This book gathers the peer-reviewed selected papers presented at the 3rd International Conference on Testing and Experimentation in Civil Engineering (TEST&E 2022), held in Almada, Portugal, on June 21-23, 2022. It showcases the role of smart technologies in all civil engineering areas, such as structures and construction, geotechnics and natural resources, hydraulics and water resources, transportation and communication networks. The conference topics encompass big data and advanced data processing systems, AI applications, virtual and augmented reality, 3D modeling and printing, digital twins, automation, sensing and detection technologies, inspection, monitoring and automatic damage identification, destructive and non-destructive testing, bio, nano and new materials, disaster risk reduction and emergency management. As such the book represents an invaluable, up-to-the-minute tool, and offers an important platform to engineers and architects.

The book presents the recent advances on testing and experimentation in civil engineering, especially in the branches of geotechnics, transportation, hydraulics, and natural resources. It includes advances in physical modelling, monitoring techniques, data acquisition and analysis, and provides an invaluable contribution for the installation of new civil engineering experimental facilities. The first part of the book covers the latest advances in testing and experimentation in key domains of geotechnics: soil mechanics and geotechnical engineering, rock mechanics and rock engineering, and engineering geology. Some of the topics covered include new developments in topographic survey acquisition for applied mapping and in situ geotechnical investigations; laboratory and in situ tests to estimate the relevant parameters needed to model the behaviour of rock masses and land structures; monitoring and inspection techniques designed for offshore wind foundations. The second part of the book highlights the relevance of testing and monitoring in transportation. Full-scale accelerated pavement testing, and instrumentation becomes even more important nowadays when, for sustainability purposes, non-traditional materials are used in road and airfield pavements. Innovation in testing and monitoring pavements and railway tracks is also developed in this part of the book. Intelligent traffic systems are the new traffic management paradigm, and an overview of new solutions is addressed here. Finally, in the third part of the book, trends in the field and laboratory measurements and corresponding data analysis are presented according to the different hydraulic domains addressed in this publication, namely maritime hydraulics, surface water and river hydraulics and urban water.

"Civil Engineering Materials and their Testing introduces the reader to basic construction materials like cement, aggregate, concrete, steel and brick. It gives an account of their origin, classifications, engineering properties, qualities, and standard tests. Each test includes its objective, apparatus/equipments, material requirements, formula, precautions and stepwise procedure and space for observations and results. Factors affecting different materials properties are also covered along with the functioning and maintenance of a variety of well-labeled apparatus and modern testing machines."--BOOK JACKET.

This book was proposed and organized as a means to present recent developments in the field of testing of materials and elements in civil engineering. For this reason, the articles highlighted in this editorial relate to different aspects of this topic, from building materials to building structures. The current trend in the development of materials testing in civil engineering is mainly concerned with the detection of flaws and defects in elements and structures using destructive, semidestructive, and nondestructive testing.

This book was proposed and organized as a means to present recent developments in the field of nondestructive testing of materials in civil engineering. For this reason, the articles highlighted in this editorial relate to different aspects of nondestructive testing of different materials in civil engineering—from building materials to building structures. The current trend in the development of nondestructive testing of materials in civil engineering is mainly concerned with the detection of flaws and defects in concrete elements and structures, and acoustic methods predominate in this field. As in medicine, the trend is towards designing test equipment that allows one to obtain a picture of the inside of the tested element and materials. From this point of view, interesting results with significance for building practices have been obtained

This edited volume presents selected contributions from the International Conference on Experimental Vibration Analysis of Civil Engineering Structures held in San Diego, California in 2017 (EVACES2017). The event brought together engineers, scientists, researchers, and practitioners, providing a forum for discussing and disseminating the latest developments and achievements in all major aspects of dynamic testing for civil engineering structures, including instrumentation, sources of excitation, data analysis, system identification, monitoring and condition assessment, in-situ and laboratory experiments, codes and standards, and vibration mitigation.

Designed Experiments for Science and Engineering is a versatile and overarching toolkit that explores various methods of designing experiments for over 20 disciplines in science and engineering. Designed experiments provide a structured approach to hypothesis testing, data analysis, and decision‐making. They allow researchers and engineers to efficiently explore multiple factors, interactions, and their impact on outcomes, ultimately leading to better‐designed processes, products, and systems across a wide range of scientific and engineering disciplines. Each discipline covered in this book includes the key characteristics of the steps in choosing and executing the experimental designs (one factor, fractional factorial, mixture experimentation, factor central composite, 3‐factor + central composite, etc.) and reviews the various statistical tools used as well as the steps in how to utilize each (standard deviation analysis, analysis of variance [ANOVA], relative standard deviation, bias analysis, etc.). This book is essential reading for students and professionals who are involved in research and development within various fields in science and engineering, such as mechanical engineering, environmental science, manufacturing, and aerospace engineering.

Experiment Design for Civil Engineering provides guidance to students and practicing civil engineers on how to design a civil engineering experiment that will produce useful and unassailable results. It includes a long list of complete experiment designs that students can perform in the laboratory at most universities and that many consulting engineers can do in corporate laboratories. These experiments also provide a way to evaluate a new design against an existing experiment to determine what information is most appropriate in each section and how to format the data for the most effective outcome. Interpretation of output data is discussed, along with uncertainty, as well as optimal presentation of the data to others. The content of the first 8 chapters is similar in format to authors' recent title, Experiment Design for Environmental Engineering: Methods and Examples (CRC Press, 2022) and has been revised for civil engineers. This textbook: Fills in the gap in ABET requirements to teach experiment design. Provides a standardized approach to experiment design that can work for any experiment. Includes completed experiment designs suitable for college laboratory and professional applications. Shows how to organize experimental data as it is collected to optimize usefulness. Provides templates for design of the experiment and for presenting the resulting data to technical and nontechnical audiences or clients.

This text presents an organized treatment of the methods and tools used in engineering experimental work. It is designed for students laboratory courses, and practicing engineers engaged in experimental test and development work.

Artificial neural networks, genetic algorithms and the ant colony optimization algorithm have become a highly effective tool for solving hard optimization problems. As their popularity has increased, applications of these algorithms have grown in more than equal measure. While many of the books available on these subjects only provide a cursory discussion of theory, the present book gives special emphasis to the theoretical background that is behind these algorithms and their applications. Moreover, this book introduces a novel real time control algorithm, that uses genetic algorithm and ant colony optimization algorithms for optimizing PID controller parameters. In general, the present book represents a solid survey on artificial neural networks, genetic algorithms and the ant colony optimization algorithm and introduces novel practical elements related to the application of these methods to process system control.