Civil, Environmental and Sustainable Engineering

Recent studies highlight the application of artificial intelligence, machine learning, and simulation techniques in engineering. This book covers the successful implementation of different intelligent techniques in various areas of engineering focusing on common areas between mechatronics and civil engineering. The power of artificial intelligence and machine learning techniques in solving some examples of real-life problems in engineering is highlighted in this book. The implementation process to design the optimum intelligent models is discussed in this book.

This book offers a comprehensive overview of machine learning techniques applied to civil engineering. It covers both theoretical and practical aspects across key areas such as water resources, geotechnical engineering, construction management, and coastal engineering. Real-world applications include forecasting droughts, river flows, evaporation, groundwater levels, and modeling concrete strength. The book also features MATLAB® exercises and provides guidance on selecting and applying machine learning methods for solving complex civil engineering problems. It's a valuable resource for professionals and researchers interested in integrating data analytics into civil engineering practice.

"Management Essentials for Civil Engineers" is a practical guide that bridges engineering expertise with key project management and business skills. Aimed at helping civil engineers succeed beyond technical design, the book covers essential topics such as leadership, risk management, contract law, communication, and value creation. It emphasizes aligning project execution with stakeholder goals and viewing projects within broader systems like programs and portfolios. Tailored specifically for civil engineering contexts, including infrastructure and real estate, the book uses a narrative thread to connect theoretical concepts with real-world applications. Authored by experts in engineering, law, and business, it offers an interdisciplinary perspective and actionable insights for managing complex civil engineering projects effectively.

"Mathematics for Civil Engineers" offers a clear, informal introduction to essential mathematical concepts relevant to civil engineering. With over 150 step-by-step examples and numerous exercises, the book builds foundational skills without relying on theorems. Topics range from basic functions, vectors, and calculus to advanced subjects like differential equations, Fourier and Laplace transforms, and optimization. Many examples are drawn directly from real civil engineering scenarios—such as beam buckling, elasticity, and heat transfer—making the content highly practical. Designed for undergraduates and professionals alike, this book helps readers confidently apply mathematics to real-world engineering problems.

This book offers a beginner-friendly introduction to the finite element analysis software DIANA, widely used in civil and structural engineering. It simplifies the underlying theory to help new users quickly grasp the software's functions and capabilities. Covering both the graphical user interface and Python-based command console, the book includes practical modeling examples for hands-on learning. Suitable for students and researchers, it supports applications across various structural engineering fields, including bridges, tunnels, geotechnical, municipal, and fire engineering.