Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Artificial Neural Network (2)
- Artifical Neural Netwok (1)
- Average Square Error (1)
- Bearings (1)
- Bridges (1)
-
- Climate Attributes (1)
- Coefficient of Determination (1)
- Concrete Highway Pavements (1)
- Correlation (1)
- Electrical resistivity (1)
- Geotechnical parameters (1)
- Graphical User Interface (1)
- International Roughness Index (1)
- Long Term Pavement Performance (1)
- Mean Absolute Relative Error (1)
- Mississippi (1)
- Non-linear (1)
- Pavement Performance Modeling (1)
- Pier (1)
- Seismic (1)
- Seismic wave velocity (1)
- Survey Design (1)
Articles 1 - 4 of 4
Full-Text Articles in Engineering
Computational Modeling Of Climate Attributes And Condition Deterioration Of Concrete Highway Pavements, Salma Sultana
Computational Modeling Of Climate Attributes And Condition Deterioration Of Concrete Highway Pavements, Salma Sultana
Electronic Theses and Dissertations
An efficient and safe road network secures the nation’s economy and prosperity by providing public mobility and freight transport. Maintenance and rehabilitation of the road network cost billions of dollars annually. Road and highway infrastructures performance in any country is impacted by load repetitions and it is further compromised by climate attributes and extreme weather events. Damages to roads and bridges are among the infrastructure failures that have occurred during these extreme events. If maintenance and rehabilitation are not done promptly, the damages to the road caused by heavy traffic and extreme climate may lead to life-threatening conditions for road …
Effectiveness Of Seismic Bearings On A Typical Isolated Two-Column Rc Bridge Pier Located In North Mississippi, Hemant Raj Joshi
Effectiveness Of Seismic Bearings On A Typical Isolated Two-Column Rc Bridge Pier Located In North Mississippi, Hemant Raj Joshi
Electronic Theses and Dissertations
The 2020 ASCE infrastructure report card has assigned a letter grade of D- for bridges in Mississippi based on poor to fair condition ratings with many approaching the end of their useful service lives. Bridges in northern Mississippi lie up to 100 miles from the New Madrid Fault and fall into the Region 3 Seismic Performance Category defined by AASHTO. The primary objective of this study is to evaluate the performance of commercially available bridge bearings on a common bridge pier type used in northern MS under the combined action of superstructure gravity and lateral seismic loads. The use of …
Forecasting Geotechnical Parameters From Electrical Resistivity And Seismic Wave Velocities Using Artificial Neural Network Models, Fatema Tuz Johora
Forecasting Geotechnical Parameters From Electrical Resistivity And Seismic Wave Velocities Using Artificial Neural Network Models, Fatema Tuz Johora
Electronic Theses and Dissertations
Geotechnical measurements of soil parameters used in the design of infrastructure provide information at a specific point of the ground. The use of limited point data may result in greater uncertainty and less reliability in design. Geophysical methods are non-invasive, less time-consuming, and provide continuous spatial information about the soil. However, geophysical information is not in terms of engineering parameters. Correlations between geotechnical parameters and geophysical parameters are needed to facilitate the use of geophysical information in geotechnical designs. The current research is focused on two geophysical methods; electrical resistivity (ER) and seismic wave velocity (S-wave and P-wave). Artificial neural …
Electromagnetic Survey Design Using Artifical Neural Networks, Shariful Islam Sharif
Electromagnetic Survey Design Using Artifical Neural Networks, Shariful Islam Sharif
Electronic Theses and Dissertations
Acquiring geophysical information requires selection of the geophysical method based upon the defining physical property and a survey design with adequate resolution but cost effective based upon the size of the area to be surveyed. The objective of this study is to use artificial neural nets (ANNs) to design an optimal survey. The developed approach is tested for the case of soil pipe surveying using electromagnetics. Soil pipes are tortuous voids located within 1.5 m depth of the ground surface. They trend perpendicular to the slope and have cross-sectional dimensions on the order of millimeters to tens of centimeters. The …