Reinforced Soil Wall Analysis under Working Stress Conditions Using a Two Phase Model with the Introduction of a New Design Parameter

Iraji, Amin

doi:10.5829/ije.2019.32.12c.09

Cited by 3 publications

(4 citation statements)

References 22 publications

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“…11 Nevertheless, the present contribution is based on validating established constitutive models with their reference formulation, using the existing experimental database on KFS. The selection of the models was based on the fact, that they are widely used by geotechnical engineers 24,25,[27][28][29][30][31][32][33][34][35][48][49][50] and the aim of this study is to advise them of potential misuse, errors and discrepancies of models performance.…”

Section: The Generalized Plasticity Framework For Sandsmentioning

confidence: 99%

“…The bulk modulus 𝐾 𝑒𝑣0 = 𝐸∕(3 ⋅ (1 − 2𝜈)) and the shear modulus 𝐺 𝑒𝑠0 = 𝐸∕(2 ⋅ (1 + 𝜈)) are calculated with the Poisson's ratio (𝜈 = 0.35 reported in Wichtmann et al 3 for Karlsruhe fine sand) and the Young's modulus 𝐸, from the initial inclination of the measured 𝑞(𝜖 1 ) curves in the drained monotonic triaxial tests. Pastor et al 1 and subsequently, other authors [24][25][26]49,50 recommended a default value of 𝛼 = 0.45 for different sands, for example, Hostun, Sacramento River, Banding, Niigata, Reid , and Fuji. Hereby, a drained monotonic triaxial test with un-and reloading cycles from 53 (named TMCD4, initial void ratio 𝑒 0 = 0.82) as well as a series of undrained triaxial tests considering pyknotropy effects, as listed in Table 1 (named TMU2, 5, 6, 8, 11, and 12), were used to inspect the influence of 𝛼 on both models.…”

Section: Parameter Calibrationmentioning

confidence: 99%

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Inspection of two sophisticated models for sand based on generalized plasticity: Monotonic loading and Monte Carlo analysis

Yeh

Tafili

Prada-Sarmiento

et al. 2022

Num Anal Meth Geomechanics

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The generalized plasticity theory has evolved in the last decades and attracts the attention of different research groups, because of characteristics like the absence of an explicit flow surface formulation. This paper presents a detailed inspection of two sophisticated constitutive models for granular soils under monotonic loading: the Pastor‐Zienkiewicz‐Chan (P‐Z‐C) model[1] and the Manzanal‐Merodo‐Pastor (M‐M‐P) model.[2] Even though they are similar in mathematical framework, the P‐Z‐C model requires only eight parameters compared to the M‐M‐P model which requires 18 parameters to describe the material behavior under monotonic loading. Parameters of both models were calibrated based on the extensive experimental database available for monotonic triaxial tests performed on Karlsruhe fine sand by Wichtmann et al.[3] An objective discussion addressing the strengths and weaknesses of each model is presented. Finally, a procedure to identify the most relevant parameters that control different elements in the model like the stiffness, the evolution of dilatancy or the hardening variables is introduced, using the Monte Carlo Toolbox (MCAT) for simulations. Some interesting inferences could be obtained, like the conclusion that the MCAT is a helpful tool for identifying material parameters and their interaction, but it cannot replace the human factor, the experience and objective judgement of the modeller for the calibration of constitutive models.

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Section: The Generalized Plasticity Framework For Sandsmentioning

confidence: 99%

Section: Parameter Calibrationmentioning

confidence: 99%

Inspection of two sophisticated models for sand based on generalized plasticity: Monotonic loading and Monte Carlo analysis

Yeh

Tafili

Prada-Sarmiento

et al. 2022

Num Anal Meth Geomechanics

View full text Add to dashboard Cite

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“…In the case of cultural heritage objects, this is an adaptation for modern use. A demanded and justified action to improve the investment attractiveness and quality of life of citizens living in the central districts of the city is underground parking, the construction of which should create zones of comfortable stay by eliminating car parking in courtyards and on adjacent streets (9,10).…”

Section: Introductionmentioning

confidence: 99%

Construction of Underground and Multi-story Car Parks in High-density Urban Areas

Trushko,

Demenkov

2024

IJE

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In modern megacities, every day, people are faced with the problem of finding a place to park the cars, this problem is especially acute in the city center. The number of existing parking spaces is sorely lacking in view of the rapid growth in the number of cars. Therefore, the optimal solution for the construction and reconstruction of buildings in large metropolitan areas is the rational use of underground space, namely the construction of underground parking lots. The present work is an analysis on construction of underground and multi-story car parks in large cities through a case on the city of St. Petersburg, Russia. It considers optimal solutions for construction of underground car parks in complex geotechnical conditions using Plaxis 2D program. The purpose of the study is to develop technological solutions for the construction of underground parking lots in complex engineering and geological conditions of large megacities with the use of sheet pile fencing. Input data were collected from available engineering and geological surveys datasets obtained from construction sites. The methodology used was 2D design diagrams and a nonlinear Mohr-Coulomb model was used, which made it possible to assess as accurately as possible the geotechnical conditions in the construction area by analyzing horizontal and vertical displacements of the sheet pile wall, soil settlement at the bottom of the excavation, and the maximum settlement of a building located near the excavation. As a result, professional recommendations were developed for construction of underground and multi-storey car parks in complex geotechnical conditions: it is necessary to carry out complex geotechnical support of construction; when constructing a pit in difficult engineering and geological conditions, construct a pit with metal spacer systems (open pit); when constructing a pit near existing buildings and structures, it is very important to take into account the relative position of the base of the foundation and the pit being constructed; accurately and reliably perform calculations in the design and implementation of the construction of underground parking as part of new construction or reconstruction of previously constructed buildings in difficult engineering and geological conditions. The authors of the article have developed new technological solutions that are of great scientific and practical significance to improve the reliability and safety of preserved architectural monuments during the construction of underground parking lots, as well as the safety of neighboring buildings that may be affected by construction or reconstruction.

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“…The models are frequently used by engineers and scientists as computer-based design tools. Typical examples are finite element analysis models for mechanical and structural design and computational models for physical phenomena such as mechanical properties of soil and concrete [72][73][74][75][76][77]. As an example, consider the case of designing an earth dam to present an optimum configuration including stable slopes under seismic loading and F-T cycles, etc.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Mechanical Properties of Frozen Soils Using Response Surface Method: An Optimization Approach

Vahdani

Ghazavi

Roustaei

2020

IJE

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The present study was based on a promoting statistical method known as response surface method (RSM). RSM has been applied as an efficient method to optimize many physical applications in industry for more than two decades. In the current study, the RSM was utilized as a platform to develop models as a function of some prescribed input factors to predict mechanical properties (responses) of frozen soils (i.e. peak tensile/compressive strength, elasticity modulus). Besides, RSM makes it possible to find significant factors and probable interactions as well. A widespread literature review was conducted and three case studies were chosen to evaluate the performance of the RSM in developing precise models and finally an optimum experiment. For each case study, less than half of the available data (an average of 40.8%) was employed to develop models and the remaining part was employed to evaluate the validity of derived models. A comparison between predicted and measured data showed a good agreement with a significant level of 0.05. This indicates that upon using the model a hundred times to predict an specific property for different input factors, the maximum five predictions may diverge from the measured values with ± confidence interval. In addition, some contours were plotted to give a comprehensive presentation of any probable correlations between investigated properties and input factors. Based on the developed models with an average correlation coefficients (R 2) of 93.69, temperature was found to be the most significant factor affecting the mechanical properties of frozen fine soil, while the dry density was not as effective as the temperature.

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Reinforced Soil Wall Analysis under Working Stress Conditions Using a Two Phase Model with the Introduction of a New Design Parameter

Cited by 3 publications

References 22 publications

Inspection of two sophisticated models for sand based on generalized plasticity: Monotonic loading and Monte Carlo analysis

Inspection of two sophisticated models for sand based on generalized plasticity: Monotonic loading and Monte Carlo analysis

Construction of Underground and Multi-story Car Parks in High-density Urban Areas

Prediction of Mechanical Properties of Frozen Soils Using Response Surface Method: An Optimization Approach

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