alexandria engineering journal最新文献

{"title":"Effect of ultrasonic radiation on the organization and mechanical properties of laser-melted Ni-based WC coatings","authors":"","doi":"10.1016/j.aej.2024.09.104","DOIUrl":"10.1016/j.aej.2024.09.104","url":null,"abstract":"<div><div>In this paper, laser cladding technology and ultrasonic radiation technology are combined to eliminate defects such as cracks and porosity in the coating. Firstly, the influence of the ultrasonic amplitude parameter on the macroscopic morphology and microstructure of the coating was investigated, and the dissolution law of WC was analyzed. It was found that under ultrasonic radiation with an amplitude of 14 μm, the surface of the coating was smoother and the average grain size was 16.52 μm², which was reduced by 66.47 % compared to that of the coating without applied ultrasonic. Secondly, the effect of the ultrasonic radiation process on the mechanical properties of the coating was analyzed by comparative experiments. The results showed that when the amplitude of ultrasound was 14 μm, the number of cracks in the coating was effectively reduced, the amount of wear was reduced by 96.49 %, and the average microhardness value was 510.92 HV_0.025, which was a relative increase of 28.10 %. Finally, the longitudinal residual stress of the coating was measured and the residual stress at the bottom of the coating was reduced by 95.31 % at an amplitude of 14 μm.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":null,"pages":null},"PeriodicalIF":6.2,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421651","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":"Experimental and finite element studies on the mechanical properties of high-strength concrete using natural zeolite and additives","authors":"","doi":"10.1016/j.aej.2024.09.094","DOIUrl":"10.1016/j.aej.2024.09.094","url":null,"abstract":"<div><div>Addressing high carbon footprints is a critical global problem in cement production. Using environmentally friendly materials has proven to be a solution to environmental challenges. In this study, High-Strength Concrete of M60 is produced with Natural Zeolite and industrial waste materials. The combinations of 5 % zeolite and varying percentages of industrial wastes such as Silica Fume, Metakaolin, and Fly Ash are tested for mechanical properties. The laboratory test data is compared with numerical simulations to assess the accuracy and determine the error percentage for concrete strength predictions. The process involves the development of numerical solutions by ANSYS to predict strength. The developed numerical solution determines the accuracy of identifying the difference between the experimental and numerical data. The present research on the comparison of experimental and numerical data by ANSYS showed the lowest error percentage, which is acceptable for all the strength properties of concrete.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":null,"pages":null},"PeriodicalIF":6.2,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142422294","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":"ID-UNet: A densely connected UNet architecture for infrared small target segmentation","authors":"","doi":"10.1016/j.aej.2024.09.108","DOIUrl":"10.1016/j.aej.2024.09.108","url":null,"abstract":"<div><div>Existing CNN-based approaches face challenges in effectively and efficiently managing diverse scales of small infrared objects within intricate scenes, primarily as a result of the aggregation effect induced by pooling layers. As a consequence, crucial deep targets may be lost. To tackle this challenge, This research proposes an infrared deep dense connection network, termed ID-UNet. Specifically, this research devises a feature extraction module, named Infrared Small Target Feature Extraction (ISTFE), that is embedded within the ID-UNet architecture to enable cross-layer and continuous interaction between deep high-level and shallow low-level features. Consecutive connections within ISTFE’s fusion facilitate the preservation of semantic information for infrared small targets in deep layers, as well as the resolution information in shallow layers. Additionally, the UNet structure parameters were compressed, reducing the parameters by 81% compared to the traditional UNet configuration. Upon evaluating the proposed technique on three typical public datasets, the results demonstrate that the proposed method surpasses all other methods in segmentation metrics, including Intersection over Union (IoU), normalized IoU (nIoU), and F1 score. The proposed method achieves a double-win between high-precision segmentation and low computation requirements. The code is available from <span><span>https://github.com/AngryWaves/ID-UNet</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":null,"pages":null},"PeriodicalIF":6.2,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421652","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":"Dynamic response-based isogeometric analysis of graphene platelets-reinforced functionally graded triply periodic minimal surface plates supported by Pasternak foundation","authors":"","doi":"10.1016/j.aej.2024.09.071","DOIUrl":"10.1016/j.aej.2024.09.071","url":null,"abstract":"<div><div>Recent progress in additive manufacturing (AM) has transformed how complex bioinspired engineering structures are designed and produced. Nonetheless, these structures present substantial difficulties in mathematical modeling and computational analysis. The main goal of this paper is to develop an effective computational method to predict the dynamic response of graphene platelets (GPLs)-reinforced functionally graded triply periodic minimal surface (FG-TPMS) plates (referred to as GPLR-FG-TPMS plates) supported by PF. To achieve this, we employ TrSDT within the IGA framework for efficiency and accuracy. The study establishes advanced plate models by combining three sheet-based TPMS configurations with three porosity distributions and three GPL distribution variations through the plate thickness. Then, we consider the effects of geometrical parameters, material properties, and BCs on free vibration and the dynamic response of GPLR-FG-TPMS plates supported by PF. The findings greatly improve our understanding of the complex dynamic responses of GPLR-FG-TPMS plates, paving the way for applications in various fields in the future.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":null,"pages":null},"PeriodicalIF":6.2,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421653","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":"Building resilience: A holistic approach for revitalizing existing infrastructure assets","authors":"","doi":"10.1016/j.aej.2024.10.008","DOIUrl":"10.1016/j.aej.2024.10.008","url":null,"abstract":"<div><div>This presented research delves into the challenges and approaches encompassed in allotting available resources for the maintenance and renovation of crucial infrastructure assets, focusing intently on buildings in Old Cairo earmarked for relocation to the new administrative capital, manipulating an integral empirical assessment and advanced modeling techniques. Amidst intensifying imperatives for robust infrastructure against a backdrop of financial constraints and hastened asset deterioration, this study proposes a cutting-edge, thorough approach to fund distribution. The developed approach incorporates asset hierarchy and classification, condition assessment via pilot survey, Markov chain model for degradation anticipation, stakeholder perception analysis through questionnaires for comparative analysis, and constructing an optimization model for fund allocation. The findings unveiled the dire condition of the selected infrastructure assets and the pressing requisite for strategic maintenance and renovation interventions. The developed approach offered a pragmatic evidence-based approach concerning decision-makers, improving resource allocation efficacy and fostering urban development schemes. This paper calls for protractible presented methodologies to a broad spectrum of assets and geographies and integrating incipient technologies for dynamic asset management approaches.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":null,"pages":null},"PeriodicalIF":6.2,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421721","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":"Blockchain-assisted improved interval type-2 fuzzy deep learning-based attack detection on internet of things driven consumer electronics","authors":"","doi":"10.1016/j.aej.2024.09.117","DOIUrl":"10.1016/j.aej.2024.09.117","url":null,"abstract":"<div><div>The Internet of Things (IoTs) revolutionizes the consumer electronics landscape by presenting a degree of personalization and interactivity that was previously unimaginable. Interconnected devices are now familiar with user characteristics, giving custom skills that improve the user's satisfaction. Still, IoT remains to transform the consumer electronics field; security in IoT becomes critical, and it is utilized by cyber attackers to pose risks to public safety, compromise data privacy, gain unauthorized access, and even disrupt operations. Robust security measures are crucial for maintaining trust in the proliferation and adoption of interconnected technologies, mitigating those risks, protecting sensitive data, and certifying the integrity of the IoT ecosystem. An intrusion detection system (IDS) is paramount in IoT security, as it dynamically monitors device behaviours and network traffic to detect and mitigate any possible cyber threats. Using machine learning (ML) methods and anomaly detection algorithms, IDS can rapidly identify abnormal activities, unauthorized access, or malicious behaviours within the IoT ecosystem, thus preserving the integrity of interconnected devices and networks, safeguarding sensitive data, and protecting against cyber-attacks. This work presents an Improved Crayfish Optimization Algorithm with Interval Type-2 Fuzzy Deep Learning (ICOA-IT2FDL) technique for Intrusion Detection on IoT infrastructure. The main intention of the ICOA-IT2FDL technique is to utilize a hyperparameter-tuned improved deep learning (DL) method for intrusion detection, thereby improving safety in the IoT infrastructure. BC technology can be used to accomplish security among consumer electronics. The ICOA-IT2FDL technique employs a linear scaling normalization (LSN) approach for data normalization. In addition, features are selected using an improved crayfish optimization algorithm (ICOA). This is followed by the ICOA-IT2FDL technique, which applies the interval type-2 fuzzy deep belief network (IT2-FDBN) model to identify intrusions. Finally, the bald eagle search (BES) model strategy improves the intrusion recognition rate. A series of investigations is accomplished to ensure the enhanced accomplishment of the ICOA-IT2FDL model. The experimentation results specified that the ICOA-IT2FDL model shows better recognition results compared to recent models.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":null,"pages":null},"PeriodicalIF":6.2,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421725","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":"Efficient virtual machine placement in cloud computing environment using BSO-ANN based hybrid technique","authors":"","doi":"10.1016/j.aej.2024.09.103","DOIUrl":"10.1016/j.aej.2024.09.103","url":null,"abstract":"<div><div>Cloud computing has revolutionized the way businesses and individuals access and utilize computing resources. Efficient virtual machine placement is a critical aspect of optimizing resource utilization, reducing operational costs, energy consumption, service level agreement and minimum virtual machine migrations, execution time, and ensuring the overall performance of cloud services. This manuscript introduces a novel approach that combines the creative problem-solving capabilities of brainstorming with the computational power of Artificial Neural Networks (ANN) to address the virtual machine placement problem in cloud environments. In this study, we propose a hybrid technique that leverages the collective intelligence of human brainstorming to generate a diverse set of placement strategies. These strategies are then evaluated, refined, and optimized using an ANN model trained on historical cloud resource allocation workload logs. By integrating the human creative process with the data-driven predictive capabilities of ANN, our approach aims to overcome the limitations of traditional virtual machine placement algorithms, which often struggle to adapt to dynamic workloads and changing resource requirements. The manuscript provides a detailed description of the hybrid technique, including the process of brainstorming for generating placement strategies, data collection and preprocessing, ANN model development, and the integration of these components into an efficient placement system. We present experimental results demonstrating the effectiveness of our approach in optimizing resource allocation, improving service performance, and optimizing resource utilization, reducing energy consumption, service level agreement and minimum virtual machine migrations, reducing execution time compared to existing static, and meta-heuristic methods. The proposed Brain Storming with ANN based Hybrid Technique offers a promising solution for enhancing the efficiency of virtual machine placement in cloud computing environments. BSO-ANN outperforms the existing techniques using performance metrics (energy consumption(Kwh), execution time(ms), SLA violations, and number of migrations). It combines human ingenuity with data-driven insights to adapt to the ever-changing dynamics of cloud workloads. This manuscript contributes to the ongoing research in cloud resource management, offering a practical approach for cloud service providers and organizations to better utilize their resources and enhance the overall quality of cloud-based services. © 2012 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Global Science and Technology Forum Pte Ltd.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":null,"pages":null},"PeriodicalIF":6.2,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421724","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":"Study on applicability of parallel perforated ventilation subgrade to the runway in frozen soil regions","authors":"","doi":"10.1016/j.aej.2024.09.093","DOIUrl":"10.1016/j.aej.2024.09.093","url":null,"abstract":"<div><div>To maintain the stability of temperature and displacement of runway in frozen soil regions and ensure the safety of the aircraft taking off and landing, the runway with the parallel perforated ventilation subgrade is proposed. The numerical model of runway is established and verified by comparing with the air velocity field, temperature field, and displacement field in previous studies. Results show the parallel perforated ventilation subgrade is suitable for runway in frozen soil regions, and effectively reduce temperature and maintain stability of runway. The displacement of runway decreases rapidly after the subgrade is cooled by the parallel perforated ventilation for the first year, and tends to a fluctuated range of −2.5–0 mm after the tenth year. The maximum thawing settlement of runway appears on December 20th every year. The displacement of runway is increasing from the center of pavement to the natural surface, and the lateral inhomogeneous displacement between pavement and natural surface increases year by year. The annual maximum displacement in the center of pavement decreases rapidly in the first five years, then decreases slowly, and tends to fluctuate steadily after the seventeenth year. This study provides technical support for the design and construction, operation and maintenance of runway.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":null,"pages":null},"PeriodicalIF":6.2,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421723","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":"Determination of naringin and neohesperidin in \"Quzhiqiao\" (Immature fruit of Citrus paradisi 'Changshan Huyou') using graphene-based molecularly imprinted technology","authors":"","doi":"10.1016/j.aej.2024.10.020","DOIUrl":"10.1016/j.aej.2024.10.020","url":null,"abstract":"<div><div>A sensitive and selective molecularly imprinted polymer-graphene oxide (MIP@GO) electrochemical sensor was fabricated for the determination of naringin and neohesperidin in \"Quzhiqiao\" (immature fruit of <em>Citrus paradisi</em> 'Changshan Huyou'). The MIP@GO was prepared by electropolymerization using naringin and neohesperidin as templates. Under optimized conditions, the sensor exhibited linear ranges of 0.1–50 μM for naringin and 0.2–60 μM for neohesperidin, with low detection limits of 0.03 μM and 0.05 μM, respectively. The imprinting factors for naringin and neohesperidin were 3.8 and 2.5, respectively. The sensor demonstrated excellent selectivity, reproducibility (RSD &lt; 3.6 %), stability (&gt;94.5 % retention after 30 days), and reusability (&gt;92.8 % retention after 10 cycles). The MIP@GO sensor was successfully applied to Fructus aurantii samples, with recoveries ranging from 95.5 % to 104.2 %. This work presents a rapid, cost-effective, and highly sensitive approach for the quality control of Quzhiqiao and related citrus products.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":null,"pages":null},"PeriodicalIF":6.2,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421719","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":"Measurement and modeling of excess pore-water pressure in warm saturated frozen soil based on dynamic loading effect","authors":"","doi":"10.1016/j.aej.2024.10.007","DOIUrl":"10.1016/j.aej.2024.10.007","url":null,"abstract":"<div><div>Measuring pore-water pressure (PWP) in frozen soils poses significant challenges in geotechnical testing experiments, and understanding PWP is crucial for unraveling the mechanism of frost heave generation in cold regions. This paper aims to clarify the development pattern of PWP in frozen soil through laboratory tests, specifically focusing on excess PWP generated under dynamic loading. Seven sets of triaxial tests were conducted to investigate the variations in excess PWP and deformation influenced by temperature, dynamic stress amplitude, and dry density. The results reveal that excess PWP in warm saturated frozen soil undergoes two stages: pore pressure increase and dissipation. The change of external factors mainly affects the peak value of excess PWP and the change rate of excess PWP. Unlike unfrozen soil, excess PWP has a small dissipation rate after the peak and may remain dynamically stable in the later stage of loading. In addition, two empirical models of excess PWP applicable to saturated frozen soils were proposed based on the developmental patterns of excess PWP in frozen soils, and the feasibility was validated using the results obtained from laboratory tests. The model is of great significance for predicting the development of excess PWP in frozen soil under dynamic load.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":null,"pages":null},"PeriodicalIF":6.2,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421722","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}