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.

Civil infrastructure systems are generally the most expensive assets in any country, and these systems are deteriorating at an alarming rate. In addition, these systems have a long service life in comparison to most other commercial products. As well, the introduction of intelligent materials and innovative design approaches in these systems is painfully slow due to heavy relianceon traditional construction and maintenance practices, and the conservative nature of design codes. Feedback on the "state of the health" of constructed systems is practically nonexistent. In the quest for lighter, stronger and corrosion-resistant structures, the replacement of ferrous materials by high-strength fibrous ones is being actively pursued in several countries around the world, both with respect to the design of new structures as well as for the rehabilitation and strengthening of existing ones. In North America, active research in the design of new highway bridges is focused on a number of specialty areas, including the replacement of steel reinforcing bars in concrete deck slabs by randomly distributed low-modulus fibers, and the replacement of steel prestressing cables for concrete components by tendons comprising super-strong fibers. Research is also being conducted on using FRPs to repair and strengthen existing structures.

Structural health monitoring (SHM) uses one or more in situ sensing systems placed in or around a structure, providing real-time evaluation of its performance and ultimately preventing structural failure. Although most commonly used in civil engineering, such as in roads, bridges, and dams, SHM is now finding applications in other engineering envir

Proceedings of the Tenth International Workshop on Structural Health Monitoring, September 1–3, 2015. Selected research on the entire spectrum of structural health techniques and areas of applicationAvailable in print, complete online text download or individual articles. Series book comprising two volumes provides selected international research on the entire spectrum of structural health monitoring techniques used to diagnose and safeguard aircraft, vehicles, buildings, civil infrastructure, ships and railroads, as well as their components such as joints, bondlines, coatings and more. Includes special sections on system design, signal processing, multifunctional materials, sensor distribution, embedded sensors for monitoring composites, reliability and applicability in extreme environments. The extensive contents can be viewed below.

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.).

This research report discusses the planning necessary for the proper development, acquisition, installation, and maintenance of an effective health monitoring network for transportation infrastructure systems. A comprehensive literature search was conducted, and the materials were compiled into a database, reviewed, and synthesized. Data elements vital for maintaining safe and functional transportation infrastructures were identified and discussed for bridge structures, pavements, and geotechnical structures. Moreover, the steps necessary for planning an instrumentation system for a particular structure are presented. Sample design plans for the transportation infrastructure systems that are typically constructed in Wisconsin were obtained from WisDOT, and suggested instrumentation plans were developed for these transportation systems. One of the objectives of the research project is to identify urban freeway construction projects that could efficiently serve as hosts for an infrastructure health monitoring (IHM) instrumentation testbed. Major current and near-future construction projects in Wisconsin were identified and critically evaluated to identify a candidate project to host the IHM testbed. Among the candidates, the Zoo Interchange reconstruction project is recommended for hosting the infrastructure health monitoring testbed. Cost estimates based on current market prices are provided for the instrumentation plans developed for IHM of bridge structures, pavements, and geotechnical structures. To provide an example of using IHM data in applications, archived data from the Marquette Interchange instrumentation project was used to develop vehicle wander patterns and load spectra data, both in the form needed to conduct a mechanistic appraisal of the pavement structure using the DARWin ME software. The research team designed and conducted an IHM survey of state highway agencies in the U.S. and Canada. The survey showed that 46 percent of state DOTs have implemented health monitoring applications for transportation infrastructure. The survey also identified the impediments facing state DOTs in implementing IHM systems.