Pub Date : 2024-11-01DOI: 10.1016/j.asej.2024.102997
Rohit Salgotra , Nitin Mittal , Abdulaziz S. Almazyad , Ali Wagdy Mohamed
This paper presents a study focused on enhancing the effectiveness of cuckoo search (CS). The goal is to improve its performance in avoiding local optima, improve the exploration and exploit potentially new solutions. To achieve this, we incorporate three additional algorithms – grey wolf optimizer (GWO), red panda optimization (RPO), and naked mole rat algorithm (NMRA) – into the basic CS framework to strengthen its exploration and exploitation capabilities. The resulting hybrid algorithm is named RGN, standing for red panda, grey wolf and naked mole-rat. To make the parameters of the RGN algorithm adaptable, six new mutation operators and inertia weights are added to the proposed RGN algorithm. The proposed algorithm is tested on CEC 2005, CEC 2014, and CEC 2022 benchmark problems to prove its effectiveness. Friedman test and Wilcoxon rank-sum tests, are done to analyse the significance of the proposed RGN algorithm statistically. It has been found that the proposed RGN is significantly better with respect to LSHADE-SPACMA, SaDE, SHADE, CMA-ES, extended GWO, hierarchical learning particle swarm optimization (FHPSO), Kepler optimization algorithm (KOA), improved chef-based optimization algorithm (CBOADP), improved symbiotic herding optimization (IMEHO), blended-biogeography based optimization (B-BBO), and Laplacian BBO (LX-BBO), among others. Application of the proposed algorithm RGN for Multilevel Image Thresholding with Type II Fuzzy Sets, shows that it is better than other algorithms over various performance matrices including mean squared error (MSE), peak signal-to-noise ratio (PSNR), and structural similitude index (SSIM). Experimentally and statistically, it has been proved that the proposed RGN algorithm can be considered as a better alternative for optimization research.
{"title":"RGN: A Triple Hybrid Algorithm for Multi-level Image Segmentation with Type II Fuzzy Sets","authors":"Rohit Salgotra , Nitin Mittal , Abdulaziz S. Almazyad , Ali Wagdy Mohamed","doi":"10.1016/j.asej.2024.102997","DOIUrl":"10.1016/j.asej.2024.102997","url":null,"abstract":"<div><div>This paper presents a study focused on enhancing the effectiveness of cuckoo search (CS). The goal is to improve its performance in avoiding local optima, improve the exploration and exploit potentially new solutions. To achieve this, we incorporate three additional algorithms – grey wolf optimizer (GWO), red panda optimization (RPO), and naked mole rat algorithm (NMRA) – into the basic CS framework to strengthen its exploration and exploitation capabilities. The resulting hybrid algorithm is named RGN, standing for red panda, grey wolf and naked mole-rat. To make the parameters of the RGN algorithm adaptable, six new mutation operators and inertia weights are added to the proposed RGN algorithm. The proposed algorithm is tested on CEC 2005, CEC 2014, and CEC 2022 benchmark problems to prove its effectiveness. Friedman test and Wilcoxon rank-sum tests, are done to analyse the significance of the proposed RGN algorithm statistically. It has been found that the proposed RGN is significantly better with respect to LSHADE-SPACMA, SaDE, SHADE, CMA-ES, extended GWO, hierarchical learning particle swarm optimization (FHPSO), Kepler optimization algorithm (KOA), improved chef-based optimization algorithm (CBOADP), improved symbiotic herding optimization (IMEHO), blended-biogeography based optimization (B-BBO), and Laplacian BBO (LX-BBO), among others. Application of the proposed algorithm RGN for Multilevel Image Thresholding with Type II Fuzzy Sets, shows that it is better than other algorithms over various performance matrices including mean squared error (MSE), peak signal-to-noise ratio (PSNR), and structural similitude index (SSIM). Experimentally and statistically, it has been proved that the proposed RGN algorithm can be considered as a better alternative for optimization research.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"15 11","pages":"Article 102997"},"PeriodicalIF":6.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652293","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}
Pub Date : 2024-11-01DOI: 10.1016/j.asej.2022.102085
Yu Xuan rui
Fiber reinforced plastics (FRP) are often used to enhance the capacity of the reinforced concrete beam (RC beam). However, the debonding failure is often observed due to the effect of the complex environment and the random loads. The debonding failure includes three types: plate end interfacial debonding (PE debonding), critical diagonal crack-induced debonding (CDC debonding), and intermediate flexural crack-induced interfacial debonding (IC debonding). In order to investigate the IC debonding strain of RC beam strength by FRP, this paper proposed some data-driven models to explore the IC debonding strain, based on the machine learning approaches The concrete strength, shear span proportion, the proportion of anchorage length to shear width, tensile reinforcement proportion, steel yield strength, stirrup reinforcement ratio, FRP stiffness, and the proportion of sheet span to beamwidth were regarded as the input parameters. The IC debonding strain was regarded as the output. It was found that the BP model can predict the IC debonding strain well. However, the BP data-driven model is easy to fall into a local minimum, and it is very difficult to converge, which has a negative effect on the accuracy of the model. The Sparrow Search Algorithm (SSA) was proposed to update it. The results indicated that the neural network optimized by SSA with lowest relative error, which can predict the IC debonding strain well. In addition, a study on the importance of each input found that the concrete strength, shear span proportion, and reinforcement yield strength will have a big impact on the IC debonding strain.
纤维增强塑料(FRP)通常用于增强钢筋混凝土梁(RC 梁)的承载能力。然而,由于复杂环境和随机荷载的影响,经常会出现脱粘故障。脱粘失效包括三种类型:板端界面脱粘(PE 脱粘)、临界对角线裂缝诱发脱粘(CDC 脱粘)和中间挠曲裂缝诱发界面脱粘(IC 脱粘)。将混凝土强度、剪跨比例、锚固长度与剪切宽度的比例、受拉配筋比例、钢筋屈服强度、箍筋配筋率、玻璃钢刚度、板材跨度与梁宽的比例作为输入参数。IC 剥离应变被视为输出结果。结果发现,BP 模型可以很好地预测 IC 剥离应变。但是,BP 数据驱动模型容易陷入局部最小值,很难收敛,这对模型的精度有负面影响。为此,提出了麻雀搜索算法(SSA)对其进行更新。结果表明,通过 SSA 优化的神经网络相对误差最小,可以很好地预测集成电路的脱粘应变。此外,对各输入的重要性进行研究后发现,混凝土强度、剪跨比例和钢筋屈服强度对 IC 剥离应变的影响较大。
{"title":"Study on the intermediate crack-induced debonding strain of FRP-strengthened concrete members using the updated BP neural network","authors":"Yu Xuan rui","doi":"10.1016/j.asej.2022.102085","DOIUrl":"10.1016/j.asej.2022.102085","url":null,"abstract":"<div><div>Fiber reinforced plastics (FRP) are often used to enhance the capacity of the reinforced concrete beam (RC beam). However, the debonding failure is often observed due to the effect of the complex environment and the random loads. The debonding failure includes three types: plate end interfacial debonding (PE debonding), critical diagonal crack-induced debonding (CDC debonding), and intermediate flexural crack-induced interfacial debonding (IC debonding). In order to investigate the IC debonding strain of RC beam strength by FRP, this paper proposed some data-driven models to explore the IC debonding strain, based on the machine learning approaches The concrete strength, shear span proportion, the proportion of anchorage length to shear width, tensile reinforcement proportion, steel yield strength, stirrup reinforcement ratio, FRP stiffness, and the proportion of sheet span to beamwidth were regarded as the input parameters. The IC debonding strain was regarded as the output. It was found that the BP model can predict the IC debonding strain well. However, the BP data-driven model is easy to fall into a local minimum, and it is very difficult to converge, which has a negative effect on the accuracy of the model. The Sparrow Search Algorithm (SSA) was proposed to update it. The results indicated that the neural network optimized by SSA with lowest relative error, which can predict the IC debonding strain well. In addition, a study on the importance of each input found that the concrete strength, shear span proportion, and reinforcement yield strength will have a big impact on the IC debonding strain.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"15 11","pages":"Article 102085"},"PeriodicalIF":6.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45515940","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}
Pub Date : 2024-11-01DOI: 10.1016/j.asej.2024.102998
Jan Zada , Muhammad Farooq , Aamir Khan , Zabidin Salleh , Bassem F. Felemban , Shahram Rezapour , Mustafa Inc
<div><div>This research paper presents an in-depth investigation into the complex interactions governing stratified fluid flow in the presence of rotational and stretching phenomena, magnetic field influences, heat and mass transfer effects, and the incorporation of thermal and solutal-slips at fluid interfaces. Stratified fluid systems are commonly encountered in various natural and industrial processes, ranging from geophysical flows to chemical engineering applications, making a thorough understanding of these phenomena paramount.</div><div>The study commences by formulating a comprehensive set of governing equations that account for the unique interplay of these multifaceted physical phenomena. Integrating thermal and solutal slip conditions at fluid interfaces introduces innovative prospects for precisely controlling and manipulating mass and heat transfer in these systems. This research paper extensively explores layered fluid dynamics, encompassing phenomena such as rotation and stretching, influences from magnetic fields, effects of heat and mass transfer, and the examination of thermal and solutal slip conditions. The insights obtained from this study not only enhance our comprehension of multi-physics fluid dynamics but also offer practical implications for streamlining processes across diverse fields. The principal findings and implications of this research can be summarized as follows: Various factors that affect fluid flow exhibit evident and discernible patterns. The mathematical model includes the Navier-Stokes equations with rotational and stretching terms, the Maxwell equations describing magnetic field effects, and the transport equations for heat and mass transfer. Additionally, thermal and solutal slip conditions at the fluid interfaces are incorporated to capture boundary layer dynamics.</div><div>Numerical simulations are conducted to explore the intricate dynamics arising from this amalgamation of physical effects. The results reveal complex flow patterns, including stratification, boundary layer development, and vortical structures, offering insights into the behavior of fluids under the joint influence of rotational and stretching phenomena, magnetic fields, and thermal and solutal gradients. Furthermore, the impact of key parameters, such as rotation rate, stretching rate, magnetic field strength, and concentration gradients, is systematically analyzed to elucidate their effects on flow characteristics, heat and mass transfer rates, and concentration profiles within the stratified fluid layers. The Soret effect, or thermophoresis, causes nanoparticles to migrate away from hot regions due to fluid molecule flow and high energy levels. Elevating <span><math><msub><mrow><mi>ξ</mi></mrow><mrow><msub><mrow><mi>N</mi></mrow><mrow><mi>t</mi></mrow></msub></mrow></msub></math></span> results in decreased heat and mass transfer. The Prandtl number shows minimal influence on heat and mass transfer when increased. The disk separati
{"title":"Enhancing transport processes in stratified fluids: Exploring rotational and stretching effects coupled with magnetic fields, heat, mass transfer and thermal/solutal slip","authors":"Jan Zada , Muhammad Farooq , Aamir Khan , Zabidin Salleh , Bassem F. Felemban , Shahram Rezapour , Mustafa Inc","doi":"10.1016/j.asej.2024.102998","DOIUrl":"10.1016/j.asej.2024.102998","url":null,"abstract":"<div><div>This research paper presents an in-depth investigation into the complex interactions governing stratified fluid flow in the presence of rotational and stretching phenomena, magnetic field influences, heat and mass transfer effects, and the incorporation of thermal and solutal-slips at fluid interfaces. Stratified fluid systems are commonly encountered in various natural and industrial processes, ranging from geophysical flows to chemical engineering applications, making a thorough understanding of these phenomena paramount.</div><div>The study commences by formulating a comprehensive set of governing equations that account for the unique interplay of these multifaceted physical phenomena. Integrating thermal and solutal slip conditions at fluid interfaces introduces innovative prospects for precisely controlling and manipulating mass and heat transfer in these systems. This research paper extensively explores layered fluid dynamics, encompassing phenomena such as rotation and stretching, influences from magnetic fields, effects of heat and mass transfer, and the examination of thermal and solutal slip conditions. The insights obtained from this study not only enhance our comprehension of multi-physics fluid dynamics but also offer practical implications for streamlining processes across diverse fields. The principal findings and implications of this research can be summarized as follows: Various factors that affect fluid flow exhibit evident and discernible patterns. The mathematical model includes the Navier-Stokes equations with rotational and stretching terms, the Maxwell equations describing magnetic field effects, and the transport equations for heat and mass transfer. Additionally, thermal and solutal slip conditions at the fluid interfaces are incorporated to capture boundary layer dynamics.</div><div>Numerical simulations are conducted to explore the intricate dynamics arising from this amalgamation of physical effects. The results reveal complex flow patterns, including stratification, boundary layer development, and vortical structures, offering insights into the behavior of fluids under the joint influence of rotational and stretching phenomena, magnetic fields, and thermal and solutal gradients. Furthermore, the impact of key parameters, such as rotation rate, stretching rate, magnetic field strength, and concentration gradients, is systematically analyzed to elucidate their effects on flow characteristics, heat and mass transfer rates, and concentration profiles within the stratified fluid layers. The Soret effect, or thermophoresis, causes nanoparticles to migrate away from hot regions due to fluid molecule flow and high energy levels. Elevating <span><math><msub><mrow><mi>ξ</mi></mrow><mrow><msub><mrow><mi>N</mi></mrow><mrow><mi>t</mi></mrow></msub></mrow></msub></math></span> results in decreased heat and mass transfer. The Prandtl number shows minimal influence on heat and mass transfer when increased. The disk separati","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"15 11","pages":"Article 102998"},"PeriodicalIF":6.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652356","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}
This study aimed to assess the coherence between groundwater levels and various factors during two distinct periods, 2002–2020 and 2025–2050, in Miandoab aquifer in northwestern of the Iran. Partial wavelet coherence and multi-wavelet coherence analyses were employed to assess the coherence between individual parameters and their simultaneous coherence. The factors considered in the study were derived from remote sensing data, including Gravity Recovery and Climate Experiment data and Landsat data, which were utilized to examine water storage anomalies and anthropogenic activity, respectively. Additionally, General Circulation Models were employed to predict groundwater levels under future climate change scenarios via a feedforward neural network. To streamline the modeling process and categorize piezometers, with each group reflecting different patterns, clustering techniques were applied to group multiple piezometers. There were four final clusters, and representative piezometers from each cluster were chosen as targets for modeling and future predictions. Finally, the differences in coherence between past and future periods were compared and analyzed. The results revealed decreasing trends in groundwater level, precipitation and soil moisture index in 2025–2050; however, there were increasing trends in normalized difference vegetation index and temperature. In addition, wavelet analysis indicated that during the period 2025–2050, the delay in interaction between groundwater level and various factors decreased to 0–4 months, whereas longer delays were observed for the period 2002–2020. The analysis of multi- wavelet coherence showed that the combination of climate change and anthropogenic activity may have more significant coherence (0.9–1) with groundwater level than the combination of gravity recovery and climate experiment data and soil moisture index. The results highlight the greater significance of gravity recovery and climate experiment data in terms of coherence with groundwater levels compared to other factors.
{"title":"Assessment of the coherence of groundwater levels in coastal aquifers with climate change and anthropogenic activity","authors":"Vahid Nourani , Nardin Jabbarian Paknezhad , Yongqiang Zhang , Dominika Dąbrowska","doi":"10.1016/j.asej.2024.103041","DOIUrl":"10.1016/j.asej.2024.103041","url":null,"abstract":"<div><div>This study aimed to assess the coherence between groundwater levels and various factors during two distinct periods, 2002–2020 and 2025–2050, in Miandoab aquifer in northwestern of the Iran. Partial wavelet coherence and multi-wavelet coherence analyses were employed to assess the coherence between individual parameters and their simultaneous coherence. The factors considered in the study were derived from remote sensing data, including Gravity Recovery and Climate Experiment data and Landsat data, which were utilized to examine water storage anomalies and anthropogenic activity, respectively. Additionally, General Circulation Models were employed to predict groundwater levels under future climate change scenarios via a feedforward neural network. To streamline the modeling process and categorize piezometers, with each group reflecting different patterns, clustering techniques were applied to group multiple piezometers. There were four final clusters, and representative piezometers from each cluster were chosen as targets for modeling and future predictions. Finally, the differences in coherence between past and future periods were compared and analyzed. The results revealed decreasing trends in groundwater level, precipitation and soil moisture index in 2025–2050; however, there were increasing trends in normalized difference vegetation index and temperature. In addition, wavelet analysis indicated that during the period 2025–2050, the delay in interaction between groundwater level and various factors decreased to 0–4 months, whereas longer delays were observed for the period 2002–2020. The analysis of multi- wavelet coherence showed that the combination of climate change and anthropogenic activity may have more significant coherence (0.9–1) with groundwater level than the combination of gravity recovery and climate experiment data and soil moisture index. The results highlight the greater significance of gravity recovery and climate experiment data in terms of coherence with groundwater levels compared to other factors.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"15 11","pages":"Article 103041"},"PeriodicalIF":6.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652112","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}
Pub Date : 2024-11-01DOI: 10.1016/j.asej.2024.103035
Saleh Fahad Aljurbua
This research delves into investigating the presence of solutions to fractional differential equations with an order . These equations include the Caputo derivative and introduce innovative nonlocal antiperiodic boundary conditions. These boundary conditions, defined at a nonlocal intermediary point and the fixed endpoint c of the interval , where , , and . They are specifically designed to enhance measurement accuracy in applied mathematics and physics. The research demonstrates the existence and uniqueness of solutions by employing Krasnoselskii's fixed-point theorem and the contraction mapping principle. A thorough analysis of the fractional differential equations supports this mathematical framework. This work verifies the viability of such equations and emphasizes their practical importance in representing intricate physical phenomena. Finally, examples are provided to illustrate the results.
{"title":"Generalized existence results for solutions of nonlinear fractional differential equations with nonlocal boundary conditions","authors":"Saleh Fahad Aljurbua","doi":"10.1016/j.asej.2024.103035","DOIUrl":"10.1016/j.asej.2024.103035","url":null,"abstract":"<div><div>This research delves into investigating the presence of solutions to fractional differential equations with an order <span><math><mi>σ</mi><mo>∈</mo><mo>(</mo><mn>2</mn><mo>,</mo><mn>3</mn><mo>]</mo></math></span>. These equations include the Caputo derivative and introduce innovative nonlocal antiperiodic boundary conditions. These boundary conditions, defined at a nonlocal intermediary point <span><math><mn>0</mn><mo>≤</mo><mi>δ</mi><mo><</mo><mi>c</mi></math></span> and the fixed endpoint <em>c</em> of the interval <span><math><mo>[</mo><mn>0</mn><mo>,</mo><mi>c</mi><mo>]</mo></math></span>, where <span><math><mi>ψ</mi><mo>(</mo><mi>δ</mi><mo>)</mo><mo>=</mo><mo>−</mo><mi>ψ</mi><mo>(</mo><mi>c</mi><mo>)</mo></math></span>, <span><math><msup><mrow><mi>ψ</mi></mrow><mrow><mo>′</mo></mrow></msup><mo>(</mo><mi>δ</mi><mo>)</mo><mo>=</mo><mo>−</mo><msup><mrow><mi>ψ</mi></mrow><mrow><mo>′</mo></mrow></msup><mo>(</mo><mi>c</mi><mo>)</mo></math></span>, and <span><math><msup><mrow><mi>ψ</mi></mrow><mrow><mo>″</mo></mrow></msup><mo>(</mo><mi>δ</mi><mo>)</mo><mo>=</mo><mo>−</mo><msup><mrow><mi>ψ</mi></mrow><mrow><mo>″</mo></mrow></msup><mo>(</mo><mi>c</mi><mo>)</mo></math></span>. They are specifically designed to enhance measurement accuracy in applied mathematics and physics. The research demonstrates the existence and uniqueness of solutions by employing Krasnoselskii's fixed-point theorem and the contraction mapping principle. A thorough analysis of the fractional differential equations supports this mathematical framework. This work verifies the viability of such equations and emphasizes their practical importance in representing intricate physical phenomena. Finally, examples are provided to illustrate the results.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"15 11","pages":"Article 103035"},"PeriodicalIF":6.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652299","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}
Pub Date : 2024-11-01DOI: 10.1016/j.asej.2024.103026
Abdullah M. Shaheen , Abdullah Alassaf , Ibrahim Alsaleh , Attia A. El-Fergany
This paper presents a novel attempt to identify the seven unknown proton exchange membrane (PEM) Fuel Cells (PEMFCs)’ parameters. The sum of quadratic deviations (SQD) between the appropriate estimated model-based and the measured dataset points is used to define the cost function. A human memory optimizer (HMO) is employed to decide on the best PEMFC parameters within acceptable boundaries. The AVISTA SR-12, BCS 500-W, NedStack PS6 6-kW, and 250-W units are four different real-world datasets of commercial PEMFCs stacks that are used to test the applied HMO method. The SQD’s values for AVISTA SR-12, BCS 500-W, NedStack PS6 6-kW and 250-W units are 0.000142335, 0.0116978, 2.145700, and 0.331371, respectively (all in ). The findings demonstrate that the PEMFC model is accurately characterized by the HMO, with sensitivity analysis performed using Monte-Carlo indicators, Sobol indices, and sensitivity metrics. The HMO-based approach has good efficacy in obtaining smooth convergence patterns and the lowest values of SQDs.
{"title":"Enhancing model characterization of PEM Fuel cells with human memory optimizer including sensitivity and uncertainty analysis","authors":"Abdullah M. Shaheen , Abdullah Alassaf , Ibrahim Alsaleh , Attia A. El-Fergany","doi":"10.1016/j.asej.2024.103026","DOIUrl":"10.1016/j.asej.2024.103026","url":null,"abstract":"<div><div>This paper presents a novel attempt to identify the seven unknown proton exchange membrane (PEM) Fuel Cells (PEMFCs)’ parameters. The sum of quadratic deviations (SQD) between the appropriate estimated model-based and the measured dataset points is used to define the cost function. A human memory optimizer (HMO) is employed to decide on the best PEMFC parameters within acceptable boundaries. The AVISTA SR-12, BCS 500-W, NedStack PS6 6-kW, and 250-W units are four different real-world datasets of commercial PEMFCs stacks that are used to test the applied HMO method. The SQD’s values for AVISTA SR-12, BCS 500-W, NedStack PS6 6-kW and 250-W units are 0.000142335, 0.0116978, 2.145700, and 0.331371, respectively (all in <span><math><mrow><msup><mrow><mi>V</mi></mrow><mn>2</mn></msup></mrow></math></span>). The findings demonstrate that the PEMFC model is accurately characterized by the HMO, with sensitivity analysis performed using Monte-Carlo indicators, Sobol indices, and sensitivity metrics. The HMO-based approach has good efficacy in obtaining smooth convergence patterns and the lowest values of SQDs.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"15 11","pages":"Article 103026"},"PeriodicalIF":6.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652354","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}
Pub Date : 2024-11-01DOI: 10.1016/j.asej.2024.103011
Nasser Zouli
Mesoporous aluminosilica particulates (MASP) offer a high surface area and specific structural properties that make them effective for adsorbing specific contaminants from drinking water. The MASP’s surface characteristics were studied by SEM, TEM, Mapping-EDX, and BET analysis. Through the use of a batch adsorption approach, this work sought to examine the adsorption behavior of MASP sorbent towards Cd(II) ions at different pH values, time intervals, sorbent doses, and temperatures. MASP’s maximal capacity for Cd(II) ions uptake was 16.5 mg/g at pH 6.5, 25 °C, 0.1 g dose, and 5 h of sorption time. The pseudo-first-order model provided a good description of the uptake process. The best-fitting isotherm was found to be the Langmuir and Redlich–Peterson isotherm. The method came out to be exothermic and spontaneous by thermodynamic analysis. MASP demonstrates durability and reusability during over ten regeneration cycles.
{"title":"Synthesis of high-ordered mesoporous aluminosilica monoliths using triblock copolymer and application in the water purification","authors":"Nasser Zouli","doi":"10.1016/j.asej.2024.103011","DOIUrl":"10.1016/j.asej.2024.103011","url":null,"abstract":"<div><div>Mesoporous aluminosilica particulates (MASP) offer a high surface area and specific structural properties that make them effective for adsorbing specific contaminants from drinking water. The MASP’s surface characteristics were studied by SEM, TEM, Mapping-EDX, and BET analysis. Through the use of a batch adsorption approach, this work sought to examine the adsorption behavior of MASP sorbent towards Cd(II) ions at different pH values, time intervals, sorbent doses, and temperatures. MASP’s maximal capacity for Cd(II) ions uptake was 16.5 mg/g at pH 6.5, 25 °C, 0.1 g dose, and 5 h of sorption time. The pseudo-first-order model provided a good description of the uptake process. The best-fitting isotherm was found to be the Langmuir and Redlich–Peterson isotherm. The method came out to be exothermic and spontaneous by thermodynamic analysis. MASP demonstrates durability and reusability during over ten regeneration cycles.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"15 11","pages":"Article 103011"},"PeriodicalIF":6.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652298","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}
Pub Date : 2024-11-01DOI: 10.1016/j.asej.2024.103003
Faris Ali Mustafa, Lana Abubaker Ali
The courtyard house is a typical design plays a significant role in shaping traditional house’s physical layout, and climatic condition. The architectural characteristics of a traditional courtyard house led to a comprehensive clarification of its spatial and mass organization. Historically, the Erbil citadel has served as a symbol of Erbil, Iraqi Kurdistan's capital. In addition, buffer zones around the citadel are defined by UNESCO to be within the World Heritage list. This study aims to analyze the spatial and geometrical characteristics of traditional courtyard houses in Erbil City. Then, it examines similarities and differences among the various architectural styles and explores the main key architectural elements. A qualitative inductive content analysis was used involving drawings, photographs. The findings show the variations in the house spatial- mass composition. The study concluded that three-sided courtyards, wooden doors, traditional windows, Arches, and brick ornamentation are the most common architectural components in traditional houses.
{"title":"Common architectural characteristics of traditional courtyard houses in Erbil city","authors":"Faris Ali Mustafa, Lana Abubaker Ali","doi":"10.1016/j.asej.2024.103003","DOIUrl":"10.1016/j.asej.2024.103003","url":null,"abstract":"<div><div>The courtyard house is a typical design plays a significant role in shaping traditional house’s physical layout, and climatic condition. The architectural characteristics of a traditional courtyard house led to a comprehensive clarification of its spatial and mass organization. Historically, the Erbil citadel has served as a symbol of Erbil, Iraqi Kurdistan's capital. In addition, buffer zones around the citadel are defined by UNESCO to be within the World Heritage list. This study aims to analyze the spatial and geometrical characteristics of traditional courtyard houses in Erbil City. Then, it examines similarities and differences among the various architectural styles and explores the main key architectural elements. A qualitative inductive content analysis was used involving drawings, photographs. The findings show the variations in the house spatial- mass composition. The study concluded that three-sided courtyards, wooden doors, traditional windows, Arches, and brick ornamentation are the most common architectural components in traditional houses.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"15 11","pages":"Article 103003"},"PeriodicalIF":6.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142209454","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}
Pub Date : 2024-11-01DOI: 10.1016/j.asej.2024.103048
Muhammad Sajjad , Anfeng Hu , Dorin RADU , Ahsan Waqar , Hamad R. Almujibah , Abdul Mateen
As an emerging area with far-reaching implications for project management practices, Despite the growing global adoption of Building Information Modelling (BIM), its implementation in the Pakistani construction sector faces significant challenges, particularly in relation to conflict and risk management, communication, and technical safety practices. The primary objective of this study is to identify and evaluate the key factors influencing BIM adoption in Pakistan, with a specific focus on understanding the roles of conflict and risk management, communication, technical safety management, and resource management in successful BIM implementation. The research used a combined pilot survey with 90 contributors, a prime questionnaire with 125 contributors, an exploratory factor analysis (EFA), and a structural equation modelling (SEM) approach has been used to do in depth statistical analysis. The results indicated the highest relation among planning and technical safety management and BIM implementation with path impact value of 0.613 followed by conflict and risk management with path value 272. According to the findings, every contributes appreciably to BIM’s usefulness in construction and project management. This examination contributes to the development of BIM research.
{"title":"BIM implementation in project management practices for sustainable development: Partial Least square approach","authors":"Muhammad Sajjad , Anfeng Hu , Dorin RADU , Ahsan Waqar , Hamad R. Almujibah , Abdul Mateen","doi":"10.1016/j.asej.2024.103048","DOIUrl":"10.1016/j.asej.2024.103048","url":null,"abstract":"<div><div>As an emerging area with far-reaching implications for project management practices, Despite the growing global adoption of Building Information Modelling (BIM), its implementation in the Pakistani construction sector faces significant challenges, particularly in relation to conflict and risk management, communication, and technical safety practices. The primary objective of this study is to identify and evaluate the key factors influencing BIM adoption in Pakistan, with a specific focus on understanding the roles of conflict and risk management, communication, technical safety management, and resource management in successful BIM implementation. The research used a combined pilot survey with 90 contributors, a prime questionnaire with 125 contributors, an exploratory factor analysis (EFA), and a structural equation modelling (SEM) approach has been used to do in depth statistical analysis. The results indicated the highest relation among planning and technical safety management and BIM implementation with path impact value of 0.613 followed by conflict and risk management with path value 272. According to the findings, every contributes appreciably to BIM’s usefulness in construction and project management. This examination contributes to the development of BIM research.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"15 11","pages":"Article 103048"},"PeriodicalIF":6.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142261550","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}
Pub Date : 2024-11-01DOI: 10.1016/j.asej.2024.103033
Amr R. Refaiy, Nahla M. AboulAtta, Mohamed A. Gad, Doaa A. El-Molla
This study investigates the effect of extreme storms on the safety of flood protection dams within complex schemes. A modeling methodology is developed using HEC-RAS 2D and presented on an illustrative case, where nine scenarios are simulated. The impact of climatic shifts on extreme storms and dams’ safety is highlighted. The results showed that, despite multi-reservoir systems can be efficient in flood protection against their design storms, they can cause catastrophic damage when subjected to extreme events that have become evident nowadays due to climatic shifts. This is attributed to the successive failure of the water storage structures in a progressive (“domino-like”) manner. The consequences of such breaches can significantly multiply the hazards. These findings can be linked to storm Daniel that occurred at Wadi Derna in Libya and caused two successive dam breaches, leaving a tragedy. The proposed modeling methodology can be useful for designers in evaluating complex scenarios.
{"title":"Modeling the successive failure of complex dams systems: A necessity in the light of climatic shifts in extreme storms","authors":"Amr R. Refaiy, Nahla M. AboulAtta, Mohamed A. Gad, Doaa A. El-Molla","doi":"10.1016/j.asej.2024.103033","DOIUrl":"10.1016/j.asej.2024.103033","url":null,"abstract":"<div><div>This study investigates the effect of extreme storms on the safety of flood protection dams within complex schemes. A modeling methodology is developed using HEC-RAS 2D and presented on an illustrative case, where nine scenarios are simulated. The impact of climatic shifts on extreme storms and dams’ safety is highlighted. The results showed that, despite multi-reservoir systems can be efficient in flood protection against their design storms, they can cause catastrophic damage when subjected to extreme events that have become evident nowadays due to climatic shifts. This is attributed to the successive failure of the water storage structures in a progressive (“domino-like”) manner. The consequences of such breaches can significantly multiply the hazards. These findings can be linked to storm Daniel that occurred at Wadi Derna in Libya and caused two successive dam breaches, leaving a tragedy. The proposed modeling methodology can be useful for designers in evaluating complex scenarios.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"15 11","pages":"Article 103033"},"PeriodicalIF":6.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652223","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}