Waridho Iskandar , James Julian , Ming-Jyh Chern , Harinaldi
{"title":"Investigation of fluidic oscillator performance improvements by modifying interior chamber with a backward facing step geometry","authors":"Waridho Iskandar , James Julian , Ming-Jyh Chern , Harinaldi","doi":"10.1016/j.asej.2025.103323","DOIUrl":"10.1016/j.asej.2025.103323","url":null,"abstract":"<div><div>A computational method is used to model the BFSFO with variations in LR and HR to make it more efficient with high frequency and low average pressure drop. BFSFO LR 0.402 HR 0.4 outperformed the other variations with a frequency increase of 33.17% compared to the clean fluidic oscillator. The increase in frequency of BFSFO LR 0.402 HR 0.4 relative to the BFSFO baseline is 8.95%. The average pressure drop is 1.27% higher than clean fluidic oscillator. The decrease in the average pressure drop of BFSFO LR 0.402 HR 0.4 relative to the BFSFO baseline is 15.21%. The oscillation frequency increased due to the fluid flow with higher momentum in the upper and lower feedback channels. The circulation bubble in BFSFO LR 0.402 HR 0.4 is smaller than that in the BFSFO baseline, resulting in a lower average pressure drop.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 3","pages":"Article 103323"},"PeriodicalIF":6.0,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143463992","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}
Ahmed A. Nasr , Baizhi Wang , Songgui Chen , Feng Jin
{"title":"Monitoring the flow patterns of high performance self-compacting concrete in the voids of sloped rock-filled concrete structures","authors":"Ahmed A. Nasr , Baizhi Wang , Songgui Chen , Feng Jin","doi":"10.1016/j.asej.2025.103313","DOIUrl":"10.1016/j.asej.2025.103313","url":null,"abstract":"<div><div>Rock-filled concrete (RFC) integrates rocks with high-performance self-compacting concrete (HSCC), combining rock stability with superior concrete properties. Effective HSCC cementation, especially in concealed areas, is critical for RFC’s structural integrity, but flow through intricate rock interstices poses challenges in quantifying filling performance. This study investigates HSCC flow on inclined rock surfaces using a real-time monitoring system to track behavior and efficiency. Key factors such as slope, flowability, rock size, and coarse aggregate size were analyzed. Results show that improved flowability enhances cavity filling, smaller rocks increase granular interlocking, and greater slopes accelerate flow velocity but do not ensure uniform filling. Optimal parameters for effective casting are a slump flow of 600–700 mm, rock sizes of 12.5–15 cm, and a rock skeleton slope of 1:2. Lastly, a predictive formula for HSCC flow velocity through inclined rock interstices was developed, providing insights for efficient RFC construction and enhanced structural performance.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 3","pages":"Article 103313"},"PeriodicalIF":6.0,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143454082","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}
{"title":"Sustainable cities and urban dynamics: The role of the café culture in transforming the public realm","authors":"Emad Noaime , Chaham Alalouch , Abdelhakim Mesloub , Haifa Hamdoun , Hela Gnaba , Mohmmed Mashary Alnaim","doi":"10.1016/j.asej.2025.103320","DOIUrl":"10.1016/j.asej.2025.103320","url":null,"abstract":"<div><div>This paper explores the intricate role of coffee shops in shaping public spaces within the urban fabric an enhanced to the urban social sustainability. The investigation focuses on four distinct models of cafés − from roadside kiosks to garden-embedded establishments − each offering unique contributions to the urban tapestry. These models are evaluated in Hail, Saudi Arabia, against key urban attributes like design, accessibility, and community engagement, highlighting their multifaceted impact on public life. By conducting an extensive examination utilizing ethnographic methodologies, case studies, and comparative assessments, we elucidate the transformation of coffee shops from simple refreshment spots to essential social centers that play a crucial role in enhancing urban liveliness, fostering social unity, and bolstering economic prosperity. The findings suggest that beyond serving as leisure spots, coffee shops are instrumental in fostering inclusive public realms, stimulating cultural exchange, and driving economic growth. The study underscores the need for strategic urban planning that leverages these spaces for broader social and developmental goals, offering insights into the potential for coffee shops to enhance the quality of urban life in Hail and beyond and contributing to the transformative agenda of Vision 2030.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 3","pages":"Article 103320"},"PeriodicalIF":6.0,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143437926","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}
{"title":"Tropical Cyclone Intensity Prediction using Bayesian Machine Learning with Marine Predators Algorithm on Satellite Cloud Imagery","authors":"Mahmoud Ragab","doi":"10.1016/j.asej.2025.103316","DOIUrl":"10.1016/j.asej.2025.103316","url":null,"abstract":"<div><div>Due to its wide range of associated hazards, tropical cyclones (TC) become the costliest natural disaster worldwide. A correct diagnosis model for the TC intensity can save property and lives. Unfortunately, intensity forecasting of TC has been a bottleneck and has made it difficult to forecast weather. Several existing approaches and techniques make a diagnosis of TC wind speed through the satellite data at the specified time with varying success. Deep learning (DL)-based intensity forecasting has recently held great promise in surpassing conventional approaches. DL-based techniques have been developed in geosciences to replace traditional methods. However, weather forecasting is uncertain due to the Earth system’s nonlinearity, complexity, and chaotic effects.<!--> <!-->Thus, this manuscript develops a new Bayesian Machine Learning with Marine Predators Algorithm for TC Intensity Prediction (BMLMPA-TCIP) approach. The major goal of the BMLMPA-TCIP model is to estimate the level of the TCs on satellite cloud images. To accomplish this, the BMLMPA-TCIP technique utilizes the Gaussian filtering (GF) approach to eradicate the noise in the cloud images. Additionally, the extraction of useful feature vectors is performed by using the capsule network (CapsNet) technique. Moreover, the MPA method accomplishes the hyperparameter tuning of the CapsNet method. Lastly, the BMLMPA-TCIP technique utilizes the Bayesian Belief Network (BBN) method to predict TC intensity. To authorize the performance of the BMLMPA-TCIP approach, a wide variety of experiments are performed under the TC image dataset. The experimental validation of the BMLMPA-TCIP approach illustrates a superior RMSE value of 5.89 over existing techniques.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 3","pages":"Article 103316"},"PeriodicalIF":6.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143427821","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}
{"title":"Sustainable construction solutions: The role of sugar factory lime waste-activated slag in high-performance concrete","authors":"Hadi Bahmani, Davood Mostofinejad","doi":"10.1016/j.asej.2025.103315","DOIUrl":"10.1016/j.asej.2025.103315","url":null,"abstract":"<div><div>This pioneering research aims to develop high-performance concrete (HPC) using waste lime from sugar factories to activate slag. The study explores the transformative effects of high-temperature treatment on sugar factory lime waste and its potential to enhance slag activation, representing a novel approach in sustainable construction materials. The newly formulated HPC was rigorously compared with traditional counterparts made from calcium oxide-activated slag and calcined dolomite. A comprehensive series of tests were conducted at 28 days, assessing critical performance metrics, including compressive strength, four-point bending strength, tensile strength, and water absorption. Microstructural analysis was performed using Scanning Electron Microscopy (SEM), Energy Dispersive X-ray Spectroscopy (EDAX), and Fourier Transform Infrared Spectroscopy (FTIR). The results revealed that samples activated with 10 % sugar factory lime waste achieved a compressive strength of approximately 80 MPa, rivaling samples activated with 10 % calcium oxide. These lime-activated samples also demonstrated outstanding tensile and bending strengths of 5.6 MPa and 6.6 MPa, respectively—the highest recorded in this study. The microstructural analysis indicated a dense microstructure with an elevated Si/Al ratio and significant geopolymerization. The low water absorption rate of 2.1 % highlighted the reduced porosity of this innovative geopolymeric matrix. This research is the first to investigate the high-temperature treatment of sugar factory lime waste for slag activation in HPC. The findings suggest that incorporating 10 % waste lime significantly lowers the climate change impact index to 397.6 kg CO<sub>2</sub> eq—12 % less than samples with 30 % calcium oxide and 7 % lower than those with 30 % dolomite. Using sugar factory waste lime enhances mechanical properties and promotes environmental sustainability, presenting a compelling alternative that excels in both performance and ecological benefits.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 3","pages":"Article 103315"},"PeriodicalIF":6.0,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419868","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}
Ahmed H. EL-Ebiary, Mostafa I. Marei, Mohamed Mokhtar
{"title":"Data-driven optimal adaptive MPPT techniques for grid-connected photovoltaic systems","authors":"Ahmed H. EL-Ebiary, Mostafa I. Marei, Mohamed Mokhtar","doi":"10.1016/j.asej.2025.103318","DOIUrl":"10.1016/j.asej.2025.103318","url":null,"abstract":"<div><div>The constant fluctuations in the maximum power obtained from Photovoltaic (PV) systems are due to variations of temperature and irradiance. Maximum Power Point Tracking (MPPT) techniques are used to guarantee the best possible efficiency and performance for the PV systems. In this paper, an Incremental Conductance (IC) MPPT technique based on adaptive controllers is proposed. This paper presents two different types of adaptive PI controllers, including optimized Fractional Order Adaptive PI (FOAPI), and Single Perceptron Adaptive PI (SP-API). The IC technique along with the adaptive controllers ensure accurate extraction of maximum power under sudden changes and different weather conditions. Moreover, machine learning is utilized to initialize the duty cycle of PV system converter, where different regression models are compared and the model with the least Root Mean square error (RMSE) is exploited. Three case studies are carried out to compare and validate the performance of the suggested adaptive MPPT controllers.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 3","pages":"Article 103318"},"PeriodicalIF":6.0,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419934","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}
{"title":"Incorporating stochasticity in demands for optimizing resource allocation in versatile edge systems devoid of layer constraints","authors":"Jimei Gao , Chunhua Cai","doi":"10.1016/j.asej.2025.103300","DOIUrl":"10.1016/j.asej.2025.103300","url":null,"abstract":"<div><div>While stochastic demand models have been introduced to better capture resource fluctuations, each instance of problem under different architectures needs to be analyzed and solved separately with duplicated work, this limitation motivates research to develop a scalable and adaptive resource scheduling solution capable of handling edge systems with any number of layers. Fortunately, we found that this kind of stochastic scheduling problem combined with sharing has an invariant optimal substructure that is independent of the number of layers, and propose the Placement of Resource in Any layer Edge architecture (PRAE) algorithm. We find an efficient way to solve it by splitting it into multiple subproblem groups and characterizing the relationship between these subproblems as an isomorphic network. We then identify optimal conditions for subproblem groups at different layers, and quickly achieve a solution using dynamic programming. Extensive evaluations show that PRAE improves resource utilization by over 28% compared to average demand models and achieves over 98% of optimal performance across diverse scenarios, with significantly lower computational complexity.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 3","pages":"Article 103300"},"PeriodicalIF":6.0,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403104","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}
{"title":"Evaluating the role of additive manufacturing in adobe brick enhancement: A comparative study","authors":"Shaimaa Tarek , Yasser Mansour , Sherif Abdelmohsen , Mohamed Kohail , Ayman Assem","doi":"10.1016/j.asej.2025.103298","DOIUrl":"10.1016/j.asej.2025.103298","url":null,"abstract":"<div><div>The rapid integration of additive manufacturing in construction, alongside a focus on sustainability, has revived interest in earth materials within modern building practices. Adobe brick, noted for its structural and thermal properties, is among the most studied earth-construction techniques for contemporary use. However, the potential of 3D-printed adobe bricks in construction remains underexplored, particularly in optimizing their structural performance. This study examines the impact of Triply Periodic Minimal Surface (TPMS) infill geometries on the compressive strength of locally sourced, air-dried 3D-printed adobe bricks. Specimens were designed as single-cell surfaces enclosed within 6 cm cubes and tested against traditional solid samples. Results revealed a significant strength increase in 3D-printed bricks using PW-hybrid infills, with compressive strengths reaching 3.10 MPa for a 2.5 mm layer height—nearly double the 1.65 MPa of molded samples. These findings highlight the potential of combining sustainable materials with advanced manufacturing techniques to enhance construction practices.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 3","pages":"Article 103298"},"PeriodicalIF":6.0,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143402657","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}
Sajid Gul , Xia Cui , Gokmen Ceribasi , Ahmet Iyad Ceyhunlu , Hamza Pir
{"title":"Investigation of variability in monthly minimum and maximum temperature with trend methods in Khyber Pakhtunkhwa, Pakistan","authors":"Sajid Gul , Xia Cui , Gokmen Ceribasi , Ahmet Iyad Ceyhunlu , Hamza Pir","doi":"10.1016/j.asej.2025.103296","DOIUrl":"10.1016/j.asej.2025.103296","url":null,"abstract":"<div><div>Global warming is an inherent phenomenon that has a substantial impact on both the ecosphere and the human population. Understanding and strategizing to mitigate the effects of global warming is of utmost importance. Extensive research regarding climatological factors has been conducted in a recent timeframe. The predominant approach employed in such investigations is trend analysis. This study employs the Trend Polygon Star Concept, Three-Dimensional Innovative Trend Analysis (3D-ITA), and Innovative Polygon Trend Analysis (IPTA) due to their effectiveness in visualizing, analyzing, and understanding complex temperature data in the context of climate change. The IPTA Process is a method used to compare the raw and processed data sets of two data series. To illustrate the test’s findings, the Trend Polygon Star Concept splits the two-month data set interval on a graph—the IPTA output—into four parts. Thus, this research assesses monthly minimum and maximum temperature data using this two-polygon methodology. This data capture spans four decades (1981–2020). As an outcome of the work, polygon graphics were generated. Furthermore, the IPTA method has been used to compute the trend slopes and lengths of temperature data. A list was prepared to provide all the values for the x- and y-axis of graphs created using the Trend Polygon Star Concept Method. The findings of both research methodologies were reviewed for a particular station. Additionally, when the arithmetic mean analysis of monthly maximum temperatures was examined, a rising trend was detected in most months. In contrast, the lowest temperature series revealed no movement in most of the months. When the standard deviation graph was studied, it was discovered that all ten zones had transitions between two months. Using the 3D-ITA strategy, 40% of the entire region was found to have stable trends, whereas 60% of the region examined had unstable trends.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 3","pages":"Article 103296"},"PeriodicalIF":6.0,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387524","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}
Yuanduo Chen , Jingkun Xu , Huiwen Xiang , Zongsheng Huang , Zhixin Lin , Shaowei Lu
{"title":"Construction of a public space network connectivity and vitality optimization system in historical districts of southwestern China: Guiyang case study","authors":"Yuanduo Chen , Jingkun Xu , Huiwen Xiang , Zongsheng Huang , Zhixin Lin , Shaowei Lu","doi":"10.1016/j.asej.2025.103304","DOIUrl":"10.1016/j.asej.2025.103304","url":null,"abstract":"<div><div>Globalization presents significant challenges to the authenticity of world heritage sites, often leading to tensions between preservation and development. Southwestern mountainous cities in China, despite relatively slow economic growth, have managed to maintain well-preserved historical and cultural heritage, though these areas remain underrecognized internationally. This study examines the spatial connectivity and vitality of public spaces in Guiyang, a representative city. Using Voronoi polygons and complex network analysis, the investigation focuses on the distribution, connectivity, and vitality optimization of public spaces in historical districts. Results indicate that natural factors shape the spatial organization, with social public spaces demonstrating the highest network stability. In contrast, collective spaces show local stability but are vulnerable to socioeconomic disparities. Both types exhibit a core-periphery structure with varying levels of openness. The proposed Distribution-Network-Vitality-Path (DNVP) system provides a framework for enhancing public space vitality, offering practical guidance for heritage conservation and urban planning globally.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 3","pages":"Article 103304"},"PeriodicalIF":6.0,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387525","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}