European Workshop on Structural Health Monitoring

European Workshop on Structural Health Monitoring
  • Author : Piervincenzo Rizzo,Alberto Milazzo
  • Publisher : Springer Nature
  • Pages : 972
  • Relase : 2021-01-10
  • ISBN : 9783030645946

European Workshop on Structural Health Monitoring Book Review:

This volume gathers the latest advances, innovations, and applications in the field of structural health monitoring (SHM) and more broadly in the fields of smart materials and intelligent systems. The volume covers highly diverse topics, including signal processing, smart sensors, autonomous systems, remote sensing and support, UAV platforms for SHM, Internet of Things, Industry 4.0, and SHM for civil structures and infrastructures. The contributions, which are published after a rigorous international peer-review process, highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaboration among different specialists. The contents of this volume reflect the outcomes of the activities of EWSHM (European Workshop on Structural Health Monitoring) in 2020.

Structural Health Monitoring Based on Data Science Techniques

Structural Health Monitoring Based on Data Science Techniques
  • Author : Alexandre Cury
  • Publisher : Springer Nature
  • Pages :
  • Relase :
  • ISBN : 9783030817169

Structural Health Monitoring Based on Data Science Techniques Book Review:

Smart Machining Systems

Smart Machining Systems
  • Author : Kunpeng Zhu
  • Publisher : Springer Nature
  • Pages : 407
  • Relase : 2021-11-23
  • ISBN : 9783030878788

Smart Machining Systems Book Review:

This book provides the tools to enhance the precision, automation and intelligence of modern CNC machining systems. Based on a detailed description of the technical foundations of the machining monitoring system, it develops the general idea of design and implementation of smart machining monitoring systems, focusing on the tool condition monitoring system. The book is structured in two parts. Part I discusses the fundamentals of machining systems, including modeling of machining processes, mathematical basics of condition monitoring and the framework of TCM from a machine learning perspective. Part II is then focused on the applications of these theories. It explains sensory signal processing and feature extraction, as well as the cyber-physical system of the smart machining system. Its utilisation of numerous illustrations and diagrams explain the ideas presented in a clear way, making this book a valuable reference for researchers, graduate students and engineers alike.

Structural Health Monitoring

Structural Health Monitoring
  • Author : Charles R. Farrar,Keith Worden
  • Publisher : John Wiley & Sons
  • Pages : 656
  • Relase : 2012-11-19
  • ISBN : 9781118443217

Structural Health Monitoring Book Review:

Written by global leaders and pioneers in the field, this book is a must-have read for researchers, practicing engineers and university faculty working in SHM. Structural Health Monitoring: A Machine Learning Perspective is the first comprehensive book on the general problem of structural health monitoring. The authors, renowned experts in the field, consider structural health monitoring in a new manner by casting the problem in the context of a machine learning/statistical pattern recognition paradigm, first explaining the paradigm in general terms then explaining the process in detail with further insight provided via numerical and experimental studies of laboratory test specimens and in-situ structures. This paradigm provides a comprehensive framework for developing SHM solutions. Structural Health Monitoring: A Machine Learning Perspective makes extensive use of the authors’ detailed surveys of the technical literature, the experience they have gained from teaching numerous courses on this subject, and the results of performing numerous analytical and experimental structural health monitoring studies. Considers structural health monitoring in a new manner by casting the problem in the context of a machine learning/statistical pattern recognition paradigm Emphasises an integrated approach to the development of structural health monitoring solutions by coupling the measurement hardware portion of the problem directly with the data interrogation algorithms Benefits from extensive use of the authors’ detailed surveys of 800 papers in the technical literature and the experience they have gained from teaching numerous short courses on this subject.

Civil Structural Health Monitoring

Civil Structural Health Monitoring
  • Author : Carlo Rainieri,Giovanni Fabbrocino,Nicola Caterino,Francesca Ceroni,Matilde A. Notarangelo
  • Publisher : Springer Nature
  • Pages : 1038
  • Relase : 2021-08-24
  • ISBN : 9783030742584

Civil Structural Health Monitoring Book Review:

This volume gathers the latest advances and innovations in the field of structural health monitoring, as presented at the 8th Civil Structural Health Monitoring Workshop (CSHM-8), held on March 31–April 2, 2021. It discusses emerging challenges in civil SHM and more broadly in the fields of smart materials and intelligent systems for civil engineering applications. The contributions cover a diverse range of topics, including applications of SHM to civil structures and infrastructures, innovative sensing solutions for SHM, data-driven damage detection techniques, nonlinear systems and analysis techniques, influence of environmental and operational conditions, aging structures and infrastructures in hazardous environments, and SHM in earthquake prone regions. Selected by means of a rigorous peer-review process, they will spur novel research directions and foster future multidisciplinary collaborations.

Structural Health Monitoring and Damage Detection, Volume 7

Structural Health Monitoring and Damage Detection, Volume 7
  • Author : Christopher Niezrecki
  • Publisher : Springer
  • Pages : 191
  • Relase : 2015-04-14
  • ISBN : 9783319152301

Structural Health Monitoring and Damage Detection, Volume 7 Book Review:

Structural Health Monitoring & Damage Detection, Volume 7: Proceedings of the 33rd IMAC, A Conference and Exposition on Structural Dynamics, 2015, the seventh volume of ten from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Structural Dynamics, including papers on: Structural Health Monitoring Damage Detection Energy Harvesting

Structural Health Monitoring, Damage Detection & Mechatronics, Volume 7

Structural Health Monitoring, Damage Detection & Mechatronics, Volume 7
  • Author : Alfred Wicks,Christopher Niezrecki
  • Publisher : Springer
  • Pages : 151
  • Relase : 2016-05-24
  • ISBN : 9783319299563

Structural Health Monitoring, Damage Detection & Mechatronics, Volume 7 Book Review:

Structural Health Monitoring, Damage Detection & Mechatronics, Volume 7. Proceedings of the 34th IMAC, A Conference and Exposition on Dynamics of Multiphysical Systems: From Active Materials to Vibroacoustics, 2016, the seventh volume of ten from the Conference brings together contributions to this important area of research and engineering. The collection presents early fi ndings and case studies on fundamental and applied aspects of Structural Dynamics, including papers on: • Structural Health Monitoring • Damage Detection • Numerical Modeling • Mechatronics • System Identifi cation • Active Controls

Advanced Aerospace Materials

Advanced Aerospace Materials
  • Author : Haim Abramovich
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Pages : 318
  • Relase : 2019-08-19
  • ISBN : 9783110537574

Advanced Aerospace Materials Book Review:

Advanced Aerospace Materials is intended for engineers and students of aerospace, materials, and mechanical engineering. It covers the transition from aluminum to composite materials for aerospace structures and will include essential and advanced analyses used in today’s aerospace industries. Various aspects of design, failure and monitoring of structural components will be derived and presented accompanied by relevant formulas and analyses.

Proceedings of SECON’21

Proceedings of SECON’21
  • Author : Giuseppe Carlo Marano,Samit Ray Chaudhuri,G. Unni Kartha,P. E. Kavitha,Reshma Prasad,Rinu J. Achison
  • Publisher : Springer Nature
  • Pages : 1127
  • Relase : 2021-09-03
  • ISBN : 9783030803124

Proceedings of SECON’21 Book Review:

This book gathers peer-reviewed contributions presented at the International Conference on Structural Engineering and Construction Management (SECON’21), held on 12-15 May 2021. The meeting served as a fertile platform for discussion, sharing sound knowledge and introducing novel ideas on issues related to sustainable construction and design for the future. The respective contributions address various aspects of numerical modeling and simulation in structural engineering, structural dynamics and earthquake engineering, advanced analysis and design of foundations, BIM, building energy management, and technical project management. Accordingly, the book offers a valuable, up-to-date tool and essential overview of the subject for scientists and practitioners alike, and will inspire further investigations and research.

Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint

Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint
  • Author : Mark K. Hinders
  • Publisher : Springer Nature
  • Pages : 346
  • Relase : 2020-07-01
  • ISBN : 9783030493950

Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint Book Review:

This book discusses various applications of machine learning using a new approach, the dynamic wavelet fingerprint technique, to identify features for machine learning and pattern classification in time-domain signals. Whether for medical imaging or structural health monitoring, it develops analysis techniques and measurement technologies for the quantitative characterization of materials, tissues and structures by non-invasive means. Intelligent Feature Selection for Machine Learning using the Dynamic Wavelet Fingerprint begins by providing background information on machine learning and the wavelet fingerprint technique. It then progresses through six technical chapters, applying the methods discussed to particular real-world problems. Theses chapters are presented in such a way that they can be read on their own, depending on the reader’s area of interest, or read together to provide a comprehensive overview of the topic. Given its scope, the book will be of interest to practitioners, engineers and researchers seeking to leverage the latest advances in machine learning in order to develop solutions to practical problems in structural health monitoring, medical imaging, autonomous vehicles, wireless technology, and historical conservation.

Life Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision

Life Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision
  • Author : Robby Caspeele,Luc Taerwe,Dan M. Frangopol
  • Publisher : CRC Press
  • Pages : 564
  • Relase : 2018-10-31
  • ISBN : 9781351857574

Life Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision Book Review:

This volume contains the papers presented at IALCCE2018, the Sixth International Symposium on Life-Cycle Civil Engineering (IALCCE2018), held in Ghent, Belgium, October 28-31, 2018. It consists of a book of extended abstracts and a USB device with full papers including the Fazlur R. Khan lecture, 8 keynote lectures, and 390 technical papers from all over the world. Contributions relate to design, inspection, assessment, maintenance or optimization in the framework of life-cycle analysis of civil engineering structures and infrastructure systems. Life-cycle aspects that are developed and discussed range from structural safety and durability to sustainability, serviceability, robustness and resilience. Applications relate to buildings, bridges and viaducts, highways and runways, tunnels and underground structures, off-shore and marine structures, dams and hydraulic structures, prefabricated design, infrastructure systems, etc. During the IALCCE2018 conference a particular focus is put on the cross-fertilization between different sub-areas of expertise and the development of an overall vision for life-cycle analysis in civil engineering. The aim of the editors is to provide a valuable source of cutting edge information for anyone interested in life-cycle analysis and assessment in civil engineering, including researchers, practising engineers, consultants, contractors, decision makers and representatives from local authorities.

Smart Civil Structures

Smart Civil Structures
  • Author : You-Lin Xu,Jia He
  • Publisher : CRC Press
  • Pages : 714
  • Relase : 2017-04-11
  • ISBN : 9781498743990

Smart Civil Structures Book Review:

A smart civil structure integrates smart materials, sensors, actuators, signal processors, communication networks, power sources, diagonal strategies, control strategies, repair strategies, and life-cycle management strategies. It should function optimally and safely in its environment and maintain structural integrity during strong winds, severe earthquakes, and other extreme events. This book extends from the fundamentals to the state-of-the-art. It covers the elements of smart civil structures, their integration, and their functions. The elements consist of smart materials, sensors, control devices, signal processors, and communication networks. Integration refers to multi-scale modelling and model updating, multi-type sensor placement, control theory, and collective placement of control devices and sensors. And the functions include structural health monitoring, structural vibration control, structural self-repairing, and structural energy harvesting, with emphasis on their synthesis to form truly smart civil structures. It suits civil engineering students, professionals, and researchers with its blend of principles and practice.

Structures and Infrastructure Systems

Structures and Infrastructure Systems
  • Author : Dan M. Frangopol
  • Publisher : Routledge
  • Pages : 406
  • Relase : 2019-12-18
  • ISBN : 9781351182782

Structures and Infrastructure Systems Book Review:

Our knowledge to model, design, analyse, maintain, manage and predict the life-cycle performance of infrastructure systems is continually growing. However, the complexity of these systems continues to increase and an integrated approach is necessary to understand the effect of technological, environmental, economic, social, and political interactions on the life-cycle performance of engineering infrastructure. In order to accomplish this, methods have to be developed to systematically analyse structure and infrastructure systems, and models have to be formulated for evaluating and comparing the risks and benefits associated with various alternatives. Civil engineers must maximize the life-cycle benefits of these systems to serve the needs of our society by selecting the best balance of the safety, economy, resilience and sustainability requirements despite imperfect information and knowledge. Within the context of this book, the necessary concepts are introduced and illustrated with applications to civil and marine structures. This book is intended for an audience of researchers and practitioners world‐wide with a background in civil and marine engineering, as well as people working in infrastructure maintenance, management, cost and optimization analysis. The chapters originally published as articles in Structure and Infrastructure Engineering.

Topics in Model Validation and Uncertainty Quantification, Volume 4

Topics in Model Validation and Uncertainty Quantification, Volume 4
  • Author : T. Simmermacher,Scott Cogan,L.G. Horta,R. Barthorpe
  • Publisher : Springer Science & Business Media
  • Pages : 190
  • Relase : 2012-04-23
  • ISBN : 9781461424314

Topics in Model Validation and Uncertainty Quantification, Volume 4 Book Review:

Topics in Model Validation and Uncertainty Quantification, Volume 4, Proceedings of the 30th IMAC, A Conference and Exposition on Structural Dynamics, 2012, the fourth volume of six from the Conference, brings together 19 contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Structural Dynamics, including papers on: Robustness to Lack of Knowledge in Design Bayesian and Markov Chain Monte Carlo Methods Uncertainty Quantification Model Calibration

Robust Monitoring, Diagnostic Methods and Tools for Engineered Systems

Robust Monitoring, Diagnostic Methods and Tools for Engineered Systems
  • Author : Eleni N. Chatzi,Manolis N. Chatzis,Costas Papadimitriou
  • Publisher : Frontiers Media SA
  • Pages :
  • Relase : 2020-10-23
  • ISBN : 9782889660889

Robust Monitoring, Diagnostic Methods and Tools for Engineered Systems Book Review:

Pattern Recognition Applications in Engineering

Pattern Recognition Applications in Engineering
  • Author : Burgos, Diego Alexander Tibaduiza,Vejar, Maribel Anaya,Pozo, Francesc
  • Publisher : IGI Global
  • Pages : 357
  • Relase : 2019-12-27
  • ISBN : 9781799818410

Pattern Recognition Applications in Engineering Book Review:

The implementation of data and information analysis has become a trending solution within multiple professions. New tools and approaches are continually being developed within data analysis to further solve the challenges that come with professional strategy. Pattern recognition is an innovative method that provides comparison techniques and defines new characteristics within the information acquisition process. Despite its recent trend, a considerable amount of research regarding pattern recognition and its various strategies is lacking. Pattern Recognition Applications in Engineering is an essential reference source that discusses various strategies of pattern recognition algorithms within industrial and research applications and provides examples of results in different professional areas including electronics, computation, and health monitoring. Featuring research on topics such as condition monitoring, data normalization, and bio-inspired developments, this book is ideally designed for analysts; researchers; civil, mechanical, and electronic engineers; computing scientists; chemists; academicians; and students.

Intelligent Technologies and Applications

Intelligent Technologies and Applications
  • Author : Imran Sarwar Bajwa,Fairouz Kamareddine,Anna Costa
  • Publisher : Springer
  • Pages : 853
  • Relase : 2019-03-11
  • ISBN : 9789811360527

Intelligent Technologies and Applications Book Review:

This book constitutes the refereed proceedings of the First International Conference on Intelligent Technologies and Applications, INTAP 2018, held in Bahawalpur, Pakistan, in October 2018. The 68 revised full papers and 6 revised short papers presented were carefully reviewed and selected from 251 submissions. The papers of this volume are organized in topical sections on AI and health; sentiment analysis; intelligent applications; social media analytics; business intelligence;Natural Language Processing; information extraction; machine learning; smart systems; semantic web; decision support systems; image analysis; automated software engineering.

Advances in Intelligent Data Analysis VIII

Advances in Intelligent Data Analysis VIII
  • Author : Niall M. Adams,Céline Robardet,Arno Siebes,Jean-Francois Boulicaut
  • Publisher : Springer Science & Business Media
  • Pages : 418
  • Relase : 2009-08-17
  • ISBN : 9783642039140

Advances in Intelligent Data Analysis VIII Book Review:

This book constitutes the refereed proceedings of the 8th International Conference on Intelligent Data Analysis, IDA 2009, held in Lyon, France, August 31 – September 2, 2009. The 33 revised papers, 18 full oral presentations and 15 poster and short oral presentations, presented were carefully reviewed and selected from almost 80 submissions. All current aspects of this interdisciplinary field are addressed; for example interactive tools to guide and support data analysis in complex scenarios, increasing availability of automatically collected data, tools that intelligently support and assist human analysts, how to control clustering results and isotonic classification trees. In general the areas covered include statistics, machine learning, data mining, classification and pattern recognition, clustering, applications, modeling, and interactive dynamic data visualization.

Advances in Intelligent Data Analysis IX

Advances in Intelligent Data Analysis IX
  • Author : Paul R. Cohen,Niall M. Adams,Michael R. Berthold
  • Publisher : Springer
  • Pages : 260
  • Relase : 2010-05-11
  • ISBN : 9783642130625

Advances in Intelligent Data Analysis IX Book Review:

Annotation. This book constitutes the refereed proceedings of the 9th International Conference on Intelligent Data Analysis, IDA 2010, held in Tucson, AZ, USA in May 2010. The 21 revised papers presented together with 2 invited papers were carefully reviewed and selected from more than 40 submissions. All current aspects of intelligent data analysis are addressed, particularly intelligent support for modeling and analyzing complex, dynamical systems. Topics covered are end-to-end software systems; modeling complex systems such as gene regulatory networks, economic systems, ecological systems, resources such as water, and dynamical social systems such as online communities; and robustness, scaling properties and other usability issues.

Sensor Technologies for Civil Infrastructures

Sensor Technologies for Civil Infrastructures
  • Author : Jerome P. Lynch,Hoon Sohn,Ming L. Wang
  • Publisher : Woodhead Publishing
  • Pages : 726
  • Relase : 2022-07-19
  • ISBN : 9780081027073

Sensor Technologies for Civil Infrastructures Book Review:

Sensor Technologies for Civil Infrastructure, Volume 2: Applications in Structural Health Monitoring, Second Edition, provides an overview of sensor applications and a new section on future and emerging technologies. Part one is made up of case studies in assessing and monitoring specific structures such as bridges, towers, buildings, dams, tunnels, pipelines, and roads. The new edition also includes sensing solutions for assessing and monitoring of naval systems. Part two reviews emerging technologies for sensing and data analysis including diagnostic solutions for assessing and monitoring sensors, unmanned aerial systems, and UAV application in post-hazard event reconnaissance and site assessment. Includes case studies in assessing structures such as bridges, buildings, super-tall towers, dams, tunnels, wind turbines, railroad tracks, nuclear power plants, offshore structures, naval systems, levees, and pipelines Reviews future and emerging technologies and techniques including unmanned aerial systems, LIDAR, and ultrasonic and infrared sensing Describes latest emerging techniques in data analysis such as diagnostic solutions for assessing and monitoring sensors and big data analysis