Open access peer-reviewed Edited volume

Structural Health Monitoring

Measurement Methods and Practical Applications

Structural health monitoring (SHM) is a new engineering field with a growing tendency, based on technology development focused on data acquisition and analysis, to prevent possible damage in man-made structures and land's natural faults. The data are obtained from sensors and monitoring systems that allow detecting damages on structures, space vehicles, and land natural faults, to model their behavior under adverse scenarios, in order to search the detection of anomalies. Currently, there are many SHM systems with sensors based on different technologies like optical fiber, video cameras, optical scanners, wireless networks, and piezoelectric transducers, among others. In this context, the present book includes selected chapters with theoretical models and applications, to preserve infrastructure and prevent loss of human lives.

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Structural Health MonitoringMeasurement Methods and Practical ApplicationsEdited by Oleg Sergiyenko

Published: June 21st 2017

DOI: 10.5772/65818

ISBN: 978-953-51-3254-7

Print ISBN: 978-953-51-3253-0

Books open for chapter submissions

1819 Total Chapter Downloads

chaptersDownloads

Open access peer-reviewed

1. Substructuring Method in Structural Health Monitoring

By Shun Weng, Hong-Ping Zhu, Yong Xia and Fei Gao

293

Open access peer-reviewed

2. A New Method of SHM for Steel Wire Rope and its Apparatus

By Shiwei Liu, Yanhua Sun and Wenjia Ma

303

Open access peer-reviewed

3. Structural Damage Detection Based on Improved Multi-Particle Swarm Co-Evolution Optimization Algorithm

By Shaofei Jiang and Shenglan Ma

277

Open access peer-reviewed

4. Operational Modal Analysis of Super Tall Buildings by a Bayesian Approach

By Feng-Liang Zhang and Yan-Chun Ni

302

Open access peer-reviewed

5. Mooring Integrity Management: Novel Approaches Towards In Situ Monitoring

By Ángela Angulo, Graham Edwards, Slim Soua and Tat-Hean Gan

336

Open access peer-reviewed

6. Multi-Sensor Feature Extraction and Data Fusion Using ANFIS and 2D Wavelet Transform in Structural Health Monitoring

By Ponciano Jorge Escamilla-Ambrosio, Xuefeng Liu, Juan Manuel Ramírez-Cortés, Abraham Rodríguez-Mota and María del Pilar Gómez-Gil

308

Edited volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI
  • IET Inspec

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