Negin Yousefpour

Stiffness and Strength of Stabilized Organic Soils-Part I/II: Experimental Database and Statistical Description for Machine Learning Modelling

Francisco G Hernandez-Martinez, Abir Al-Tabbaa, Zenon Medina-Cetina, Negin Yousefpour

Journal article  |  2021  |  GEOSCIENCES

This paper presents the experimental database and corresponding statistical analysis (Part I), which serves as a basis to perform ..

Stiffness and Strength of Stabilized Organic Soils—Part II/II: Parametric Analysis and Modeling with Machine Learning

Negin Yousefpour, Zenon Medina-Cetina, Francisco G Hernandez-Martinez, Abir Al-Tabbaa

Journal article  |  2021  |  Geosciences

Predicting the range of achievable strength and stiffness from stabilized soil mixtures is critical for engineering design and con..

Machine Learning Solutions for Bridge Scour Forecast Based on Monitoring Data

Negin Yousefpour, Steve Downie, Steve Walker, Nathan Perkins, Hristo Dikanski

Journal article  |  2021  |  Transportation Research Record: Journal of the Transportation Research Board

Bridge scour is a challenge throughout the U.S.A. and other countries. Despite the scale of the issue, there is still a substantia..

Probabilistic evaluation of unknown foundations for scour susceptible bridges

Z Medina-Cetina, N Yousefpour, JL Briaud

Journal article  |  2020  |  Journal of Bridge Engineering

By 2005, approximately 60,000 bridges throughout the US were identified as having unknown foundations. The Federal Highway Adminis..

Nonlinear Dynamic Analysis of Track Embankments for High-Speed Trains

N Yousefpour, E Almog

Conference Proceedings  |  2019  |  Geotechnical Special Publication

With the first high speed trains (HST) emerging in the United States, it is critical to develop better understanding of the design..

Application of Machine Learning in Geotechnics

Negin Yousefpour, Sogol Fallah

Conference Proceedings  |  2018  |  Civil Engineering Research in Ireland 2018: Conference Proceedings

Machine learning (ML) is an Artificial Intelligence (AI) field of study that allows computers to learn from existing data without ..

Evaluation of unknown foundations of bridges subjected to scour physically driven artificial neural network approach

N Yousefpour, Z Medina-Cetina, JL Briaud

Journal article  |  2014  |  Transportation Research Record

Missing substructure information has impeded the safety assessment of bridges with unknown foundations, especially for scour-prone..

Electrical resistivity imaging of unknown bridge foundations

R Arjwech, ME Everett, J-L Briaud, S Hurlebaus, Z Medina-Cetina, S Tucker, N Yousefpour

Journal article  |  2013  |  NEAR SURFACE GEOPHYSICS

Unknown bridge foundations pose a significant safety risk due to stream scour and erosion. Records from older structures may be no..

Determination of unknown foundation of bridges for scour evaluation using artificial neural networks

N Yousefpour, Z Medina-Cetina, K Jahedkar, J Delphia, JL Briaud, S Hurlebaus, S Tucker, M Everett, R Arjwech

Conference Proceedings  |  2011  |  Geotechnical Special Publication

There are approximately sixty thousand bridges throughout the US identified with unknown foundations, which results in serious pro..

3-D resistivity imaging of buried concrete infrastructure with application to unknown bridge foundation depth determination

ME Everett, R Arjwech, J Briaud, S Hurlebaus, Z Medina-Cetina, S Tucker, Negin Yousefpour

Conference Proceedings  |  2010  |  AGUFM proceedings

Bridges are always vulnerable to scour and those mainly older ones with unknown foundations constitute a significant risk to publi..