Year: 2024
Type: article
Abstract: The application of machine learning (ML) in civil engineering has experienced rapid growth, primarily due to advancements in data collection, computational power and algorithmic development.This review explores various applications of ML in civil engineering fields, including structural health monitoring (SHM), construction management, geotechnical engineering, transportation systems, and water resources.By providing case studies and identifying challenges, this article underscores ML's transformative potential in optimizing design, predicting failures, and improving project management.
Author: Dungar Singh
Language: English
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4404188103