Reliability analysis of shallow tunnels using the response surface methodology

Hamrouni, Adam; Dias, Daniel; Sbartai, Badreddine

doi:10.1016/j.undsp.2017.11.003

Cited by 45 publications

(11 citation statements)

References 45 publications

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“…The fracture toughness characteristics that affect the cracking performance of different asphalt mixtures can be calculated with response surface method and the result of this method show a good agreement with the expected data which confirm the appropriateness of the optimization process [4]. Response surface method has been conducted in the various investigations such as civil engineering [5][6][7], mechanical engineering [8] geotechnical engineering [9,10] to evaluate material performance without too many experiments. In this study after the conducting various tests such as Marshall stability, flow, cantabro, performace of mix asphalt that obtained from the certain percentage of recycled aggregate, virgin aggregates and two different types of bitumen (70/100, 50/70) were evaluated by using RSA method.…”

Section: Introductionmentioning

confidence: 60%

Prediction of the Asphalt Mixture Performance Prepared with Recycled Fine Aggregate by using Response Surface Analysis

et al. 2019

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Applying new techniques such as numerical method would prepare more facilities to estimate the result of experimental studies.In this research, performance of asphalt mixtures prepared with recycled aggregates was measured by using response surface analysis method. For this aim, recycled aggregates obtained from chip seal roads were used as fine aggregates with new aggregates in asphalt mixtures. Recycled aggregates were added into the mixture with 25, 50, 75, 100% ratios. 50/70 and 70/100 penetration bitumens were used as binder in the prepared mixtures. In order to measure the perfromance of mixtures, Marshall stability, flow, cantabro were performed. The results obtained from response surface analysis showed that, the estimation models have R 2 values higher than 80. This means that, response surface analysis can be used as a numerical method for the prediction of asphalt mixture perfomance.

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Section: Introductionmentioning

confidence: 60%

Prediction of the Asphalt Mixture Performance Prepared with Recycled Fine Aggregate by using Response Surface Analysis

et al. 2019

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“…This approximation is termed the surrogate model. Other terms as the response surface model (to cite a few directly related to tunneling analysis) or metamodel are also used.…”

Section: Bayesian Model In Context Of Engineering Applicationsmentioning

confidence: 99%

“…This method is briefly discussed in Section 3.1.1. In most practical applications, this method is introduced in the framework of finite element or finite difference method. This, in turn, may prove computationally unfeasible in conjunction with Bayesian updating.…”

Section: Predicting Settlements During Tunnel Excavation Via Bayesianmentioning

confidence: 99%

“…In the reliability‐based design, these contributions would be mostly concerned with an aleatory (driven by chance) type of uncertainty . Nevertheless, calibrating constitutive models calls for experiments, which are often sparse and yield another type of uncertainty called epistemic (related to intellectual knowledge), and it is the experimental uncertainty which plays a crucial role in the prediction of structural response grounded on probability analysis .…”

Section: Introductionmentioning

confidence: 99%

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Applying Bayesian approach to predict deformations during tunnel construction

Janda

Šejnoha

2018

Num Anal Meth Geomechanics

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In this paper a fully probabilistic approach based on the Bayesian statistical method is presented to predict ground settlements in both transverse and longitudinal directions during gradual excavation of a tunnel. To that end, the convergence confinement method is adopted to give estimates of ground deformation numerically. Together with in situ measurements of the evolution of vertical deflections at selected points along the tunnel line, it allows for the construction of a likelihood function and consequently in the framework of Bayesian inference to provide posterior improved knowledge of model parameters entering the numerical analysis. In this regard, the Bayesian updating is first exploited in the material identification step and next used to yield predictions of ground settlement in sections along the tunnel line ahead of the tunnel face. This methodology thus makes it possible to improve original designs by utilizing an increasing number of data (measurements) collected in the course of tunnel construction.

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“…Recently, a large volume of research works used seismic fragility curves as a useful tool to evaluate the seismic performance of pile-supported wharves. [23][24][25][26][27][28][29][30] Several port structures use batter piles to provide lateral resistance and to limit deflections from lateral loads, such as ship berthing and seismic loads. In the past, engineers contest the use of batter piles due to the poor performance under earthquake, caused by the lack of proper design of the batter piles head connections.…”

Section: Introductionmentioning

confidence: 99%

The influence of the soil constitutive models on the seismic analysis of pile-supported wharf structures with batter piles in cut-slope rock dike

Deghoul

Gabi

Hamrouni

2020

Studia Geotechnica Et Mechanica

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AbstractIn coastal regions, earthquakes caused severe damage to marine structures. Many researchers have conducted numerical investigations in order to understand the dynamic behavior of these structures. The most frequently used model in numerical calculations of soil is the linear-elastic perfectly plastic model with a Mohr-Coulomb failure criterion (MC model). It is recommended to use this model to represent a first-order approximation of soil behavior. Therefore, it is necessary to accommodate soil constitutive models for the specific geotechnical problems.In this paper, three soil constitutive models with different accuracy were applied by using the two-dimensional finite element software PLAXIS to study the behavior of pile-supported wharf embedded in rock dike, under the 1989 Loma Prieta earthquake. These models are: a linear-elastic perfectly plastic model (MC model), an elastoplastic model with isotropic hardening (HS model), and the Hardening Soil model with an extension to the small-strain stiffness (HSS model).A typical pile-supported wharf structure with batter piles from the western United States ports was selected to perform the study. The wharf included cut-slope (sliver) rock dike configuration, which is constituted by a thin layer of rockfill overlaid by a slope of loose sand. The foundation soil and the backfill soil behind the wharf were all dense sand. The soil parameters used in the study were calibrated in numerical soil element tests (Oedometer and Triaxial tests).The wharf displacement and pore pressure results obtained using models with different accuracy were compared to the numerical results of Heidary-Torkamani et al.[28] It was found that the Hardening Soil model with small-strain stiffness (HSS model) gives clearly better results than the MC and HS models.Afterwards, the pile displacements in sloping rockfill were analyzed. The displacement time histories of the rock dike at the top and at the toe were also exposed. It can be noted that during the earthquake there was a significant lateral ground displacement at the upper part of the embankment due to the liquefaction of loose sand. This movement caused displacement at the dike top greater than its displacement at the toe. Consequently, the behavior of the wharf was affected and the pile displacements were important, specially the piles closest to the dike top.

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Reliability analysis of shallow tunnels using the response surface methodology

Cited by 45 publications

References 45 publications

Prediction of the Asphalt Mixture Performance Prepared with Recycled Fine Aggregate by using Response Surface Analysis

Prediction of the Asphalt Mixture Performance Prepared with Recycled Fine Aggregate by using Response Surface Analysis

Applying Bayesian approach to predict deformations during tunnel construction

The influence of the soil constitutive models on the seismic analysis of pile-supported wharf structures with batter piles in cut-slope rock dike

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