Structural Health Monitoring Based on Data Science Techniques: 21 (Structural Integrity, 21) - Hardcover

Hardcover

ISBN 10: 3030817156 ISBN 13: 9783030817152

Publisher: Springer, 2021

Synopsis

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.

About this title

From the Back 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.

Edition details

• Publisher: Springer
• Publication date: 2021
• Language: English
• ISBN 10: 3030817156
• ISBN 13: 9783030817152
• Binding: Hardcover
• Edition number: 1
• Number of pages: 499
• Editor: Cury Alexandre, Ribeiro Diogo, Ubertini Filippo, Todd Michael D.