Parameter Identification Approaches to Fractal Model of Mass Transport for Unsaturated Soils

Li, Shouju; Liu, Yingxi

doi:10.1142/s0217984905010323

Cited by 10 publications

(5 citation statements)

References 1 publication

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“…1,2 GAs are based on the simulation of genetic processes in living organisms and as well as the principles of natural evolution. The algorithms work with a population of chromosomes, each of which represents one potential solution from a search space through consistent application of such evolutionary operators as selection, crossover and mutation.…”

Section: Introductionmentioning

confidence: 99%

Thermoluminescence curves simulation using genetic algorithm with factorial design

Popko

Weinstein

2016

Mod. Phys. Lett. B

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The evolutionary approach is an effective optimization tool for numeric analysis of thermoluminescence (TL) processes to assess the microparameters of kinetic models and to determine its effects on the shape of TL peaks. In this paper, the procedure for tuning of genetic algorithm (GA) is presented. This approach is based on multifactorial experiment and allows choosing intrinsic mechanisms of evolutionary operators which provide the most efficient algorithm performance. The proposed method is tested by considering the "one trap-one recombination center" (OTOR) model as an example and advantages for approximation of experimental TL curves are shown.

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Section: Introductionmentioning

confidence: 99%

Thermoluminescence curves simulation using genetic algorithm with factorial design

Popko

Weinstein

2016

Mod. Phys. Lett. B

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“…Thus, the efficiency and productivity of the excavation can be increased and the associated cost can be reduced. Commonly used parameter identification procedures include using optimization procedures [1,2], genetic algorithms [3,4], neural networks [4,5], evolution algorithms [6], particle swarm optimizations [7], ant colony system algorithms, calibration methods [8], hybrid optimization algorithms [9], and Levenberg-Marquardt algorithms [10,11]. Shield tunneling has become a well-established tunnel construction method for various ground conditions.…”

Section: Introductionmentioning

confidence: 99%

A procedure of parameter inversion for a nonlinear constitutive model of soils with shield tunneling

Duan

et al. 2011

Computers & Mathematics with Applications

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a b s t r a c tThe identification of the parameters of a nonlinear constitutive model of soil mass is based on an inverse analysis procedure, which consists of minimizing the objective function representing the difference between the experimental data and the calculated data of the mechanical model. A gradient-based optimization algorithm is developed for estimating model parameters of soils in earth pressure balance (EPB) shield tunneling.The parameter values of the nonlinear constitutive model are searched for by using the Levenberg-Marquardt approximation which can provide fast convergence. The parameter identification results illustrate that the proposed parameter inversion procedure has not only higher computing efficiency but also better identification accuracy. The results from the model are compared with simulated observations. The models are found to have good predictive ability and are expected to be very useful for estimating model parameters for soils in EPB shield tunneling.

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“…12 The fractal geometry has been widely used in seepage analysis, thermal simulation, mass transport, diffusion problem, and other rock mechanics domains. [13][14][15][16][17][18][19][20][21][22][23] The objectives of this paper are to present a new derivation of the thermal conductivity vs fractal dimensions, to propose a modeling algorithm for porous materials, to analyze the influence of soil porosity on the equivalent thermal conductivity, and to investigate the scaling characteristics of fractal materials.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Thermal Conductivity of Porous Material With Fem and Fractal Geometry

Wang

Liu

et al. 2009

Int. J. Mod. Phys. C

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The relationship between thermal conductivity of porous material and fractal dimension is numerically simulated by using the finite element method. The solid matrix and pore space are generated randomly according to material porosity. Material parameters and element properties are changed by using ANSYS parameter design language. The effective thermal conductivity is derived according to thermal flux through some sections computed by FEM and Fourier heat transform law. The investigation shows that the effective thermal conductivity decreases with increasing porosity. The effective thermal conductivity will decrease exponentially with increasing fractal dimension of porosity space and increase exponentially with increasing fractal dimension of solid matrix.

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Parameter Identification Approaches to Fractal Model of Mass Transport for Unsaturated Soils

Cited by 10 publications

References 1 publication

Thermoluminescence curves simulation using genetic algorithm with factorial design

Thermoluminescence curves simulation using genetic algorithm with factorial design

A procedure of parameter inversion for a nonlinear constitutive model of soils with shield tunneling

Estimation of Thermal Conductivity of Porous Material With Fem and Fractal Geometry

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