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Spatio-temporal pattern formation mechanism of an epidemic-like information propagation model with diffusion behavior
IF 6 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-01-01 DOI: 10.1016/j.asej.2024.103244
Yuxuan Pan , Shuling Shen , Linhe Zhu
In order to effectively warn against and control the spread of online rumors, it is essential to research the dynamic process of rumor propagation. This paper presents a reaction-diffusion rumor propagation model with a time delay. We analyze the sufficient conditions for the existence of rumor propagation equilibrium points on continuous and complex networks, as well as the conditions for generating Turing bifurcation due to diffusion. Additionally, we derive the amplitude equation of the model to identify the parameter values corresponding to various pattern types. We validate the derivation of the amplitude equation through a series of numerical simulations, providing a robust method for accurately determining the state of rumor propagation. Our study investigates the effect of cross-diffusion coefficients on rumor propagation on the continuous space and finds that these coefficients suppress rumor propagation. Consequently, fostering connections among the public can enhance the dissemination of accurate information and mitigate rumor diffusion. Furthermore, we assess the impact of network node quantity on rumor dissemination on complex networks. Although the number of nodes does not directly influence rumor propagation, a higher node count facilitates a more precise evaluation of rumor propagation status. There is undoubtedly that this is conducive to controlling rumors for managers.
{"title":"Spatio-temporal pattern formation mechanism of an epidemic-like information propagation model with diffusion behavior","authors":"Yuxuan Pan ,&nbsp;Shuling Shen ,&nbsp;Linhe Zhu","doi":"10.1016/j.asej.2024.103244","DOIUrl":"10.1016/j.asej.2024.103244","url":null,"abstract":"<div><div>In order to effectively warn against and control the spread of online rumors, it is essential to research the dynamic process of rumor propagation. This paper presents a reaction-diffusion rumor propagation model with a time delay. We analyze the sufficient conditions for the existence of rumor propagation equilibrium points on continuous and complex networks, as well as the conditions for generating Turing bifurcation due to diffusion. Additionally, we derive the amplitude equation of the model to identify the parameter values corresponding to various pattern types. We validate the derivation of the amplitude equation through a series of numerical simulations, providing a robust method for accurately determining the state of rumor propagation. Our study investigates the effect of cross-diffusion coefficients on rumor propagation on the continuous space and finds that these coefficients suppress rumor propagation. Consequently, fostering connections among the public can enhance the dissemination of accurate information and mitigate rumor diffusion. Furthermore, we assess the impact of network node quantity on rumor dissemination on complex networks. Although the number of nodes does not directly influence rumor propagation, a higher node count facilitates a more precise evaluation of rumor propagation status. There is undoubtedly that this is conducive to controlling rumors for managers.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 1","pages":"Article 103244"},"PeriodicalIF":6.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143173946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Improvements in the design of brine diffusers in shallow waters: A numerical study applied to the Canary Islands
IF 6 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-01-01 DOI: 10.1016/j.asej.2024.103225
Adrián Gil Trujillo, J. Jaime Sadhwani Alonso
The desalination of seawater is a critical process for ensuring a dependable source of potable water, particularly in arid regions such as the Canary Islands. However, the disposal of brine presents considerable environmental and economic challenges. This study presents a comprehensive numerical analysis of brine diffuser design in shallow waters, with a particular focus on desalination plants in the Canary Islands. The Brine-Jet model is employed in order to evaluate the effects of key design variables, including nozzle height, discharge velocity and inclination angle, under a variety of velocity scenarios. This study presents a comprehensive analysis that, for the first time, identifies the critical importance of high nozzle height as a variable, particularly in low discharge rate scenarios. The findings of this study illustrate that even in shallow waters, elevated diffusers can confer significant benefits. Furthermore, a graphical design tool was developed to facilitate the clear visualisation of optimal diffuser configurations based on critical parameters such as dilution and plume height. The tool provides practical guidelines for improving diffuser designs, thereby ensuring more effective mitigation of the environmental impacts of brine discharge in coastal areas. Furthermore, the results emphasise the necessity for adaptable infrastructure to accommodate seasonal variations in water demand and increasingly stringent environmental regulations. This research offers a solution for optimising brine disposal, thus contributing to the development of sustainable and efficient desalination outfalls in similar marine environments.
{"title":"Improvements in the design of brine diffusers in shallow waters: A numerical study applied to the Canary Islands","authors":"Adrián Gil Trujillo,&nbsp;J. Jaime Sadhwani Alonso","doi":"10.1016/j.asej.2024.103225","DOIUrl":"10.1016/j.asej.2024.103225","url":null,"abstract":"<div><div>The desalination of seawater is a critical process for ensuring a dependable source of potable water, particularly in arid regions such as the Canary Islands. However, the disposal of brine presents considerable environmental and economic challenges. This study presents a comprehensive numerical analysis of brine diffuser design in shallow waters, with a particular focus on desalination plants in the Canary Islands. The Brine-Jet model is employed in order to evaluate the effects of key design variables, including nozzle height, discharge velocity and inclination angle, under a variety of velocity scenarios. This study presents a comprehensive analysis that, for the first time, identifies the critical importance of high nozzle height as a variable, particularly in low discharge rate scenarios. The findings of this study illustrate that even in shallow waters, elevated diffusers can confer significant benefits. Furthermore, a graphical design tool was developed to facilitate the clear visualisation of optimal diffuser configurations based on critical parameters such as dilution and plume height. The tool provides practical guidelines for improving diffuser designs, thereby ensuring more effective mitigation of the environmental impacts of brine discharge in coastal areas. Furthermore, the results emphasise the necessity for adaptable infrastructure to accommodate seasonal variations in water demand and increasingly stringent environmental regulations. This research offers a solution for optimising brine disposal, thus contributing to the development of sustainable and efficient desalination outfalls in similar marine environments.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 1","pages":"Article 103225"},"PeriodicalIF":6.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143174375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Enhancing collapse performance of vulnerable RC frames through steel Bracing: A FEMA P695 methodology study
IF 6 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-01-01 DOI: 10.1016/j.asej.2024.103208
Ali Sadeghpour , Giray Ozay
Seismic assessments and statistical modeling of desired building responses have gained prominence in research. The FEMA P695 methodology facilitates evaluating structural safety based on collapse probabilities. An investigation into the performance of RC buildings designed according to the previous Iranian seismic code (Standard No. 2800–99) reveals a susceptibility to significant damage in far-field earthquakes. This study examines 1-, 3-, and 6-story RC frames, introducing concentric steel braces in various configurations as a cost-effective reinforcement method. Sixty archetypes undergo comprehensive analysis, including 15,800 nonlinear dynamic analyses to calculate collapse probabilities under total uncertainties. Insights into retrofitting vulnerable archetypes and seismic design parameters are obtained, leading to practical solutions and enhanced safety for old-designed building structures in seismic events.
{"title":"Enhancing collapse performance of vulnerable RC frames through steel Bracing: A FEMA P695 methodology study","authors":"Ali Sadeghpour ,&nbsp;Giray Ozay","doi":"10.1016/j.asej.2024.103208","DOIUrl":"10.1016/j.asej.2024.103208","url":null,"abstract":"<div><div>Seismic assessments and statistical modeling of desired building responses have gained prominence in research. The FEMA P695 methodology facilitates evaluating structural safety based on collapse probabilities. An investigation into the performance of RC buildings designed according to the previous Iranian seismic code (Standard No. 2800–99) reveals a susceptibility to significant damage in far-field earthquakes. This study examines 1-, 3-, and 6-story RC frames, introducing concentric steel braces in various configurations as a cost-effective reinforcement method. Sixty archetypes undergo comprehensive analysis, including 15,800 nonlinear dynamic analyses to calculate collapse probabilities under total uncertainties. Insights into retrofitting vulnerable archetypes and seismic design parameters are obtained, leading to practical solutions and enhanced safety for old-designed building structures in seismic events.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 1","pages":"Article 103208"},"PeriodicalIF":6.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143174376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Discrimination of high impedance fault in microgrid power network using semi-supervised machine learning algorithm
IF 6 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-01-01 DOI: 10.1016/j.asej.2024.103187
Arangarajan Vinayagam , S.T. Suganthi , C.B. Venkatramanan , Ayoob Alateeq , Abdullah Alassaf , Nur Fadilah Ab Aziz , Mohd Helmi Mansor , Saad Mekhilef
This work proposes a semi-supervised classification approach for discriminating high-impedance (HI) faults and other transients in a photovoltaic (PV) interconnected microgrid (MG) network. The suggested classifier combines unsupervised K-means clustering with the supervised multi-layer perceptron neural network algorithm. The K-means clustering technique is utilized in the first phase to detect and remove irrelevant instances from multiple events in the data set. To obtain the final predictions of targeted labels, clustered cases from the first phase are utilized to learn the multi-layer perceptron neural network classifier in the next phase. The suggested method outperforms stand-alone classifiers (K-means clustering and multi-layer perceptron) by providing enhanced accuracy and success rate of discriminating HI fault under standard test conditions and weather intermittency of PV. Furthermore, the results of the performance study clearly show that the suggested model is more resilient and offers superior performance than the stand-alone classifiers under the standard test condition and uncertainty of PV in MG networks.
{"title":"Discrimination of high impedance fault in microgrid power network using semi-supervised machine learning algorithm","authors":"Arangarajan Vinayagam ,&nbsp;S.T. Suganthi ,&nbsp;C.B. Venkatramanan ,&nbsp;Ayoob Alateeq ,&nbsp;Abdullah Alassaf ,&nbsp;Nur Fadilah Ab Aziz ,&nbsp;Mohd Helmi Mansor ,&nbsp;Saad Mekhilef","doi":"10.1016/j.asej.2024.103187","DOIUrl":"10.1016/j.asej.2024.103187","url":null,"abstract":"<div><div>This work proposes a semi-supervised classification approach for discriminating high-impedance (HI) faults and other transients in a photovoltaic (PV) interconnected microgrid (MG) network. The suggested classifier combines unsupervised K-means clustering with the supervised multi-layer perceptron neural network algorithm. The K-means clustering technique is utilized in the first phase to detect and remove irrelevant instances from multiple events in the data set. To obtain the final predictions of targeted labels, clustered cases from the first phase are utilized to learn the multi-layer perceptron neural network classifier in the next phase. The suggested method outperforms stand-alone classifiers (K-means clustering and multi-layer perceptron) by providing enhanced accuracy and success rate of discriminating HI fault under standard test conditions and weather intermittency of PV. Furthermore, the results of the performance study clearly show that the suggested model is more resilient and offers superior performance than the stand-alone classifiers under the standard test condition and uncertainty of PV in MG networks.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 1","pages":"Article 103187"},"PeriodicalIF":6.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143174417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multi mode coordinated control algorithm for DC near-field photovoltaic based on adaptive mutation particle swarm optimization
IF 6 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-01-01 DOI: 10.1016/j.asej.2024.103168
Hua Weng, Weijun Zhu, Jun Wu
Excessive photovoltaic power in a distributed photovoltaic system may cause problems such as overvoltage and reverse power flow in the distribution network, and the safe and stable operation of distribution networks faces potential challenges or risks. To ensure stable operation,this article proposes an innovative multi-mode coordinated control strategy for DC near-field photovoltaic systems that integrates adaptive mutation particle swarm optimization technology to achieve more efficient control performance. The operation of distributed photovoltaic system is divided into five modes: single-machine reactive power regulation, multi-machine reactive power coordination, active power reduction mode in multi machine systems, Existing power recovery models and reactive power recovery mode; So the mathematical model of the inverter main controller is constructed, using adaptive mutation particle swarm optimization algorithm to solve the model, in order to improve solving efficiency and accuracy Committed to overcoming the limitations of slow convergence speed and susceptibility to local optima in particle swarm optimization algorithms, in order to optimize algorithm performance, when optimizing the particle swarm optimization algorithm, synchronously tuning the learning factor and inertia weight parameters is aimed at accelerating the convergence process and improving the accuracy of the algorithm. By introducing a mutation mechanism, the search domain of the particles is expanded, thereby enhancing the global optimization efficiency of the algorithm. The experimental data shows that the optimized control parameters of the algorithm significantly enhance the dynamic response characteristics of the system, and its convergence speed is faster and its steady-state accuracy is higher. After 60 iterations, the control accuracy reached 98.15%, and the feature value near the virtual axis of the system was optimized from −1328 to −1.647. The fluctuation of each electric quantity of the system was smaller than that of the original parameter, the stability could be reached faster after troubleshooting, and the coordinated control effect is better.
{"title":"Multi mode coordinated control algorithm for DC near-field photovoltaic based on adaptive mutation particle swarm optimization","authors":"Hua Weng,&nbsp;Weijun Zhu,&nbsp;Jun Wu","doi":"10.1016/j.asej.2024.103168","DOIUrl":"10.1016/j.asej.2024.103168","url":null,"abstract":"<div><div>Excessive photovoltaic power in a distributed photovoltaic system may cause problems such as overvoltage and reverse power flow in the distribution network, and the safe and stable operation of distribution networks faces potential challenges or risks. To ensure stable operation,this article proposes an innovative multi-mode coordinated control strategy for DC near-field photovoltaic systems that integrates adaptive mutation particle swarm optimization technology to achieve more efficient control performance. The operation of distributed photovoltaic system is divided into five modes: single-machine reactive power regulation, multi-machine reactive power coordination, active power reduction mode in multi machine systems, Existing power recovery models and reactive power recovery mode; So the mathematical model of the inverter main controller is constructed, using adaptive mutation particle swarm optimization algorithm to solve the model, in order to improve solving efficiency and accuracy Committed to overcoming the limitations of slow convergence speed and susceptibility to local optima in particle swarm optimization algorithms, in order to optimize algorithm performance, when optimizing the particle swarm optimization algorithm, synchronously tuning the learning factor and inertia weight parameters is aimed at accelerating the convergence process and improving the accuracy of the algorithm. By introducing a mutation mechanism, the search domain of the particles is expanded, thereby enhancing the global optimization efficiency of the algorithm. The experimental data shows that the optimized control parameters of the algorithm significantly enhance the dynamic response characteristics of the system, and its convergence speed is faster and its steady-state accuracy is higher. After 60 iterations, the control accuracy reached 98.15%, and the feature value near the virtual axis of the system was optimized from −1328 to −1.647. The fluctuation of each electric quantity of the system was smaller than that of the original parameter, the stability could be reached faster after troubleshooting, and the coordinated control effect is better.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 1","pages":"Article 103168"},"PeriodicalIF":6.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143174843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
From BIM to computational BIM: A systematic review of visual programming application in building research
IF 6 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-01-01 DOI: 10.1016/j.asej.2024.103173
Taki Eddine Seghier , Chavanont Khosakitchalert , Ziwen Liu , Chukwuka Christian Ohueri , Yaik-Wah Lim , Ahmad Fahmi Bin Zainazlan
The architecture, engineering, construction, and operation (AECO) industry has embraced the combination of building information modelling (BIM) and computational algorithms to advance digital transformations. Computational BIM has enabled the development and testing of various BIM-based solutions for the building industry. This study conducted a systematic review of the application of computational BIM through visual programming (VP) in building research. The study employed a hybrid approach of bibliometrics and content analyses using seventy-nine publications filtered from Scopus and Web of Science databases. The bibliometric analysis identified publication frequency trends, journal distributions, country distributions, eminent authors, co-authorship networks, and keyword co-occurrence networks. The content analysis identified six key research themes and four major methodological roles of computational BIM in building research. A research framework is proposed to summarize and articulate the state of the art of computational BIM application in building research, research gaps, and future research directions.
{"title":"From BIM to computational BIM: A systematic review of visual programming application in building research","authors":"Taki Eddine Seghier ,&nbsp;Chavanont Khosakitchalert ,&nbsp;Ziwen Liu ,&nbsp;Chukwuka Christian Ohueri ,&nbsp;Yaik-Wah Lim ,&nbsp;Ahmad Fahmi Bin Zainazlan","doi":"10.1016/j.asej.2024.103173","DOIUrl":"10.1016/j.asej.2024.103173","url":null,"abstract":"<div><div>The architecture, engineering, construction, and operation (AECO) industry has embraced the combination of building information modelling (BIM) and computational algorithms to advance digital transformations. Computational BIM has enabled the development and testing of various BIM-based solutions for the building industry. This study conducted a systematic review of the application of computational BIM through visual programming (VP) in building research. The study employed a hybrid approach of bibliometrics and content analyses using seventy-nine publications filtered from Scopus and Web of Science databases. The bibliometric analysis identified publication frequency trends, journal distributions, country distributions, eminent authors, co-authorship networks, and keyword co-occurrence networks. The content analysis identified six key research themes and four major methodological roles of computational BIM in building research. A research framework is proposed to summarize and articulate the state of the art of computational BIM application in building research, research gaps, and future research directions.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 1","pages":"Article 103173"},"PeriodicalIF":6.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143174848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Exploring the non-classical symmetry, bifurcation with sensitivity analysis of a (3 + 1)-dimensional nonlinear evolution equation
IF 6 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-01-01 DOI: 10.1016/j.asej.2024.103176
Ibtehal Alazman , Manvendra Narayan Mishra , Badr Saad T. Alkahtani , Mati ur Rahman
In this research, we systematically examined the special solutions of the (3+1)-dimensional evolution equation corresponding to nonclassical symmetries. By employing the identified symmetries, we developed invariant solutions that reveal the underlying structure of the equation and its solutions. Additionally, bifurcation analysis was conducted to understand the qualitative shifts in the system's behavior. We investigated sensitivity to initial conditions and the presence of unusual attractors to better comprehend the system's chaotic dynamics. While invariant solutions provide exact representations of certain dynamical states, bifurcation and chaos analyses offer insights into the system's intrinsic transitions and complexity. This study not only enhances the theoretical understanding of high-dimensional nonlinear evolution equations but also provides a foundation for future applications in various fields where complex processes are modeled by such equations.
{"title":"Exploring the non-classical symmetry, bifurcation with sensitivity analysis of a (3 + 1)-dimensional nonlinear evolution equation","authors":"Ibtehal Alazman ,&nbsp;Manvendra Narayan Mishra ,&nbsp;Badr Saad T. Alkahtani ,&nbsp;Mati ur Rahman","doi":"10.1016/j.asej.2024.103176","DOIUrl":"10.1016/j.asej.2024.103176","url":null,"abstract":"<div><div>In this research, we systematically examined the special solutions of the <span><math><mo>(</mo><mn>3</mn><mo>+</mo><mn>1</mn><mo>)</mo></math></span>-dimensional evolution equation corresponding to nonclassical symmetries. By employing the identified symmetries, we developed invariant solutions that reveal the underlying structure of the equation and its solutions. Additionally, bifurcation analysis was conducted to understand the qualitative shifts in the system's behavior. We investigated sensitivity to initial conditions and the presence of unusual attractors to better comprehend the system's chaotic dynamics. While invariant solutions provide exact representations of certain dynamical states, bifurcation and chaos analyses offer insights into the system's intrinsic transitions and complexity. This study not only enhances the theoretical understanding of high-dimensional nonlinear evolution equations but also provides a foundation for future applications in various fields where complex processes are modeled by such equations.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 1","pages":"Article 103176"},"PeriodicalIF":6.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143173965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Design and development of hexagonal-shaped copper and liquid metamaterial-loaded superstrate patch antenna for 5G, WLAN, tracking and detection applications
IF 6 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-01-01 DOI: 10.1016/j.asej.2024.103236
Meshari Alsharari , Raj Agravat , Sunil Lavadiya , Ammar Armghan , Khaled Aliqab , Shobhit K. Patel
The novel T-shaped patch antenna with the superstrate approach is planned in the manuscript. The FR-4 dielectric material is used as a superstrate and substrate. The hexagonal-shaped rings are loaded in the superstrate to enable the metamaterial property in the structure. The copper-loaded metamaterial and liquid Sea water-loaded metamaterial are used in the planned antenna which increases the gain and BW of the planned antenna design. Different parametric analyses like the varying height of the superstrate and changing spacing among SRR rings are considered to achieve an optimum response. The analysis concerning S11, gain, and directivity is carried out among simple patch antenna, copper ring loaded structure and seawater loaded structure. The frequency span of 1 GHz to 12 GHz is considered for analysis. The planned designs provide a minimum S11 of −49.16 dB in CMRNGS, a Gain of 6.92 dB in SMRNGS, and a highest directivity of 8.56 dB for 8.83 GHz resonance. The planned design is compared with other papers to check the improvement of this planned antenna design. The Simulated and assessed responses were also compared and analysed. The planned design is suitable for 5G, WLAN, tracking and detection applications.
{"title":"Design and development of hexagonal-shaped copper and liquid metamaterial-loaded superstrate patch antenna for 5G, WLAN, tracking and detection applications","authors":"Meshari Alsharari ,&nbsp;Raj Agravat ,&nbsp;Sunil Lavadiya ,&nbsp;Ammar Armghan ,&nbsp;Khaled Aliqab ,&nbsp;Shobhit K. Patel","doi":"10.1016/j.asej.2024.103236","DOIUrl":"10.1016/j.asej.2024.103236","url":null,"abstract":"<div><div>The novel T-shaped patch antenna with the superstrate approach is planned in the manuscript. The FR-4 dielectric material is used as a superstrate and substrate. The hexagonal-shaped rings are loaded in the superstrate to enable the metamaterial property in the structure. The copper-loaded metamaterial and liquid Sea water-loaded metamaterial are used in the planned antenna which increases the gain and BW of the planned antenna design. Different parametric analyses like the varying height of the superstrate and changing spacing among SRR rings are considered to achieve an optimum response. The analysis concerning S<sub>11</sub>, gain, and directivity is carried out among simple patch antenna, copper ring loaded structure and seawater loaded structure. The frequency span of 1 GHz to 12 GHz is considered for analysis. The planned designs provide a minimum S<sub>11</sub> of −49.16 dB in CMRNGS, a Gain of 6.92 dB in SMRNGS, and a highest directivity of 8.56 dB for 8.83 GHz resonance. The planned design is compared with other papers to check the improvement of this planned antenna design. The Simulated and assessed responses were also compared and analysed. The planned design is suitable for 5G, WLAN, tracking and detection applications.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 1","pages":"Article 103236"},"PeriodicalIF":6.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143175377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
FOX-TSA: Navigating Complex Search Spaces and Superior Performance in Benchmark and Real-World Optimization Problems
IF 6 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-01-01 DOI: 10.1016/j.asej.2024.103185
Sirwan A. Aula , Tarik A. Rashid
In the dynamic field of optimisation, hybrid algorithms have garnered significant attention for their ability to combine the strengths of multiple methods. This study presents the Hybrid FOX-TSA algorithm, a novel optimisation technique that merges the exploratory capabilities of the FOX algorithm with the exploitative power of the TSA algorithm. The primary objective is to evaluate the efficiency, robustness, and scalability of this hybrid approach across multiple CEC benchmark suites, including CEC2014, CEC2017, CEC2019, CEC2020, and CEC2022, alongside real-world engineering design problems. The results demonstrate that the Hybrid FOX-TSA algorithm consistently outperforms established optimisation techniques, such as PSO, GWO, and the original FOX and TSA algorithms, in terms of convergence speed, solution quality, and computational efficiency. Notably, the hybrid approach avoids premature convergence and navigating complex search spaces, producing optimal or near-optimal solutions in various test cases. For instance, the algorithm achieved superior performance in minimizing design costs in the Pressure Vessel and Welded Beam Design problems, as well as effectively handling the complex landscapes of the CEC2020 and CEC2022 benchmarks. These results affirm the Hybrid FOX-TSA algorithm as a powerful and adaptable tool for tackling complex optimization problems, particularly in high-dimensional and multimodal landscapes. The integration of statistical analyses, such as t-tests and Wilcoxon signed-rank tests, further supports the statistical significance of its performance improvements.
{"title":"FOX-TSA: Navigating Complex Search Spaces and Superior Performance in Benchmark and Real-World Optimization Problems","authors":"Sirwan A. Aula ,&nbsp;Tarik A. Rashid","doi":"10.1016/j.asej.2024.103185","DOIUrl":"10.1016/j.asej.2024.103185","url":null,"abstract":"<div><div>In the dynamic field of optimisation, hybrid algorithms have garnered significant attention for their ability to combine the strengths of multiple methods. This study presents the Hybrid FOX-TSA algorithm, a novel optimisation technique that merges the exploratory capabilities of the FOX algorithm with the exploitative power of the TSA algorithm. The primary objective is to evaluate the efficiency, robustness, and scalability of this hybrid approach across multiple CEC benchmark suites, including CEC2014, CEC2017, CEC2019, CEC2020, and CEC2022, alongside real-world engineering design problems. The results demonstrate that the Hybrid FOX-TSA algorithm consistently outperforms established optimisation techniques, such as PSO, GWO, and the original FOX and TSA algorithms, in terms of convergence speed, solution quality, and computational efficiency. Notably, the hybrid approach avoids premature convergence and navigating complex search spaces, producing optimal or near-optimal solutions in various test cases. For instance, the algorithm achieved superior performance in minimizing design costs in the Pressure Vessel and Welded Beam Design problems, as well as effectively handling the complex landscapes of the CEC2020 and CEC2022 benchmarks. These results affirm the Hybrid FOX-TSA algorithm as a powerful and adaptable tool for tackling complex optimization problems, particularly in high-dimensional and multimodal landscapes. The integration of statistical analyses, such as t-tests and Wilcoxon signed-rank tests, further supports the statistical significance of its performance improvements.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 1","pages":"Article 103185"},"PeriodicalIF":6.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143173947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A state-of-the-art review on the modeling and probabilistic approaches to analysis of power systems integrated with distributed energy resources
IF 6 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-01-01 DOI: 10.1016/j.asej.2024.103198
Paul Wanjoli , Nabil H. Abbasy , Mohamed M. Zakaria Moustafa
Modern power systems are shifting toward decarbonization and incorporation of distributed energy resources (DERs) to replace fossil fuel generators. Although promising, DERs introduce uncertainty because of their intermittent nature. This study provides a comprehensive survey of current approaches for modeling system uncertainties and methods of analysis, particularly in the context of static voltage stability studies within modern power systems. Emphasis is placed on evaluating various models applied to different system random variables (RVs), focusing on their suitability for those particular RVs. Additionally, the study examines the characteristics and frameworks of prominent probabilistic methods (PM), evaluates their efficacy, and discusses static voltage stability analysis approaches, emphasizing solution structures and appropriate applications. It concludes by thoroughly reviewing both numerical and analytical PM methods and offering insights into their strengths and limitations. The provided comprehensive survey reveals that, considering system uncertainties, voltage stability studies have gained the most share, followed by small-signal stability studies, whereas the frequency stability studies have gained the least share.
{"title":"A state-of-the-art review on the modeling and probabilistic approaches to analysis of power systems integrated with distributed energy resources","authors":"Paul Wanjoli ,&nbsp;Nabil H. Abbasy ,&nbsp;Mohamed M. Zakaria Moustafa","doi":"10.1016/j.asej.2024.103198","DOIUrl":"10.1016/j.asej.2024.103198","url":null,"abstract":"<div><div>Modern power systems are shifting toward decarbonization and incorporation of distributed energy resources (DERs) to replace fossil fuel generators. Although promising, DERs introduce uncertainty because of their intermittent nature. This study provides a comprehensive survey of current approaches for modeling system uncertainties and methods of analysis, particularly in the context of static voltage stability studies within modern power systems. Emphasis is placed on evaluating various models applied to different system random variables (RVs), focusing on their suitability for those particular RVs. Additionally, the study examines the characteristics and frameworks of prominent probabilistic methods (PM), evaluates their efficacy, and discusses static voltage stability analysis approaches, emphasizing solution structures and appropriate applications. It concludes by thoroughly reviewing both numerical and analytical PM methods and offering insights into their strengths and limitations. The provided comprehensive survey reveals that, considering system uncertainties, voltage stability studies have gained the most share, followed by small-signal stability studies, whereas the frequency stability studies have gained the least share.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 1","pages":"Article 103198"},"PeriodicalIF":6.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143174415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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Ain Shams Engineering Journal
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