Yazan Almomani, Roaa Alawadi, Ziad N. Taqieddin, Ahmad N. Tarawneh, Wael Rezeq, Anas Aljuneidi
The application of ultra-high-performance concrete (UHPC) on top of normal-strength concrete (NSC) is a practical rehabilitation approach to maintaining degraded and damaged concrete members. However, a successful repair operation and consequent adequate performance are very much dependent on the ability of the interface between UHPC and NSC to present a superior performance of bonding under various surface conditions. Consequently, predicting the strength of the bond at the interface joining the existing NSC and the newly placed overlaying UHPC – with sufficient certainty – has become a vital and required step in assessing and maintaining UHPC rehabilitated NSC structural elements. In this work, Artificial Neural Network (ANN as well as Gene Expression Programming (GEP methods are utilized to predict the bond strength between the overlaying UHPC and the substrate NSC using a comprehensive database set consisting of 264 experimental data points gathered from the literature. A parametric ANN analysis is performed to examine and assess the effect of each parameter on the interfacial bond strength. The following five factors are identified as key parameters through the GEP and ANN analyses: curing method, age of UHPC, the compressive strength of NSC, interfacial surface treatment, and moisture conditions. The developed ANN and GEP models have good accuracy and closer predictions of the bond strength of the slant shear test and the splitting tensile strength with root mean square error (RMSE) values of 5.0, 4.3, and coefficient of variation (COV) values of 37%, 24%, respectively.
{"title":"BOND STRENGTH PREDICTION OF UHPC–NSC INTERFACE","authors":"Yazan Almomani, Roaa Alawadi, Ziad N. Taqieddin, Ahmad N. Tarawneh, Wael Rezeq, Anas Aljuneidi","doi":"10.5937/jaes0-41237","DOIUrl":"https://doi.org/10.5937/jaes0-41237","url":null,"abstract":"The application of ultra-high-performance concrete (UHPC) on top of normal-strength concrete (NSC) is a practical rehabilitation approach to maintaining degraded and damaged concrete members. However, a successful repair operation and consequent adequate performance are very much dependent on the ability of the interface between UHPC and NSC to present a superior performance of bonding under various surface conditions. Consequently, predicting the strength of the bond at the interface joining the existing NSC and the newly placed overlaying UHPC – with sufficient certainty – has become a vital and required step in assessing and maintaining UHPC rehabilitated NSC structural elements. In this work, Artificial Neural Network (ANN as well as Gene Expression Programming (GEP methods are utilized to predict the bond strength between the overlaying UHPC and the substrate NSC using a comprehensive database set consisting of 264 experimental data points gathered from the literature. A parametric ANN analysis is performed to examine and assess the effect of each parameter on the interfacial bond strength. The following five factors are identified as key parameters through the GEP and ANN analyses: curing method, age of UHPC, the compressive strength of NSC, interfacial surface treatment, and moisture conditions. The developed ANN and GEP models have good accuracy and closer predictions of the bond strength of the slant shear test and the splitting tensile strength with root mean square error (RMSE) values of 5.0, 4.3, and coefficient of variation (COV) values of 37%, 24%, respectively.","PeriodicalId":35468,"journal":{"name":"Journal of Applied Engineering Science","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77757835","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}
High strength low alloy steel (HSLA DOCOL 500 LA) is utilized in the automotive structure because of its superior qualities such as good fatigue resistance, a high strength-to-weight ratio, assisting in reducing the weight of the vehicle, increasing fuel efficiency and lower CO2 emissions. Resistance Spot Welding (RSW) is the most welding technique that is used to join automobile parts together. This study investigated the RSW process for high-strength steel. By utilizing the Taguchi approach, the optimization process for double spot nuggets with the principal welding parameters of welding current, welding time, and electrode force was carried out. The values of optimum parameters were 8800Amp for welding current, welding time of 30 cycles and 2560 N for electrode force. Mechanical and microstructure tests were carried out to study the failure modes while the fatigue test was achieved to obtain the fatigue endurance limit and it was at a maximum load 1500 N and during the fatigue test two types of failure happened: full pull-out failure and cracks around the nugget zone.
{"title":"ANALYSIS OF DOUBLE RESISTANCE SPOT WELDING'S FAILURE IN HIGH STRENGTH LOW ALLOY STEEL","authors":"Hayder Al-Bayati, I. Mahmood, F. Khoshnaw","doi":"10.5937/jaes0-40923","DOIUrl":"https://doi.org/10.5937/jaes0-40923","url":null,"abstract":"High strength low alloy steel (HSLA DOCOL 500 LA) is utilized in the automotive structure because of its superior qualities such as good fatigue resistance, a high strength-to-weight ratio, assisting in reducing the weight of the vehicle, increasing fuel efficiency and lower CO2 emissions. Resistance Spot Welding (RSW) is the most welding technique that is used to join automobile parts together. This study investigated the RSW process for high-strength steel. By utilizing the Taguchi approach, the optimization process for double spot nuggets with the principal welding parameters of welding current, welding time, and electrode force was carried out. The values of optimum parameters were 8800Amp for welding current, welding time of 30 cycles and 2560 N for electrode force. Mechanical and microstructure tests were carried out to study the failure modes while the fatigue test was achieved to obtain the fatigue endurance limit and it was at a maximum load 1500 N and during the fatigue test two types of failure happened: full pull-out failure and cracks around the nugget zone. ","PeriodicalId":35468,"journal":{"name":"Journal of Applied Engineering Science","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87629627","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}
I. P. A. P. Wirawan, I. G. G. Wiryadi, I. K. D. K. Tubuh, Ni Luh Made Ayu Mirayani Pradnyadari
This numerical analysis has discussed the behaviour of the frame structure with eccentric infill wall opening modelled with shell and strut elements. In the beginning, validation models were created by following the laboratory tests results. Then, a simple one-storey infill frame structure with an opening was modelled with varying ratios by taking the strut angle formed to obtain an equation for the strut width that corresponds to the behaviour of shell element model with strut angles variation. The strut width equation was then applied to the 3-storey infill frame structures. The behaviour comparison between the strut and shell element model was then investigated by linear and nonlinear static analysis. The strut width equation for infill wall frame with eccentric openings (Weo) is determined by modifying the stiffness coefficient (Ce) based on the opening ratio. The application of the Weo equation to the infill frame model showed that the strut model had a comparable behaviour to the shell element model. The drift ratio comparison showed that the smaller the strut angle, the greater the structure stiffness. The pushover analysis shows the infilled frame model was able to withstand a larger base shear force than the open frame model.
{"title":"ANALYTICAL STUDY ON BEHAVIOUR AND PERFORMANCE OF INFILLED FRAME STRUCTURE WITH REINFORCED ECCENTRIC OPENING","authors":"I. P. A. P. Wirawan, I. G. G. Wiryadi, I. K. D. K. Tubuh, Ni Luh Made Ayu Mirayani Pradnyadari","doi":"10.5937/jaes0-40596","DOIUrl":"https://doi.org/10.5937/jaes0-40596","url":null,"abstract":"This numerical analysis has discussed the behaviour of the frame structure with eccentric infill wall opening modelled with shell and strut elements. In the beginning, validation models were created by following the laboratory tests results. Then, a simple one-storey infill frame structure with an opening was modelled with varying ratios by taking the strut angle formed to obtain an equation for the strut width that corresponds to the behaviour of shell element model with strut angles variation. The strut width equation was then applied to the 3-storey infill frame structures. The behaviour comparison between the strut and shell element model was then investigated by linear and nonlinear static analysis. The strut width equation for infill wall frame with eccentric openings (Weo) is determined by modifying the stiffness coefficient (Ce) based on the opening ratio. The application of the Weo equation to the infill frame model showed that the strut model had a comparable behaviour to the shell element model. The drift ratio comparison showed that the smaller the strut angle, the greater the structure stiffness. The pushover analysis shows the infilled frame model was able to withstand a larger base shear force than the open frame model.","PeriodicalId":35468,"journal":{"name":"Journal of Applied Engineering Science","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84339715","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}
E. Erwin, Slamet Wiyono, K. Nugraha, Rafiansyah Putra, Bembi Triputranto
All Vertical turbines use a fixed pitch angle; the determination of the pitch angle is very influential on the characteristics of a vertical wind turbine. In the initial stages of planning a Savonius Darrieus vertical turbine, an experiment was carried out to determine the best pitch angle, and the best pitch angle was 7 degrees. In its development, many designs have changed from the initial design, so it is necessary to carry out field experiments to get the best pitch angle. The purpose of this study is to recommend the best pitch angle for hybrid Savonius Darrieus dual shaft vertical wind turbines. That suit each wind characteristic with the variable performance tip speed ratio (TSR) also (λ), coefficient of performance (Cp), mechanical power and mechanical energy. Data is collected for 8 hours in real-time, using proximity sensors, anemometers, and an Arduino Mega to record and store data on a computer. The data collection interval at every 10 seconds. The data obtained is the RPM of the rotor and the RPM of the anemometer. The results of this study are the recommended pitch angle according to the wind speed, pitch angle of 5 degrees for 1 m/s wind speed, pitch angle of 8 degrees for 2 m/s a, and pitch angle of 8 degrees for 3 m/s wind speed.
{"title":"THE EFFECT OF PITCH ANGLE VARIATION ON PERFORMANCE OF HYBRID DARRIEUS-SAVONIUS DUAL SHAFT VERTICAL WIND TURBINE","authors":"E. Erwin, Slamet Wiyono, K. Nugraha, Rafiansyah Putra, Bembi Triputranto","doi":"10.5937/jaes0-41001","DOIUrl":"https://doi.org/10.5937/jaes0-41001","url":null,"abstract":"\u0000All Vertical turbines use a fixed pitch angle; the determination of the pitch angle is very influential on the characteristics of a vertical wind turbine. In the initial stages of planning a Savonius Darrieus vertical turbine, an experiment was carried out to determine the best pitch angle, and the best pitch angle was 7 degrees. In its development, many designs have changed from the initial design, so it is necessary to carry out field experiments to get the best pitch angle. The purpose of this study is to recommend the best pitch angle for hybrid Savonius Darrieus dual shaft vertical wind turbines. That suit each wind characteristic with the variable performance tip speed ratio (TSR) also (λ), coefficient of performance (Cp), mechanical power and mechanical energy. Data is collected for 8 hours in real-time, using proximity sensors, anemometers, and an Arduino Mega to record and store data on a computer. The data collection interval at every 10 seconds. The data obtained is the RPM of the rotor and the RPM of the anemometer. The results of this study are the recommended pitch angle according to the wind speed, pitch angle of 5 degrees for 1 m/s wind speed, pitch angle of 8 degrees for 2 m/s a, and pitch angle of 8 degrees for 3 m/s wind speed.","PeriodicalId":35468,"journal":{"name":"Journal of Applied Engineering Science","volume":"38 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89051535","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}
Anmar H. Salih, Hussain Dhafir Hussain, A. A. G. Abu Altemen, Nibras Z Jameel
Previous researches have shown that partial replacement of aggregates with Expanded Polystyrene (EPS) in concrete mixes reduces both the density and compressive strength of concrete, but enhances its durability. As there is no effort was made to determine the optimum EPS/gravel replacement ratio in a concrete mixture, this study triedl to determine this ratio. An experimental investigation is performed by using six different concrete mixes produced by partially replacing gravel with an equivalent volume of EPS beads. The adopted volumetric replacement ratios of coarse aggregate by EPS were (11%, 22%, 33%, 44%, and 55%). The results indicated that A drop in the density of both the fresh and hardened concrete was found to be in the range (of 0% to 35%) compared to the corresponding density value of the base mix (without EPS). Concrete compressive strength was also found to drop in the range (0% to 91%) compared with the corresponding value of the base mix. Within the limit of this work, it was found that the 22% replacement volumetric ratio of coarse aggregate with EPS is the optimum ratio based on a ratio of the drop in density to the drop in compressive strength. Generally, it was concluded that the optimum volumetric replacement ratio lies between 15% to 30%, according to the comparison with other prior studies.
{"title":"AN EXPERIMENTAL INVESTIGATION OF THE OPTIMUM REPLACEMENT RATIO OF COARSE GRAVEL WITH EXPANDED POLYSTYRENE BEADS IN CONCRETE","authors":"Anmar H. Salih, Hussain Dhafir Hussain, A. A. G. Abu Altemen, Nibras Z Jameel","doi":"10.5937/jaes0-39842","DOIUrl":"https://doi.org/10.5937/jaes0-39842","url":null,"abstract":"Previous researches have shown that partial replacement of aggregates with Expanded Polystyrene (EPS) in concrete mixes reduces both the density and compressive strength of concrete, but enhances its durability. As there is no effort was made to determine the optimum EPS/gravel replacement ratio in a concrete mixture, this study triedl to determine this ratio. An experimental investigation is performed by using six different concrete mixes produced by partially replacing gravel with an equivalent volume of EPS beads. The adopted volumetric replacement ratios of coarse aggregate by EPS were (11%, 22%, 33%, 44%, and 55%). The results indicated that A drop in the density of both the fresh and hardened concrete was found to be in the range (of 0% to 35%) compared to the corresponding density value of the base mix (without EPS). Concrete compressive strength was also found to drop in the range (0% to 91%) compared with the corresponding value of the base mix. Within the limit of this work, it was found that the 22% replacement volumetric ratio of coarse aggregate with EPS is the optimum ratio based on a ratio of the drop in density to the drop in compressive strength. Generally, it was concluded that the optimum volumetric replacement ratio lies between 15% to 30%, according to the comparison with other prior studies.","PeriodicalId":35468,"journal":{"name":"Journal of Applied Engineering Science","volume":"19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85504576","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}
This paper aims to investigate cutting and lubrication parameters on surface roughness, cutting force, and material removal rate in face milling of JIS S50C carbon steel under a peanut oil-assisted Minimum Quantity Lubricant system. The five 3-level cutting process parameters were considered variants, including cutting speed, feed rate, depth of cut, air pressure, and lubrication flow. The experimental design was based on Taguchi's orthogonal array L27. The Analysis of variance is used to analyze the effect of cutting parameters and lubrication conditions on the surface roughness and cutting force. In addition, both regression optimizer procedures based on regression models and the Multi-Criteria Decision Making method were successfully applied to find the optimum conditions of the cutting parameter. The results showed the advantage and disadvantages of each technique. The Multi-Objective Optimization by Ratio Analysis was used in finding the best alternative. However, these values may not be an optimum condition. Mathematically, a regression optimizer may better determine the optimal value.
{"title":"The INVESTIGATION AND OPTIMIZATION OF PARAMETERS IN FACE MILLING OF S50C STEEL UNDER MQL SYSTEM","authors":"T. Nguyen, V. Pham","doi":"10.5937/jaes0-38857","DOIUrl":"https://doi.org/10.5937/jaes0-38857","url":null,"abstract":"This paper aims to investigate cutting and lubrication parameters on surface roughness, cutting force, and material removal rate in face milling of JIS S50C carbon steel under a peanut oil-assisted Minimum Quantity Lubricant system. The five 3-level cutting process parameters were considered variants, including cutting speed, feed rate, depth of cut, air pressure, and lubrication flow. The experimental design was based on Taguchi's orthogonal array L27. The Analysis of variance is used to analyze the effect of cutting parameters and lubrication conditions on the surface roughness and cutting force. In addition, both regression optimizer procedures based on regression models and the Multi-Criteria Decision Making method were successfully applied to find the optimum conditions of the cutting parameter. The results showed the advantage and disadvantages of each technique. The Multi-Objective Optimization by Ratio Analysis was used in finding the best alternative. However, these values may not be an optimum condition. Mathematically, a regression optimizer may better determine the optimal value.","PeriodicalId":35468,"journal":{"name":"Journal of Applied Engineering Science","volume":"106 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90645754","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}
When performing the multi-criteria decision making to choose the best solution, if some solutions are removed from the list of solutions or some solutions are added to the list of solutions, the decision making must be re-performed from the begining. This study proposes a new method to remove this limitation. The combination of the DOE (Design Of Experimental) method and PIV (Proximity Indexed Value) method is proposed in this paper. This combination is used to build the relationship between the scores of the solutions and the criteria. When the list of solution to be ranked has been removed or have been added some solutions, the ranking of some solutions only needs to use this relationship without having to recalculate from the beginning. Four different examples were applied to evaluate the effectiveness of the proposed method. The obtained results show that the proposed method ensures the required accuracy as well as its outstanding advantages. The limitations of the proposed method that need to be overcome are also pointed out at the end of this paper.
{"title":"COMBINATION OF DOE AND PIV METHODS FOR MULTI-CRITERIA DECISION MAKING","authors":"D. Duc Trung, Tran Ngoc Tan","doi":"10.5937/jaes0-41482","DOIUrl":"https://doi.org/10.5937/jaes0-41482","url":null,"abstract":"When performing the multi-criteria decision making to choose the best solution, if some solutions are removed from the list of solutions or some solutions are added to the list of solutions, the decision making must be re-performed from the begining. This study proposes a new method to remove this limitation. The combination of the DOE (Design Of Experimental) method and PIV (Proximity Indexed Value) method is proposed in this paper. This combination is used to build the relationship between the scores of the solutions and the criteria. When the list of solution to be ranked has been removed or have been added some solutions, the ranking of some solutions only needs to use this relationship without having to recalculate from the beginning. Four different examples were applied to evaluate the effectiveness of the proposed method. The obtained results show that the proposed method ensures the required accuracy as well as its outstanding advantages. The limitations of the proposed method that need to be overcome are also pointed out at the end of this paper.","PeriodicalId":35468,"journal":{"name":"Journal of Applied Engineering Science","volume":"40 3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79903985","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}
A cost framework we applied to provide an overview of bioenergy issues related to the process with renewable fuels and focuses on several possible profitability scenarios and the future development of Slovak power plants in a competitive electricity market. The aim of the paper is to propose alternative scenarios and forecast the development of Slovak power plants. The economic benefits of transitioning to alternative biofuel were analysed within the research in cooperation with the Vojany Black Coal Power Plant (EVO). To confirm the most economically efficient types of fuels used in the combustion process was used Data Envelopment analysis (DEA). Within the methodology used were also identified the factors influencing the price of electric energy (EE) on the market and subsequently the profitability of power plants. Scenarios for the future development of EE prices were identified using the statistical method FORECAST.FUNCTION. Despite the predicted increase in the market price of EE we conclude that the use of co-combustion fuels is socially beneficial compared to the use of biofuels under a wide range of assumptions regarding technical, economic and environmental characteristics. The relationship and extent of influence between coal, emission allowance and oil prices, determining EE prices were quantified by regression analysis and Analysis of Variances (ANOVA). The paper contains current data from available databases and market forecasts and the absence of analyses for economic development, sustainability, and competitiveness of Slovak power plants in the unfavourable period of the ongoing COVID-19 pandemic and war conflict Russia-Ukraine.
{"title":"COMPETITIVENESS OF SLOVAK POWER PLANTS IN CONNECTION WITH GLOBAL CHANGES IN THE DEVELOPMENT OF ELECTRIC ENERGY PRICES","authors":"L. Štofová, P. Szaryszová, Jana Vajdová","doi":"10.5937/jaes0-39143","DOIUrl":"https://doi.org/10.5937/jaes0-39143","url":null,"abstract":"A cost framework we applied to provide an overview of bioenergy issues related to the process with renewable fuels and focuses on several possible profitability scenarios and the future development of Slovak power plants in a competitive electricity market. The aim of the paper is to propose alternative scenarios and forecast the development of Slovak power plants. The economic benefits of transitioning to alternative biofuel were analysed within the research in cooperation with the Vojany Black Coal Power Plant (EVO). To confirm the most economically efficient types of fuels used in the combustion process was used Data Envelopment analysis (DEA). Within the methodology used were also identified the factors influencing the price of electric energy (EE) on the market and subsequently the profitability of power plants. Scenarios for the future development of EE prices were identified using the statistical method FORECAST.FUNCTION. Despite the predicted increase in the market price of EE we conclude that the use of co-combustion fuels is socially beneficial compared to the use of biofuels under a wide range of assumptions regarding technical, economic and environmental characteristics. The relationship and extent of influence between coal, emission allowance and oil prices, determining EE prices were quantified by regression analysis and Analysis of Variances (ANOVA). The paper contains current data from available databases and market forecasts and the absence of analyses for economic development, sustainability, and competitiveness of Slovak power plants in the unfavourable period of the ongoing COVID-19 pandemic and war conflict Russia-Ukraine.","PeriodicalId":35468,"journal":{"name":"Journal of Applied Engineering Science","volume":"60 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83747648","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}
J. A. Gomez Camperos, Carlos Mauricio Ruiz Diaz, Marlon Mauricio Hernández Cely
In this work, an application of artificial intelligence in the oils & gas industry is developed to iden-tify flow patterns in horizontal and vertical pipes of two-phase flow of oil and water, normalizing the word information and converting it to numerical values through the development of an artifi-cial neural network, whose input layer is composed of the surface velocities of each fluid, the ve-locity of the mixture, the volumetric fraction of the substances, diameter and the inclination of pipelines and the oil viscosity. The Artificial Neural Networks (ANN) has two hidden layers composed of 45 neurons. The database with which the model was trained, validated, and tested has 6993 rows of information corresponding to the inputs of the intelligent system and particular-ized for annular flow in horizontal pipes and DO/W in vertical pipelines. Notice that the infor-mation was obtained after re-engineering the information presented by 12 and 18 authors for hor-izontal and vertical piping, respectively. Finally, the mean square error obtained by the model was around 1.38%, with a maximum coefficient of determination of 0.79.
{"title":"SPECIALIST SYSTEM IN FLOW PATTERN IDENTIFICATION USING ARTIFICIAL NEURAL NETWORKS","authors":"J. A. Gomez Camperos, Carlos Mauricio Ruiz Diaz, Marlon Mauricio Hernández Cely","doi":"10.5937/jaes0-40309","DOIUrl":"https://doi.org/10.5937/jaes0-40309","url":null,"abstract":"In this work, an application of artificial intelligence in the oils & gas industry is developed to iden-tify flow patterns in horizontal and vertical pipes of two-phase flow of oil and water, normalizing the word information and converting it to numerical values through the development of an artifi-cial neural network, whose input layer is composed of the surface velocities of each fluid, the ve-locity of the mixture, the volumetric fraction of the substances, diameter and the inclination of pipelines and the oil viscosity. The Artificial Neural Networks (ANN) has two hidden layers composed of 45 neurons. The database with which the model was trained, validated, and tested has 6993 rows of information corresponding to the inputs of the intelligent system and particular-ized for annular flow in horizontal pipes and DO/W in vertical pipelines. Notice that the infor-mation was obtained after re-engineering the information presented by 12 and 18 authors for hor-izontal and vertical piping, respectively. Finally, the mean square error obtained by the model was around 1.38%, with a maximum coefficient of determination of 0.79.","PeriodicalId":35468,"journal":{"name":"Journal of Applied Engineering Science","volume":"2005 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86895612","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}
Mohammed ALTurki, Nedal T. Ratrout, Ibrahim Al-Sghan
Autonomous driving can overcome the limitations of stochastic human driving behavior. Therefore, implementing autonomous vehicles (AVs) could improve the efficiency of road networks. This study investigates the impacts of AV implementation on the performance of a signalized intersection considering a mixed traffic environment comprising regular vehicles (RVs) and AVs through microscopic traffic simulations. Accordingly, 24 scenarios with different AV implementation rates, AV driving models, and traffic volume conditions, were developed and evaluated using the Vissim simulation software. The results indicated that even partial AV implementation could improve the operational efficiency of a signalized intersection compared to full RV traffic. AV implementation reduced the vehicle delay, stopped delay, and queue length. The expected improvements are primarily based on the implementation rate, and are higher at higher rates (≥50%). The improvements are highest at moderate traffic volumes. Compared to the moderate level, partially replacing RVs with AVs at free-flow conditions does not significantly impact the performance of the intersection. Under congested conditions, the expected improvements from AV implementation are mitigated by the high traffic volumes. Considering the different AV models employed herein, the connected autonomous vehicle (CAV) model exhibited the best performance.
{"title":"IMPACT OF AUTONOMOUS VEHICLES ON THE PERFORMANCE OF A SIGNALIZED INTERSECTION UNDER DIFFERENT MIXED TRAFFIC CONDITIONS: A SIMULATION-BASED INVESTIGATION","authors":"Mohammed ALTurki, Nedal T. Ratrout, Ibrahim Al-Sghan","doi":"10.5937/jaes0-39994","DOIUrl":"https://doi.org/10.5937/jaes0-39994","url":null,"abstract":"Autonomous driving can overcome the limitations of stochastic human driving behavior. Therefore, implementing autonomous vehicles (AVs) could improve the efficiency of road networks. This study investigates the impacts of AV implementation on the performance of a signalized intersection considering a mixed traffic environment comprising regular vehicles (RVs) and AVs through microscopic traffic simulations. Accordingly, 24 scenarios with different AV implementation rates, AV driving models, and traffic volume conditions, were developed and evaluated using the Vissim simulation software. The results indicated that even partial AV implementation could improve the operational efficiency of a signalized intersection compared to full RV traffic. AV implementation reduced the vehicle delay, stopped delay, and queue length. The expected improvements are primarily based on the implementation rate, and are higher at higher rates (≥50%). The improvements are highest at moderate traffic volumes. Compared to the moderate level, partially replacing RVs with AVs at free-flow conditions does not significantly impact the performance of the intersection. Under congested conditions, the expected improvements from AV implementation are mitigated by the high traffic volumes. Considering the different AV models employed herein, the connected autonomous vehicle (CAV) model exhibited the best performance.","PeriodicalId":35468,"journal":{"name":"Journal of Applied Engineering Science","volume":"81 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82445666","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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