Effects of Moisture Content and Plasticity Index on Duncan-Chang Model Parameters of Hydraulic Fill Soft Soil

AbstractNovel algorithm to determine the least cost formulation of a surimi blend was developed using linear programming (LP). Texture properties and the unit cost of surimi blend at the target moisture content were used as constraint functions and the objective function, respectively. The mathematical models to describe the moisture content dependence of the ring tensile properties were developed using critical moisture content, and the model parameters were used for the least cost LP (LCLP) model. The LCLP model successfully predicted the quality of surimi blend. Sensitivity analysis was used to obtain an additional information when the perturbations of design variables are provided. A standard procedure to determine the least cost formulation for blending surimi with varied moisture contents was systematically developed.

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Sensitivity Analysis of Smoothed Particle Hydrodynamics in PAM-CRASH for Modeling of Soft Soils

Volume 1: 15th International Conference on Advanced Vehicle Technologies; 10th International Conference on Design Education; 7th International Conference on Micro- and Nanosystems ◽

10.1115/detc2013-12024 ◽

2013 ◽

Author(s):

Ranvir Dhillon ◽

Moustafa El-Gindy ◽

Rustam Ali ◽

David Philipps ◽

Fredrik Öijer ◽

...

Keyword(s):

Smoothed Particle Hydrodynamics ◽

Soft Soil ◽

Strength Criterion ◽

Model Parameters ◽

Rapid Progression ◽

Element Analysis ◽

Particle Modeling ◽

Modeling Techniques ◽

Particle Hydrodynamics ◽

Smoothed Particle

The rapid progression of computational power and development of non-mesh particle modeling techniques provides solutions to problems which are not accurately modeled using traditional finite element analysis techniques. The field of soft soil modeling has been pressing on in recent years and the smoothed particle hydrodynamics (SPH) modeling method in PAM-CRASH provides opportunity for further advancement in accuracy. This research focuses on the development of soft soil models using SPH with verification using pressure-sinkage and shear strength criterion. Soil model parameters such as geometry and contact model are varied to determine the effect of the parameters on the behaviour of the soft soil and relationships are developed. The developed virtual soil models are compared against existing soils to determine which soils are accurately modeled and further refinements are made to validate the models with existing empirical data.

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Seismic Evaluation of Landmark Hydraulic Fill Dam on Soft Soil Foundation

Geotechnical Earthquake Engineering and Soil Dynamics V ◽

10.1061/9780784481455.053 ◽

2018 ◽

Author(s):

Lelio H. Mejia ◽

Maximiliano De Puy ◽

Antonio Abrego ◽

Erik Newman ◽

Rajendram Arulnathan

Keyword(s):

Soft Soil ◽

Seismic Evaluation ◽

Hydraulic Fill ◽

Soil Foundation ◽

Soft Soil Foundation

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Features of optimization of model parameters for solving geotechnical problems

MATEC Web of Conferences ◽

10.1051/matecconf/201825102035 ◽

2018 ◽

Vol 251 ◽

pp. 02035

Author(s):

Armen Ter-Martirosyan ◽

Vitalii Sidorov ◽

Lubov Ermoshina

Keyword(s):

Laboratory Tests ◽

Soft Soil ◽

Degree Of Approximation ◽

Creep Model ◽

Soil Parameters ◽

Model Parameters ◽

Soil Test ◽

Compression Tests ◽

Software Complex ◽

Input Parameters

At present, numerical methods of calculations, which are implemented in a large number of software complexes, are widely used in geotechnical practice and the definition of input parameters of the ground is very important and necessary to reflect the real work of the foundation of geotechnical structures [1-4]. There are often cases when the results obtained during laboratory tests of soils are not accepted by software complexes, errors are given, recommendations are proposed for changing the parameters in the direction of increasing or decreasing. In connection with these problems, the question arose about the need to optimize soil parameters obtained as a result of laboratory tests to compare and correct these parameters, based on the degree of approximation of model tests with laboratory tests [5]. Optimization of soil parameters can be carried out in the subroutine Soil test, incorporated in the PLAXIS geotechnical software [6]. Using the Soil test, the triaxial and compression tests are simulated based on the input parameters of the soil and the initial test data. The purpose of this study was to describe the methodology for optimizing the parameters of the Hardening Soil model and the Soft Soil Creep model using the PLAXIS 3D software geotechnical complex, as well as a comparative analysis of the results of laboratory soil tests with modeling results in software complex.

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The Duncan-Chang Model Parameters for Municipal Solid Waste

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.48-49.1235 ◽

2011 ◽

Vol 48-49 ◽

pp. 1235-1240

Author(s):

Zhen Ying Zhang ◽

Da Zhi Wu

Keyword(s):

Theoretical Analysis ◽

Municipal Solid Waste ◽

Solid Waste ◽

Void Ratio ◽

Practical Method ◽

Model Parameters ◽

Mechanical Parameters ◽

Initial Void Ratio ◽

The Relationship ◽

Chang Model

By theoretical analysis and laboratory test, the model parameters of Duncan-Chang for municipal solid waste have been studied. To obtain the mechanical parameters, a new simple and practical method has been established. Research results show that the damage ratio is 0.6, parameter n is about 1.05, parameter F varies between 0 and 0.1, and parameter G varies between 0.3 and 0.4. Besides, the relationship between parameter k and the initial void ratio is linear, and the slope of the line is 5.0.

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The Experiment Study on Parameters of Duncan-Chang Model for Silt Based on Different Water Content

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.665.213 ◽

2014 ◽

Vol 665 ◽

pp. 213-216

Author(s):

Xun Zhong Zhang ◽

Ru Heng Wang ◽

Bin Jia

Keyword(s):

Moisture Content ◽

Water Content ◽

Triaxial Test ◽

Nonlinear Behavior ◽

Optimum Moisture Content ◽

Experiment Study ◽

Optimal State ◽

Test Parameters ◽

Key Factor ◽

Chang Model

Duncan-Chang model can reflect soil’s nonlinear behavior much better, its’ concept is clear and easy to understand. In this paper, through triaxial test, parameters of Duncan-Chang model were gained by analyzing characteristics of Silt’s stress-strain Cures. A key factor, effecting silt’s stability, is the moisture content; there is a optimum moisture content in silt, in this moisture content, silt’s parameters of Duncan-Chang model can reach to the optimal state.

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Model for predicting resilient modulus of unsaturated subgrade soil using soil-water characteristic curve

Canadian Geotechnical Journal ◽

10.1139/cgj-2014-0339 ◽

2015 ◽

Vol 52 (10) ◽

pp. 1605-1619 ◽

Cited By ~ 40

Author(s):

Zhong Han ◽

Sai K. Vanapalli

Keyword(s):

Moisture Content ◽

Soil Water ◽

Resilient Modulus ◽

Characteristic Curve ◽

Optimum Moisture Content ◽

Model Parameters ◽

Soil Water Characteristic Curve ◽

Subgrade Soils ◽

Fine Grained ◽

Proposed Model

Soil suction (ψ) is one of the key factors that influence the resilient modulus (MR) of pavement subgrade soils. There are several models available in the literature for predicting the MR–ψ correlations. However, the various model parameters required in the existing models are generally determined by performing regression analysis on extensive experimental data of the MR–ψ relationships, which are cumbersome, expensive, and time-consuming to obtain. In this paper, a model is proposed to predict the variation of the MR with respect to the ψ for compacted fine-grained subgrade soils. The information of (i) the MR values at optimum moisture content condition (MROPT) and saturation condition (MRSAT), which are typically determined for use in pavement design practice; (ii) the ψ values at optimum moisture content condition (ψOPT); and (iii) the soil-water characteristic curve (SWCC) is required for using this model. The proposed model is validated by providing comparisons between the measured and predicted MR–ψ relationships for 11 different compacted fine-grained subgrade soils that were tested following various protocols (a total of 16 sets of data, including 210 testing results). The proposed model was found to be suitable for predicting the variation of the MR with respect to the ψ for all the subgrade soils using a single-valued model parameter ξ, which was found to be equal to 2.0. The proposed model is promising for use in practice, as it only requires conventional soil properties and alleviates the need for experimental determination of the MR–ψ relationships.

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At-Rest Earth Pressure Coefficient from Hypoelastic Model

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.243-249.2726 ◽

2011 ◽

Vol 243-249 ◽

pp. 2726-2731 ◽

Cited By ~ 1

Author(s):

Xiang Yu Shang ◽

Guo Qing Zhou

Keyword(s):

Finite Element Analysis ◽

Pressure Coefficient ◽

Earth Pressure ◽

Fem Analysis ◽

Model Parameters ◽

Test Results ◽

Element Analysis ◽

Hypoelastic Model ◽

Earth Pressure Coefficient ◽

Chang Model

At-rest earth pressure codfficient,K0,is very important in geotechnical engineering design and finite element analysis. At present, it’s treated as a constant usually for given soil in FEM analysis. However recent test results indicate that K0of both clay and sand varies with pressure increasing nonlinearly. It’s shown that Duncan-Chang model, a kind of hypoelastic model widely used, can reproduce K0varying with pressure. The calculating procedure of K0derived from Duncan-Chang’s E-B model is proposed, and then influence of model parameters on calculated K0is explored. Studies show that cohesionless soil’s calculated K0decreases with pressure increasing, while cohesive soil’s calculated K0increases with pressure increasing. Three of the seven model parameters, m, Kband Rf, have a positive correlation with calculated K0, and there is a negative correlation between the residual parameters and calculated K0.The influence of seven model parameters on the calculated K0decreases gradually in the following order: m ,n, Rf, φ, c, K, Kb.

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Pengaruh Penggunaan Pasir Putih Sebagai Bahan Tambah Untuk Stabilisasi Tanah Desa Bangkuang Kabupaten Barito Selatan

Jurnal Gradasi Teknik Sipil ◽

10.31961/gradasi.v3i2.749 ◽

2019 ◽

Vol 3 (2) ◽

pp. 1-7

Author(s):

Syahdi Syahdi ◽

Muhammad Suhaimi

Keyword(s):

Moisture Content ◽

Soil Properties ◽

Liquid Limit ◽

Optimum Moisture Content ◽

Plasticity Index ◽

Dry Density ◽

Maximum Dry Density ◽

White Sand ◽

Research Activities ◽

The Many

Tanah merupakan salah satu dari sekian banyak material yang bervariasi (heterogen) antara satu lokasi dengan lokasi yang lain., maka dalam penelitian ini melakukan penambahan material pasir putih yang kemudian dicampurkan dengan tanah asli yang berasal dari desa Bangkuang Kecapamatan Karau Kuala Kabupaten Barito selatan. Kegiatan penelitian dilakukan di laboratorium Geoteknik dan Transportasi Politeknik Negeri Banjarmasin meliputi beberapa metode pungujian dilakukan sesuai dengan standar penelitian yaitu: SNI 03-1965-2008, SNI 03-1964-2008, SNI 03-1967-2008, SNI 03-1965-2008,SNI 03-1743-2008 SNI 03-1738-2011, dan SNI 2828:2011. Hasil penelitian, dengan penambahan pasir putih sangat berpengaruh terhadap perbaikan sifat – sifat tanah yang akan digunakan untuk bahan stabilisasi subgredre, maka didapat nilai sifat-sifat tanah diberi bahan pasir putih (0%) meliputi; kadar air (W) 23,87%, berat jenis (Gs) 2,59, batas cair (LL) 33,9%, batas plastis (PL) 20,11%, plastisitas indeks (PI) 13,79%, kadar air optimum (OMC) 18,6%, kepadatan kering maksimum (dMax) 1,61 Gr/Cm3 dan CBR desain 5%. Nilai sifat-sifat tanah diberi bahan tambah pasir putih. Nilai sifat-sifat tanah diberi bahan tambah pasir putih (15%) meliputi; berat jenis gabungan (Gs) 2,62, batas cair (LL) 29,6%, batas plastis (PL) 19,52%, plastisitas indeks (PI) 10,08%, kadar air optimum (Omc) 81,5%, kepadatan kering maksimum (dMax)) 1,54 Gr/Cm3 dan CBR desain 6,1%, berat isi kering (d) 1,538 gr/cm³. Abstract Land is one of the many varied material (heterogeneous) between one site and another location., then in this research performs addition material of white sand is then blended with the native soil that comes from the village of Karau Kuala Kecapamatan District Bangkuang Barito South. Research activities carried out in the laboratory of Geotechnical and transportation State Polytechnic Banjarmasin includes several methods of pungujian conducted in accordance with the standards of research, namely: in accordance with the SNI 03-1965-2008, SNI 03-1964-2008, SNI 03-1967-2008, SNI 03-1965-2008, SNI 03-1743-2008, SNI 03-1738-2011, and SNI 2828:2011. Results of the study, with the addition of white sand is very influential towards the improvement of the nature – nature of the land to be used for subgredre stabilization materials, then obtained the value soil properties are given materials white sand (0%) include; moisture content (W) 23.87%, heavy types (Gs) 2.59, liquid limit (LL) 33.9%, limits plastis (PL) 20.11%, plasticity index (PI) 13.79%, optimum moisture content (OMC) 18.6%, maximum dry density (/dMax) 1.61 Gr/Cm3 and CBR design 5%. The value soil properties are given the added ingredient of white sand. The value soil properties are given the added ingredient of white sand (15%) include; the weight of the combined type (Gs) 2.62, liquid limit (LL) 29.6%, limits plastis (PL) 19.52%, plasticity index (PI) 10.08%, optimum moisture content (Omc) 81.5%, maximum dry density (/dMax)) 1.54 Gr/Cm3 and CBR design 6.1%, weight dry (/d) 1.538 gr/cm ³.

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