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: Online Damage Detection in Structural Systems
    sub title: Applications of Proper Orthogonal Decomposition, and Kalman and Particle Filters
  name:
    name part: Eftekhar Azam, Saeed.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 135 p. 87 illus. online resource.
  abstract: This monograph assesses in depth the application of recursive Bayesian filters in structural health monitoring. Although the methods and algorithms used here are well established in the field of automatic control, their application in the realm of civil engineering has to date been limited. The monograph is therefore intended as a reference for structural and civil engineers who wish to conduct research in this field. To this end, the main notions underlying the families of Kalman and particle filters are scrutinized through explanations within the text and numerous numerical examples. The main limitations to their application in monitoring of high-rise buildings are discussed, and a remedy based on a synergy of reduced order modeling (based on proper orthogonal decomposition) and Bayesian estimation is proposed. The performance and effectiveness of the proposed algorithm is demonstrated via pseudo-experimental evaluations.
  table of contents: Introduction -- Recursive Bayesian estimation of partially observed dynamic systems -- Model Order Reduction of dynamic systems via Proper Orthogonal Decomposition -- POD-Kalman observer for linear time invariant dynamic systems -- Dual estimation and reduced order modeling of damaging structures -- Summary of the recursive Bayesian inference schemes.
  note: by Saeed Eftekhar Azam.
  subject:
    topic: Engineering
  subject:
    topic: Statistics
  subject:
    topic: Vibration
  subject:
    topic: Dynamical systems
  subject:
    topic: Dynamics
  subject:
    topic: Building repair
  subject:
    topic: Buildings
    topic: Repair and reconstruction
  subject:
    topic: Engineering
  subject:
    topic: Vibration, Dynamical Systems, Control
  subject:
    topic: Signal, Image and Speech Processing
  subject:
    topic: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
  subject:
    topic: Building Repair and Maintenance
  classification: TA355
  classification: TA352-356
  classification: 620
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Applied Sciences and Technology
  identifier: 9783319025599
  identifier: http://dx.doi.org/10.1007/978-3-319-02559-9
  record info:
    record creation date: 140121
    record change date: 20151103131301.0
    record identifier: 978-3-319-02559-9