An Ai For Structural Integrity Monitoring
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| Author | : Kossi Ntiafalali Aziagba |
| Publisher | : Kossi Ntiafalali Aziagba |
| Total Pages | : 59 |
| Release | : 2024-07-14 |
| Genre | : Technology & Engineering |
| ISBN | : 6501084946 |
This AI system can be applied in various real-world scenarios, such as: - Bridge Monitoring: Continuous monitoring of bridges to detect early signs of wear and prevent collapses. - Building Inspections: Routine assessments of high-rise buildings to identify structural weaknesses. In the future, this AI could be explored and used by the entire population to identify construction anomalies and structural pathologies. Suppose you are in your room and suddenly notice a large crack in the main pillar of your roof. When this AI is ready, you will simply need to take 2 or 3 photos of the concerned area from different angles. The device will immediately analyze the damage, compare it with its data, describe the situation, and provide you with recommendations. The system could also automatically alert engineers and the government based on the severity of the case. Additionally, the system will have an integrated thermal camera to analyze thermal factors, determining the depth of the damage and the affected area.
| Author | : Alexandre Cury |
| Publisher | : Springer Nature |
| Total Pages | : 490 |
| Release | : 2021-10-23 |
| Genre | : Computers |
| ISBN | : 3030817164 |
The modern structural health monitoring (SHM) paradigm of transforming in situ, real-time data acquisition into actionable decisions regarding structural performance, health state, maintenance, or life cycle assessment has been accelerated by the rapid growth of “big data” availability and advanced data science. Such data availability coupled with a wide variety of machine learning and data analytics techniques have led to rapid advancement of how SHM is executed, enabling increased transformation from research to practice. This book intends to present a representative collection of such data science advancements used for SHM applications, providing an important contribution for civil engineers, researchers, and practitioners around the world.
| Author | : R.A. Collacott |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 510 |
| Release | : 1985-11-30 |
| Genre | : Technology & Engineering |
| ISBN | : 9780412219207 |
This book should be of interest to students and practitioners of materials science, production engineering and engineering design.
| Author | : Charles R. Farrar |
| Publisher | : John Wiley & Sons |
| Total Pages | : 735 |
| Release | : 2012-11-19 |
| Genre | : Technology & Engineering |
| ISBN | : 1118443217 |
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.
| Author | : Hua-Peng Chen |
| Publisher | : John Wiley & Sons |
| Total Pages | : 341 |
| Release | : 2018-01-29 |
| Genre | : Technology & Engineering |
| ISBN | : 1119166632 |
A critical review of key developments and latest advances in Structural Health Monitoring technologies applied to civil engineering structures, covering all aspects required for practical application Structural Health Monitoring (SHM) provides the facilities for in-service monitoring of structural performance and damage assessment, and is a key element of condition based maintenance and damage prognosis. This comprehensive book brings readers up to date on the most important changes and advancements in the structural health monitoring technologies applied to civil engineering structures. It covers all aspects required for such monitoring in the field, including sensors and networks, data acquisition and processing, damage detection techniques and damage prognostics techniques. The book also includes a number of case studies showing how the techniques can be applied in the development of sustainable and resilient civil infrastructure systems. Structural Health Monitoring of Large Civil Engineering Structures offers in-depth chapter coverage of: Sensors and Sensing Technology for Structural Monitoring; Data Acquisition, Transmission, and Management; Structural Damage Identification Techniques; Modal Analysis of Civil Engineering Structures; Finite Element Model Updating; Vibration Based Damage Identification Methods; Model Based Damage Assessment Methods; Monitoring Based Reliability Analysis and Damage Prognosis; and Applications of SHM Strategies to Large Civil Structures. Presents state-of-the-art SHM technologies allowing asset managers to evaluate structural performance and make rational decisions Covers all aspects required for the practical application of SHM Includes case studies that show how the techniques can be applied in practice Structural Health Monitoring of Large Civil Engineering Structures is an ideal book for practicing civil engineers, academics and postgraduate students studying civil and structural engineering.
| Author | : Daniel Balageas |
| Publisher | : John Wiley & Sons |
| Total Pages | : 496 |
| Release | : 2010-01-05 |
| Genre | : Technology & Engineering |
| ISBN | : 0470394404 |
This book is organized around the various sensing techniques used to achieve structural health monitoring. Its main focus is on sensors, signal and data reduction methods and inverse techniques, which enable the identification of the physical parameters, affected by the presence of the damage, on which a diagnostic is established. Structural Health Monitoring is not oriented by the type of applications or linked to special classes of problems, but rather presents broader families of techniques: vibration and modal analysis; optical fibre sensing; acousto-ultrasonics, using piezoelectric transducers; and electric and electromagnetic techniques. Each chapter has been written by specialists in the subject area who possess a broad range of practical experience. The book will be accessible to students and those new to the field, but the exhaustive overview of present research and development, as well as the numerous references provided, also make it required reading for experienced researchers and engineers.
| Author | : Markus G. R. Sause |
| Publisher | : Springer Nature |
| Total Pages | : 292 |
| Release | : 2021 |
| Genre | : Aerospace engineering |
| ISBN | : 3030721922 |
This open access book presents established methods of structural health monitoring (SHM) and discusses their technological merit in the current aerospace environment. While the aerospace industry aims for weight reduction to improve fuel efficiency, reduce environmental impact, and to decrease maintenance time and operating costs, aircraft structures are often designed and built heavier than required in order to accommodate unpredictable failure. A way to overcome this approach is the use of SHM systems to detect the presence of defects. This book covers all major contemporary aerospace-relevant SHM methods, from the basics of each method to the various defect types that SHM is required to detect to discussion of signal processing developments alongside considerations of aerospace safety requirements. It will be of interest to professionals in industry and academic researchers alike, as well as engineering students. This article/publication is based upon work from COST Action CA18203 (ODIN - http://odin-cost.com/), supported by COST (European Cooperation in Science and Technology). COST (European Cooperation in Science and Technology) is a funding agency for research and innovation networks. Our Actions help connect research initiatives across Europe and enable scientists to grow their ideas by sharing them with their peers. This boosts their research, career and innovation.
| Author | : Gebrail Bekdaş |
| Publisher | : Springer Nature |
| Total Pages | : 425 |
| Release | : |
| Genre | : |
| ISBN | : 3031659767 |
| Author | : M H Ferri Aliabadi |
| Publisher | : World Scientific |
| Total Pages | : 286 |
| Release | : 2017-12-18 |
| Genre | : Technology & Engineering |
| ISBN | : 1786343940 |
Structural health monitoring (SHM) is a relatively new and alternative way of non-destructive inspection (NDI). It is the process of implementing a damage detection and characterization strategy for composite structures. The basis of SHM is the application of permanent fixed sensors on a structure, combined with minimum manual intervention to monitor its structural integrity. These sensors detect changes to the material and/or geometric properties of a structural system, including changes to the boundary conditions and system connectivity, which adversely affect the system's performance.This book's primary focus is on the diagnostics element of SHM, namely damage detection in composite structures. The techniques covered include the use of Piezoelectric transducers for active and passive Ultrasonics guided waves and electromechanical impedance measurements, and fiber optic sensors for strain sensing. It also includes numerical modeling of wave propagation in composite structures. Contributed chapters written by leading researchers in the field describe each of these techniques, making it a key text for researchers and NDI practitioners as well as postgraduate students in a number of specialties including materials, aerospace, mechanical and computational engineering.
| Author | : Moncef L. Nehdi |
| Publisher | : Elsevier |
| Total Pages | : 440 |
| Release | : 2024-02-13 |
| Genre | : Technology & Engineering |
| ISBN | : 0443131929 |
Artificial Intelligence Applications for Sustainable Construction presents the latest developments in AI and ML technologies applied to real-world civil engineering concerns. With an increasing amount of attention on the environmental impact of every industry, more construction projects are going to require sustainable construction practices. This volume offers research evidence, simulation results, and case studies to support this change. Sustainable construction, in fact, not only uses renewable and recyclable materials when building new structures or repairing deteriorating ones, but also adopts all possible methods to reduce energy consumption and waste. The concisely written but comprehensive, practical knowledge put forward by this international group of highly specialized editors and contributors will prove to be beneficial to engineering students and professionals alike. - Presents convincing "success stories that encourage application of AI-powered tools to civil engineering - Provides a wealth of valuable technical information to address and resolve many challenging construction problems - Illustrates the most recent shifts in thinking and practice for sustainable construction
