Muutke küpsiste eelistusi

Structural Health Monitoring: An Integrated Approach [Kõva köide]

,
  • Formaat: Hardback, 512 pages, kõrgus x laius: 234x156 mm, 150 Illustrations, black and white
  • Ilmumisaeg: 05-Jan-2026
  • Kirjastus: CRC Press Inc
  • ISBN-10: 1466566736
  • ISBN-13: 9781466566736
Teised raamatud teemal:
  • Kõva köide
  • Hind: 128,81 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 171,75 €
  • Säästad 25%
  • Raamatu kohalejõudmiseks kirjastusest kulub orienteeruvalt 3-4 nädalat
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
Structural Health Monitoring: An Integrated Approach
  • Formaat: Hardback, 512 pages, kõrgus x laius: 234x156 mm, 150 Illustrations, black and white
  • Ilmumisaeg: 05-Jan-2026
  • Kirjastus: CRC Press Inc
  • ISBN-10: 1466566736
  • ISBN-13: 9781466566736
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781466566736.html

Structural health monitoring (SHM) is a multidisciplinary problem that involves modeling and simulation, damage detection, information management and prognosis. This book is designed to provide readers with a clear idea of all the challenges that need to be tackled before an SHM system can be implemented in real structures. It emphasizes the multidisciplinary nature of this topic and covers the key elements and approaches used to model and monitor structures for damage state assessment and estimation of remaining useful life.

Introduction. Need for Condition Based Monitoring. What is Structural Health Monitoring? Advantages of SHM. Multidisciplinary Nature of SHM. Overview of Existing SHM and NOT Technologies. SHM Concepts and Principles. Modeling Needs. Modeling Needs. Multiscale Damage Models. Stochastic Modeling. Virtual Sensing. Structural Modeling for Life Estimation. Sensors for SHM. Sensor Selection Considerations. Passive vs. Active Sensing. Survey of Wave Based Sensors for Usage/Condition Monitoring. Survey of Strain Based Sensors for Usage/Condition Monitoring. Sensor Networks and Wireless Sensing. Implementation Considerations. Data Collection and Information Management. Measurement Needs. Data Acquisition. Data Preprocessing and Storage. Feature Extraction. Damage Assessment. Damage Detection. Damage Localization. Damage Quantification. Structural Life Estimation. Physics Based Methods. Data Driven Methods. Hybrid Approaches. Case Study 1: Aerospace Application. Case Study 2: Naval Application. Case Study 3: Civil Application.

Dr. Aditi Chattopadhyay is a Professor of Mechanical and Aerospace Engineering in the School for Engineering of Matter, Transport and Energy and Director of the Adaptive, Intelligent Materials and Systems Center (AIMS) at Arizona State University (ASU). Dr. Mark Seaver is a Research Physicist (retired) affiliated with the Naval Research Laboratory, Washington, DC.