Most of the real contaminant problems are defined domains that are geometrically complex and can have different boundary conditions in different areas. Therefore, it is usually difficult to find a solution analytically, so we use the approximate method to generate an approximate function. One answer to this problem is the finite element approach (FEM). This study presents a partial differential equation (PDE) simulation system that uses numerical techniques for the distribution of pollutant concentrations in groundwater in space and time. The movement of the liquid is described by the incompressible steady-state Navier-Strokes equation, while the transport of pollutants is described by the diffusion-convention equation. The variation formulation that forms the basis of FEM and MATLAB is discussed along with the selection of the abstract approximation space and the welfare of the weak formulation. The motivation for this study comes from a specific and considered water body with the discharge of factory effluents on the ground that ends up reducing the quality of groundwater. First, the fluid flow equation is solved to obtain velocity and pressure profiles. Steady-state concentration profiles were obtained for various values of diffusion coefficient ( D ), baseline, and input concentrations. The results showed that decreasing the diffusion coefficient D increased the number of pollutants for convective transport and decreased the number of pollutants that diffused from the entrance. Although groundwater is not completely safe, it is concluded that experimental studies are necessary decision-making basis for water resource protection, especially in water pollution emergencies.
{"title":"Numerical Simulation of a Two-Dimensional Groundwater Pollute Transport Problem Using Incompressible Steady-State Navier-Stokes Equations and Diffusion-Convection Equations","authors":"J. Nyende, Isaac Enyogoi, J. Mango, H. Kasumba","doi":"10.1155/2022/7419502","DOIUrl":"https://doi.org/10.1155/2022/7419502","url":null,"abstract":"Most of the real contaminant problems are defined domains that are geometrically complex and can have different boundary conditions in different areas. Therefore, it is usually difficult to find a solution analytically, so we use the approximate method to generate an approximate function. One answer to this problem is the finite element approach (FEM). This study presents a partial differential equation (PDE) simulation system that uses numerical techniques for the distribution of pollutant concentrations in groundwater in space and time. The movement of the liquid is described by the incompressible steady-state Navier-Strokes equation, while the transport of pollutants is described by the diffusion-convention equation. The variation formulation that forms the basis of FEM and MATLAB is discussed along with the selection of the abstract approximation space and the welfare of the weak formulation. The motivation for this study comes from a specific and considered water body with the discharge of factory effluents on the ground that ends up reducing the quality of groundwater. First, the fluid flow equation is solved to obtain velocity and pressure profiles. Steady-state concentration profiles were obtained for various values of diffusion coefficient (\u0000 \u0000 D\u0000 \u0000 ), baseline, and input concentrations. The results showed that decreasing the diffusion coefficient \u0000 \u0000 D\u0000 \u0000 increased the number of pollutants for convective transport and decreased the number of pollutants that diffused from the entrance. Although groundwater is not completely safe, it is concluded that experimental studies are necessary decision-making basis for water resource protection, especially in water pollution emergencies.","PeriodicalId":45541,"journal":{"name":"Modelling and Simulation in Engineering","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2022-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85518883","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}
L. Balakrishnan, S. Kolappapillai, S. Muthusamy, K. Abdul, C. E. S. Sreedharan, Sivaraj Murugan
It is mandatory to improve the design of the flat plate collector (FPC) used for solar thermal applications to perform well. One way to improve the performance characteristics of FPC is to retain the heat energy available inside the collector. That is, a collector should be capable to give more heat energy to working fluid for a longer duration. It has been implemented in such a way in an entertained and improved model which is known as solar cavity collector (SCC). It consists of 5 numbers of cavities equipped with inlet and outlet tubes. The same having with an enclosure has been constructed and investigated to find the optimal performance. In general, the physical dimensions of the collector influence more the functioning behaviors of SCC. The performance variables that are considered for the present study are the comparison between 5 and 7 numbers of cavities and the effect of aperture entry. Collector angle of tilt, two types of flow mode, and water mass flow rates are the other performance variables that are also considered. The data from the experimentations are trained, tested, and validated with the help of the artificial neural network (ANN). The accuracy of the model is 96%, and the end results revealed the same trend followed by both experimental and ANN simulation results. Also, the variations that occur between ANN and experimented results are ±4%.
{"title":"Performance Characterization of a Solar Cavity Collector Using Artificial Neural Network","authors":"L. Balakrishnan, S. Kolappapillai, S. Muthusamy, K. Abdul, C. E. S. Sreedharan, Sivaraj Murugan","doi":"10.1155/2022/7129833","DOIUrl":"https://doi.org/10.1155/2022/7129833","url":null,"abstract":"It is mandatory to improve the design of the flat plate collector (FPC) used for solar thermal applications to perform well. One way to improve the performance characteristics of FPC is to retain the heat energy available inside the collector. That is, a collector should be capable to give more heat energy to working fluid for a longer duration. It has been implemented in such a way in an entertained and improved model which is known as solar cavity collector (SCC). It consists of 5 numbers of cavities equipped with inlet and outlet tubes. The same having with an enclosure has been constructed and investigated to find the optimal performance. In general, the physical dimensions of the collector influence more the functioning behaviors of SCC. The performance variables that are considered for the present study are the comparison between 5 and 7 numbers of cavities and the effect of aperture entry. Collector angle of tilt, two types of flow mode, and water mass flow rates are the other performance variables that are also considered. The data from the experimentations are trained, tested, and validated with the help of the artificial neural network (ANN). The accuracy of the model is 96%, and the end results revealed the same trend followed by both experimental and ANN simulation results. Also, the variations that occur between ANN and experimented results are ±4%.","PeriodicalId":45541,"journal":{"name":"Modelling and Simulation in Engineering","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78500531","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}
Mobile robots are often in a situation where they need to find a bump-free path or navigation in their environment from any starting to a specific target point. Within this study, improving the navigation problem of a mobile robot iteratively by using a numerical method based on the potential field method is one of the main aims. This potential field will lean on the use of Laplace’s equation to restrain the formation of a potential function across regions within the mobile robot configuration area. The present paper proposed a Quarter-Sweep Modified Accelerated Overrelaxation (QSMAOR) approach to improve the pathfinding of mobile robots in a given environment. The experiment shows that, by using a finite difference method, it is capable of producing an optimal path and creating a smooth path between the starting and target point. The results of the simulation also show that this numerical approach works more rapidly and provides a smoother/clearer direction than the previous study.
{"title":"Pathfinding for Mobile Robot Navigation by Exerting the Quarter-Sweep Modified Accelerated Overrelaxation (QSMAOR) Iterative Approach via the Laplacian Operator","authors":"A. A. Dahalan, A. Saudi, J. Sulaiman","doi":"10.1155/2022/9388146","DOIUrl":"https://doi.org/10.1155/2022/9388146","url":null,"abstract":"Mobile robots are often in a situation where they need to find a bump-free path or navigation in their environment from any starting to a specific target point. Within this study, improving the navigation problem of a mobile robot iteratively by using a numerical method based on the potential field method is one of the main aims. This potential field will lean on the use of Laplace’s equation to restrain the formation of a potential function across regions within the mobile robot configuration area. The present paper proposed a Quarter-Sweep Modified Accelerated Overrelaxation (QSMAOR) approach to improve the pathfinding of mobile robots in a given environment. The experiment shows that, by using a finite difference method, it is capable of producing an optimal path and creating a smooth path between the starting and target point. The results of the simulation also show that this numerical approach works more rapidly and provides a smoother/clearer direction than the previous study.","PeriodicalId":45541,"journal":{"name":"Modelling and Simulation in Engineering","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2022-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86864804","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}
B. Mulyanti, C. Wulandari, L. Hasanah, R. Pawinanto, I. Hamidah
In the third generation of the solar cell era, significant trends in the development of perovskite solar cells (PSC) were observed. Exploring suitable materials for its wafer structure, such as perovskite and electron transport layers (ETL), were a major emphasis of high-performance PSC development. Because of its matching band structure to MaPbI3, TiO2 is the most often utilized material for ETL. However, in the application of TiO2 to PSC, electron trapping and a wide energy gap become a drawback. The goal of this research is to improve the absorption performance of PSC employing ETL with Fe and Ta-doped TiO2 as well as the thickness of the material. The interaction between the electromagnetic waves of light and the solar cell structure was calculated using Finite-Difference Time-Domain (FDTD) simulations, which resulted in the absorption spectra. In comparison to pure TiO2, which absorbs only 79.5% of the incident light, Fe-TiO2 and Ta-TiO2 as ETL in solar cells have increased absorption spectra to 81.7% and 81.2%, respectively. Finally, we may conclude that the optimum ETL layer parameters are 0.32% Fe doping and a thickness of 100 nm.
{"title":"Absorption Performance of Doped TiO2-Based Perovskite Solar Cell using FDTD Simulation","authors":"B. Mulyanti, C. Wulandari, L. Hasanah, R. Pawinanto, I. Hamidah","doi":"10.1155/2022/9299279","DOIUrl":"https://doi.org/10.1155/2022/9299279","url":null,"abstract":"In the third generation of the solar cell era, significant trends in the development of perovskite solar cells (PSC) were observed. Exploring suitable materials for its wafer structure, such as perovskite and electron transport layers (ETL), were a major emphasis of high-performance PSC development. Because of its matching band structure to MaPbI3, TiO2 is the most often utilized material for ETL. However, in the application of TiO2 to PSC, electron trapping and a wide energy gap become a drawback. The goal of this research is to improve the absorption performance of PSC employing ETL with Fe and Ta-doped TiO2 as well as the thickness of the material. The interaction between the electromagnetic waves of light and the solar cell structure was calculated using Finite-Difference Time-Domain (FDTD) simulations, which resulted in the absorption spectra. In comparison to pure TiO2, which absorbs only 79.5% of the incident light, Fe-TiO2 and Ta-TiO2 as ETL in solar cells have increased absorption spectra to 81.7% and 81.2%, respectively. Finally, we may conclude that the optimum ETL layer parameters are 0.32% Fe doping and a thickness of 100 nm.","PeriodicalId":45541,"journal":{"name":"Modelling and Simulation in Engineering","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2022-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76624820","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}
Akinleye Sowunmi, V. Efeovbokhan, O. Orodu, O. Olabode, Alma Oputa
Polymers increase the macroscopic efficiency of the flooding process and increase crude oil recovery. The viscosity of 3 polymers xanthan, guar, and Arabic gums is measured in the lab and experimented with as EOR options. Xanthan and guar gum polymers are measured in weight percentages of 0.1, 0.2, 0.2, 0.4, 0.5, and 1, while gum Arabic is measured in 0.4, 0.5, 1, 5, 10, and 15 weight percentages. The viscosity experiments showed that gum Arabic had the lowest viscosity at 15% wt. Xanthan gum and guar gum had significantly higher viscosities than gum Arabic at corresponding weight percentages. At the same weight of 0.5%, xanthan, guar, and Arabic gums recorded a 63%, 53%, and 46% oil recovery, respectively. Due to the limitations surrounding core flooding experiments such as human error, equipment failure, and measurement of oil recoveries, it is necessary to validate the results obtained with other methods such as reservoir simulation. A reservoir model is built (using Eclipse) and incorporated with polymer and viscosity functions measured in the lab to validate results from the core flooding experiments. Peak oil recovery of 9.96%, 9.95%, and 9.90% was recorded for xanthan, guar, and Arabic gum, respectively, at a weight percentage of 0.5% weight. Also, increasing the wt% of injected polymers increases oil recovery. Results also indicate that the trend of oil recoveries during core flooding follows that observed during reservoir simulation and oil production increased as percentage weight increased for all the polymer cases considered.
{"title":"Comparative Study of Biopolymer Flooding: A Core Flooding and Numerical Reservoir Simulator Validation Analysis","authors":"Akinleye Sowunmi, V. Efeovbokhan, O. Orodu, O. Olabode, Alma Oputa","doi":"10.1155/2022/9420899","DOIUrl":"https://doi.org/10.1155/2022/9420899","url":null,"abstract":"Polymers increase the macroscopic efficiency of the flooding process and increase crude oil recovery. The viscosity of 3 polymers xanthan, guar, and Arabic gums is measured in the lab and experimented with as EOR options. Xanthan and guar gum polymers are measured in weight percentages of 0.1, 0.2, 0.2, 0.4, 0.5, and 1, while gum Arabic is measured in 0.4, 0.5, 1, 5, 10, and 15 weight percentages. The viscosity experiments showed that gum Arabic had the lowest viscosity at 15% wt. Xanthan gum and guar gum had significantly higher viscosities than gum Arabic at corresponding weight percentages. At the same weight of 0.5%, xanthan, guar, and Arabic gums recorded a 63%, 53%, and 46% oil recovery, respectively. Due to the limitations surrounding core flooding experiments such as human error, equipment failure, and measurement of oil recoveries, it is necessary to validate the results obtained with other methods such as reservoir simulation. A reservoir model is built (using Eclipse) and incorporated with polymer and viscosity functions measured in the lab to validate results from the core flooding experiments. Peak oil recovery of 9.96%, 9.95%, and 9.90% was recorded for xanthan, guar, and Arabic gum, respectively, at a weight percentage of 0.5% weight. Also, increasing the wt% of injected polymers increases oil recovery. Results also indicate that the trend of oil recoveries during core flooding follows that observed during reservoir simulation and oil production increased as percentage weight increased for all the polymer cases considered.","PeriodicalId":45541,"journal":{"name":"Modelling and Simulation in Engineering","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80842747","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}
Gun barrel bores are prone to ablative damage and stress concentration under high temperatures, pressures, and dynamic load impacts during bullet engraving, which may result in barrel failure. A dynamic stress analysis during bullet engraving is a prerequisite for barrel life analysis and design. Impact responses during bullet engraving were investigated in this study for rifled barrels with different cross-sectional profiles to improve the match between the dynamic performances of the gun barrel and bullet and effectively extend the barrel service life. First, feature suppression by expression based on a uniform parametrized template was used to perform parametric modeling of a gun barrel with rectangular, trapezoidal, multiarc, and multilateral-arc rifling profiles. Second, theoretical models were constructed considering different rifling structures: a model to calculate the chamber pressure, a model for heat transfer in the barrel during continuous firing, and a model to calculate the friction between a bullet and the barrel wall surface based on shear-slip friction theory. These models were integrated into a simulation, where the ABAQUS (ABAQUS. 6.14.1-4. 2014. DASSAULT SIMULIA.)/Explicit software was used to build a finite element model of the barrel dynamic stress under heat-force-friction coupling during bullet engraving. Finally, the dynamic response stresses were analyzed for bullet engraving into four barrels with different rifling profiles. All four types of barrels developed considerable stress at the junction between the forcing cone and the rifled bone under the same impact load. The stress values of the multiarc and multilateral-arc rifling were far below that for the rectangular and trapezoidal rifling. Thus, the barrels with multiarc and multilateral-arc rifling profiles had a higher impact resistance than the other two barrel types.
{"title":"Simulation Study on the Impact Response of Barrels with Different Rifling Profiles during Bullet Engraving","authors":"Zhifang Wei, Yang Cheng, Zhiwei Wang, Yanpeng Lin","doi":"10.1155/2022/6407452","DOIUrl":"https://doi.org/10.1155/2022/6407452","url":null,"abstract":"Gun barrel bores are prone to ablative damage and stress concentration under high temperatures, pressures, and dynamic load impacts during bullet engraving, which may result in barrel failure. A dynamic stress analysis during bullet engraving is a prerequisite for barrel life analysis and design. Impact responses during bullet engraving were investigated in this study for rifled barrels with different cross-sectional profiles to improve the match between the dynamic performances of the gun barrel and bullet and effectively extend the barrel service life. First, feature suppression by expression based on a uniform parametrized template was used to perform parametric modeling of a gun barrel with rectangular, trapezoidal, multiarc, and multilateral-arc rifling profiles. Second, theoretical models were constructed considering different rifling structures: a model to calculate the chamber pressure, a model for heat transfer in the barrel during continuous firing, and a model to calculate the friction between a bullet and the barrel wall surface based on shear-slip friction theory. These models were integrated into a simulation, where the ABAQUS (ABAQUS. 6.14.1-4. 2014. DASSAULT SIMULIA.)/Explicit software was used to build a finite element model of the barrel dynamic stress under heat-force-friction coupling during bullet engraving. Finally, the dynamic response stresses were analyzed for bullet engraving into four barrels with different rifling profiles. All four types of barrels developed considerable stress at the junction between the forcing cone and the rifled bone under the same impact load. The stress values of the multiarc and multilateral-arc rifling were far below that for the rectangular and trapezoidal rifling. Thus, the barrels with multiarc and multilateral-arc rifling profiles had a higher impact resistance than the other two barrel types.","PeriodicalId":45541,"journal":{"name":"Modelling and Simulation in Engineering","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2022-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77534104","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}
With machine learning techniques, wind turbine components can be detected and diagnosed in advance, so degeneration can be prevented. Automatic and autonomous learning is used to predict, detect, and diagnose electrical and mechanical failures in wind turbines. Based on the implementation of machine learning algorithms adapted to the different components and faults of wind turbines, this study evaluates different methodologies for monitoring, supervision, and fault diagnosis.
{"title":"Incorporating Machine Learning into Vibration Detection for Wind Turbines","authors":"J. Vives","doi":"10.1155/2022/6572298","DOIUrl":"https://doi.org/10.1155/2022/6572298","url":null,"abstract":"With machine learning techniques, wind turbine components can be detected and diagnosed in advance, so degeneration can be prevented. Automatic and autonomous learning is used to predict, detect, and diagnose electrical and mechanical failures in wind turbines. Based on the implementation of machine learning algorithms adapted to the different components and faults of wind turbines, this study evaluates different methodologies for monitoring, supervision, and fault diagnosis.","PeriodicalId":45541,"journal":{"name":"Modelling and Simulation in Engineering","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73298023","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}
Midibuses are medium-sized buses widely used for transportation purposes in Asia and Africa. However, most midibuses are locally built and indirectly regulated through inspecting the end product (finished bus) during licensing for the public transport business in Ethiopia. Due to lack of engineering analysis and testing, low stiffness and overweight of midibus were compromised. This research was aimed at analyzing and optimizing the midibus structure using the reinforcement and response surface optimization (RSO) method for pure bending and torsion loading cases. Results show that the maximum deformation occurred at the roof section of the original structure during both loading cases. Furthermore, the reinforcement design was found by replacing the cross section and layouts of structural members and adding reinforcements for the most suitable location of the original structure. Response surface optimization with the multiobjective genetic algorithm (MOGA) method in ANSYS DesignXplorer was performed on the reinforced structure to maximize the bending and torsional stiffness with reduced weight. The bending stiffness of the reinforced and optimized structure increased by 41.65% (1911.4 N/m) and 10.02% (651.7 N/m), respectively. In addition, the torsional rigidity or stiffness of the bus structure was improved by 12.56% (173.31 Nm/deg) via reinforcement design. Moreover, the torsional stiffness of the optimized (RSO) model was increased by 3.29% (51.07 Nm/deg). Reinforcement design was effectively reduced by 5.23% of the structure’s weight. Moreover, the RSO method has also decreased the weight of the reinforced structure by 2.64%.
{"title":"Structural Weight and Stiffness Optimization of a Midibus Using the Reinforcement and Response Surface Optimization (RSO) Method in Static Condition","authors":"Hailemichael Solomon Addisu, Ermias G Koricho","doi":"10.1155/2022/6812744","DOIUrl":"https://doi.org/10.1155/2022/6812744","url":null,"abstract":"Midibuses are medium-sized buses widely used for transportation purposes in Asia and Africa. However, most midibuses are locally built and indirectly regulated through inspecting the end product (finished bus) during licensing for the public transport business in Ethiopia. Due to lack of engineering analysis and testing, low stiffness and overweight of midibus were compromised. This research was aimed at analyzing and optimizing the midibus structure using the reinforcement and response surface optimization (RSO) method for pure bending and torsion loading cases. Results show that the maximum deformation occurred at the roof section of the original structure during both loading cases. Furthermore, the reinforcement design was found by replacing the cross section and layouts of structural members and adding reinforcements for the most suitable location of the original structure. Response surface optimization with the multiobjective genetic algorithm (MOGA) method in ANSYS DesignXplorer was performed on the reinforced structure to maximize the bending and torsional stiffness with reduced weight. The bending stiffness of the reinforced and optimized structure increased by 41.65% (1911.4 N/m) and 10.02% (651.7 N/m), respectively. In addition, the torsional rigidity or stiffness of the bus structure was improved by 12.56% (173.31 Nm/deg) via reinforcement design. Moreover, the torsional stiffness of the optimized (RSO) model was increased by 3.29% (51.07 Nm/deg). Reinforcement design was effectively reduced by 5.23% of the structure’s weight. Moreover, the RSO method has also decreased the weight of the reinforced structure by 2.64%.","PeriodicalId":45541,"journal":{"name":"Modelling and Simulation in Engineering","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84732399","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}
Khadija Ettahi, Meriem Chaanaoui, Vaudreuil Sébastien, S. Abderafi, T. Bounahmidi
As an eco-friendlier way to manage mining waste, the use of solar energy to dry phosphate sludge in a rotary dryer is envisioned. As a first step toward this end, a design study for a bench-scale rotary dryer for phosphate sludge is detailed, using a one-dimensional mathematical model developed for this task. Using the Engineering Equation Solver (EES) software, a steady-state transport phenomena model was developed that enables an estimation of the moisture and temperature profiles for both gas and product in the dryer. A sensitivity analysis evaluated the effects and influence of different geometric parameters and operating conditions on the product moisture profile. Parameters involved include the diameter of the dryer, the residence time of the product to dry, inlet air temperature, and inlet product humidity. This allowed for the selection of suitable design parameters for the operation of a phosphate sludge dryer with a 1.5 m length and an internal diameter of 11.5 cm. The inlet air temperature of the rotary dryer was set at 200°C to achieve a reduction of moisture content in the product from 30% to 7%. The model was validated through literature and experimental datasets, with an error averaging 0.22% and 1.52%, respectively.
{"title":"Modeling and Design of a Solar Rotary Dryer Bench Test for Phosphate Sludge","authors":"Khadija Ettahi, Meriem Chaanaoui, Vaudreuil Sébastien, S. Abderafi, T. Bounahmidi","doi":"10.1155/2022/5574242","DOIUrl":"https://doi.org/10.1155/2022/5574242","url":null,"abstract":"As an eco-friendlier way to manage mining waste, the use of solar energy to dry phosphate sludge in a rotary dryer is envisioned. As a first step toward this end, a design study for a bench-scale rotary dryer for phosphate sludge is detailed, using a one-dimensional mathematical model developed for this task. Using the Engineering Equation Solver (EES) software, a steady-state transport phenomena model was developed that enables an estimation of the moisture and temperature profiles for both gas and product in the dryer. A sensitivity analysis evaluated the effects and influence of different geometric parameters and operating conditions on the product moisture profile. Parameters involved include the diameter of the dryer, the residence time of the product to dry, inlet air temperature, and inlet product humidity. This allowed for the selection of suitable design parameters for the operation of a phosphate sludge dryer with a 1.5 m length and an internal diameter of 11.5 cm. The inlet air temperature of the rotary dryer was set at 200°C to achieve a reduction of moisture content in the product from 30% to 7%. The model was validated through literature and experimental datasets, with an error averaging 0.22% and 1.52%, respectively.","PeriodicalId":45541,"journal":{"name":"Modelling and Simulation in Engineering","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79215127","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}
The use of externally bonded fiber-reinforced polymer (EB-FRP) composites for shear strengthening of reinforced concrete (RC) beams presents many challenges given the complex phenomena that come into play. Premature bond failure, the behavior of the interface layer between FRP composites and the concrete substrate, the complex and brittle nature of shear cracks, and the adverse interaction between internal steel stirrups and EB-FRP are some of these phenomena. Compared to experimental investigations, the finite element (FE) technique provides an accurate, cost-effective, and less time-consuming tool, enabling practicing engineers to perform efficient, accurate nonlinear and dynamic analysis as well as parametric studies on RC beams strengthened with EB-FRP. Since 1996, many numerical studies have been carried out on the response of RC beams strengthened using FRP. However, only a few have been related to RC beams strengthened in shear using EB-FRP composites. In addition, the analytical models that have been reported so far have failed to address and encompass all the factors affecting the contribution of EB-FRP to shear resistance because they have mostly been based on experimental studies with limited scopes. The aim of this paper is to build an extensive database of all the studies using finite element analysis (FEA) carried out on RC beams strengthened in shear with EB-FRP composites and to evaluate their strengths and weaknesses through various studied parameters.
{"title":"Shear Strengthening of RC Beams with FRP Composites: Database of FE Simulations and Analysis of Studied Parameters","authors":"A. Abbasi, O. Chaallal, Georges El-Saikaly","doi":"10.1155/2022/7725025","DOIUrl":"https://doi.org/10.1155/2022/7725025","url":null,"abstract":"The use of externally bonded fiber-reinforced polymer (EB-FRP) composites for shear strengthening of reinforced concrete (RC) beams presents many challenges given the complex phenomena that come into play. Premature bond failure, the behavior of the interface layer between FRP composites and the concrete substrate, the complex and brittle nature of shear cracks, and the adverse interaction between internal steel stirrups and EB-FRP are some of these phenomena. Compared to experimental investigations, the finite element (FE) technique provides an accurate, cost-effective, and less time-consuming tool, enabling practicing engineers to perform efficient, accurate nonlinear and dynamic analysis as well as parametric studies on RC beams strengthened with EB-FRP. Since 1996, many numerical studies have been carried out on the response of RC beams strengthened using FRP. However, only a few have been related to RC beams strengthened in shear using EB-FRP composites. In addition, the analytical models that have been reported so far have failed to address and encompass all the factors affecting the contribution of EB-FRP to shear resistance because they have mostly been based on experimental studies with limited scopes. The aim of this paper is to build an extensive database of all the studies using finite element analysis (FEA) carried out on RC beams strengthened in shear with EB-FRP composites and to evaluate their strengths and weaknesses through various studied parameters.","PeriodicalId":45541,"journal":{"name":"Modelling and Simulation in Engineering","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80983175","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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