A Primer on Machine Learning Applications in Civil Engineering

1st Edition

Paresh Chandra Deka

CRC Press
November 14, 2019 Forthcoming
Reference - 258 Pages - 67 Color & 46 B/W Illustrations
ISBN 9781138323391 - CAT# K392070

For Instructors Request Inspection Copy


Available for Pre-Order. This item will ship after November 14, 2019
Add to Wish List
FREE Standard Shipping!


Machine learning has undergone rapid growth in diversification and practicality, and the repertoire of techniques has evolved and expanded. The aim of this book is to provide a broad overview of the available machine-learning techniques that can be utilized for solving civil engineering problems. The fundamentals of both theoretical and practical aspects are discussed in the domains of water resources/hydrological modeling, geotechnical engineering, construction engineering and management, and coastal/marine engineering. Complex civil engineering problems such as drought forecasting, river flow forecasting, modeling evaporation, estimation of dew point temperature, modeling compressive strength of concrete, ground water level forecasting, and significant wave height forecasting are also included.


  • Exclusive information on machine learning and data analytics applications with respect to civil engineering
  • Includes many machine learning techniques in numerous civil engineering disciplines
  • Provides ideas on how and where to apply machine learning techniques for problem solving
  • Covers water resources and hydrological modeling, geotechnical engineering, construction engineering and management, coastal and marine engineering, and geographical information systems
  • Includes MATLAB® exercises


We provide complimentary e-inspection copies of primary textbooks to instructors considering our books for course adoption.

Request an
e-inspection copy

Share this Title