A Safe Efficient Sustainable Infrastructure for Built Environment

EasyChair Preprint 10049

Abstract

Civil engineering is a branch of engineering that deals with the design, construction, and maintenance of the built environment, including structures such as buildings, roads, bridges, airports, tunnels, dams, and water treatment plants. Civil engineers are responsible for ensuring that the infrastructure we rely on is safe, efficient, and sustainable. There are chances for complex data analysis methods from machine learning (ML) study due to the expanding size of information databases. Useful uses ML involve organizational and human factors as well as a number of other limitations, making them very distinct from theory or empirical research. Despite the significance of applied ML, little on the subject has been covered in the broader ML literature. I researched real-world ML applications to address this issue and came up with a seven-step method that can direct ML applications in engineering. Relevant ML uses in civil engineering serve to explain the process. Machine learning techniques can be applied to a variety of civil engineering problems, from structural analysis and design to transportation planning and environmental monitoring.

Keyphrases: Civil Engineering, building, environment

@booklet{EasyChair:10049,
  author    = {Fatima Tahir},
  title     = {A Safe Efficient Sustainable Infrastructure for Built Environment},
  howpublished = {EasyChair Preprint 10049},
  year      = {EasyChair, 2023}}