Pub Date : 1900-01-01DOI: 10.52547/engt.3.2208102112805
Hasan Dilek, A. Sadeghpour
The research compares the structural analyses discussed by mathematical modeling with those addressed by structural approaches. It discusses Eigenvalue Analysis, Static Pushover Analysis, Static Adaptive Pushover Analysis, Static Time-History Analysis, Dynamic Time-History Analysis, Incremental Dynamic Analysis (IDA), Response Spectrum Analysis (RSA), and Buckling Analysis. Structural limitations, brief or extensive information about the structure, as well as the result of the output approach, have a major impact on the selection of the structural analysis method. In this research, by examining each analytical method, their different characteristics are discussed.
{"title":"A Comparison of Different Linear and Non-linear Structural Analysis Methods","authors":"Hasan Dilek, A. Sadeghpour","doi":"10.52547/engt.3.2208102112805","DOIUrl":"https://doi.org/10.52547/engt.3.2208102112805","url":null,"abstract":"The research compares the structural analyses discussed by mathematical modeling with those addressed by structural approaches. It discusses Eigenvalue Analysis, Static Pushover Analysis, Static Adaptive Pushover Analysis, Static Time-History Analysis, Dynamic Time-History Analysis, Incremental Dynamic Analysis (IDA), Response Spectrum Analysis (RSA), and Buckling Analysis. Structural limitations, brief or extensive information about the structure, as well as the result of the output approach, have a major impact on the selection of the structural analysis method. In this research, by examining each analytical method, their different characteristics are discussed.","PeriodicalId":132051,"journal":{"name":"ENG Transactions","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114817342","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}
Pub Date : 1900-01-01DOI: 10.52547/engt.3.2208092112804
Shova R Bhattarai, M. Feizbahr
This work investigated the Geospatial Information System (GIS) as a low-cost, high-precision, and rapid method for identifying the (RAP). This work also showed that (GIS) can be linked to new techniques including Remote Sensing (RS) and the Internet of Things (IoT) which can be serious subjects for research in the field of pavement engineering. The results of the present work showed that Remote Sensing (RS) has reduced fatigue and thermal cracks. Moreover, for modified asphalt samples, tests of Marshall stability, flow, resilience modulus, repeated load axial, uniaxial creep and indirect tensile fatigue were carried out. against fatigue of asphalt mixtures. However, all samples showed longer fatigue life than the base mixture. Fatigue performance improvement for all samples was between 5 and 38%. Organic oil-modified bitumens have the best performance compared to other modified bitumens. Containing 4% rhamnolipid biosurfactant increased by 213%. This indicates the excellent performance of bitumen modified with rhamnolipid biosurfactant against fatigue of asphalt mixtures. Comparing the results of this study with the results of previous studies, it can be concluded that samples containing rhamnolipid biosurfactant had a better behavior against fatigue compared to samples made with bitumen modified with other oils.
{"title":"Internet of Things (IoT) and Remote Sensing (RS) Based on Geospatial\u0000Information System (GIS) Against Fatigue of Asphalt Bitumen","authors":"Shova R Bhattarai, M. Feizbahr","doi":"10.52547/engt.3.2208092112804","DOIUrl":"https://doi.org/10.52547/engt.3.2208092112804","url":null,"abstract":"This work investigated the Geospatial Information System (GIS) as a low-cost, high-precision, and rapid method for identifying the (RAP). This work also showed that (GIS) can be linked to new techniques including Remote Sensing (RS) and the Internet of Things (IoT) which can be serious subjects for research in the field of pavement engineering. The results of the present work showed that Remote Sensing (RS) has reduced fatigue and thermal cracks. Moreover, for modified asphalt samples, tests of Marshall stability, flow, resilience modulus, repeated load axial, uniaxial creep and indirect tensile fatigue were carried out. against fatigue of asphalt mixtures. However, all samples showed longer fatigue life than the base mixture. Fatigue performance improvement for all samples was between 5 and 38%. Organic oil-modified bitumens have the best performance compared to other modified bitumens. Containing 4% rhamnolipid biosurfactant increased by 213%. This indicates the excellent performance of bitumen modified with rhamnolipid biosurfactant against fatigue of asphalt mixtures. Comparing the results of this study with the results of previous studies, it can be concluded that samples containing rhamnolipid biosurfactant had a better behavior against fatigue compared to samples made with bitumen modified with other oils.","PeriodicalId":132051,"journal":{"name":"ENG Transactions","volume":"1 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133080613","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}
Pub Date : 1900-01-01DOI: 10.52547/engt.3.20220101211
S. Saleh, M. Ranjbar
Tool wear, Cutting forces, Cutting temperature, Cutting fluids, AISI H13 hot work tool steel. This paper presents an experimental study on how to enhance the machining processes of the AISI H13 hot work tool steel by implementing a decent cooling and lubrication technic throughout the machining processes. Proper machining conditions and parameters for industrial applications are analysed namely; dry conditions, wet conditions of Boron and nano additive solutions. The flow rate is measured and calculated. The cutting fluid in different concentration is used in the hard-turning experiments. Different cutting speeds (100,150,200m/min), feed rates (0.03, 0.06, 0.09mm/rev), and a constant depth of cut (0.2mm) are considered. The assessments are equated against the machining forces and temperatures, using 12 pieces of PVD coated ceramic type turning insert-cutting tools. The results of experimental investigation show that the wet machining conditions have substantial effects across all the machining standards. It is indicated that the machining temperature is reduced tremendously during the both cases of wet machining conditions. Thus, wet machining by adding additives demonstrats enhanced machining conditions at the medium feed rates and lower cutting speeds by reducing the cutting force, which is a threat to the tool life.
{"title":"Experimental Investigation on Nano Oil Added Fluid Influence for the Machining of Hardened AISI H13 Hot Work Tool Steel","authors":"S. Saleh, M. Ranjbar","doi":"10.52547/engt.3.20220101211","DOIUrl":"https://doi.org/10.52547/engt.3.20220101211","url":null,"abstract":"Tool wear, Cutting forces, Cutting temperature, Cutting fluids, AISI H13 hot work tool steel. This paper presents an experimental study on how to enhance the machining processes of the AISI H13 hot work tool steel by implementing a decent cooling and lubrication technic throughout the machining processes. Proper machining conditions and parameters for industrial applications are analysed namely; dry conditions, wet conditions of Boron and nano additive solutions. The flow rate is measured and calculated. The cutting fluid in different concentration is used in the hard-turning experiments. Different cutting speeds (100,150,200m/min), feed rates (0.03, 0.06, 0.09mm/rev), and a constant depth of cut (0.2mm) are considered. The assessments are equated against the machining forces and temperatures, using 12 pieces of PVD coated ceramic type turning insert-cutting tools. The results of experimental investigation show that the wet machining conditions have substantial effects across all the machining standards. It is indicated that the machining temperature is reduced tremendously during the both cases of wet machining conditions. Thus, wet machining by adding additives demonstrats enhanced machining conditions at the medium feed rates and lower cutting speeds by reducing the cutting force, which is a threat to the tool life.","PeriodicalId":132051,"journal":{"name":"ENG Transactions","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130007254","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}
Pub Date : 1900-01-01DOI: 10.52547/engt.3.2203052112744
M. Mohammadzadeh, E. Rahmanian, Shima Tabakh, A. Mohammadzadeh
distribution, rate. Hyperthermia therapy using magnetic nanofluid is one method to regulate and optimize temperature, which is a substantial challenge in practice. The generated heat through the magnetic coil using magnetic nanoparticles in the tumor is closely associated with the dispersion of particles, frequency, magnetic field intensity, and the property of the tissue. Therefore, with magnetic nanoparticles injected into tumor tissue and subjects to an alternating magnetic field with high amplitude and frequency, tumor tissue temperature rises, which could lead to destroying cancer cells. In this study, to simulate the magnetic field intensity at different parts of the experiment and to solve heat transfer equation, a finite element method using COMSOL Multiphysics has been used. Then, to verify our model, an experimental setup was used to measure temperature distribution in an agarose gel with two different nanofluid concentrations for dispersed and concentrated injections. Simulation results have been compared with experimental ones to show the model's accuracy. Results indicate that the magnetic field in different parts of the gel is not the same, but the differences are insignificant. Temperature distribution for both types of nanofluid in dispersed and concentrated injections has a behavior like a polynomial function with a degree of three. Compared to dispersed injection, a higher temperature is observed in concentrated
{"title":"Magnetic Nanofluid Temperature Distribution with Different Concentrations and Diffusion of MNPs","authors":"M. Mohammadzadeh, E. Rahmanian, Shima Tabakh, A. Mohammadzadeh","doi":"10.52547/engt.3.2203052112744","DOIUrl":"https://doi.org/10.52547/engt.3.2203052112744","url":null,"abstract":"distribution, rate. Hyperthermia therapy using magnetic nanofluid is one method to regulate and optimize temperature, which is a substantial challenge in practice. The generated heat through the magnetic coil using magnetic nanoparticles in the tumor is closely associated with the dispersion of particles, frequency, magnetic field intensity, and the property of the tissue. Therefore, with magnetic nanoparticles injected into tumor tissue and subjects to an alternating magnetic field with high amplitude and frequency, tumor tissue temperature rises, which could lead to destroying cancer cells. In this study, to simulate the magnetic field intensity at different parts of the experiment and to solve heat transfer equation, a finite element method using COMSOL Multiphysics has been used. Then, to verify our model, an experimental setup was used to measure temperature distribution in an agarose gel with two different nanofluid concentrations for dispersed and concentrated injections. Simulation results have been compared with experimental ones to show the model's accuracy. Results indicate that the magnetic field in different parts of the gel is not the same, but the differences are insignificant. Temperature distribution for both types of nanofluid in dispersed and concentrated injections has a behavior like a polynomial function with a degree of three. Compared to dispersed injection, a higher temperature is observed in concentrated","PeriodicalId":132051,"journal":{"name":"ENG Transactions","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132291856","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}
Pub Date : 1900-01-01DOI: 10.52547/engt.3.20220101212
Abdoljalil Addeh, Noorbakhsh Amiri Golilarz, T. Gashteroodkhani, Aref Moradkhani Roshandeh
Abdoljalil Addeh, Noorbakhsh Amiri Golilarz, Tayyebeh Asgari Gashteroodkhani, Aref Moradkhani Roshandeh 1 University of Calgary, Calgary, Canada 2 School of Electrical, Computer, and Biomedical Engineering, Southern Illinois University Carbondale, Carbondale, Illinois, USA 3 Department of Electrical and Computer Engineering, University at Albany SUNY, NY, USA 4 University of Illinois at Urbana-Champaign, Illinois, USA
{"title":"Orca-RBFNN: A New Machine Learning Method for Control Chart Pattern Recognition","authors":"Abdoljalil Addeh, Noorbakhsh Amiri Golilarz, T. Gashteroodkhani, Aref Moradkhani Roshandeh","doi":"10.52547/engt.3.20220101212","DOIUrl":"https://doi.org/10.52547/engt.3.20220101212","url":null,"abstract":"Abdoljalil Addeh, Noorbakhsh Amiri Golilarz, Tayyebeh Asgari Gashteroodkhani, Aref Moradkhani Roshandeh 1 University of Calgary, Calgary, Canada 2 School of Electrical, Computer, and Biomedical Engineering, Southern Illinois University Carbondale, Carbondale, Illinois, USA 3 Department of Electrical and Computer Engineering, University at Albany SUNY, NY, USA 4 University of Illinois at Urbana-Champaign, Illinois, USA","PeriodicalId":132051,"journal":{"name":"ENG Transactions","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131352827","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}
Pub Date : 1900-01-01DOI: 10.52547/engt.3.2210152112819
Saddam Hussain, Shifa Moiz
The study explores if tempered or strengthened with wire meshes, a single glass layer can be termed protective glass. Tempered glass demolishes into small fragments with harsh corners when it fractures. Because of the fracture pattern (fractures in pieces), heat- or chemically pre-stressed glass panel cannot be called safety glass panel until laminated. Bending experiments were run, and the bending strength of single-layer tempered and float glass panel was calculated using well-known formulae. In the context of float and tempered glass panel, the computed values for surface complexation using ultimate strain were matched to the bending strength findings. The following question arises: are the strains measured in the centre of the glass and towards the edge comparable? Strain measurements were also taken on the surface of packed samples in the centre and towards the edge of the glass. Fractures with tiny sharp points characterize glass errors. Despite careful manufacturing and maintenance of glass panes, hits by sharp particles or environmental effects can produce surface flaws. Glass manufacturing processes, such as edge polishing, have an impact on glass strength and can produce defects that spread during the glass's lifespan.
{"title":"An Overview of Tempered Glass Load Bearing Capability and Mechanical Behavior","authors":"Saddam Hussain, Shifa Moiz","doi":"10.52547/engt.3.2210152112819","DOIUrl":"https://doi.org/10.52547/engt.3.2210152112819","url":null,"abstract":"The study explores if tempered or strengthened with wire meshes, a single glass layer can be termed protective glass. Tempered glass demolishes into small fragments with harsh corners when it fractures. Because of the fracture pattern (fractures in pieces), heat- or chemically pre-stressed glass panel cannot be called safety glass panel until laminated. Bending experiments were run, and the bending strength of single-layer tempered and float glass panel was calculated using well-known formulae. In the context of float and tempered glass panel, the computed values for surface complexation using ultimate strain were matched to the bending strength findings. The following question arises: are the strains measured in the centre of the glass and towards the edge comparable? Strain measurements were also taken on the surface of packed samples in the centre and towards the edge of the glass. Fractures with tiny sharp points characterize glass errors. Despite careful manufacturing and maintenance of glass panes, hits by sharp particles or environmental effects can produce surface flaws. Glass manufacturing processes, such as edge polishing, have an impact on glass strength and can produce defects that spread during the glass's lifespan.","PeriodicalId":132051,"journal":{"name":"ENG Transactions","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127278243","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}
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