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Nuclear design of an integrated small modular reactor based on the APR-1400 for RO desalination purposes

Nuclear Science and Techniques 2022年第8期33卷 1-15页

作者： Reem Rashed Alnuaimi bassam khuwaileh Muhammad Zubair Donny Hartanto Department of Mechanical and Nuclear Engineering University of SharjahP.O.BOX 27272SharjahUAE Oak Ridge National Laboratory 1 Bethel Valley RoadOak RidgeTN 37830USA

The United Arab Emirates lacks conventional water resources and relies primarily on desalination plants powered by fossil fuels to produce fresh water.Nuclear desalination is a proven technology,cost-competitive,and sustainable option capable of integrating the existing largescale desalination plants to produce both freshwater and electricity.However,Small Modular Reactors(SMRs)are promising designs with advanced simplified configurations and inherent safety features.In this study,an Integrated Desalination SMR that produces thermal energy compatible with the capacity of a fossil fuel-powered desalination plant in the UAE was designed.First,the APR-1400 reactor core was used to investigate two 150 MWthconceptual SMR core designs,core A and core B,based on two-dimensional parameters,radius,and height.Then,the CASMO-4 lattice code was used to generate homogenized few-group constants for optimized fuel assembly loading patterns.Finally,to find the best core configuration,SIMULATE-3 was used to calculate the core key physics parameters such as power distribution,reactivity coefficients,and critical boron concentration.In addition,different reflector materials were investigated to compensate for the expected high leakage of the small-sized SMR cores.The pan shape core B model(142.6132 cm diameter,100 cm height,and radially reflected by Stainless Steel)was selected as the best core configuration based on its calculated physics parameters.Core B met the design and safety criteria and indicated low total neutron leakage of 11.60%and flat power distribution with 1.50 power peaking factor.Compared to core A,it has a more negative MTC value of-6.93 pcm/°F with lower CBC.In a 2-batch scheme,the fuel is discharged at 42.25 GWd/MTU burnup after a long cycle length of 1.58 years.The core B model offers the highest specific power of 36.56 kW/kgU while utilizing the smallest heavy metal mass compared with the SMART and NuScale models.

关键词： Nuclear desalination Small modular reactor(SMR) APR-1400 CASMO-4 SIMULATE-3 Two-step method Homogenized cross sections Optimization

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Energy and Cost Analysis of Processing Flat Plate Solar Collectors

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Energy Engineering 2021年第3期118卷 447-458页

作者： Mamdouh El Haj Assad Ali Khosravi Mohammad AlShabi bassam khuwaileh Abdul-Kadir Hamid Sustainable and Renewable Energy Engineering Department University of SharjahSharjahUnited Arab Emirates Mechanical Engineering Department Aalto UniversityEspooFinland Mechanical and Nuclear Energy Engineering Department University of SharjahSharjahUnited Arab Emirates Electrical Engineering Department University of SharjahSharjahUnited Arab Emirates

In this work,a life cycle analysis is accomplished for flat plate solar collectors.The purpose of this investigation is to predict the energy consumption during the manufacturing processes that results in carbon dioxide emissions.Energy consumption and system efficiency enhancement will be studied and predicted.CES EduPack software is used to perform the analysis of the currently commercial system,and the suggested changes are implemented to increase the efficiency and make the comparison.Even though cost analysis is done,the priority of selection is given to the most energy conserving and environmentally friendly alternative.However,if the compared alternatives result in the same energy consumption and CO_(2)emissions,the cost analysis would be a better approach.It can be stated that flat plate solar collectors are sustainable and renewable energy systems that do not produce CO_(2)emissions during their active usage,but the manufacturing processes they undergo during the design contribute to the greenhouse gasses emission.

关键词： Life cycle solar collector renewable energy solar thermal CO_(2)emission economic analysis

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Analysis of OECD/NEA medium 1000 MWth sodium-cooled fast reactor using the Monte Carlo serpent code and ENDF/B-VIII.0 nuclear data library

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Nuclear Science and Techniques 2020年第12期31卷 77-87页

作者： Fatima IAl-Hamadi bassam Akhuwaileh Peng Hong Liem Donny Hartanto Department of Mechanical and Nuclear Engineering University of SharjahP.O.BOX 27272SharjahUnited Arab Emirates Graduate School of Engineering Cooperative Major in Nuclear EnergyTokyo City University(TCU)1-28-1 TamazutsumiSetagayaTokyoJapan Scientific Computational Division Nippon Advanced Information Service(NAIS Co.Inc.)416 MuramatsuTokaimuraIbarakiJapan

This study presents a benchmark evaluation of the new ENDF/B-VIII.0 nuclear data library for the Organization for Economic Co-operation and Development/Nuclear Energy Agency Medium 1000 MWth sodium-cooled fast reactor(SFR).The study presented herein covers both SFR core types,i.e.,metallic fueled(MET-1000)and oxide fueled(MOX-1000),simulated using the continuous-energy Monte Carlo Serpent2 code.The neutronics performances of the ENDF/B-VIII.0-based simulations were compared mainly to two libraries:ENDF/B-VII.1 and JENDL-4.0.The comparison includes several neutronics parameters evaluated for the beginning and end of the cycle conditions.These parameters include the effective multiplication factor keff,total effective delayed neutron fraction beff,sodium void reactivity(DqNa),Doppler constant(DqDoppler),and control rod worth(DqCR).In addition,a sensitivity study was used to reveal the major isotope/reaction pairs contributing to the discrepancy observed in the performance of the three libraries using 33 and 44-energy-group structures.

关键词： Serpent ENDF/B-VIII.0 Sodium-cooled fast reactor Sensitivity analysis

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曲面边界黏性绕流的湍流模型改进方法研究

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力学学报 2024年第1期56卷 58-69页

作者：唐聃戴绍仕谷慧群 bassam A.Younis 哈尔滨工程大学船舶工程学院哈尔滨150001 加利福尼亚大学戴维斯分校美国加利福尼亚州戴维斯95616

多尺度旋涡现象广泛地存在于工程领域的湍流中.研究湍流的重要方法是大涡模拟,但大涡模拟中的过度耗散问题是曲面边界、多尺度旋涡模拟所面临的主要困难.为了克服过度耗散的缺陷,使大曲率曲面边界的多尺度涡流脉动特性预报更准确,文章... 详细信息

多尺度旋涡现象广泛地存在于工程领域的湍流中.研究湍流的重要方法是大涡模拟,但大涡模拟中的过度耗散问题是曲面边界、多尺度旋涡模拟所面临的主要困难.为了克服过度耗散的缺陷,使大曲率曲面边界的多尺度涡流脉动特性预报更准确,文章采用正则化变分多尺度模型(RVM)改进了壁面自适应涡黏模型(WALE)中的亚格子模型,并采用C++语言在Open FOAM开源平台实现了计算代码编译.文章以经典圆柱黏性绕流作为曲面边界黏性绕流的代表,讨论了改进的大涡模型(MWALE)中滤波算子对亚临界雷诺数(Re=4.0×10^(4))波算子阶数(n)敏感.四阶滤波算子(n=2)能准确地预报圆柱壁面的平均涡量及尾流瞬时涡量分布、再循环旋涡长度和速度剖面,而二阶滤波算子(n=1)无法准确地预测分离区和尾流区内脉动速度剖面,因此在强压力梯度区四阶滤波算子预测的压力分布、脉动升阻力与实验结果吻合的更好,能更准确地捕捉到多尺度旋涡结构.

关键词：多尺度涡流改进的大涡模型滤波算子圆柱绕流

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Cervical Cancer Prediction Empowered with Federated Machine Learning

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Computers, Materials & Continua 2024年第4期79卷 963-981页

作者： Muhammad Umar Nasir Omar Kassem Khalil Karamath Ateeq bassam SaleemAllah Almogadwy M.A.Khan Khan Muhammad Adnan Department of Computer Sciences Bahria University Lahore CampusLahore54000Pakistan Faculty of Information Technology Liwa CollegeAbu Dhabi20009UAE Department of Computing Skyline University CollegeSharjah999041UAE Department of Computer Science Taibah UniversityMedina42315Saudi Arabia Riphah School of Computing and Innovation Faculty of ComputingRiphah International UniversityLahore54000Pakistan Department of Software Faculty of Artificial Intelligence and SoftwareGachon UniversitySeongnam13120Korea

Cervical cancer is an intrusive cancer that imitates various women around the world. Cervical cancer ranks in thefourth position because of the leading death cause in its premature stages. The cervix which is the lower end of thevagina that connects the uterus and vagina forms a cancerous tumor very slowly. This pre-mature cancerous tumorin the cervix is deadly if it cannot be detected in the early stages. So, in this delineated study, the proposed approachuses federated machine learning with numerous machine learning solvers for the prediction of cervical cancer totrain the weights with varying neurons empowered fuzzed techniques to align the neurons, Internet of MedicalThings (IoMT) to fetch data and blockchain technology for data privacy and models protection from hazardousattacks. The proposed approach achieves the highest cervical cancer prediction accuracy of 99.26% and a 0.74%misprediction rate. So, the proposed approach shows the best prediction results of cervical cancer in its early stageswith the help of patient clinical records, and all medical professionals will get beneficial diagnosing approachesfrom this study and detect cervical cancer in its early stages which reduce the overall death ratio of women due tocervical cancer.

关键词： Cervical cancer federated machine learning neurons blockchain technology

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Federated Machine Learning Based Fetal Health Prediction Empowered with Bio-Signal Cardiotocography

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Computers, Materials & Continua 2024年第3期78卷 3303-3321页

作者： Muhammad Umar Nasir Omar Kassem Khalil Karamath Ateeq bassam SaleemAllah Almogadwy Muhammad Adnan Khan Muhammad Hasnain Azam Khan Muhammad Adnan Department of Computer Sciences Bahria University Lahore CampusLahore54000Pakistan Faculty of Information Technology Liwa CollegeAbu Dhabi00000United Arab Emirates Department of Computing Skyline University CollegeSharjah1797United Arab Emirates Department of Computer Science Taibah UniversityMedina42353Saudi Arabia Riphah School of Computing and Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Department of Engineering and Development Dubizzle LabsLahore54000Pakistan Department of Software Faculty of Artificial Intelligence and SoftwareGachon UniversitySeongnam-si13120Korea

Cardiotocography measures the fetal heart rate in the fetus during pregnancy to ensure physical health because cardiotocography gives data about fetal heart rate and uterine shrinkages which is very beneficial to detect whether the fetus is normal or suspect or pathologic.Various cardiotocography measures infer wrongly and give wrong predictions because of human error.The traditional way of reading the cardiotocography measures is the time taken and belongs to numerous human errors as well.Fetal condition is very important to measure at numerous stages and give proper medications to the fetus for its well-being.In the current period Machine learning(ML)is a well-known classification strategy used in the biomedical field on various issues because ML is very fast and gives appropriate results that are better than traditional results.ML techniques play a pivotal role in detecting fetal disease in its early stages.This research article uses Federated machine learning(FML)and ML techniques to classify the condition of the fetus.This study proposed a model for the detection of bio-signal cardiotocography that uses FML and ML techniques to train and test the data.So,the proposed model of FML used numerous data preprocessing techniques to overcome data deficiency and achieves 99.06%and 0.94%of prediction accuracy and misprediction rate,respectively,and parallel the proposed model applying K-nearest neighbor(KNN)and achieves 82.93%and 17.07%of prediction accuracy and misprediction accuracy,respectively.So,by comparing both models FML outperformed the KNN technique and achieved the best and most appropriate prediction results as compared with previous studies the proposed study achieves the best and most accurate results.

关键词： Cardiotocography ML FML fetal disease bio-signal

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赛德西港用于船舶减排的陆上可再生能源供电评估

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哈尔滨工程大学学报（英文版） 2024年第2期23卷 506-524页

作者： Merna Makram Ameen M.bassam Adel A.Tawfik Waleed Yehia Naval Architecture and Marine Eng.Dept. Faculty of EngineeringPort Said UniversityPort Fuad 42526Egypt

Air pollution from shipping is becoming a critical issue,particularly in dense hub port cities.One proposed solution to minimize ship-based emissions at ports is the implementation of an Onshore Power Supply(OPS)system.OPS allows ships to shut off their auxiliary engines and instead connect to the port grid.While there have been numerous studies conducted on ports in Europe and the United States,little research has been done on Egyptian ports.Therefore,this paper aims to investigate the feasibility of implementing OPS at Port Said West Port in Egypt,aligning with Egypt Vision 2030’s goals for addressing climate change.The research primarily focuses on analyzing data collected from calling ships to generate socio-economic and cost-effectiveness analyses of OPS.To further enhance the environmental benefits of OPS,the paper proposes the use of solar energy as the OPS electricity source.The findings of the study revealed that by relying on the national grid,emissions can be reduced by 28%.Moreover,it is predicted that this reduction could reach 100%if electricity generation is solely based on solar energy.Additionally,the economic analysis demonstrates promising profitability,with a payback period of approximately two years.

关键词： Onshore power supply Port sustainability Shipping emissions inventory Solar energy Photovoltaic systems

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Low-Density Microplastics in Recreational Parks of Al Ain, United Arab Emirates: Abundance, Composition, and Potential Effects on Soil Health

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Journal of Environmental Protection 2024年第2期15卷 109-123页

作者： Rener De Jesus Ahmed Abuibaid bassam Al-Hindawi Ruwaya AlKendi Department of Biology College of Science United Arab Emirates University Al Ain UAE Department of Chemistry College of Science United Arab Emirates University Al Ain UAE

Microplastics (MPs) have been an emerging concern due to their harmful effects on the ecosystem and are ubiquitous in various habitats, from marine to terrestrial environments. However, studies on the presence of MPs in recreational areas are limited. One of the previous works has reported that urban recreational parks are considered “sinks” for plastic debris, including MPs. In this study, low-density MPs (LD-MPs) in soil samples collected from recreational parks of Al Ain, United Arab Emirates (UAE) were isolated by density flotation method. Results showed that these parks have varying levels of LD-MPs caused by various anthropogenic activities, such as sludge use and application of reclaimed water from wastewater treatment facilities in those areas. These plastic particles were isolated in 87% of the soil samples, with an average concentration of 1550 ± 340 MPs/kg. Predominantly, these comprised large LD-MPs (300 - 5000 μm), with red and blue being the most common colors. Fourier transform infrared (FTIR) spectroscopy identified possible synthetic polymers, including polyethylene and polypropylene. Additionally, a negative correlation was observed between LD-MP concentration and soil pH and moisture content, indicating potential adverse effects on soil health. These findings highlight the need for monitoring and managing microplastic pollution in urban recreational areas to mitigate its ecological impacts.

关键词： Plastic Particles FTIR Analysis Microfibers Soil Pollutants Urban Parks

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Structural and electrical investigation of BLT films deposited at different times using electron beam evaporation technique

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Optoelectronics Letters 2023年第6期19卷 347-352页

作者： bassam Abdallah Fareza Nasrallah Asmahan Obied Department of Physics Atomic Energy CommissionP.O.Box 6091DamascusSyria

Thin films Bi_(4)Ti_(3)O_(12)(BLT) were deposited using electron beam evaporation on silicon substrate at several times,also on AlN/Si and SiO_(2)/Si substrates.Thin films morphology and thickness were measured via scanning electron microscopy(SEM).The crystallography was studied using X-ray diffraction(XRD) technique for films which have a(0010) preferred orientation in all substrate types.The capacitance values were contingent on frequency value in C-V measurement.The ferroelectric characterization was investigated for BLT film deposited on isolator layer(SiO_(2) or AlN) for Al/Bi_(4)Ti_(3)O_(12)/SiO_(2)/Si devices.Memory effect value varied from 1 V to 3 V depending on the thin films isolator on substrate.

关键词： beam films ferroelectric

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Fusion Based Tongue Color Image Analysis Model for Biomedical Applications

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Computers, Materials & Continua 2022年第6期71卷 5477-5490页

作者： Esam A.AlQaralleh Halah Nassif bassam A.Y.Alqaralleh School of Engineering Princess Sumaya University for TechnologyAmman11941Jordan Management Information Systems Department College of Business AdministrationUniversity of Business and TechnologyJeddah21448Saudi Arabia

Tongue diagnosis is a novel and non-invasive approach commonly employed to carry out the supplementary diagnosis over the globe.Recently,several deep learning(DL)based tongue color image analysis models have existed in the literature for the effective detection of diseases.This paper presents a fusion of handcrafted with deep features based tongue color image analysis(FHDF-TCIA)technique to biomedical applications.The proposed FDHF-TCIA technique aims to investigate the tongue images using fusion model,and thereby determines the existence of disease.Primarily,the FHDF-TCIA technique comprises Gaussian filtering based preprocessing to eradicate the noise.The proposed FHDF-TCIA model encompasses a fusion of handcrafted local binary patterns(LBP)withMobileNet based deep features for the generation of optimal feature vectors.In addition,the political optimizer based quantum neural network(PO-QNN)based classification technique has been utilized for determining the proper class labels for it.A detailed simulation outcomes analysis of the FHDF-TCIA technique reported the higher accuracy of 0.992.

关键词： Tongue color image tongue diagnosis biomedical healthcare deep learning metaheuristics

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