Stochastic design charts for bearing capacity of strip footings

Traditional design methods of bearing capacity of shallow foundations are deterministic in the sense that they do not explicitly consider the inherent uncertainty associated with the factors affecting bearing capacity. To account for such uncertainty, available deterministic methods rather employ a...

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Main Authors: Shahin, Mohamed, Cheung, E.
Format: Journal Article
Published: Techno Press 2011
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/6498
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author Shahin, Mohamed
Cheung, E.
author_facet Shahin, Mohamed
Cheung, E.
author_sort Shahin, Mohamed
building Curtin Institutional Repository
collection Online Access
description Traditional design methods of bearing capacity of shallow foundations are deterministic in the sense that they do not explicitly consider the inherent uncertainty associated with the factors affecting bearing capacity. To account for such uncertainty, available deterministic methods rather employ a fixed global factor of safety that may lead to inappropriate bearing capacity predictions. An alternative stochastic approach is essential to provide a more rational estimation of bearing capacity. In this paper, the likely distribution of predicted bearing capacity of strip footings subjected to vertical loads is obtained using a stochastic approach based on the Monte Carlo simulation. The approach accounts for the uncertainty associated with the soil shear strength parameters: cohesion, c, and friction angle, f, and the cross correlation between c and f. A set of stochastic design charts that assure target reliability levels of 90% and 95%, are developed for routine use by practitioners. The charts negate the need for a factor of safety and provide a more reliable indication of what the actual bearing capacity might be.
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spelling curtin-20.500.11937-64982017-01-30T10:53:31Z Stochastic design charts for bearing capacity of strip footings Shahin, Mohamed Cheung, E. Bearing capacity Shallow foundations Strip footings Stochastic analysis Monte Carlo Traditional design methods of bearing capacity of shallow foundations are deterministic in the sense that they do not explicitly consider the inherent uncertainty associated with the factors affecting bearing capacity. To account for such uncertainty, available deterministic methods rather employ a fixed global factor of safety that may lead to inappropriate bearing capacity predictions. An alternative stochastic approach is essential to provide a more rational estimation of bearing capacity. In this paper, the likely distribution of predicted bearing capacity of strip footings subjected to vertical loads is obtained using a stochastic approach based on the Monte Carlo simulation. The approach accounts for the uncertainty associated with the soil shear strength parameters: cohesion, c, and friction angle, f, and the cross correlation between c and f. A set of stochastic design charts that assure target reliability levels of 90% and 95%, are developed for routine use by practitioners. The charts negate the need for a factor of safety and provide a more reliable indication of what the actual bearing capacity might be. 2011 Journal Article http://hdl.handle.net/20.500.11937/6498 Techno Press restricted
spellingShingle Bearing capacity
Shallow foundations
Strip footings
Stochastic analysis
Monte Carlo
Shahin, Mohamed
Cheung, E.
Stochastic design charts for bearing capacity of strip footings
title Stochastic design charts for bearing capacity of strip footings
title_full Stochastic design charts for bearing capacity of strip footings
title_fullStr Stochastic design charts for bearing capacity of strip footings
title_full_unstemmed Stochastic design charts for bearing capacity of strip footings
title_short Stochastic design charts for bearing capacity of strip footings
title_sort stochastic design charts for bearing capacity of strip footings
topic Bearing capacity
Shallow foundations
Strip footings
Stochastic analysis
Monte Carlo
url http://hdl.handle.net/20.500.11937/6498