Data Driven Methods for Civil Structural Health Monitoring and
Resilience: Latest Developments and Applications provides a
comprehensive overview of data-driven methods for structural health
monitoring (SHM) and resilience of civil engineering structures,
mostly based on artificial intelligence or other advanced data
science techniques. This allows existing structures to be turned
into smart structures, thereby able to provide intelligible
information about their state of health and performance on a
continuous, relatively real-time basis. Artificial-intelligence
based methodologies are becoming increasingly more attractive for
civil engineering and SHM applications; machine learning and deep
learning methods can be applied and further developed to transform
the available data into valuable information for engineers and
decision makers.
General
| Imprint: |
Taylor & Francis
|
| Country of origin: |
United Kingdom |
| Series: |
Resilience and Sustainability in Civil, Mechanical, Aerospace and Manufacturing Engineering Systems |
| Release date: |
October 2023 |
| Editors: |
Mohammad Noori
• Carlo Rainieri
• Marco Domaneschi
• Vasilis Sarhosis
|
| Dimensions: |
229 x 152mm (L x W) |
| Pages: |
400 |
| ISBN-13: |
978-1-03-230837-1 |
| Categories: |
Books
|
| LSN: |
1-03-230837-0 |
| Barcode: |
9781032308371 |
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