1.

Record Nr.

UNINA9911018856003321

Autore

Najafzadeh Mohammad

Titolo

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

Pubbl/distr/stampa

Reston : , : American Society of Civil Engineers, , 2025

©2025

ISBN

0-7844-8607-7

0-7844-8606-9

Edizione

[1st ed.]

Descrizione fisica

1 online resource (351 pages)

Collana

ASCE Press Series

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Sommario/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.