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SS02: Structural Health Monitoring and Damage Identification

Techniques, algorithms and results are presented in a way that allows their direct application. A number of case studies are included to highlight further the practical aspects of the selected topics. Computational Techniques for Structural Health Monitoring also provides the reader with numerical simulation tools that are essential to the development of novel algorithms for the interpretation of experimental measurements, and for the identification of damage and its characterization.

Upon reading Computational Techniques for Structural Health Monitoring , graduate students will be able to begin research-level work in the area of structural health monitoring.

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The level of detail in the description of formulation and implementation also allows engineers to apply the concepts directly in their research. The following ISBNs are associated with this title:.


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Structural Engineering

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Frontiers in Built Environment | Computational Methods in Structural Engineering

Age of the child I gave this to:. Ability of SHM in identifying the location and severity of structural damages by considering any changes in characteristics of the structures such as their frequency, stiffness and mode shapes helps engineers to monitor the structures and take the most effective corrective actions to maintain their safety and extend their service life.

The main objective of this study is to review the overall SHM process specifically determining the natural frequency of an instrumented simply-supported concrete beam using modal testing and finite element model updating. Bagchi, A.

Structural Health Monitoring

Gopalakrishnan S. Ruzzene M. Hanagud S.


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