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: Earthquake Disaster Simulation of Civil Infrastructures
    sub title: From Tall Buildings to Urban Areas
  name:
    name part: Lu, Xinzheng.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Guan, Hong.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: si
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 440 p. 337 illus., 296 illus. in color. online resource.
  abstract: Based on more than 12 years of systematic investigation on earthquake disaster simulation of civil infrastructures, this book covers the major research outcomes including a number of novel computational models, high performance computing methods and realistic visualization techniques for tall buildings and urban areas, with particular emphasize on collapse prevention and mitigation in extreme earthquakes, earthquake loss evaluation and seismic resilience. Typical engineering applications to several tallest buildings in the world (e.g., the 632 m tall Shanghai Tower and the 528 m tall Z15 Tower) and selected large cities in China (the Beijing Central Business District, Xi'an City, Taiyuan City and Tangshan City) are also introduced to demonstrate the advantages of the proposed computational models and techniques. The high-fidelity computational model developed in this book has proven to be the only feasible option to date for earthquake-induced collapse simulation of supertall buildings that are higher than 500 m. More importantly, the proposed collapse simulation technique has already been successfully used in the design of some real-world supertall buildings, with significant savings of tens of thousands of tons of concrete and steel, whilst achieving a better seismic performance and safety. The proposed novel solution for earthquake disaster simulation of urban areas using nonlinear multiple degree-of-freedom (MDOF) model and time-history analysis delivers several unique advantages: (1) true representation of the characteristic features of individual buildings and ground motions; (2) realistic visualization of earthquake scenarios, particularly dynamic shaking of buildings during earthquakes; (3) detailed prediction of seismic response and losses on each story of every building at any time period. The proposed earthquake disaster simulation technique has been successfully implemented in the seismic performance assessments and earthquake loss predictions of several…
  table of contents: Introduction -- High fidelity computational models for seismic simulation of tall buildings -- High performance computing and visualization for seismic simulation of tall buildings -- Seismic disaster simulation of typical super tall buildings -- Engineering application of seismic disaster simulation of supertall buildings -- Comparison of the seismic design and performance of tall buildings in China and USA -- Nonlinear MDOF models for seismic simulation of urban buildings -- Visualization of urban building seismic simulation -- High performance computing for urban building seismic simulation -- Seismic disaster simulation of typical urban areas -- Earthquake loss prediction for typical urban areas.
  note: by Xinzheng Lu, Hong Guan.
  subject:
    topic: Engineering
  subject:
    topic: Natural disasters
  subject:
    topic: Computer simulation
  subject:
    topic: Engineering
  subject:
    topic: Building Construction and Design
  subject:
    topic: Simulation and Modeling
  subject:
    topic: Natural Hazards
  classification: TH1-9745
  classification: 690
  related item:
    title info:
      title: Springer eBooks
  identifier: 9789811030871
  identifier: http://dx.doi.org/10.1007/978-981-10-3087-1
  record info:
    record creation date: 170118
    record change date: 20170118165653.0
    record identifier: 978-981-10-3087-1