Proceedings Of The Asme Conference On Smart Materials Adaptive Structures And Intelligent Systems 2008 Structural Health Monitoring

A collection of 84 peer-reviewed technical papers. It includes topics such as: Active Materials, Mechanics and Behavior; Bio-inspired Smart Materials and Structures; Enabling Technologies and Integrated System Design; Multifunctional Materials; Nonlinear Dynamics and Passive/Adaptive Controls; and, Structural Health Monitoring/NDE.

This is a collection of full-length, peer-reviewed technical papers. It covers topics including active materials, mechanics and behaviour, bio-inspired smart materials and structures, multifunctional materials and much more.

A collection of 81 full-length, peer-reviewed technical papers that covers such topics as: Bio-inspired Smart Materials and Structures; Enabling Technologies and Integrated System Design; Multifunctional Materials; and, Structural Health Monitoring/NDE.

Printed collection of 73 full-length, peer-reviewed technical papers. Topics include: Modeling, Simulation and Control of Adaptive Systems; Integrated System Design and Implementation; Structural Health Monitoring

Smart sensors are technologies designed to facilitate the monitoring operations. For instance, power consumption can be minimized through on-board processing and smart interrogation algorithms, and state detection enhanced through collaboration between sensor nodes. Applied to structural health monitoring, smart sensors are key enablers of sparse and dense sensor networks capable of monitoring full-scale structures and components. They are also critical in empowering operators with decision making capabilities. The objective of this Special Issue is to generate discussions on the latest advances in research on smart sensing technologies for structural health monitoring applications, with a focus on decision-enabling systems. This Special Issue covers a wide range of related topics such as innovative sensors and sensing technologies for crack, displacement, and sudden event monitoring, sensor optimization, and novel sensor data processing algorithms for damage and defect detection, operational modal analysis, and system identification of a wide variety of structures (bridges, transmission line towers, high-speed trains, masonry light houses, etc.).

Structural health monitoring (SHM) has attracted more attention during the last few decades in many engineering fields with the main aim of avoiding structural disastrous events. This aim is achieved by using advanced sensing techniques and further data processing. SHM has experienced booming advancements during recent years due to the developments in sensing techniques. The reliable operation of current, sophisticated, man-made structures drives the development of incipient reliable damage diagnosis and assessment. This book aims to illustrate the background and applications of SHM from both sensing and processing approaches. Its main objective is to summarize the advantages and disadvantages of SHM methodologies and their applications, which may provide a new perspective in understanding SHM for readers from diverse engineering fields.

The Collection embraces Structural Dynamics and Renewable Energy into more than 50 categories, including Shock and Vibration, Damping in Solids, Nonlinear Modeling, Structural Health Modeling, Structural Dynamics, and Rotating Machinery. This the first volume of the five-volume set brings together 34 chapters on Structural Dynamics and Renewable Energy.