Scouring at Bridge Piers Using Artificial Intelligence Models: Implementation and Prediction - Brossura

Najafzadeh, Mohammad

Brossura

ISBN 10: 0784416338 ISBN 13: 9780784416334

Casa editrice: Amer Society of Civil Engineers, 2025

Riassunto

Author Mohammad Najafzadeh evaluates the effectiveness of four AI models—Gene-Expression Programming (GEP), Evolutionary Polynomial Regression (EPR), Model Tree (MT), and Multivariate Adaptive Regression Spline (MARS)—in predicting local scour depth at bridge piers, emphasizing their physical consistency and interpretability compared to traditional methods.

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Informazioni sull'autore

Mohammad Najafzadeh is an associate professor at the Department of Water Engineering, Faculty of Civil and Surveying Engineering, at the Graduate University of Advanced Technology. He has more than 15 years of professional experience researching sediment transport in ocean and coastal environments, with a focus on scouring at bridge piers, and surface water and groundwater quality using machine learning, remote sensing, and GIS. He has collaborated on numerous international research projects and was selected as Reviewer of the Year in 2019 for the International Water Association’s (IWA) Journal of Water Science and Technology. He currently serves on the editorial board of four journals including ASCE’s Journal of Pipeline System Engineering and Practice, Elsevier’s Ocean Engineering, Springer’s Earth Science Informatics, and Taylor & Francis’ Marine Georesources and Geotechnology.

Dettagli dell'edizione

• Editore: Amer Society of Civil Engineers
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 10: 0784416338
• ISBN 13: 9780784416334
• Rilegatura: Copertina flessibile
• Numero di pagine: 428
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile