ave., Chicago, IL 60604.

2. Associate Professor, Dept. of Civil and Environmental Engineering, 3546 Engineering Building, Michigan State Univ., East Lansing, MI 48824-1226; and, Dept. of Civil and Environmental Engineering, 3574 Engineering Building, Michigan State Univ., East Lansing, MI 48824-1226 (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29BE.1943-5592.0000072

Reference43 articles.

1. ASCE. (2005). “Report card for America’s infrastructure.” ⟨http://www.asce.org/reportcard/2005/index2005.cfm⟩ (May 16 2007).

2. Bagging predictors

3. Heuristics of instability and stabilization in model selection

4. Burgueño R. and Li Z. (2008). “Identification of causes and development of strategies for relieving structural distress in bridge abutments.” Research report for Michigan Department of Transportation (MDOT) Rep. No. CEE-RR–2008/02 Dept. of Civil and Environmental Engineering Michigan State Univ. East Lansing Mich.

5. Analysis of Bridge Condition Rating Data Using Neural Networks

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