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Experimental Investigation of Physical and Mechanical Characteristics of Structural Foamed Concrete Containing Waste Marble Dust 含废大理石粉尘结构泡沫混凝土物理力学特性试验研究
Engineered Science Pub Date : 2023-01-01 DOI: 10.30919/es906
Aya Qatawna, Hamza Mobideen
{"title":"Experimental Investigation of Physical and Mechanical Characteristics of Structural Foamed Concrete Containing Waste Marble Dust","authors":"Aya Qatawna, Hamza Mobideen","doi":"10.30919/es906","DOIUrl":"https://doi.org/10.30919/es906","url":null,"abstract":"Utilizing waste material in concrete production is an effective way to eliminate waste and develop environmentally friendly building materials. An experimental investigation was carried out to examine the physical, mechanical and durability characteristics of Polypropylene (PP) fibers foamed concrete (FC) that contains waste marble powder (WMP) as a substitute for conventional cement. Seven different FC mixtures were made utilizing WMD as a cement substitution at the rates of 0, 5, 10, 15, 20, 25 and 30%. Fresh properties of mixtures were investigated by performing slump and fresh density tests. Several tests that evaluated the mechanical strengths were conducted at 7 and 28 days. Moreover, the durability of FC specimens at high temperatures was also examined. Results indicate that by including WMD into FC mixtures, the desired physical, mechanical, and durability characteristics could be obtained. The highest compressive, splitting tensile, and flexural strength were 27.4, 2.34, and 4.2 MPa, respectively, with significant improvements of 39.01, 14.7, and 25% at 28 days. Furthermore, all FC specimens containing WMD showed satisfactory performance at temperatures of 300 ᵒ C and 600 ᵒ C.","PeriodicalId":36059,"journal":{"name":"Engineered Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90329999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Influence of Nonglide Stress on the Structure and Mobility of Pyramidal-I and -II ⟨c + a⟩ Edge Dislocations in Magnesium Nonglide应力对镁中锥体- i和-II⟨c + a⟩边位错的结构和迁移率的影响
Engineered Science Pub Date : 2023-01-01 DOI: 10.30919/es931
S. Oyinbo, R. Matsumoto, D. Matsunaka, T. Jen
{"title":"Influence of Nonglide Stress on the Structure and Mobility of Pyramidal-I and -II ⟨c + a⟩ Edge Dislocations in Magnesium","authors":"S. Oyinbo, R. Matsumoto, D. Matsunaka, T. Jen","doi":"10.30919/es931","DOIUrl":"https://doi.org/10.30919/es931","url":null,"abstract":"Herein, molecular dynamics simulations were performed to investigate the structure and slip behavior of ⟨𝑐 + 𝑎⟩ edge dislocations on the pyramidal-I (Pyr-I) plane in magnesium (Mg), which were compared to those on the pyramidal-II (Pyr-II) plane. ⟨𝑐 + 𝑎⟩ dislocations on pyramidal planes are metastable and transition into sessile, typically sessile 〈 c 〉 and glissile 〈 a 〉 basal dislocations (basal-dissociated ⟨𝑐⟩ + basal ⟨𝑎⟩ ), or a dissociated ⟨𝑐 + 𝑎⟩ dislocation along the basal plane (basal-dissociated ⟨𝑐 + 𝑎⟩ and its derivative structure). This transition occurs at temperatures of >100 and >400 K for Pyr-I and -II ⟨𝑐 + 𝑎⟩ edge dislocations, respectively, in the absence of shear deformation along the slip direction, except under large non-glide stresses. The critical resolved shear stress (CRSS) of the slip plane where Pyr-I ⟨𝑐 + 𝑎⟩ edge dislocations glide at 10 K increases with increasing compressive or tensile strains normal to the slip plane and exhibits a minimum value of ~486 MPa. Similarly, the CRSS for Pyr-II ⟨𝑐 + 𝑎⟩ edge dislocations decreases with increasing compressive strains normal to the slip plane and exhibits a maximum value of ~149 MPa at 10 K. Our findings provide insights into the design of ductile Mg alloys.","PeriodicalId":36059,"journal":{"name":"Engineered Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89080493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Optimization of Drill Winch Brake Cooling System for Improved Working Process Parameter 钻机绞车制动冷却系统优化改进工艺参数
Engineered Science Pub Date : 2023-01-01 DOI: 10.30919/es8d881
S. Akhmetzhan, B. Bilashev, K. Ikhsanov, G. Kalesheva, Ainash Mukambetkaliyeva
{"title":"Optimization of Drill Winch Brake Cooling System for Improved Working Process Parameter","authors":"S. Akhmetzhan, B. Bilashev, K. Ikhsanov, G. Kalesheva, Ainash Mukambetkaliyeva","doi":"10.30919/es8d881","DOIUrl":"https://doi.org/10.30919/es8d881","url":null,"abstract":"","PeriodicalId":36059,"journal":{"name":"Engineered Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76699816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research Network Analysis and Machine Learning on Heusler Alloys Heusler合金的网络分析与机器学习研究
Engineered Science Pub Date : 2023-01-01 DOI: 10.30919/es954
Aparna Ashok, A. Desai, R. Mahadeva, S. Patole, Brajesh Pandey, Neeru Bhagat
{"title":"Research Network Analysis and Machine Learning on Heusler Alloys","authors":"Aparna Ashok, A. Desai, R. Mahadeva, S. Patole, Brajesh Pandey, Neeru Bhagat","doi":"10.30919/es954","DOIUrl":"https://doi.org/10.30919/es954","url":null,"abstract":"Heusler alloys are an incredible class of inter-metallic materials with different compositions and over 1500 members. Though discovered a century back, they are an active area of physics and material science research. Novel properties and potential fields of applications materialize constantly. Even the alloy system is extensively investigated owing to its shape memory behavior and prospective relevance in the development of actuator devices, where strains are controlled by applying an external magnetic field. Heusler alloys are currently the material of interest due to their properties leading to their use as shape memory alloys and topological insulators. Hence, predicting and determining their composition and structure is imperative before synthesis. Utilizing the conventional method in determining the possible changes in the properties and the structure of the proposed compositions is tedious and time-consuming. In the current consumerism-driven environment, we require a faster method to predict the structure of the proposed alloy or compound or other parameters for the desired application. Once the prediction is made, it must be tested experimentally by synthesizing the material and characterizing its behavior. This analysis is focusing on network analysis with a supervised machine learning approach to study the properties of Heusler alloys with their application as shape memory alloys.","PeriodicalId":36059,"journal":{"name":"Engineered Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72619722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Monodispersed Hollow Silica Nanospheres with Ultra-small Size for Fabrication of Highly Transparent Polymer Nanocomposites 用于制备高透明聚合物纳米复合材料的超小尺寸单分散空心二氧化硅纳米球
Engineered Science Pub Date : 2023-01-01 DOI: 10.30919/es996
Cai Li, Xiao-Feng Pei, Na Xiao, Xiao-Fei Zeng
{"title":"Monodispersed Hollow Silica Nanospheres with Ultra-small Size for Fabrication of Highly Transparent Polymer Nanocomposites","authors":"Cai Li, Xiao-Feng Pei, Na Xiao, Xiao-Fei Zeng","doi":"10.30919/es996","DOIUrl":"https://doi.org/10.30919/es996","url":null,"abstract":"","PeriodicalId":36059,"journal":{"name":"Engineered Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135210847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Noise Reduction in a Bird Inspired Aero Foil using Trailing-Edge Serrations 在一个鸟启发的空气箔使用尾缘锯齿降噪
Engineered Science Pub Date : 2023-01-01 DOI: 10.30919/es951
Shiva Prasad U U, N. R
{"title":"Noise Reduction in a Bird Inspired Aero Foil using Trailing-Edge Serrations","authors":"Shiva Prasad U U, N. R","doi":"10.30919/es951","DOIUrl":"https://doi.org/10.30919/es951","url":null,"abstract":"The current work deals with the efficacy of the bionic-inspired airfoil of Tyto Alba (a barn owl) in noise reduction. Due to their distinct wing morphology, owls are noted for their quiet flying, which is astonishingly low-noise both when gliding and flapping. The low-noise operation of airfoil is inspired by these remarkable characteristics of owl flight. Research conducted in the past suggests that an airfoil that has an extensive sinusoidal profile can only reduce noise to a certain extent. As a coupling element, an owl-wing-inspired ridge is added to the trailing edge of airfoils with serrations in this work. This proposed method of noise reduction using trailing edge serrations showed the efficacy of a bionic-inspired airfoil with the existing approaches. A numerical study was performed using computational tools and has shown that the proposed bionic-inspired structure could reduce noise more effectively. The results show that wide wavelengths have less low-frequency tonal noise but more at high frequencies. This paper concludes that owl-inspired trailing edge serrations may be an effective aero-acoustic control device for wind turbines, aircraft, drones, and other fluid machines.","PeriodicalId":36059,"journal":{"name":"Engineered Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73613451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Evaluation and Analysis of the Architectural Environment of Traditional Folk Houses in Tibetan plateau, China 青藏高原传统民居建筑环境评价与分析
Engineered Science Pub Date : 2023-01-01 DOI: 10.30919/es8d845
Luxi Lu, Tianke Zhang, Xiaoliang Wang, Yu Han, D. Sridhar, Handong Li, B. Xu, Kuzin Victor Fedorovich, Xianmin Mai
{"title":"Evaluation and Analysis of the Architectural Environment of Traditional Folk Houses in Tibetan plateau, China","authors":"Luxi Lu, Tianke Zhang, Xiaoliang Wang, Yu Han, D. Sridhar, Handong Li, B. Xu, Kuzin Victor Fedorovich, Xianmin Mai","doi":"10.30919/es8d845","DOIUrl":"https://doi.org/10.30919/es8d845","url":null,"abstract":"","PeriodicalId":36059,"journal":{"name":"Engineered Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90931023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Bearing Capacity of Eccentrically Loaded Footings on Rock Masses Using Soft Computing Techniques 基于软计算技术的岩体偏心荷载基础承载力研究
Engineered Science Pub Date : 2023-01-01 DOI: 10.30919/es929
Divesh Kumar, P. Samui, Warit Wipulanusat, S. Keawsawasvong, Kongtawan Sangjinda, Wittaya Jitchaijaroen
{"title":"Bearing Capacity of Eccentrically Loaded Footings on Rock Masses Using Soft Computing Techniques","authors":"Divesh Kumar, P. Samui, Warit Wipulanusat, S. Keawsawasvong, Kongtawan Sangjinda, Wittaya Jitchaijaroen","doi":"10.30919/es929","DOIUrl":"https://doi.org/10.30919/es929","url":null,"abstract":"A crucial characteristic of real-world engineering operations is a strip footing's bearing capacity on a rock mass subjected to incline and eccentric loading conditions. Many scientists have attempted to establish and implement artificial intelligence (AI) models for estimating strip footings’ bearing capacity. In this study, four data-driven models, namely, extreme gradient boosting (XGBoost), random forest (RF), deep neural network (DNN), and long short-term memory (LSTM), are developed and compared to calculate the strip footing's bearing capacity. The strip footing's bearing capacity is obtained numerically by performing a lower bound (LB) and upper bound (UB) finite element limit analysis (FELA) for the purpose of training machine learning models. A total of 5120 FELA solutions with six dimensionless input parameters, namely, the geological strength index ( GSI ), the yield parameter ( m i ), the dimensionless strength ( 𝛾 B/ 𝜎 ci ) , inclination angle ( 𝛽 ), the dimensionless eccentricity ( e/B ), and the adhesion factor ( a ), and one output parameter, the bearing capacity factor ( P/ 𝜎 ci B ), were utilized in the analysis. The results show that the efficiency of all the proposed models is sufficient for bearing capacity factor determination, with coefficient of determination ( R 2 ) values ranging from 0.87 to 0.997 in the training phase and 0.975 to 0.999 in the testing phase. The proposed XGBoost model outperforms other models, such as RF, DNN, and LSTM, and can be used accurately for estimating a strip footing's bearing capacity on rock mass subjected to incline and eccentric loading loads.","PeriodicalId":36059,"journal":{"name":"Engineered Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87232191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Synthesis, Structure Characterization, and Antimicrobial Activity of 2-Amino-3-[(2-Amino-2-Carboxyethyl) Disulfanyl] Propanoic Acid Dihydrogen Triiodide Coordination Compound 2-氨基-3-[(2-氨基-2-羧基乙基)二磺酰]丙酸三碘二氢配合物的合成、结构表征及抗菌活性
Engineered Science Pub Date : 2023-01-01 DOI: 10.30919/es956
Seitzhan Turganbay, Alexandr Ilin, Nelly Atageldiyeva, Аrdak Jumagaziyeva, Sabina Kenesheva, Gulshat Baigaipova, Sofia Mun
{"title":"Synthesis, Structure Characterization, and Antimicrobial Activity of 2-Amino-3-[(2-Amino-2-Carboxyethyl) Disulfanyl] Propanoic Acid Dihydrogen Triiodide Coordination Compound","authors":"Seitzhan Turganbay, Alexandr Ilin, Nelly Atageldiyeva, Аrdak Jumagaziyeva, Sabina Kenesheva, Gulshat Baigaipova, Sofia Mun","doi":"10.30919/es956","DOIUrl":"https://doi.org/10.30919/es956","url":null,"abstract":"","PeriodicalId":36059,"journal":{"name":"Engineered Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135357505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
An Innovative Resource Management Framework using Logit-Boosted Machine Learning Algorithms for Vehicular Ad Hoc Networks (VANETs) 基于logit增强机器学习算法的车辆自组织网络(VANETs)创新资源管理框架
Engineered Science Pub Date : 2023-01-01 DOI: 10.30919/es980
Wenye Zhang, Sergey Evgenievich Barykin, Tatiana Viktorovna Kirillova, Irina Vasilievna Kapustina, Nikita Sergeevich Lukashevich, Andrey Zaytsev
{"title":"An Innovative Resource Management Framework using Logit-Boosted Machine Learning Algorithms for Vehicular Ad Hoc Networks (VANETs)","authors":"Wenye Zhang, Sergey Evgenievich Barykin, Tatiana Viktorovna Kirillova, Irina Vasilievna Kapustina, Nikita Sergeevich Lukashevich, Andrey Zaytsev","doi":"10.30919/es980","DOIUrl":"https://doi.org/10.30919/es980","url":null,"abstract":"","PeriodicalId":36059,"journal":{"name":"Engineered Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136205493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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