Probabilistic-based analysis of a shallow square footing using Monte Carlo simulation
(چکیده مقاله) :
Abstract :
In this research, the bearing capacity (BC) of square shallow foundations at a depth of 0.5 m has been
computed with different width ranged from 1 m to 4 m utilizing direct approach based on cone tip resistance
(qc). The qcs have been measured through performing the Cone Penetration Tests (CPTs) on soil at
four locations in the site of water intake project in Nasiriyah, Iraq as part of a soil site investigation program.
The suggested applied vertical loads were 50–550 kPa. The qcs below the foundation level were
considered uncertain and were simulated as random variables. Different probability distributions (PDs)
were used to simulate the qcs values: normal, logistic, lognormal, Gamma, Weibull, Inverse Gaussian
and Rayleigh distributions. Choosing the appropriate distribution was based on a goodness of fit (GOF)
test. Monte Carlo simulation (MCS) was used to model the limit state function (LSF) based on a direct
solution. It was found that the bearing capacity is sensitive to both the coefficient of variation of qcs
and applied vertical load. It also was found that different PDs for soil parameters may result in the different
PD of BC. Varying the width of shallow foundations changes the values of qcs and their probability
distributions. According to this change, the reliability index of BC is slightly affected by the width of the
foundation. The reliability index shows a good value at stress 100 kN/m2 higher than the target reliability
and the reliability equal to zero at 550 kN/m2. A nonlinear behavior was observed between the probability
of bearing capacity failure and t
computed with different width ranged from 1 m to 4 m utilizing direct approach based on cone tip resistance
(qc). The qcs have been measured through performing the Cone Penetration Tests (CPTs) on soil at
four locations in the site of water intake project in Nasiriyah, Iraq as part of a soil site investigation program.
The suggested applied vertical loads were 50–550 kPa. The qcs below the foundation level were
considered uncertain and were simulated as random variables. Different probability distributions (PDs)
were used to simulate the qcs values: normal, logistic, lognormal, Gamma, Weibull, Inverse Gaussian
and Rayleigh distributions. Choosing the appropriate distribution was based on a goodness of fit (GOF)
test. Monte Carlo simulation (MCS) was used to model the limit state function (LSF) based on a direct
solution. It was found that the bearing capacity is sensitive to both the coefficient of variation of qcs
and applied vertical load. It also was found that different PDs for soil parameters may result in the different
PD of BC. Varying the width of shallow foundations changes the values of qcs and their probability
distributions. According to this change, the reliability index of BC is slightly affected by the width of the
foundation. The reliability index shows a good value at stress 100 kN/m2 higher than the target reliability
and the reliability equal to zero at 550 kN/m2. A nonlinear behavior was observed between the probability
of bearing capacity failure and t
(توضیحات تکمیلی) :
(توضیحات تکمیلی) :
Description :
مقاله ISI انگلیسی اصلی
سال انتشار:2018
فایل ISI انگلیسی اصلی ، با فرمت Pdf
تعداد صفحات فایل ISI انگلیسی اصلی: 21 صفحه
سال انتشار:2018
فایل ISI انگلیسی اصلی ، با فرمت Pdf
تعداد صفحات فایل ISI انگلیسی اصلی: 21 صفحه
Authors / Descriptions(نویسندگان/توضیحات): مقاله ISI سال انتشار2018 \ Ressol R. Shakir
Sent date(تاریخ ارسال) :
1397/10/20 | 1/10/2019
Number of visits(تعداد بازدید):
894
Key words (کلمات کلیدی):
Bearing capacity (BC) Reliability analysis Monte Carlo simulation (MCS) Cone Penetration Test (CPT) Shallow foundation
Number of pages(تعداد صفحات) :
21
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