Groundwater parameter estimation by optimization and DRBEM

Harrouni, Khalid El; Ouazar, Driss; Wrobel, L.C.; Cheng, Alexander H.‐D.

doi:10.1016/s0955-7997(97)00016-7

Cited by 12 publications

(7 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With these improvements, the BEM became a notable tool for simulating the fracturing process. The other variants of BEM are Galerkin BEM (GBEM) [78,79] and Dual-reciprocity BEM (DRBEM) [80,81]. The list of most notable continuum methods is given in Tab.…”

Section: The Boundary Element Methods (Bem)mentioning

confidence: 99%

Overview of the numerical methods for the modelling of rock mechanics problems

2016

View full text Add to dashboard Cite

Subject reviewThe numerical methods have their origin in the early 1960s and even at that time it was noted that numerical methods can be successfully applied in various engineering and scientific fields, including the rock mechanics. Moreover, the rapid development of computers was a necessary background for solving computationally more demanding problems and the development process of the methods in general. Thus, we have many different methods presently, which can be separated into two main branches: continuum and discontinuum-based numerical methods. Some problems require the strengths of both main approaches which brought the hybrid continuum/discontinuum methods. The first goal of this paper is to present the state of the art numerical methods and approaches for solving the rock mechanics problems, as well as to give the brief explanation about the theoretical background of each method. The second goal is to emphasise the area of applicability of the methods in rock mechanics. Keywords: numerical methods; numerical modelling; rock mechanics Pregled numeričkih metoda za modeliranje u mehanici stijenaPregledni rad Počeci numeričkih metoda sežu u rane 1960-e. Već tada je bilo jasno da numeričke metode mogu biti uspješno upotrijebljene za različita inženjerska i znanstvena područja, uključujući i primjenu u mehanici stijena. Ubrzan razvoj računala je omogućavao razvoj numeričkih metoda i rješavanje računalno zahtjevnijih sustava. Takav razvoj doveo je do velikog broja različitih metoda i pristupa koji se mogu svrstati u dvije skupine: metode kontinuuma i metode diskontinuuma. Određene zadaće zahtijevaju prednosti oba pristupa, što je dovelo do razvoja kombiniranih konačno-diskretnih metoda. Prvi cilj ovog rada je predstavljanje numeričkih metoda i pristupa koji se koriste za rješavanje zadaća u mehanici stijena, kao i kratko objašnjenje osnovnih teorijskih postavki svake od metoda. Drugi cilj je osvrt na primjenjivost pojedine metode u mehanici stijena.

show abstract

Section: The Boundary Element Methods (Bem)mentioning

confidence: 99%

Overview of the numerical methods for the modelling of rock mechanics problems

2016

View full text Add to dashboard Cite

show abstract

“…The determination of aquifer parameters (also termed as inverse problem) has always been a challenge because of its ill-posedness [2][3][4][5][6][7]12,13]. ANNs is solving many complex real world-predicting problems.…”

Section: Introductionmentioning

confidence: 99%

Identification of Hydraulic Parameters of Wadi El Natrun Pliocene Aquifer Using Artificial Neural Network

Khalaf¹,

Ao²,

Mg³

et al. 2017

Hydrol Current Res

View full text Add to dashboard Cite

Many techniques, approaches and tools were used in this Research to achieve the Methodology. Using artificial neural network to simultaneous hydraulic parameters is one of these techniques. Transmissivity and storativity consider the most important parameter in each aquifer due to the reality of their effect on the aquifer properties. In this research, it is assumed that the transmissivity (T) and the storativity (S), represented by coordinates (X), (Y), hydraulic head (H), and observation times (t). These variables were chosen depending on the literature review. In the present study, the hydraulic head values at each cell (H) and the location of the cells (x, y) are considered as input parameters for finding the unknown parameters. The transmissivity (T) and storativity values (S) at cells are assumed and used in the finite difference method (Forward model) in order to find the value of hydraulic head at that cell. The hydraulic head values were used in the artificial neural networks (Inverse model) to estimate transmissivity (T) and storativity values (S) for Wadi El Natrun Depression. The study is based on coupling of forward model and inverse model. In general, the parameter estimation process consists of identifying a model that would reverse a complex forward relation.

show abstract

“…Zijlstra and Dane [6] used a quasi-Newton method to identify hydraulic parameters in layered 2 Mathematical Problems in Engineering soils. El Harrouni et al [7] presented a method of estimating the groundwater parameter using optimization. Prasad and Rastogi [8] studied an inverse method of estimating the hydraulic conductivity values based on a genetic algorithm.…”

Section: Introductionmentioning

confidence: 99%

Back Analysis of the Permeability Coefficient of a High Core Rockfill Dam Based on a RBF Neural Network Optimized Using the PSO Algorithm

Chi

Liu

2015

Mathematical Problems in Engineering

View full text Add to dashboard Cite

It is important to determine the seepage field parameters of a high core rockfill dam using the seepage data obtained during operation. For the Nuozhadu high core rockfill dam, a back analysis model is proposed using the radial basis function neural network optimized using a particle swarm optimization algorithm (PSO-RBFNN) and the technology of finite element analysis for solving the saturated-unsaturated seepage field. The recorded osmotic pressure curves of osmometers, which are distributed in the maximum cross section, are applied to this back analysis. The permeability coefficients of the dam materials are retrieved using the measured seepage pressure values while the steady state seepage condition exists; that is, the water lever remains unchanged.Meanwhile, the parameters are tested using the unstable saturated-unsaturated seepage field while the water level rises. The results show that the permeability coefficients are reasonable and can be used to study the real behavior of a seepage field of a high core rockfill dam during its operation period.

show abstract

Groundwater parameter estimation by optimization and DRBEM

Cited by 12 publications

References 13 publications

Overview of the numerical methods for the modelling of rock mechanics problems

Overview of the numerical methods for the modelling of rock mechanics problems

Identification of Hydraulic Parameters of Wadi El Natrun Pliocene Aquifer Using Artificial Neural Network

Back Analysis of the Permeability Coefficient of a High Core Rockfill Dam Based on a RBF Neural Network Optimized Using the PSO Algorithm

Contact Info

Product

Resources

About