Matlab For Civil Engineers
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MATLAB for Civil Engineers
Author: Dimitrios Sargiotis
language: en
Publisher: Springer Nature
Release Date: 2025-05-21
This book is a comprehensive and rigorous guide to MATLAB for Civil Engineers, bridging the critical gap between theoretical mathematics and practical engineering solutions. With an approachable introduction for students and deep insights for experienced professionals, it caters to a wide range of audiences across civil engineering disciplines—environmental, structural, geotechnical, and transportation engineering. Structured to guide readers progressively, the book begins with foundational MATLAB operations such as syntax and matrix manipulation, then advances into sophisticated engineering applications, including optimization, numerical methods, and data visualization. It covers essential MATLAB functionalities, offering detailed instruction on computation, visualization, and programming, all within the context of solving real-world engineering challenges. What sets this book apart is its hands-on approach. Readers are immersed in practical learning through real-world case studies, examples, and step-by-step exercises designed to reinforce key concepts. The text provides both academic and professional readers with the tools they need to model, analyze, and optimize engineering systems using MATLAB, ensuring they are equipped to handle both routine and complex engineering challenges with confidence. By the end, readers will not only master MATLAB's powerful tools but will also understand how to apply them directly to critical civil engineering problems, positioning themselves to innovate and lead in a field where computational proficiency is increasingly essential.
ARTIFICIAL INTELLIGENCE FOR CIVIL ENGINEERING
Author: DR. KRISHNA RAO AKULA
language: en
Publisher: SREE GLOBAL PUBLICATIONS
Release Date:
The 21st century has heralded a paradigm shift in the way humanity conceptualizes, designs, and interacts with its built environment. As cities expand, infrastructure systems age, environmental uncertainties intensify, and the demand for sustainable development accelerates, the field of civil engineering stands at a transformative crossroads. Traditionally rooted in empirical wisdom, deterministic modeling, and rule-based design practices, civil engineering is now being reimagined through the lens of data, algorithms, and intelligent systems. At the heart of this metamorphosis lies Artificial Intelligence (AI), a domain that has emerged not as a mere tool for automation but as a foundational framework capable of redefining the very epistemology of engineering itself. This book, "Artificial Intelligence for Civil Engineering," has been conceptualized with a singular vision: to serve as a comprehensive academic and professional resource that not only introduces the foundational principles of AI but also contextualizes them within the complex, multidimensional landscape of civil engineering. While the benefits of AI have been widely documented in sectors such as finance, healthcare, and information technology, its potential in civil engineering—one of the most foundational disciplines in societal development—has remained relatively underexplored in a consolidated manner. This book aims to bridge that knowledge gap by presenting a well-structured, interdisciplinary, and application-oriented discourse that weaves together theory, algorithms, case studies, tools, and research directions.
Current Trends in Civil Engineering and Engineering Sciences 2024, Vol 2
This book contains selected articles from the fourth International Conference on Geotechnical Engineering-Iraq 2024 (ICGE-2024) held on April 17–18, 2024, at at Warith Al-Anbiyaa University, Karbala, Iraq. This proceeding discusses the latest research and studies in geotechnical engineering and all related topics in different fields such as civil engineering, environmental engineering, and architectural engineering. This book gives participants from both academics and industry a great chance to learn about recent developments in Geotechnical engineering fields.