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Introduction to Computational Earthquake Engineering (2nd Edition)

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Synopses & Reviews

Synopsis:

Introduction to Computational Earthquake Engineering covers solid continuum mechanics, finite element method and stochastic modeling comprehensively, with the second and third chapters explaining the numerical simulation of strong ground motion and faulting, respectively. Stochastic modeling is used for uncertain underground structures, and advanced analytical methods for linear and non-linear stochastic models are presented. The verification of these methods by comparing the simulation results with observed data is then presented, and examples of numerical simulations which apply these methods to practical problems are generously provided. Furthermore three advanced topics of computational earthquake engineering are covered, detailing examples of applying computational science technology to earthquake engineering problems.

Product Details

ISBN:
9781848163980
Author:
Hori, Muneo
Publisher:
Imperial College Press
Subject:
Civil
Subject:
Earth Sciences - Seismology & Volcanism
Subject:
Fracture mechanics
Subject:
Civil Engineering-General
Subject:
Geology-Earthquakes and Volcanoes
Publication Date:
20110431
Binding:
TRADE PAPER
Language:
English
Pages:
350

Related Subjects

» Engineering » Civil Engineering » Seismology
» Engineering » Engineering » General Engineering
» Reference » Science Reference » Technology
» Science and Mathematics » Geology » Earthquakes and Volcanoes

Introduction to Computational Earthquake Engineering (2nd Edition) New Trade Paper
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Product details 350 pages Imperial College Press - English 9781848163980 Reviews:
"Synopsis" by , Introduction to Computational Earthquake Engineering covers solid continuum mechanics, finite element method and stochastic modeling comprehensively, with the second and third chapters explaining the numerical simulation of strong ground motion and faulting, respectively. Stochastic modeling is used for uncertain underground structures, and advanced analytical methods for linear and non-linear stochastic models are presented. The verification of these methods by comparing the simulation results with observed data is then presented, and examples of numerical simulations which apply these methods to practical problems are generously provided. Furthermore three advanced topics of computational earthquake engineering are covered, detailing examples of applying computational science technology to earthquake engineering problems.
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