Reliability-Based Design for External Stability of Mechanically Stabilized Earth Walls

Chalermyanont, Tanit; Benson, Craig H.

doi:10.1061/(asce)1532-3641(2005)5:3(196)

Cited by 60 publications

(7 citation statements)

References 17 publications

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“…In the review, pile walls are the most studied structures in reliability-based designs, whilst the anchored walls are the least studied. Basma, 1991a;Cherubini et al, 1992;Goh and Kulhawy, 2005;GuhaRay and Baidya, 2015;Koreta et al, 2015;Li et al, 2016;Low and Phoon, 2015;Papaioannou and Straub, 2010;Prästings et al, 2016;Sessa and D'Urso, 2013;Wang, 2013Soil nailing Sivakumar Babu and Singh, 2009, 2011Cao et al, 2014;Hui and Zhu, 2013;Lu and Jiang, 2012;Zhang et al, 2009;Zhao & An, 2011Cantilever Fenton et al, 2005Goh et al, 2009;Griffiths et al, 2008;GuhaRay and Baidya, 2014;Juang et al, 2013;Liu et al, 2013;Prada et al, 2011;Zevgolis and Bourdeau, 2010a;Mandali et al, 2011 MSE Basheer andNajjar, 1996;Chalermyanont and Benson, 2004, 2005a, 2005bHegazy et al, 2009;Kim and Salgado, 2012;Miyata and Bathurst, 2012;Zevgolis and Bourdeau, 2008, 2010bAnchor Basha and Sivakumar Babu, 2008Basma, 1991b;…”

Section: Previous Researchmentioning

confidence: 99%

Reliability-based designs procedure of earth retaining walls in geotechnical engineering

2017

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Section: Previous Researchmentioning

confidence: 99%

Reliability-based designs procedure of earth retaining walls in geotechnical engineering

2017

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“…There are some uncertainties in the design input parameters that can be simulated mathematically (e.g., Harr 1987;Low 2008;Fenton, Griffiths, and Williams 2005;Chalermyanont and Benson 2005;Zevgolis and Bourdeau 2006;Griffiths, Fenton, and Ziemann 2008;Basha and Babu 2008;Wang 2011;Wang 2013). Important input parameters in the limit equilibrium method are geometrical parameter (e.g., excavation height H), water level (L 1 = αH), soil properties (c; c sat ; / 0 ), wall properties (W, f y ), surcharge load (q) and interface friction (d 0 ).…”

Section: Probabilistic Characteristics Of Random Variablesmentioning

confidence: 99%

System reliability-based analysis of cantilever retaining walls embedded in granular soils

Daryani

Mohamad

2014

Georisk: Assessment and Management of Risk for Engineered Syste

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Reliability-based analysis of cantilever retaining walls requires consideration of different failure mechanisms. In this paper, the reliability of soil-wall system is assessed considering two failure modes: rotational and structural stability, and the system reliability is assumed as a series system. The methodology is based on Monte Carlo Simulation (MCS), and it deals with the variability of the design parameters in the limit equilibrium analysis of a wall embedded in granular soil. Results of the MCS indicate that the reliability of the failure components increases exponentially by increasing the variability of design parameters. The results of the system reliability indicate how the system reliability is different from the component reliabilities. The strength of the weakest component influences the reliability of the system. The system reliability index increases with the wall section gradually. However it remains constant for the rotational failure mode.

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“…Oreste considered the probabilistic distributions of rock properties and support materials to obtain the probabilistic distribution of the support safety factors and then designed supports [29]. Chalermyanont and Benson developed a two-phase approach based on the RBD method for mechanically stabilized earth walls [30]. Wang et al applied RBDs to spread foundations and drilled shafts by combing Monte Carlo simulations or expanding the RBDs [31].…”

Section: Introductionmentioning

confidence: 99%

The Reliability‐Based Design Optimization of considering Rock‐Support Interaction for Rock Tunnels

Zhao

Chen

2021

Advances in Civil Engineering

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Uncertainty is critical to the tunnel design. In this study, a novel reliability-based design (RBD) method was developed by integrating the rock-support interaction and its uncertainties for rock tunnels. In this method, the rock-support interactions were analyzed based on a convergence-confinement method. Uncertainties were estimated by reliability analysis using Excel Solver. Chaotic particle swarm optimization (CPSO) was adopted to search the optimal tunnel design parameters based on the rock-support interaction analysis. The proposed method for estimating the reliability index and determining the tunnel support parameters was introduced in detail. To illustrate the proposed method, it was applied to two tunnels with rock-bolt and combined support systems. The results indicated that the method could obtain accurate solutions with a dramatically improved computing efficiency, guaranteeing the tunnel stability at the same time. The developed method provides an excellent way to deal with the uncertainty in tunnel design. It was proved to be an efficient and effective method for the support designs of rock tunnels.

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Reliability-Based Design for External Stability of Mechanically Stabilized Earth Walls

Cited by 60 publications

References 17 publications

Reliability-based designs procedure of earth retaining walls in geotechnical engineering

Reliability-based designs procedure of earth retaining walls in geotechnical engineering

System reliability-based analysis of cantilever retaining walls embedded in granular soils

The Reliability‐Based Design Optimization of considering Rock‐Support Interaction for Rock Tunnels

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