rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Structural health monitoring technologies and next-generation smart composite structures
  name:
    name part: Epaarachchi, Jayantha Ananda
    role:
      role term: editor.
  name:
    name part: Kahandawa, Gayan Chanaka
    role:
      role term: editor.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  genre: Handbooks and manuals.
  origin info:
    place:
      place term: flu
    date issued: 2016
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xvi, 545 pages)
  abstract: This book provides valuable insight into cutting-edge advances in structural health monitoring (SHM), smart materials, and smart structures. Comprised of chapters authored by leading researchers, the text showcases exciting developments in general embedded sensor technologies, general sensor technologies, sensor response interrogation and data communication, damage matrix formulation, damage mechanics and analysis, smart materials and structures, and SHM in aerospace applications. Each chapter makes a significant contribution to structural failure prevention, describing methods that increase safety and reduce maintenance costs in a variety of SHM applications.
  table of contents: Series Preface; Preface; Editors; Contributors; Chapter 1: Scalable Sensing Membrane for Structural Health Monitoring of Mesosystems; Chapter 2: Use of Distributed Sensor Networks with Optical Fibers (Brillouin Scattering) for SHM of Composite Structures; Chapter 3: Development of Embedded FBG Sensor Networks for SHM Systems; Chapter 4: Internet of Things for Structural Health Monitoring; Chapter 5: Laser Ultrasonic Imaging for Damage Visualization and Damage Accumulation Evaluation; Chapter 6: Sensor Networks for Structural Damage Monitoring.
  table of contents: Chapter 7: Damage Assessment Algorithms for Structural Health MonitoringChapter 8: Neural Networks and Genetic Algorithms in Structural Health Monitoring; Chapter 9: Development of Fracture and Damage Modeling Concepts for Composite Materials; Chapter 10: Life Prediction of Composite Rotor Blade; Chapter 11: Structural Health Monitoring Systems for Aerospace Structures; Chapter 12: Metal Core Piezoelectric Fiber and Its Application; Chapter 13: Shape Memory Polymers and Their Applications; Chapter 14: Fracture Mechanics and Damage Modeling of Laminated Composites.
  note: Jayantha Ananda Epaarachchi and Gayan Chanaka Kahandawa, [editors].
  note: Includes bibliographical references and index.
  subject:
    topic: Structural health monitoring
  subject:
    topic: Smart materials
  subject:
    topic: Composite construction
  subject:
    topic: Smart materials in architecture
  subject:
    topic: Surveillance de l'état des structures
  subject:
    topic: Matériaux intelligents
  subject:
    topic: Construction mixte
  subject:
    topic: Matériaux intelligents en architecture
  subject:
    topic: composite construction
  subject:
    topic: TECHNOLOGY & ENGINEERING
    topic: Civil
    topic: General
  subject:
    topic: Composite construction
  subject:
    topic: Smart materials
  subject:
    topic: Smart materials in architecture
  subject:
    topic: Structural health monitoring
  classification: TA656.6 .S777 2016eb
  classification: 624.1/70287
  related item:
    identifier: (DLC) 2016000956
    identifier: (OCoLC)912377337
  related item:
    title info:
      title: Composite materials (CRC Press)
  identifier: 9781482226928
  identifier: 1482226928
  identifier: 9781523108336
  identifier: 1523108339
  identifier: 9781315373492
  identifier: 1315373491
  identifier: 9781315336985
  identifier: 1315336987
  identifier: 9781482226911
  identifier: 148222691X
  identifier: 9781315356044
  identifier: 131535604X
  identifier: 9781315356044 Ingram Content Group
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: N$T
    record creation date: 160922
    record change date: 20241108165757.0
    record identifier: in00005523364
    language of cataloging:
      language term: eng