I. Tarras

University of Hassan II Casablanca

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A. Hader

University of Hassan II Casablanca

Y. Boughaleb

University of Hassan II Casablanca

Yassine Ezaier

École Normale Supérieure Casablanca

S. Moushi

University of Hassan II Casablanca

I. Achik

University of Hassan II Casablanca

L. Amallah

École Normale Supérieure Casablanca

R. Bakir

École Normale Supérieure Casablanca

Rachid Et Touizi

University of Hassan II Casablanca

Ahmed El Hana

University of Hassan II Casablanca

M. Tanasehte

University of Hassan II Casablanca

Cooperative Institutions

University of Hassan II Casablanca

École Normale Supérieure Casablanca

Université Hassan II Mohammedia

Chouaib Doukkali University

École Normale Supérieure

Centre National pour la Recherche Scientifique et Technique (CNRST)

Mohammed V University

Université Sultan Moulay Slimane

École Marocaine des Sciences de l'Ingénieur

Universidade do Estado de Mato Grosso

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Study of nanofiltration membrane process by Langevin dynamic model

Multidiscipline Modeling in Materials and Structures (2024)

Achraf Chahbi Meriem Korchi Yassine Ezaier Rachida Moultif A. Hader

Purpose The model incorporates key factors of membrane such as permeability and resistance, feed concentration, fluid viscosity and pressure differentials. Special emphasis is placed on the fouling mechanisms, including pore blockage and cake layer formation, which significantly impact the efficiency of the filtration process. Design/methodology/approach In this study, we present a numerical analysis of permeate flux through a membrane, focusing on the intricate dynamics of fouling phenomena. Utilizing the Langevin model, we simulate the permeation process to understand how various operational parameters affect the flux rates. Findings Our results demonstrate that fouling not only reduces the permeate flux but also alters the membrane’s hydraulic resistance over time. The results show that the increasing of the diffusion process on membrane reduces the clogging phenomenon. Hence, the increases of the transmembrane pressure reduce exponentially blocking pore process. Originality/value By analyzing these changes, we provide insights into optimizing membrane performance and developing strategies to mitigate clogging membrane. This research contributes to the field of membrane technology by enhancing our understanding of permeate flux behavior under fouling conditions and offering potential pathways for improving long-term operational sustainability.

Nanofiltration

Langevin dynamics

Langevin equation

10.1108/mmms-07-2024-0192

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Simulation and Analysis of Collective Self-Propelled Movement in the Presence of a Leader

ABDELHAQ EDDAKOUN A. Hader I. Tarras Abdelhadi Elbachiri Mouhcine Belissaoui

10.2139/ssrn.4935532

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Stochastic process describing fluid flow in porous media: Langevin dynamics

Materials Today Proceedings (2022)

Ahmed El Hana A. Hader Youness Hajji L. Amallah Yassine Hariti

10.1016/j.matpr.2022.06.028

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Citations (3)

COLLECTIVE BEHAVIOR OF INTERACTING PARTICLES: RADIUS-DEPENDENT PHASE TRANSITION

Modern Physics Letters B (2013)

I. Tarras Najem Moussa M. Mazroui Y. Boughaleb Abdelowahed Hajjaji

The aim of this paper is to study and discuss the effect of three zones (repulsion zone, orientation zone and attraction zone) on the phase transition in 2D-collective moving particles. Our main motivation is to better understand the complex behavior of non-equilibrium multi-agent system by extending the earlier and original model proposed by Viscek et al. [T. Viscek et al., Phys. Rev. Lett.75 (1995) 1226] for one zone. The analysis is performed over different situations by using a numerical simulation method. It is found that the radius R 2 of orientation zone plays an important role in the system. In effect, by varying the parameter R 2 a phase transition can be achieved from disordered moving of individuals to a group to highly aligned collective motion. The results also show that, the critical value of R 2 at which the transition emerges depends strongly on the size of the repulsion zone but not on the size of attraction one.

Collective Behavior

Collective motion

10.1142/s0217984913500280

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Citations (26)

Fatigue and Failure Mechanism Induced by Mechanical Strain and Electrochemical Cycling of Li+ Intercalation and Deintercalation in CF Structural Batteries

Journal of Electronic Materials (2024)

Manal Karim Hafsa Mallah M. Tanasehte Rachida Moultif A. Hader

Cycling

Strain (injury)

Failure mechanism

Mechanical failure

10.1007/s11664-024-11389-y

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Non-universality in the 2D flocking model

Modern Physics Letters B (2014)

I. Tarras M. Mazroui Najem Moussa Y. Boughaleb

In this paper, we discuss the universality of the critical exponents β and δ found in the Viscek model for one zone of interaction in the 2D flocking model. Within the framework of this model, the particles move with the same absolute velocity v 0 and interact locally by trying to align their direction with that of neighbors. In this paper, we include a second zone of interaction named zone of repulsion R 1 , where each agent attempts to maintain a minimum distance from the others. Our model results show that in order to maintain an order in a flock with higher density, it is necessary to decrease the region of repulsion around each individual. Depending on the noise and on the density, the order parameter v a is found to scale as [Formula: see text] and [Formula: see text], respectively. Our findings show that the exponents β and δ depend strongly on the size of the repulsion zone and on the density ρ, indicating the non-universality of these critical exponents. The analysis is performed over different situations by using a numerical simulation technique.

Flocking (texture)

10.1142/s0217984914501371

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Citations (9)

Study of elastic interaction in collective motion phenomenon

Modern Physics Letters B (2023)

ABDELHAQ EDDAKOUN A. Hader I. Tarras L. Amallah R. Et-Touizi

In nature, living organisms move in a collective state of aggregation, this collective motion is influenced by the nature of the environment, the obstacles refocused during the movement and the local interaction between individuals, this interaction is responsible for avoiding collision between each individual. In this paper, we study numerically the collective motion of self-organized organisms by expanding the Langevin dynamics, in which we have modeled the interaction between individuals by an elastic force. Modeling the interaction between individuals using an elastic force gives remarkable results. This interaction has an important effect if the individuals are dispersed a lot in space, but if a certain number of particles N is exceeded, this force is of no importance and the saturation velocity becomes constant. The results of the numerical simulation show that the average velocity of the individuals goes through a transient regime before reaching the permanent regime. Moreover, the results show that the system represents a transition from a nonequilibrium state to an equilibrium state, which is similar to a second-phase transition (paramagnetic/ferromagnetic) in the absence of the magnetic field; this phase transition is observable if the distance between two individuals is greater than a critical radius noted [Formula: see text].

Collective motion

Interaction model

10.1142/s0217984923502305

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Citations (1)

The combined effect of attraction and orientation zones in 2D flocking models

International Journal of Modern Physics B (2016)

I. Tarras Dorilson. S. Cambui

In nature, many animal groups, such as fish schools or bird flocks, clearly display structural order and appear to move as a single coherent entity. In order to understand the complex motion of these systems, we study the Vicsek model of self-propelled particles (SPP) which is an important tool to investigate the behavior of collective motion of live organisms. This model reproduces the biological behavior patterns in the two-dimensional (2D) space. Within the framework of this model, the particles move with the same absolute velocity and interact locally in the zone of orientation by trying to align their direction with that of the neighbors. In this paper, we model the collective movement of SPP using an agent-based model which follows biologically motivated behavioral rules, by adding a second region called the attraction zone, where each particles move towards each other avoiding being isolated. Our main goal is to present a detailed numerical study on the effect of the zone of attraction on the kinetic phase transition of our system. In our study, the consideration of this zone seems to play an important role in the cohesion. Consequently, in the directional orientation, the zone that we added forms the compact particle group. In our simulation, we show clearly that the model proposed here can produce two collective behavior patterns: torus and dynamic parallel group. Implications of these findings are discussed.

Flocking (texture)

Collective Behavior

Collective motion

Cohesion (chemistry)

10.1142/s0217979216500028

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Citations (12)

EFFECTS OF AGENT'S REPULSION IN 2D FLOCKING MODELS

International Journal of Modern Physics C (2011)

Najem Moussa I. Tarras M’hammed Mazroui Y. Boughaleb

In nature many animal groups, such as fish schools or bird flocks, clearly display structural order and appear to move as a single coherent entity. In order to understand the complex behavior of these systems, many models have been proposed and tested so far. This paper deals with an extension of the Vicsek model, by including a second zone of repulsion, where each agent attempts to maintain a minimum distance from the others. The consideration of this zone in our study seems to play an important role during the travel of agents in the two-dimensional (2D) flocking models. Our numerical investigations show that depending on the basic ingredients such as repulsion radius (R 1 ), effect of density of agents (ρ) and noise (η), our nonequilibrium system can undergo a kinetic phase transition from no transport to finite net transport. For different values of ρ, kinetic phase diagrams in the plane (η ,R 1 ) are found. Implications of these findings are discussed.

Flocking (texture)

Collective Behavior

10.1142/s0129183111016518

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Citations (17)

Behavioral transitions induced by speed and noise in animal aggregates

International Journal of Modern Physics B (2017)

Dorilson. S. Cambui I. Tarras

In this paper, we used a self-propelled particle model to study the transition between phases of collective behavior observed in animal aggregates. In these systems, transitions occur when individuals shift from one collective state to another. We investigated transitions induced by both the speed and the noise. Statistical quantities that characterize the phase transition driven by noise, such as order parameter, the Binder cumulant and the susceptibility were analyzed, and we used the finite-size scaling theory to estimate the critical exponent ratios [Formula: see text] and [Formula: see text].

Exponent

Collective Behavior

10.1142/s0217979217500734

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Citations (4)