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Structural safety of existing buildings near deep excavations

Structural safety of existing buildings near deep excavations Structural safety of existing buildings near deep excavations is evaluated by computing exceeding probabilities of different damage criteria within a simplified probabilistic methodology based on monovariate or multivariate probabilistic analyses employing the results of a numerical model of the boundary value problem. Different limit domains, defined on one or more deformation parameters and associated to limit states, are used to contemplate: the type of the structural system (i.e., reinforced concrete or masonry buildings); the foundation typology (i.e., strip/raft or pad foundations). The sensitivity analysis is developed considering the design of a new underground station in Naples (Italy). http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Structural Engineering Inderscience Publishers

Structural safety of existing buildings near deep excavations

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1758-7328
eISSN
1758-7336
DOI
10.1504/IJSTRUCTE.2014.060907
Publisher site
See Article on Publisher Site

Abstract

Structural safety of existing buildings near deep excavations is evaluated by computing exceeding probabilities of different damage criteria within a simplified probabilistic methodology based on monovariate or multivariate probabilistic analyses employing the results of a numerical model of the boundary value problem. Different limit domains, defined on one or more deformation parameters and associated to limit states, are used to contemplate: the type of the structural system (i.e., reinforced concrete or masonry buildings); the foundation typology (i.e., strip/raft or pad foundations). The sensitivity analysis is developed considering the design of a new underground station in Naples (Italy).

Journal

International Journal of Structural EngineeringInderscience Publishers

Published: Jan 1, 2014

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