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Thermal and mechanical analysis of thermal power plant ashes, cement and resin composites 热电厂灰、水泥和树脂复合材料的热力学分析
Pub Date : 2023-01-10 DOI: 10.24012/dumf.1213882
A. Biçer
This study used thermal power plant fly ash (FA) and bottom ash (BA) as fill materials and investigated the thermal properties of composites made of cement and pine tree resin binders. For each ash group, 36 samples were prepared by adding 50% cement and 1% to 2% resin as binders. i) FA samples had 23.18%, 22.99%, and 77.01% lower density, thermal conductivity, and compressive strength than BA samples, respectively. FA samples had 9.42% higher porosity than BA samples. ii) FA (0.177 W/mK) and BA (0.221 W/mK) samples with resin and cement had the lowest heat transfer coefficients. iii) FA (14.46 MPa) and BA (36.96 MPa) samples (resin + cement binder) had the highest compressive strength values.
以火电厂粉煤灰(FA)和底灰(BA)为填料,研究了水泥与松木树脂粘结剂复合材料的热性能。每个灰分组分别加入50%的水泥和1% ~ 2%的树脂作为粘结剂制备36个样品。i) FA试样的密度、导热系数和抗压强度分别比BA试样低23.18%、22.99%和77.01%。FA样品的孔隙率比BA样品高9.42%。ii) FA (0.177 W/mK)和BA (0.221 W/mK)树脂和水泥样品的换热系数最低。(3) FA (14.46 MPa)和BA (36.96 MPa)试样(树脂+水泥结合料)的抗压强度值最高。
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引用次数: 0
Utilizing the Ensemble of Deep Learning Approaches to Identify Monkeypox Disease 利用深度学习方法的集成来识别猴痘疾病
Pub Date : 2023-01-02 DOI: 10.24012/dumf.1199679
Sedat Örenç, Emrullah Acar, M. S. Özerdem
Recently, the monkeypox disease spreads to many countries rapidly and it becomes a serious health problem. In addition, this disease affects the quality of a person's life. Therefore, it is crucial to decrease the spread rate with the quick determination of the disease. In order to identify monkeypox rapidly, deep learning models are used. They are named EfficientNetB3, ResNet50, and InceptionV3 respectively. According to the results of the three models, ResNet50 is the best model when they compare aspects of performance. The accuracy of ResNet50 sets %94.00. There are four parameters that are used to evaluate the performance of the models. There are called precision, recall, f1-score, and support. These models demonstrate that monkeypox can be classified with high precision. Therefore these models can be used for the future of the work.
近年来,猴痘病在许多国家迅速蔓延,成为严重的卫生问题。此外,这种疾病会影响一个人的生活质量。因此,在快速诊断疾病的同时,降低传播速度是至关重要的。为了快速识别猴痘,我们使用了深度学习模型。它们分别被命名为EfficientNetB3、ResNet50和InceptionV3。根据三个模型的结果,ResNet50是比较性能方面的最佳模型。ResNet50的准确度为%94.00。有四个参数用于评估模型的性能。它们分别是精确度、召回率、f1-score和支持度。这些模型表明,猴痘可以进行高精度的分类。因此,这些模型可以用于未来的工作。
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引用次数: 4
Effect of fiber orientation and loading direction on the compressive response of E-glass/Epoxy laminated composites used in modern helicopter blades submitted to high strain rate 高应变速率下,纤维取向和加载方向对e -玻璃/环氧复合材料叶片压缩响应的影响
Pub Date : 2022-12-31 DOI: 10.24012/dumf.1140112
A. Çelik, Y. Arman
In this investigation, the dynamic behaviour of glass fibre reinforced poly- mer under in-plane and out-of-plane dynamic compression tests was studied experimentally and numerically under varying the fibres orientation and the loading conditions. The composites consist of unidirectional E-glass fibers reinforced epoxy polymer composites used in modern helicopter blade application as inner surface. Specimens, with a cylindrical shape, are impacted at a constant strain rate subjected to SHPB and Ls Dyna program. The numerical results are in good agreement with experimental results. The results show that the out-of-plane stress values for different fiber orientation are close to each other, but the in-plane stress value is far lower for the fibers direction of ±45◦. This study will facilitate fiber orientation selection for dynamic effects during the helicopter blade production phase. Not only simple tests but also practical ideas make this study stand out. Considering results, the use of ±90◦ fiber direction in helicopter blades seems to be more advantageous against dynamic effects.
在不同的纤维取向和加载条件下,对玻璃纤维增强聚合物在面内和面外动态压缩试验中的动态行为进行了实验和数值研究。该复合材料由单向e -玻璃纤维增强环氧聚合物复合材料组成,用于现代直升机叶片的内表面。对圆柱形试样进行SHPB和Ls Dyna程序的恒应变率冲击。数值计算结果与实验结果吻合较好。结果表明:不同纤维方向的面外应力值接近,而±45◦方向的面内应力值要小得多;该研究将有助于在直升机叶片生产阶段进行动态影响的纤维方向选择。不仅是简单的测试,而且是实用的想法使这项研究脱颖而出。考虑到结果,在直升机叶片中使用±90◦纤维方向似乎更有利于对抗动态影响。
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引用次数: 0
Data division effect on machine learning performance for prediction of streamflow 数据分割对流量预测机器学习性能的影响
Pub Date : 2022-12-31 DOI: 10.24012/dumf.1158748
O. Katipoğlu
Accurate estimation of streamflow has an important role in water resources management, disaster preparedness and early warning, reservoir operation, and sizing of water structures. In this study, Extreme gradient boosting (XGBoost) and K-Nearest Neighbours (KNN) algorithms are used for the estimation of streamflow. In order to reveal the appropriate model, the raw model and models with optimized parameters were evaluated while the models were being built. In the setup of the models, various training test rates were also tried, and it was investigated which data division showed more effective results. For this purpose, the data were divided into ratios such as 60-40, 70-30, 80-20, and 90-10, respectively, and the model results were compared. Various statistical indicators such as Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and Coefficient of Determination (R2) were used when comparing the models. As a result of the analysis, it was determined that the most suitable model for monthly streamflow estimation was obtained by using the optimized Xgboost algorithm and 60-40% data division. The obtained outputs constitute a vital resource for decision-makers regarding water resources planning and flood and drought management.
准确的流量估算在水资源管理、防灾预警、水库运行和水利工程建设等方面具有重要作用。在本研究中,使用极端梯度增强(XGBoost)和k近邻(KNN)算法来估计流量。在建立模型的同时,对原始模型和参数优化后的模型进行了评价,以确定合适的模型。在模型的建立中,还尝试了不同的训练测试率,并研究了哪种数据分割更有效。为此,将数据分别分成60-40、70-30、80-20、90-10等比例,并对模型结果进行比较。采用均方根误差(RMSE)、平均绝对误差(MAE)、决定系数(R2)等统计指标对模型进行比较。通过分析,确定采用优化后的Xgboost算法和60-40%的数据分割得到最适合月度流量估算的模型。所获得的产出是决策者在水资源规划和水旱管理方面的重要资源。
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引用次数: 1
The size of portlandite crystals in ITZ and its relation with ratios of ingredients and properties of LWAC 研究了电解液中硅酸盐晶体的大小及其与原料配比和LWAC性能的关系
Pub Date : 2022-12-28 DOI: 10.24012/dumf.1142093
İ. A. Gönül, H. Ciçek
In this experimental study, nine different lightweight aggregate concrete (LWAC) specimens - in which natural lightweight scoria aggregate was used as coarse aggregate - were prepared for investigating the size of portlandite crystals in their interfacial transition zone (ITZ). Scanning Electron Microscope (SEM) was used to determine the size of portlandite crystals in ITZ of LWAC specimens. The size of portlandite crystals in ITZ of these LWAC specimens was determined quantitatively in order to identify its relation with ratios of ingredients and properties of LWAC that were investigated. It was determined that the size of portlandite crystals in ITZ of nine LWAC specimens is in the range of (0.91-2.047) µm. The size of portlandite crystals in ITZ is found to be increased when the water/cement (W/C) and coarse aggregate/total aggregate (Ac/A) ratios of LWAC get increased. On the other hand, the compressive strength and the oven-dry density of LWAC are found to be decreased when the size of portlandite crystals in ITZ gets increased. The best way to make portlandite beneficial from mechanical, physical and durability points of view is to transform it into so-called secondary hydration products by making it react with materials that have proper chemical properties for this transformation. In this case, the small portlandite crystals dissolve entirely, and the large portlandite crystals become smaller. Lightweight scoria aggregate used in this study is thought to have chemical properties to assist such a transformation in ITZ.
在本实验研究中,制备了9种不同的轻骨料混凝土(LWAC)试样,其中天然轻质矿渣骨料用作粗骨料,用于研究波特兰石晶体在其界面过渡区(ITZ)中的尺寸。利用扫描电子显微镜(SEM)测定了LWAC试样在ITZ中的硅酸盐晶体大小。定量测定了这些LWAC试样中硅酸盐晶体的大小,以确定其与所研究的LWAC成分比例和性能的关系。结果表明,9个LWAC试样在ITZ中的波特兰石晶体尺寸在(0.91-2.047)µm之间。随着水灰比(W/C)和粗骨料比/总骨料比(Ac/A)的增大,水灰比(W/C)增大。另一方面,随着硅酸盐晶体尺寸的增大,LWAC的抗压强度和烘干密度降低。从机械、物理和耐久性的角度来看,使波特兰石受益的最佳方法是通过使其与具有适当化学性质的材料发生反应,将其转化为所谓的二次水化产物。在这种情况下,小的波特兰石晶体完全溶解,大的波特兰石晶体变小。本研究中使用的轻质矿渣骨料被认为具有化学性质,有助于在ITZ中进行这种转化。
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引用次数: 0
The Application of Different Technologies for Removal of Rifampicin From Aquatic Environments: A Recent Review 不同技术在水生环境中去除利福平的应用综述
Pub Date : 2022-12-27 DOI: 10.24012/dumf.1120755
H. Erdem
Antibiotics are a group of drugs widely used as human and veterinary drugs and in aquaculture and agriculture. Recently, parent compounds and their metabolites are constantly excreted and released into environmental matrices, due to the fact that antibiotics cannot be completely metabolized after consumption by humans and animals and cannot be completely removed by conventional wastewater treatment plants. The accumulation and persistence of antibiotics in environmental matrices can lead to harmful effects on ecosystems, even at concentration levels as low as ng/L to μg/L. Rifampicin (RIF), which belongs to the macrocyclic antibiotic class, is the most important antibiotic widely used in the tuberculosis treatment. Lately, the RIF was detected in aquatic environments and needs to be removal effectively. This review considers the current state of knowledge regarding the sources, fate, effects and removal processes of the antibiotic RIF. In this review, the different treatment techniques such as adsorption, advanced oxidation processes (AOPs) and other technologies (membrane process and moving bed biofilm reactor) for RIF removal were evaluated and compared. A comparison between these techniques was made focusing on performance and efficiency. As a result, it was found that adsorption and AOPs were the most studied method and almost all of the studied RIF removal methods were also to be successful.
抗生素是一类广泛用于人用和兽药以及水产养殖和农业的药物。近年来,由于抗生素被人类和动物食用后不能完全代谢,传统的废水处理厂不能完全去除,母体化合物及其代谢物不断地排出并释放到环境基质中。抗生素在环境基质中的积累和持续可导致对生态系统的有害影响,即使浓度低至ng/L至μg/L。利福平(Rifampicin, RIF)属于大环类抗生素,是目前广泛应用于结核病治疗的重要抗生素。最近,RIF在水生环境中被发现,需要有效去除。这篇综述考虑了目前关于抗生素RIF的来源、命运、影响和清除过程的知识状况。本文综述了吸附法、高级氧化法(AOPs)和其他膜法、移动床生物膜反应器等处理RIF的方法,并对其进行了评价和比较。着重从性能和效率两方面对这些技术进行了比较。结果发现,吸附法和AOPs法是研究最多的方法,几乎所有研究的RIF去除方法都是成功的。
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引用次数: 0
Kumsal Sedimanlarının Mikroplastik İçeriklerinin ve Sediman Tanelerinin Karakterizasyonu: Muğla Kıyılarından (GB Türkiye) Örnek Çalışma
Pub Date : 2022-12-23 DOI: 10.24012/dumf.1212109
Murat Gul, Ceren Küçükuysal, Ahmed Masud
Günlük hayatta önemli bir yere sahip olan plastikler, fiziksel bozunmaya uğradıklarında kolaylıkla taşınarak göllere, akarsulara, denizlere, dağlara ve topraklara ulaşmakta ve kirletici olarak tüm doğal ekosistemlere zarar vermektedirler. Mikroplastiklerin özellikle kıyı alanlarında birikimini etkileyen en önemli unsurlardan ilki jeolojik süreçlerden olan karasal ve denizel sedimanların taşınımları ikincisi ise antropojenik etmenlerdir. Muğla kıyı sedimanlarında biriken mikroplastik miktarını belirlemek amacıyla Palamutbükü, Datça, Marmaris ve Akyaka sahil kumlarından alınan örnekler tane boyu bakımından karakterize edilmiş; düşük yoğunluklu mikroplastik ayırma yöntemleri kullanılmıştır. Plastik içeriği sırasıyla; Palamutbükü örneğinde 11 adet meso-makro plastik, 56 adet mikroplastik / 50 g, Datça örneğinde 13 adet meso-makro plastik, 33 adet mikroplastik / 50 g, Marmaris örneğinde 13 adet meso-makro plastik, 143 adet mikroplastik / 50 g, ve Akyaka örneğinde 4 adet meso-makro plastik, 59 adet mikroplastik / 50 g olarak belirlenmiştir. Orta kum boyunda, incelenen örnekler içinde en küçük ortalama tane boyutuna sahip Akyaka sahili örneği meso-makroplastik içeriği en düşük olandır. İnce çakıl ortalama tane boyuyla en kaba ortalama tane boyuna ve en yüksek çakıl yüzdesine sahip Datça örneği ise mikroplastik sayısı en düşük örnektir. Lif ve parça formunda plastik parçalarında Fourier Dönüşümlü Kızıl Ötesi Spektrometresi analizi gerçekleştirilmiştir. Mikroplastiklerin bileşimlerinde selülöz, polietilen ve polipropilen olduğu belirlenmiştir.
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引用次数: 0
Sabit Hız İle Yörünge Takibi Sağlayan Dört Çubuk Mekanizmasının Hız Kontrolü
Pub Date : 2022-12-20 DOI: 10.24012/dumf.1173407
Halit Hülako, Orhan Çakar
Yüksek maliyetli otomatik seri üretim makinelerinin sabit hız gerektiren işlemlerinde DC motor ile tahrik edilen dört çubuk mekanizmaları yaygın olarak kullanılmaktadır. Sabit hızlı mekanizmaların tasarımları zor olmalarının yanında farklı hız talepleri durumunda mekanizmanın boyutlarının değişmesi gerekmektedir. Alternatif olarak mekanizmayı tahrik eden motor hızı kontrol edilerek bu talep gerçekleştirilebilmektedir. Bu çalışmada dört çubuk mekanizmasında biyel üzerindeki bir noktanın sabit bir hız ile yörüngesi üzerinde ilerleyebilmesi problemi göz önüne alınmıştır. Bu amaçla krank hızı istenilen yörünge takip hızını sağlayacak şekilde kontrol edilmiştir. Matlab Simscape aracından faydalanılmış ve krank hızının kontrolünde PID algoritması kullanılmıştır. Örnek bir mekanizma için sayısal benzetim çalışmaları yapılmış ve başarılı sonuçlar elde edilmiştir.
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引用次数: 0
Barajların deşarj yapılarındaki akış karakteristikleri ve enerji kırıcı yapıların etkinliğinin sayısal analizi
Pub Date : 2022-12-10 DOI: 10.24012/dumf.1184570
Selman Oğraş, Fevzi Önen
Su gücü(Hydropower) endüstrisinde su kaynaklarının gelişimi bakımından son 60 yılda özellikle son 30 yılda büyük ilerleme ve yenilikler ortaya çıkmış, buna paralel dünyada büyük hidroelektrik projeler inşa edilmiştir. Hidroelektrik güç üretilen büyük ve kompleks yapıların karakteristikleri başlıca; baraj tasarım yükü yüksekliği, büyük deşarj, birim genişlikteki deşarj kapasitesi ve karmaşık jeolojik koşullardır. Üretilen güç miktarı onlarca veya yüzlerce gigawatt kadar yüksek olabilen bu derece yüksek güç üreten potansiyel enerjiyi dağıtmak, sönümlemek baraj mühendisliğinin elbette zor olan konularındandır. Dolayısıyla baraj mühendisliğinin araştırma konularından olan barajların deşarj yapılarının hidrolik karakteristikleri ve ortaya çıkan enerjinin güvenli ve ekonomik olarak dağıtımının sağlanması hususu dikkate alındığında etkin bir proje tasarımı için yapılacak fiziksel modelleme, prototip deneyleri ve sayısal modelleme sonuçlarının birlikte değerlendirilmesi gerekmektedir. Bu çalışmada yapılan fiziksel model çalışmalarıyla belirlenen deşarj yapılarındaki hidrolik karakteristikler ve enerji kırıcı yapıların etkinliği Hesaplamalı Akışkanlar Dinamiği (HAD) yöntemi ile sayısal olarak incelenmiştir. Çalışmanın sayısal modellemesinde özellikle açık kanal akımı, sediment taşınımı, oyulma gibi problemlerin çözümünde başarılı bir yazılım olan Flow3D kullanılmış olup sayısal hesaplamalardan elde edilen su yüzü, basınç değerleri ve hız profilleri model ölçeğiyle (1/100) yapılan fiziksel model deney ölçümleriyle karşılaştırılmıştır.
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引用次数: 0
Automated Detection of Alzheimer’s Disease using raw EEG time series via. DWT-CNN model 基于原始脑电图时间序列的阿尔茨海默病自动检测。DWT-CNN模型
Pub Date : 2022-12-05 DOI: 10.24012/dumf.1197722
Mesut Seker, M. S. Özerdem
Dementia is an age-related neurological disease and gives rise to profound cognitive decline in patients’ life. Alzheimer’s Disease (AD) is the progression of dementia and AD patients generally have memory loss and behavioral disorders. It is possible to determine the stage of dementia by developing automated systems via. signals obtained from patients. EEG is a popular brain monitoring system due to its cost effective, non-invasive implementation, and higher time resolution. In current study, we include participants of 24 HC (12 eyes open (EO), 12 eyes closed (EC)), and 24 AD (HC (12 eyes open (EO), 12 eyes closed (EC)). The aim of current study is to design a practical AD detection tool for AD/HC participants with a model called DWT-CNN. We performed Discrete Wavelet Transform (DWT) to extract EEG sub-bands. A Conv2D architecture is applied to raw samples of related EEG sub-bands. According to obtained performance metrics calculated from confusion matrices, all AD and HC time series are correctly classified for alpha band and full band range under both EO and EC. Classification rate of AD vs. HC increases under EO state in all cases even if EC is commonly preferred in other studies. We will add MCI patients with equal size and similar demographics and repeat the experimental steps to develop early alert system in future studies. Adding more participants will also increase generalization ability of method. It is also promising study to combine EEG with different modalities (2D TF image conversion, or MRI) in a multimodal approach.
痴呆症是一种与年龄有关的神经系统疾病,会导致患者生命中严重的认知能力下降。阿尔茨海默病(AD)是痴呆症的进展,AD患者通常有记忆丧失和行为障碍。通过开发自动化系统来确定痴呆症的阶段是可能的。从病人身上获得的信号。脑电图以其低成本、无创实现、高时间分辨率等优点成为一种流行的脑监测系统。在本研究中,我们纳入了24例HC(12眼睁开(EO), 12眼闭(EC))和24例AD (HC(12眼睁开(EO), 12眼闭(EC))的参与者。本研究的目的是为AD/HC参与者设计一种实用的AD检测工具,该工具采用DWT-CNN模型。采用离散小波变换(DWT)提取脑电信号子带。将卷积二维结构应用于相关脑电子带的原始样本。根据从混淆矩阵中计算得到的性能指标,在EO和EC下,所有AD和HC时间序列在α波段和全波段范围内都被正确分类。尽管在其他研究中普遍倾向于EC,但所有病例在EO状态下AD与HC的分类率均有所增加。我们将在未来的研究中加入同等大小和相似人口统计学的MCI患者,并重复实验步骤来开发早期预警系统。参与者的增加也会提高方法的泛化能力。将EEG与不同模态(2D TF图像转换或MRI)结合在多模态方法中也是有前途的研究。
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引用次数: 1
期刊
DÜMF Mühendislik Dergisi
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