Recent Advances in Structural Health Monitoring Research in Australia, Hong Guan
Автор: Tommy Chan, David P Thambiratnam Название: Structural Health Monitoring in Australia ISBN: 1631170228 ISBN-13(EAN): 9781631170225 Издательство: Nova Science Рейтинг: Цена: 140440.00 T Наличие на складе: Невозможна поставка. Описание: The Okavango Delta, a globally renowned wetland, is characterised by a mosaic of meandering watercourses, floodplains and islands, and is home to a variety of wildlife and vegetation species. It is a major source of livelihoods for the local communities and also an important attraction for tourism, the second most important economic activity in Botswana after diamonds, contributing 5% to the gross domestic product (GDP). As a globally renowned Ramsar Site and major tourist attraction, the Okavango Delta is a resource of national, regional and international importance. This book examines the results of empirical micro-level studies undertaken in the Okavango Delta and contributes to the formulation of relevant policies for sustainable development in the Okavango Delta.
This is a follow up to Health Assessment of Engineered Structures. It incorporates the most recent developments in health assessment and monitoring of infrastructures covering several advanced conceptual frameworks, different types of sensors, and application potentials. Opportunities and challenges in theoretical, numerical, and experimental investigations generally overlooked in the profession are discussed. Also included are various types of Bayesian filtering concepts improving the commonly used techniques.
Showcasing a multi-faceted, technology-based development in health assessment of infrastructures, several new approaches for health assessment are presented to assess the health of masonry structures, riveted steel railway bridges, and more, such as the use of:
Modified Social Group Optimization (MSGO) - a human-based meta-heuristic optimization technique,
autonomous crack detection approach using Artificial Intelligence,
Augmented Reality (AR) - a digital interface that combines interactive holographic components with the real-world,
vision-based noncontact and targetless vibration sensors, as well as
intelligent use of smartphone-based health assessment.
Автор: Feng, Dongming Feng, Maria Q. Название: Computer vision for structural dynamics and health monitoring ISBN: 1119566584 ISBN-13(EAN): 9781119566588 Издательство: Wiley Рейтинг: Цена: 118220.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Provides comprehensive coverage of theory and hands-on implementation of computer vision-based sensors for structural health monitoring This book is the first to fill the gap between scientific research of computer vision and its practical applications for structural health monitoring (SHM). It provides a complete, state-of-the-art review of the collective experience that the SHM community has gained in recent years. It also extensively explores the potentials of the vision sensor as a fast and cost-effective tool for solving SHM problems based on both time and frequency domain analytics, broadening the application of emerging computer vision sensor technology in not only scientific research but also engineering practice.
Computer Vision for Structural Dynamics and Health Monitoring presents fundamental knowledge, important issues, and practical techniques critical to successful development of vision-based sensors in detail, including robustness of template matching techniques for tracking targets; coordinate conversion methods for determining calibration factors to convert image pixel displacements to physical displacements; sensing by tracking artificial targets vs. natural targets; measurements in real time vs. by post-processing; and field measurement error sources and mitigation methods.
The book also features a wide range of tests conducted in both controlled laboratory and complex field environments in order to evaluate the sensor accuracy and demonstrate the unique features and merits of computer vision-based structural displacement measurement. Offers comprehensive understanding of the principles and applications of computer vision for structural dynamics and health monitoringHelps broaden the application of the emerging computer vision sensor technology from scientific research to engineering practice such as field condition assessment of civil engineering structures and infrastructure systemsIncludes a wide range of laboratory and field testing examples, as well as practical techniques for field applicationProvides MATLAB code for most of the issues discussed including that of image processing, structural dynamics, and SHM applications Computer Vision for Structural Dynamics and Health Monitoring is ideal for graduate students, researchers, and practicing engineers who are interested in learning about this emerging sensor technology and advancing their applications in SHM and other engineering problems. It will also benefit those in civil and aerospace engineering, energy, and computer science.
Автор: Fuh-Gwo Yuan Название: Structural Health Monitoring (SHM) in Aerospace Structures ISBN: 0081001487 ISBN-13(EAN): 9780081001486 Издательство: Elsevier Science Рейтинг: Цена: 223450.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: "
Structural Health Monitoring (SHM) in Aerospace Structures "provides readers with the spectacular progress that has taken place over the last twenty years with respect to the area of Structural Health Monitoring (SHM). The widespread adoption of SHM could both significantly improve safety and reduce maintenance and repair expenses that are estimated to be about a quarter of an aircraft fleet s operating costs.
The SHM field encompasses transdisciplinary areas, including smart materials, sensors and actuators, damage diagnosis and prognosis, signal and image processing algorithms, wireless intelligent sensing, data fusion, and energy harvesting. This book focuses on how SHM techniques are applied to aircraft structures with particular emphasis on composite materials, and is divided into four main parts.
Part One provides an overview of SHM technologies for damage detection, diagnosis, and prognosis in aerospace structures. Part Two moves on to analyze smart materials for SHM in aerospace structures, such as piezoelectric materials, optical fibers, and flexoelectricity. In addition, this also includes two vibration-based energy harvesting techniques for powering wireless sensors based on piezoelectric electromechanical coupling and diamagnetic levitation. Part Three explores innovative SHM technologies for damage diagnosis in aerospace structures. Chapters within this section include sparse array imaging techniques and phase array techniques for damage detection. The final section of the volume details innovative SHM technologies for damage prognosis in aerospace structures.
This book serves as a key reference for researchers working within this industry, academic, and government research agencies developing new systems for the SHM of aerospace structures and materials scientists. Provides key information on the potential of SHM in reducing maintenance and repair costsAnalyzes current SHM technologies and sensing systems, highlighting the innovation in each areaEncompasses chapters on smart materials such as electroactive polymers and optical fibers"
Автор: Srinivasan Gopalakrishnan; Massimo Ruzzene; Sathya Название: Computational Techniques for Structural Health Monitoring ISBN: 1447126858 ISBN-13(EAN): 9781447126850 Издательство: Springer Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This one-volume, in-depth introduction to the computational methodologies available for rapid detection of flaws in structures covers techniques, algorithms and results in a way that facilitates their direct application, and includes a number of case studies.
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