Data-Driven Bridge Management Using Descriptive and Predictive Machine Learning Models [Research Brief]

Banaei-Kashani, Farnoush; Rens, Kevin; Martinez, Jessica; Butler, Natasha; Tran, Thien; University of Colorado at Denver

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Data-Driven Bridge Management Using Descriptive and Predictive Machine Learning Models [Research Brief]

2022-07-01
By Banaei-Kashani, Farnoush ; Rens, Kevin ; Martinez, Jessica ; ...

[PDF-190.58 KB]

English

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Details:

Alternative Title:

Managing Bridges with Artificial Intelligence Modeling
Creators:

Banaei-Kashani, Farnoush ; Rens, Kevin ; Martinez, Jessica ; Butler, Natasha ; Tran, Thien

Banaei-Kashani, Farnoush ; Rens, Kevin ; Martinez, Jessica ; Butler, Natasha ; Tran, Thien Less -
Corporate Creators:

University of Colorado at Denver
Corporate Contributors:

Colorado. Dept. of Transportation. Research Branch
Subject/TRT Terms:

[+]

Artificial Intelligence Bridge Deterioration Forecast Bridge Engineering Bridge Family Generation Cost Effectiveness Data-Driven Data Management Data Processing Operations Deep Learning Model Forecasting Highway Bridges Infrastructure Machine Learning Structural Health Monitoring
Resource Type:

Brief
Geographical Coverage:

Colorado ; United States

Colorado ; United States Less -
Edition:

Research Brief
Corporate Publisher:

Colorado. Dept. of Transportation. Research Branch
Abstract:

Since the 1970’s, several U.S. Acts have mandated all local and state transportation agencies across the nation to perform regular inspections of the bridges (and culverts) in their jurisdiction. These have generated valuable historical databases of bridge performance data which have remained considerably underutilized.
Format:

PDF
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha-512:b2589922df694c4548e0435782d407b5243934db9cf903c30663735d4a0421e600dd7f88d2fa2f56cd5307f0bd9215b50eb0a2edf5a6df7e264ff77da44d1a29
Download URL:

https://rosap.ntl.bts.gov/view/dot/78721/dot_78721_DS1.pdf
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Data-Driven Bridge Management Using Descriptive and Predictive Machine Learning Models [Research Brief]

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