Structural Health Monitoring Based on Data Science Techniques

Diogo Ribeiro editor Alexandre Cury editor Filippo Ubertini editor Michael D Todd editor

Format:Hardback

Publisher:Springer Nature Switzerland AG

Published:24th Oct '21

Should be back in stock very soon

This hardback is available in another edition too:

Structural Health Monitoring Based on Data Science Techniques cover


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.

ISBN: 9783030817152

Dimensions: unknown

Weight: unknown

484 pages

1st ed. 2022