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Amir Mohammad Al-Ramady 한국방사성폐기물학회 2024 방사성폐기물학회지 Vol.22 No.1
In this research, a detailed analysis of the decay heat contributions of both actinides and non-actinides (fission fragments) from spent nuclear fuel (SNF) was made after 50 GWd·tHM−1 burnup of fresh uranium fuel with 4.5% enrichment lasted for 1,350 days. The calculations were made for a long storage period of 300 years divided into four sections 1, 10, 100, and 300 years so that we could study the decay heat and physical disposal ratios of radioactive waste in medium- and long-term storage periods. Fresh fuel burnup calculations were made using the code MCNP, while isotopic content and then decay heat were calculated using the built-in stiff equation solver in the MATLAB code. It is noted that only around 12 isotopes contribute more than 90% of the decay heat at all times. It is also noted that the contribution of actinides persists and is the dominant ether despite decreasing decay heat, while the effect of fission products decreases at a very rapid rate after about 40 years of storage.
Formulation of elastic modulus of concrete using linear genetic programming
Amir Hossein Gandomi,Amir Hossein Alavi,Mohammad Ghasem Sahab,Parvin Arjmandi 대한기계학회 2010 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.24 No.6
This paper proposes a novel approach for the formulation of elastic modulus of both normal-strength concrete (NSC) and high-strength concrete (HSC) using a variant of genetic programming (GP), namely linear genetic programming (LGP). LGP-based models relate the modulus of elasticity of NSC and HSC to the compressive strength, as similarly presented in several codes of practice. The models are developed based on experimental results collected from the literature. A subsequent parametric analysis is further carried out to evaluate the sensitivity of the elastic modulus to the compressive strength variations. The results demonstrate that the proposed formulas can predict the elastic modulus with an acceptable degree of accuracy. The LGP results are found to be more accurate than those obtained using the buildings codes and various solutions reported in the literature. The LGP-based formulas are quite simple and straightforward and can be used reliably for routine design practice.
Mohammad Khaksari,Gholamreza Asadikaram,Amir Rahnema,Mehdi Mahmoodi,Gholamhosein Hasanshahi,Mohammad Hashemi,Mohammad Khaksari 대한약리학회 2011 The Korean Journal of Physiology & Pharmacology Vol.15 No.6
It has been shown that some opium derivatives promote cell death via apoptosis. This study was designed to examine the influence of opium addiction on brain and liver cells apoptosis in male and female diabetic and non-diabetic Wistar rats. This experimental study was performed on normal, opium-addicted, diabetic and diabetic opium-addicted male and female rats. Apoptosis was evaluated by TUNEL and DNA fragmentation assays. Results of this study showed that apoptosis in opium-addicted and diabetic opium-addicted brain and liver cells were significantly higher than the both normal and diabetic rats. In addition, we found that apoptosis in brain cells of opium-addicted and diabetic opium-addicted male rats were significantly higher than opium-addicted and diabetic opium-addicted female, whereas apoptosis in liver cells of opium-addicted and diabetic opium-addicted female rats were significantly higher than opium-addicted and diabetic opium-addicted male. Overall, these results indicate that opium probably plays an important role in brain and liver cells apoptosis, therefore, leading neurotoxicity and hepatotoxicity. These findings also in away possibly means that male brain cells are more susceptible than female and interestingly liver of females are more sensitive than males in induction of apoptosis by opium.
A Bi-Objective Stochastic Closed-loop Supply Chain Network Design Problem Considering Downside Risk
Amir Mohammad Fathollahi Fard,Fatemeh Gholian-Jouybari,Mohammad Mahdi Paydar,Mostafa Hajiaghaei-Keshteli 대한산업공학회 2017 Industrial Engineeering & Management Systems Vol.16 No.3
This paper deals with a closed-loop supply chain network and proposes new approaches in metaheuristics and exact methods as solution methods. Moreover, the downside risk is incorporated into the objective functions as a risk measure. Hence, the developed two-stage stochastic model aims to minimize the expected total cost and the downside risk, simultaneously. Besides, this study presents the closed-loop network which considers the forward and reverse networks in an integrated manner. In the forward network, this case just considers the forward network, while, the reverse logistic fully focused on the backward network by considering recovering centers (i.e. from recovering centers to remanufacture, recycling and disposal centers). In order to address the problem, ICA, PSO, GA, and also ɛ-constraint method, are utilized. In addition, the parameters of algorithms are tuned by Response Surface Method (RSM) with an MODM approach. To explain the efficiency and effectiveness of methods, four assessment metrics are introduced. At the end, the results show the capability of ICA through the most of the tests problem. According to the risk management, a real data set is used to do some sensitivity analyses on the proposed model.
Amir Mohammad Mansouri,Ali Akbar Zinatizadeh,Mohsen Irandoust,Aazam Akhbari 한국화학공학회 2014 Korean Journal of Chemical Engineering Vol.31 No.1
Simultaneous removal of carbon and nutrients from a synthetic wastewater in aerobic/anoxic sequence batch reactor (SBR) was investigated. The experiments were conducted based on a central composite design (CCD)and analyzed using response surface methodology (RSM). Two significant independent variables, cycle time and aeration time, were studied to analyze the process. Five dependent parameters--total COD (TCOD) removal, total nitrogen removal,total phosphorus removal, total Kjeldahl nitrogen removal and effluent nitrate concentration--were monitored as the process responses. The region of exploration for the process was taken as the area enclosed by cycle times (2,4.25 and 6.5 h) and aeration times (30, 40 and 50 min/h) boundaries. The maximum COD (87.18%) and TKN (78.94%)removal efficiencies were obtained at the cycle time and aeration time of 6.5 h and 50 min/h, respectively. While the maximum TN (71.15%) and phosphorus (68.91%) removal efficiencies were obtained at cycle time of 6.5 h and aeration time of 40min/h. As a result, high cycle time (6.5 h) and moderate aeration time (40min/h) were found to be the optimal region for maximum carbon and nitrogen removal efficiencies.
Bio-recovery of municipal plastic waste management based on an integrated decision-making framework
Mohammad M. Shahsavar,Mehran Akrami,Zahra Kian,Mohammad Gheibi,Amir M. Fathollahi-Fard,Mostafa Hajiaghaei-Keshteli,Kourosh Behzadian 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.108 No.-
Recent years have seen a rapid development in industrialization and urbanization with a huge growth inthe population throughout the world. In this regard, an efficient and robust decision-making frameworkfor the concept of a green city and sustainable development goals to manage municipal plastic wastes isstill needed. This study models a bio-recovery of municipal different plastic wastes management basedon a new integrated Multi-Criterion Decision-Making (MCDM) approach through a case study inMashahd, Iran. The proposed integrated MCDM framework includes the Shannon Entropy (SE),Ordered Weighted Aggregation (OWA), Analytic Hierarchy Process (AHP), Technique for OrderPreference by Similarity to Ideal Solution (TOPSIS) and, ELimination Et Choice Translating REality(ELECTRE) systems in an intelligent way. Through decision-making computations, all criteria areapproved after extraction from the literature review by experts with more than 60% agreement percentage. Different scenarios of economic, energy, and environmental crises are created. One finding of thispaper is to propose a new entrance in economic competition with plastic biodegradation to present anovel, environmental-friendly product with high-quality and low-cost advantages. Another findingdetermines that with an application of plastic wastes bio-recovery, citizens’ satisfaction from urban managementsystem will be increased from 49% to 64%. Whereas, based on the outcomes of this investigation,the rate of municipal waste industries development, smart city goals’ meeting, and rate of hazardousmaterial emission from municipal solid wastes are increased to 58%, 25%, and 70%, respectively. Thedeclared numerical outcomes illustrate the effectiveness of plastic waste bio-recovery on the smart cityconcept.
The effect of sonication power on the sonochemical synthesis of titania nanoparticles
Amir Hassanjani-Roshan,Seyed Mohammad Kazemzadeh,Mohammad Reza Vaezi,Ali Shokuhfar 한양대학교 세라믹연구소 2011 Journal of Ceramic Processing Research Vol.12 No.3
Titanium dioxide (TiO2) nanoparticles were synthesized by a sonochemical method. C12H28O4Ti (Tetraisopropyl titanate),ethanol (C2H5OH), sodium hydroxide (NaOH) and deionized water were used as the initial materials. The output power of the ultrasonic device plays the most important role in the size and morphology of the final products. Sonochemical processes at different sonication power were carried out at synthesis temperature (50 oC) for 1.5 h and then the materials were washed and dried at room temperature for 48 h. To determine the particle size and also evaluate the morphological properties, X-ray diffraction (XRD) and transmission electron microscopy (TEM) were used. TG/DTA analysis was used to for determine the temperature and time of crystallization. From TEM observations the size of titanium dioxide nanoparticles is estimated to be significantly smaller than ~12 to ~30 nm.
A Metaheuristic for the Containership Feeder Routing Problem with Port Choice Process
Mohammad VAFERI,Mohammad Saied FALLAH,Amir Hossein TAYEBI 한국해운물류학회 2018 The Asian journal of shipping and Logistics Vol.34 No.2
In this paper, we focus on understanding the joint problem of container ship route generation and consolidation center selection, two important sub-problems influencing the effectiveness of the liners shipping industry, which addresses the ship-routing problem. Two different metaheuristics procedures are presented that both consist of two stages: a solution construction phase (either nearest neighborhood with greedy randomize and Clark and Wright with greedy randomize selection) and a solution improvement phase, based on local search. Both metaheuristics are compared in terms of quality of solution, robustness analysis and computing time under variety of instances, ranging from small to large. A thorough comparison evaluation uncovers that both metaheuristics are close-to-each other. An argument in favor of the nearest neighborhood with greedy randomize approach is that it produces better performance than Clark and Wright configuration. Additionally, through sensitivity analysis, we investigate and test two hypotheses in this paper.