Structural health monitoring is an exciting new field on the frontier of applied engineering. With the purpose of examining the health of standing buildings, aircrafts, and other complex structures using pre-installed sensors that provide stress and pressure data in real-time, this field allows structural-health experts to act as engineering “doctors.” These specialists diagnose potential problems in advance using complex algorithms and statistical modeling so that steps may be taken to prevent structural damage—or worse, loss of life.

Emerging Design Solutions in Structural Health Monitoring Systems seeks to advance cutting-edge research in the field, with a special focus on cross-disciplinary work involving recent advances in IT. This research has enabled structural-health experts to wield groundbreaking new models of artificial intelligence as a diagnostic tool capable of identifying future problems before they even appear. This publication serves as a broad overview of structural management science, as well as an on-ramp for a general engineering audience, including students, educators, and researchers.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Aeronautics
Aerospace Engineering
Architecture
Artificial Intelligence
Cementitious Mortar
Civil engineering
Damage Detection
Mechanical Engineering
Predictive Modeling
Structural Health Monitoring
Ultrasonics
Wind Energy Structures

Reviews & Statements

Civil and electronic engineers describe theoretical frameworks and some recent research and development in acquiring and analyzing data from permanently installed sensors to determine the health of a structure in a non-destructive way. The topics include new features for damage detection and their temperature stability, developing a system for detecting weld failures, structural impact localization using emerging artificial intelligence algorithms, a statistical approach to structural damage diagnosis under uncertainty, fatigue crack growth analysis and damage prognosis in structures, and an implementation of a complete methodology for monitoring the structural health of wind energy structures.

– ProtoView Reviews

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Editor/Author Biographies

Diego Alexander Tibaduiza Burgos received his Electronic Engineer Degree from the Industrial University of Santander, Colombia in 2003, the M.Sc. degree in 2006 from the same university and his Doctoral Degree in 2013 from the Universitat Politècnica de Catalunya in Barcelona, Spain. He is the author and coauthor of more than 80 publications in journals, conferences, books and chapter books. Currently, Dr. Tibaduiza is a titular professor in the Faculty of Electronics Engineering at the Universidad Santo Tomás in Bogotá, Colombia. His research interest includes Structural Health Monitoring, Artificial Intelligence, Control Systems, Robotics and Signal Processing.

Luis Eduardo Mujica was born in Colombia in 1976. He graduated with bachelor degrees in electrical engineering and electronic engineering from the Universidad Industrial de Santander, Colombia in 2000. His doctoral degree in information technologies was obtained in 2006 from the University of Girona, Spain. Since 2007, he has been a post-doctoral researcher and assistant professor at the Technical University of Catalonia –UPC- (Barcelona, Spain). In recent years, he has been a visiting researcher at the University of Sheffield (UK), Ghent University (Belgium), the Catholic University of Louvain (Belgium) and the Universidad Politécnica de Madrid (Spain). His present research interests include intelligent and advanced signal processing for damage assessment in structural health monitoring.

José Rodellar, born in 1954 in Spain, is Professor in the Department of Applied Mathematics III, where he has Director in the period 2007-2013, in the School of Civil Engineering and the School of Industrial Engineering of the Technical University of Catalonia (Barcelona, Spain). His research interests include control systems, from theory to applications, including passive/semi-active/active control of structures and structural health monitoring using statistical methods. The outcomes of his research are summarized in three books, over 100 papers in peer-reviewed journals and over 200 presentations in the major international conferences on the above research topics. He has been principal investigator of 25 funded research projects and has supervised 20 PhD Thesis. From 2012, he is the President of the International Association for Structural Control and Monitoring.

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