Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
A new numerical solver for simulating porous media flow based on immersed boundary method
Date
2018-12-14
Author
Güler, Hasan Gökhan
Liu, Xiaofeng
Jensen, Bjarne
Tomaselli, Pietro D
Baykal, Cüneyt
Arıkawa, Taro
Yalçıner, Ahmet Cevdet
Metadata
Show full item record
Item Usage Stats
183
views
0
downloads
Cite This
In this study, we present and validate a new numerical solver in OpenFOAM®-v1706 called "ibmPorFoam" that is developed modifying IHFOAM (Higuera et al., 2014) with Immersed Boundary Method. IHFOAM is previously developed modifying interFoam solver of OpenFOAM® to solve flow properties in porous media. IHFOAM solves Volume Averaged Reynolds Averaged Navier-Stokes Equations, captures the free surface using Volume of Fluid method, and is capable of generating and absorbing waves. Immersed boundary method implemented in this study is based on body force approach given by Liu (2013). ibmPorFoam is validated in two parts by using k-∊ model as the turbulence closure. In the first part, a porous dam-break experiment (Lin, 1998) is studied as a 2D case study (Figure 1). Free surface measurements inside and outside the porous medium are compared with the numerical results. In the second part, 3D numerical simulations (Figure 2) are carried out to determine flow properties around a rigid, impervious box based on the experimental setup of Kleefsman et al. (2005). Numerical results are compared with the experimental results at wave gauges along the channel and pressure gauges located on the box. Both experimental cases are also simulated using IHFOAM to observe the differences in the numerical solvers. It is seen that the results of numerical simulations conducted with ibmPorFoam are in fairly well-agreement with both experimental results and numerical results from IHFOAM.
URI
https://hdl.handle.net/11511/83556
Conference Name
American Geophysical Union, Fall Meeting (2018)
Collections
Department of Civil Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
A neuro-fuzzy MAR algorithm for temporal rule-based systems
Sisman, NA; Alpaslan, Ferda Nur; Akman, V (1999-08-04)
This paper introduces a new neuro-fuzzy model for constructing a knowledge base of temporal fuzzy rules obtained by the Multivariate Autoregressive (MAR) algorithm. The model described contains two main parts, one for fuzzy-rule extraction and one for the storage of extracted rules. The fuzzy rules are obtained from time series data using the MAR algorithm. Time-series analysis basically deals with tabular data. It interprets the data obtained for making inferences about future behavior of the variables. Fu...
A new likelihood approach to autonomous multiple model estimation
Söken, Halil Ersin (Elsevier BV, 2020-04-01)
This paper presents an autonomous multiple model (AMM) estimation algorithm for hybrid systems with sudden changes in their parameters. Estimates of Kalman filters (KFs) that are tuned and employed for different system modes are merged based on a newly defined likelihood function without any necessity for filter interaction. The proposed likelihood function is composed of two measures, the filter agility measure and the steady-state error measure. These measures are derived based on filter adaptation rules....
A generative model for multi class object recognition and detection
Ulusoy, İlkay (2006-01-01)
In this study, a generative type probabilistic model is proposed for object recognition. This model is trained by weakly labelled images and performs classification and detection at the same time. When test on highly challenging data sets, the model performs good for both tasks (classification and detection).
A Modified Parallel Learning Vector Quantization Algorithm for Real-Time Hardware Applications
Alkim, Erdem; AKLEYLEK, SEDAT; KILIÇ, ERDAL (2017-10-01)
In this study a modified learning vector quantization (LVQ) algorithm is proposed. For this purpose, relevance LVQ (RLVQ) algorithm is effciently combined with a reinforcement mechanism. In this mechanism, it is shown that the proposed algorithm is not affected constantly by both relevance-irrelevance input dimensions and the winning of the same neuron. Hardware design of the proposed scheme is also given to illustrate the performance of the algorithm. The proposed algorithm is compared to the corresponding...
A Favorable Weight-Based Evolutionary Algorithm for Multiple Criteria Problems
SOYLU, Banu; Köksalan, Mustafa Murat (Institute of Electrical and Electronics Engineers (IEEE), 2010-04-01)
In this paper, we present a favorable weight-based evolutionary algorithm for multiple criteria problems. The algorithm tries to both approximate the Pareto frontier and evenly distribute the solutions over the frontier. These two goals are common for many multiobjective evolutionary algorithms. To achieve these goals in our algorithm, each member selects its own weights for a weighted Tchebycheff distance function to define its fitness score. The fitness scores favor solutions that are closer to the Pareto...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
H. G. Güler et al., “A new numerical solver for simulating porous media flow based on immersed boundary method,” presented at the American Geophysical Union, Fall Meeting (2018), Washington, United States Of America, 2018, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/83556.