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Alireza Mohebbi,Mohammad Shekarchi,Shima Mohebbi,Mehrdad Mahoutian 사단법인 한국계산역학회 2011 Computers and Concrete, An International Journal Vol.8 No.3
The main purpose of this study includes investigation of the rheological properties of fresh self consolidating cement paste containing chemical and mineral additives using Artificial Neural Network (ANN) model. In order to develop the model, 200 different mixes are cast in the laboratory as a part of an extensive experimental research program. The data used in the ANN model are arranged in a format of fourteen input parameters covering water-binder ratio, four different mineral additives (calcium carbonate,metakaolin, silica fume, and limestone), five different superplasticizers based on the poly carboxylate and naphthalene and four different Viscosity Modified Admixtures (VMAs). Two common output parameters including the mini slump value and flow cone time are chosen for measuring the rheological properties of fresh self consolidating cement paste. Having validated the model, the influence of effective parameters on the rheological properties of fresh self consolidating cement paste is investigated based on the ANN model outputs. The output results of the model are then compared with the results of previous studies performed by other researchers. Ultimately, the analysis of the model outputs determines the optimal percentage of additives which has a strong influence on the rheological properties of fresh self consolidating cement paste. The proposed ANN model shows that metakaolin and silica fume affect the rheological properties in the same manner. In addition, for providing the suitable rheological properties, the ANN model introduces the optimal percentage of metakaolin, silica fume, calcium carbonate and limestone as 15, 15, 20 and 20% by cement weight, respectively.
Masoud Mohebbi,Mohammad Ali Rezvani 한국풍공학회 2021 Wind and Structures, An International Journal (WAS Vol.32 No.6
This perusal surveys the design criteria indispensable for fences that are installed alongside the high-speed railway tracks to protect the passing high-speed rolling stock under strong side winds. Using a numerical code based on Lattice Boltzmann Method (LBM) it is attempted to initially investigate the airflow behavior behind the fences. A variety of geometries for air fences in a two-dimensional space are compared. A wind tunnel test is performed to verify the numerical results. The three-dimensional flow patterns around the German Intercity Express (ICE3) high-speed train with and without the air fences are numerically examined to be more realistic. It is found that the presence of the fences has a significant impact on decreasing the intensity of the airflow above the train. The edges on the top of the fences cause more reduction in the velocity of air flowing above the train.
A new approach for modeling of multicomponent gas hydrate formation
Vahid Mohebbi,Reza Mosayyebi Behbahani,Abbas Naderifar 한국화학공학회 2017 Korean Journal of Chemical Engineering Vol.34 No.3
Several models have been proposed to investigate the kinetics of gas hydrate formation. The main differences between the proposed models are the definition of the driving force, thermodynamics approach and the number of resistances to study the gas consumption by the hydrate phase. This paper concentrates on gas hydrate formation from multicomponent mixture, which has not been much studied before. In the present research, chemical potential has been considered as the driving force and, consequently, a new resistance coefficient was introduced. A complete discussion and reasonable assumptions has been provided to support this modelling.
Samantha E. Russell(Samantha E. Russell ),David R. Skvarc(David R. Skvarc ),Mohammadreza Mohebbi(Mohammadreza Mohebbi ),David Camfield(David Camfield ),Linda K. Byrne(Linda K. Byrne ),Alyna Turner(Aly 대한정신약물학회 2023 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.21 No.2
Objective: N -acetylcysteine (NAC) is a novel therapeutic agent with multiple mechanisms of action in the central nervous system and a favourable side effect profile. Clinical evidence indicates that adjunctive NAC may reduce the severity of depressive symptoms in individuals with major depressive disorder (MDD). Methods: A 12-week randomised controlled trial of 2,000 mg/day adjunctive NAC for MDD found no significant improvement at the primary endpoint (week 12) but did see improvements at the post-discontinuation interview (week 16). Within the context of patient-centered treatment, mixed-methods qualitative analysis was also included to explore factors that may determine individual responses to adjunctive NAC treatment. These data were drawn, under blinded conditions, from clinician notes recorded in the case report form. Using the DSM-5 symptom profile for MDD as the initial framework, themes were developed and explored. Frequencies were compared between placebo and NAC groups. Results: Per protocol analysis of individual themes across the six interviews revealed group differences in favour of NAC for overall depressive affect, optimism, relationships and reduced functional impairment. Conclusion: This study provides further evidence for the utility of the mixed methods approach complimenting the primary findings using traditional quantitative analyses, as well as being able to capture additional, often more subtle, evidence of individual symptom-level change that reflects improvement in functional abilities in response to NAC supplementation. The use of mixed methods to explore outcomes from psychiatric studies should be considered in future to work towards improved patient-centred care and both confirm quantitative findings and generate novel hypotheses.
ON THE PROXIMAL POINT METHOD FOR AN INFINITE FAMILY OF EQUILIBRIUM PROBLEMS IN BANACH SPACES
Khatibzadeh, Hadi,Mohebbi, Vahid Korean Mathematical Society 2019 대한수학회보 Vol.56 No.3
In this paper, we study the convergence analysis of the sequences generated by the proximal point method for an infinite family of pseudo-monotone equilibrium problems in Banach spaces. We first prove the weak convergence of the generated sequence to a common solution of the infinite family of equilibrium problems with summable errors. Then, we show the strong convergence of the generated sequence to a common equilibrium point by some various additional assumptions. We also consider two variants for which we establish the strong convergence without any additional assumption. For both of them, each iteration consists of a proximal step followed by a computationally inexpensive step which ensures the strong convergence of the generated sequence. Also, for this two variants we are able to characterize the strong limit of the sequence: for the first variant it is the solution lying closest to an arbitrarily selected point, and for the second one it is the solution of the problem which lies closest to the initial iterate. Finally, we give a concrete example where the main results can be applied.
Hamidreza Bagheri,Ali Mohebbi 한국화학공학회 2017 Korean Journal of Chemical Engineering Vol.34 No.10
Critical properties and acentric factor (ω) of 31 ionic liquids (ILs) were obtained by using vapor-liquid equilibrium data of solvent+IL consisting of P-T and P-x experimental data, based on three-parameter Patel-Teja equation of state and genetic algorithm. Optimized Pc, Tc and ω of ILs with Peng-Robinson equation of state (PR EoS) were used to model the behavior of phase equilibria of solvent+IL. Due to lack of experimental data for optimized properties, the validation was done by comparing them to the results in the literature. In each comparison the average absolute percent deviation (AAPD) for optimized properties was based on P-T experimental data, with PR EoS was minimum. For more confidence in the correctness of optimized properties, the behavior of phase equilibria of two new mixtures (i.e., water+emimDMP and methanol+emimDMP), the density and vapor pressure of some pure ILs were predicted by PR EoS, which the prediction of this EoS was satisfactory.
Farnaz Hosseini,Sajjad Mohebbi 한국공업화학회 2020 Journal of Industrial and Engineering Chemistry Vol.85 No.-
Photocatalytic reduction of Zn2+, Cu2+ and Pb2+ ions were performed using modified titanium dioxidenanoparticles with histidine (His) and imidazole (IM) as the modifier and characterized by FT-IR, X-RD,FESEM, EDAX, TEM and A.A.S. techniques. The anatase phase titanium dioxide nanoparticles with the sizedistribution of 25–45 nm were obtained by the Sol–Gel Method. In the case of Cu2+, the reduction reactionwas completed in 10 min. The photo-reduction yields of Pb2+ and Zn2+ ions achieved to 98% removalduring 60 and 160 min, respectively. The immobilized modifiers on the TiO2 surface accelerate theelectron transfer from TiO2 to the metal ion via imidazole bridge upon ultraviolet light irradiation. Thisphotocatalytic reduction could be proceeded through chemisorption, reduction and desorption processesof metal ions on the surface of modified TiO2, sequentially and repeatably. Herein, methanol was playedas an artificial electron donor. These hybrid photocatalysts were reused several times without losingefficiency while the highest reduction yield was achieved for TiO2@His NPs. So, modified TiO2 with aminoacids could be an excellent candidate for metal ion reduction by an inexpensive method with advantagesof high performance, high activity, reusability, easily prepared, easily separate, environmentally friendlyand short reaction time.