International Journal of Civil and Structural Engineering

Volume 3 Issue 2 2012          Pages: 380 - 395                         << Previous      Next>>

Probabilistic analysis of Malaysian bored piles

Author Information:

Sadaf Qasim1, Indra Harahap2

1- PhD Candidate, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, 31750 Tronoh, Perak, Darul Ridwan, Malaysia

2- Associate Professor, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, 31750 Tronoh, Perak, Darul Ridwan, Malaysia

ABSTRACT

Initiating to introduce Load Resistance Factor Design in Malaysian Geotechnical industry is also one of the leading motives as LRFD is reliability based method, can work out the probability of failures of the structure and estimate the reliability through statistical knowledge.  To overcome the coming risks and the uncertainties in a best possible manner, demands of incorporating LRFD in practice is a dire need of this century. In terms of providing solution  of how to strengthen the sub-structures, reliability based LRFD method is proposed and emphasized by calculating resistance factors of bored pile through First Order Second Moment also known as First Order Reliability Method (FORM( and Mean Value First Order Second Moment (MVFOSM) rather the application of  fitting strategy. Statistical methods FOSM, AFOSM used to compute the beta values and resistance factors. Comparison of both methods has also been performed. As the most dominant is bore pile so in this document this structure is used for the reliability analysis. Cases of four Kuala Lumpur sites have been taken as a sample to get statistical data. Although the resistance factors developed is not so refined but at least conservative values of resistance factors are in hand to carry out LRFD.

Keywords: Reliability theory, load resistance factor design, working stress design, reliability index.

doi:10.6088/ijcser.201203013036

Copyright: © 2012 by the author(s), licensee Integrated Publishing Association. This is an open-access article distributed under the terms of the Creative Commons Attribution License (3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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