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: Reliability-based Structural Design
  name:
    name part: Choi, Seung-Kyum.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Canfield, Robert A.
    role:
      role term: author.
  name:
    name part: Grandhi, Ramana V.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxk
    date issued: 2007
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 306 p. online resource.
  abstract: As modern structures require more critical and complex designs, the need for accurate approaches to assess uncertainties in loads, geometry, material properties, manufacturing processes and operational environments has increased significantly. Reliability assessment techniques help to develop safe designs and identify where significant contributors of uncertainty occur in structural systems, or, where further research, testing and quality control could increase the safety and efficiency of the structure. Reliability-based Structural Design provides readers with an understanding of the fundamentals and applications of structural reliability, stochastic finite element method, reliability analysis via stochastic expansion, and optimization under uncertainty. Probability theory, statistic methods, and reliability analysis methods including Monte Carlo sampling, Latin hypercube sampling, first and second-order reliability methods, stochastic finite element method, and stochastic optimization are discussed. In addition, the use of stochastic expansions, including polynomial chaos expansion and Karhunen-Loeve expansion, for the reliability analysis of practical engineering problems is also examined. Detailed examples of practical engineering applications including an uninhabited joined-wing aircraft and a supercavitating torpedo are presented to illustrate the effectiveness of these methods. Reliability-based Structural Design will be a valuable reference for graduate and post graduate students studying structural reliability, probabilistic analysis and optimization under uncertainty; as well as engineers, researchers, and technical managers who are concerned with theoretical fundamentals, computational implementations and applications for probabilistic analysis and design.
  table of contents: Preliminaries -- Probabilistic Analysis -- Methods of Structural Reliability -- Reliability-based Structural Optimization -- Stochastic Expansion for Probabilistic Analysis -- Probabilistic Analysis Examples via Stochastic Expansion -- Summary.
  note: by Seung-Kyum Choi, Robert A. Canfield, Ramana V. Grandhi.
  subject:
    topic: Engineering
  subject:
    topic: Computational intelligence
  subject:
    topic: Structural mechanics
  subject:
    topic: Automotive engineering
  subject:
    topic: Quality control
  subject:
    topic: Reliability
  subject:
    topic: Industrial safety
  subject:
    topic: Engineering
  subject:
    topic: Quality Control, Reliability, Safety and Risk
  subject:
    topic: Computational Intelligence
  subject:
    topic: Structural Mechanics
  subject:
    topic: Automotive Engineering
  classification: TA169.7
  classification: T55-T55.3
  classification: TA403.6
  classification: 658.56
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781846284458
  identifier: http://dx.doi.org/10.1007/978-1-84628-445-8
  record info:
    record creation date: 100301
    record change date: 20151204152904.0
    record identifier: 978-1-84628-445-8