FE-ANN based modeling of 3D Simple Reinforced Concrete Girders for Objective Structural Health Evaluation : Tech Transfer Summary

Rasheed, Hayder

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FE-ANN based modeling of 3D Simple Reinforced Concrete Girders for Objective Structural Health Evaluation : Tech Transfer Summary

2017-06-01
By Rasheed, Hayder

File Language:

English

Details

Creators:

Rasheed, Hayder
Corporate Creators:

Kansas State University. Dept. of Civil Engineering
Corporate Contributors:

Midwest Transportation Center ; United States. Dept. of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Tech Transfer Summary
Corporate Publisher:

Midwest Transportation Center
Abstract:

The objective of this study was to develop an objective, quantitative method for evaluating damage to bridge girders by using artificial neural networks (ANNs). This evaluation method, which is a supplement to visual inspection, requires only the results of limited field measurements to operate.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/34794/dot_34794_DS1.pdf
File Type:

[PDF - 133.58 KB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha256:465d6604f723d2c532820b72e5994f02dc197d8354aa39bf08203347faa9d86d

File Language:

English

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