Arabian Journal for Science and Engineering最新文献_第10页

Predictive Insights from Machine Learning-Assisted Laser-Induced Breakdown Spectroscopy of Lanthanum Substituted Bismuth Ferrite 机器学习辅助激光诱导镧取代铋铁氧体击穿光谱的预测见解

IF 2.9 4区综合性期刊

Arabian Journal for Science and Engineering Pub Date : 2025-02-05 DOI: 10.1007/s13369-025-09977-z

Ishfaq Ahmed, Muhammad Faheem, Saqib Shabbir, Gulzar Hussain, Fahad Rehman, Hafeez Anwar, Yasir Jamil

{"title":"Predictive Insights from Machine Learning-Assisted Laser-Induced Breakdown Spectroscopy of Lanthanum Substituted Bismuth Ferrite","authors":"Ishfaq Ahmed, Muhammad Faheem, Saqib Shabbir, Gulzar Hussain, Fahad Rehman, Hafeez Anwar, Yasir Jamil","doi":"10.1007/s13369-025-09977-z","DOIUrl":"10.1007/s13369-025-09977-z","url":null,"abstract":"<div><p>The co-precipitation technique successfully synthesized lanthanum (La<sup>3</sup>⁺) substituted bismuth ferrites (BiFeO₃ or BFO) with chemical formula Bi<sub>1−<i>x</i></sub>La<sub><i>x</i></sub>FeO<sub>3</sub> (0.0 ≤ <i>x</i> ≤ 0.075). X-ray diffraction analysis unveiled a rhombohedral distorted perovskite structure for BiFeO₃ with space group R3c. Notably, an increase in La<sup>3</sup>⁺ concentration correlated with a rise in the average crystallite size, from 16 to 41 nm. The scanning electron microscopy images depicted a non-uniform spherical morphology. Fourier transform infrared spectroscopy confirmed the perovskite structure of BiFeO₃, with metal-oxide bonds evident in the wavenumber range of 492–538 cm⁻<sup>1</sup>. UV–visible spectroscopy revealed a reduction in the energy band gap from 3.17 to 2.77 eV as the concentration of La<sup>3</sup>⁺ increased. The LIBS analysis identified the presence of bismuth (Bi), iron (Fe), and lanthanum (La) in the samples. To validate the local thermodynamic equilibrium, the McWhirter criteria were utilized. Employing principal component analysis alongside LIBS spectra proved effective in classifying materials with minimal concentration variations. The proposed ML models for LIBS spectroscopic data are principal components analysis, discriminant analysis (DA), support vector machines, and neural networks. DA showed better performance as compared to other models. Our results align with the experimental findings, affirming the credibility of the model.</p></div>","PeriodicalId":54354,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"50 18","pages":"15187 - 15202"},"PeriodicalIF":2.9,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145037270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Efficient Semi-blind Watermarking Technique Based on ACM and DWT for Mitigating Integrity Attacks 基于ACM和DWT的有效半盲水印技术缓解完整性攻击

IF 2.9 4区综合性期刊

Arabian Journal for Science and Engineering Pub Date : 2025-02-05 DOI: 10.1007/s13369-025-09992-0

Brahim Ferik, Lakhdar Laimeche, Abdallah Meraoumia, Abdelkader Laouid, Muath AlShaikh, Khaled Chait, Mohammad Hammoudeh

{"title":"An Efficient Semi-blind Watermarking Technique Based on ACM and DWT for Mitigating Integrity Attacks","authors":"Brahim Ferik, Lakhdar Laimeche, Abdallah Meraoumia, Abdelkader Laouid, Muath AlShaikh, Khaled Chait, Mohammad Hammoudeh","doi":"10.1007/s13369-025-09992-0","DOIUrl":"10.1007/s13369-025-09992-0","url":null,"abstract":"<div><p>Digital watermarking is an essential technology in multimedia and information processing, addressing the ever-mounting concerns related to data integrity and protecting intellectual property rights. In content authentication, copyright protection, and data integrity, digital watermarking plays a critical role. Nonetheless, the current application of digital watermarking faces crucial challenges, most notably adversarial attacks such as compression and noise interference, which pose substantial threats to the integrity of embedded watermarks. In this article, we introduce a semi-blind watermarking scheme that fuses the capabilities of the ACM and DWT techniques to facilitate the efficient embedding and extraction of watermarks in digital images. This approach achieves a trade-off between robustness and imperceptibility, thereby ensuring that the embedded watermark remains resilient against commonplace attacks, all while preserving the visual quality of the image. Experimental results prove the effectiveness of the proposed scheme in terms of watermark invisibility and its robustness against common attacks, including compression, noise addition, and filtering. Our watermarking technique maintains imperceptibility, achieving an average PSNR of 53.95 dB and an SSIM of 0.99996. In computation complexity and resource allocation terms, the experiments prove that our proposed watermarking demands fewer computational resources, with embedding and extraction times clocking in at an astonishingly swift 0.01218 s and 0.006875 s, respectively.</p></div>","PeriodicalId":54354,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"50 19","pages":"15885 - 15905"},"PeriodicalIF":2.9,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145210470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SPR-YOLO: A Traffic Flow Detection Algorithm for Fuzzy Scenarios SPR-YOLO：一种基于模糊场景的交通流检测算法

IF 2.9 4区综合性期刊

Arabian Journal for Science and Engineering Pub Date : 2025-02-04 DOI: 10.1007/s13369-025-09997-9

Hulin Liu, Yongjie Ma, Hui Jiang, Tiansong Hong

{"title":"SPR-YOLO: A Traffic Flow Detection Algorithm for Fuzzy Scenarios","authors":"Hulin Liu, Yongjie Ma, Hui Jiang, Tiansong Hong","doi":"10.1007/s13369-025-09997-9","DOIUrl":"10.1007/s13369-025-09997-9","url":null,"abstract":"<div><p>Efficient and highly accurate traffic vehicle detection plays a crucial role in intelligent transport. However, in ambiguous scenes such as night and rainy days, factors such as noise interference and low resolution often limit the detection effect. Therefore, this paper proposes a lightweight network architecture for fuzzy scenarios, SPR-YOLO. The model is based on YOLOv8, the backbone and neck modules of the lightweight network are redesigned, and SPD_Conv is adopted to mine deeper semantic information to face the feature extraction in fuzzy scenarios. Task. In order to further enhance the feature aggregation ability of the model, we propose the SECA attention module, which improves the model’s ability to focus on the information in both channel and spatial dimensions for better extraction of semantic features. In addition, in order to achieve high fine-grained fusion effects even in low-resolution and blurred scenes, we propose the DY_GELAN aggregation network to achieve high-fidelity fusion and low-parameter balancing, which further enhances the network’s ability to express deep information. Finally, we use ByteTracker for vehicle tracking and a target statistics method with customized regions to achieve traffic flow detection in fuzzy scenarios. The network is trained and evaluated on the UA-DETRAC dataset. The results show that the parameters of the proposed network architecture are basically at the same level as YOLOv8, but the mAP50 and FPS are improved by 6.4% and 7.68%, respectively. Compared with other mainstream models, the proposed model effectively balances the advantages of lightweight, efficiency and high accuracy.</p></div>","PeriodicalId":54354,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"50 19","pages":"15843 - 15856"},"PeriodicalIF":2.9,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145210791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Synthesis of Exfoliated Graphitic Carbon Nitride (g-C3N4) for Tetracycline Hydrochloride (TCH) Degradation: Photocatalytic Efficiency and Mechanisms 脱片状石墨化氮化碳（g-C3N4）降解盐酸四环素的合成：光催化效率及机理

IF 2.9 4区综合性期刊

Arabian Journal for Science and Engineering Pub Date : 2025-02-04 DOI: 10.1007/s13369-025-09995-x

Dhruti Sundar Pattanayak, Chandrakant Thakur, Dharm Pal

{"title":"Synthesis of Exfoliated Graphitic Carbon Nitride (g-C3N4) for Tetracycline Hydrochloride (TCH) Degradation: Photocatalytic Efficiency and Mechanisms","authors":"Dhruti Sundar Pattanayak, Chandrakant Thakur, Dharm Pal","doi":"10.1007/s13369-025-09995-x","DOIUrl":"10.1007/s13369-025-09995-x","url":null,"abstract":"<div><p>The article highlights the effectiveness and simplicity of thermally exfoliated graphitic carbon nitride (g-C<sub>3</sub>N<sub>4</sub>) for the degradation of tetracycline hydrochloride (TCH) in the presence of solar light. The study investigates the thermal exfoliation of g-C<sub>3</sub>N<sub>4</sub> derived from thiourea at five distinct temperatures (450, 475, 500, 525, and 550 °C). Various characterization techniques, including X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), photoluminescence (PL), scanning electron microscope (SEM), energy-dispersive X-ray spectroscopy (EDS), and Brunauer–Emmett–Teller (BET) analysis, were employed to analyze the materials’ shape, composition, crystallinity, and inherent photoresponsive qualities. With a catalyst dosage of 0.4 g/L, approximately 71% of TCH (initial concentration of 10 mg/L) was degraded after 60 min of direct sunlight exposure. The findings revealed that TOC elimination was 69% with 10 mg/L of TCH for 60 min, which corresponds to the degradation results. The degradation followed pseudo-first-order kinetics, with a rate constant of 0.020 min⁻<sup>1</sup> (R<sup>2</sup> = 0.997). Superoxide radicals <span>(O_{2}^{ - cdot })</span> were identified as the primary reactive species responsible for TCH degradation through scavenging agent trapping tests. The catalyst demonstrated excellent stability over five reuse cycles, indicating its potential for environmental applications.</p></div>","PeriodicalId":54354,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"50 13","pages":"10039 - 10050"},"PeriodicalIF":2.9,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Three-Dimensional Discrete Element Modeling for the Angle of Repose of Granular Materials: Artificial Intelligence and Machine Learning Approach 颗粒材料休止角的三维离散元建模：人工智能和机器学习方法

IF 2.9 4区综合性期刊

Arabian Journal for Science and Engineering Pub Date : 2025-02-04 DOI: 10.1007/s13369-024-09942-2

Yassir Mubarak Hussein Mustafa, Hamzah M. B. Al-Hashemi, Omar Saeed Baghabra Al-Amoudi, Omar Hamdi Jasim

{"title":"Three-Dimensional Discrete Element Modeling for the Angle of Repose of Granular Materials: Artificial Intelligence and Machine Learning Approach","authors":"Yassir Mubarak Hussein Mustafa, Hamzah M. B. Al-Hashemi, Omar Saeed Baghabra Al-Amoudi, Omar Hamdi Jasim","doi":"10.1007/s13369-024-09942-2","DOIUrl":"10.1007/s13369-024-09942-2","url":null,"abstract":"<div><p>This research studies the calibration of contact parameters for Johnson-Kendall-Roberts (JKR) model using machine learning (ML) algorithms. Multiple linear regression (MLR), support vector regression (SVR), decision trees (DT), and extreme gradient boost (XGBoost) were used. The angle of repose (AoR) of granular piles was measured, and a DEM model was built to simulate the experiment. After calibration, the model was used to generate a database that was used to train the ML algorithms. All algorithms exhibited high coefficients of determination (<i>R</i><sup>2</sup>) and low errors. Additionally, the study discussed the effect of the different features on the accuracy of the models and presented a feature importance analysis for the different ML algorithms. Finally, a simplified method was suggested to calibrate the contact parameters using the XGboost method. The method was able to estimate the contact parameters that resulted in accurately determining the AoR of a selected sandy soil.</p></div>","PeriodicalId":54354,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"50 11","pages":"8663 - 8686"},"PeriodicalIF":2.9,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145161776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Ensemble Machine Learning Approach for Detecting and Classifying Malware Attacks on Mobile Devices 基于集成机器学习的移动设备恶意软件攻击检测与分类方法

IF 2.9 4区综合性期刊

Arabian Journal for Science and Engineering Pub Date : 2025-02-04 DOI: 10.1007/s13369-025-10011-5

Eiman Alsharif, Maher Alharby

{"title":"An Ensemble Machine Learning Approach for Detecting and Classifying Malware Attacks on Mobile Devices","authors":"Eiman Alsharif, Maher Alharby","doi":"10.1007/s13369-025-10011-5","DOIUrl":"10.1007/s13369-025-10011-5","url":null,"abstract":"<div><p>The widespread use of mobile devices makes them targets for cybercriminals, especially with the rise of malware. Existing malware detection studies have limitations. These include focusing on subsets of datasets, using single classification approaches, and lacking usability in practical applications. This research develops a stacking ensemble method for detecting and classifying malware attacks on Android devices, employing supervised machine learning algorithms like Random Forest, Decision Tree, Gaussian Naive Bayes, K-Nearest Neighbors, and Logistic Regression. Using the CIC-AndMal2017 dataset, we apply data preprocessing techniques to address missing data and data imbalance. We employ various feature selection methods, including Random Forest Importance, Principal Component Analysis, and Correlation-Based Selection, to help reduce data dimensionality. We also utilize a grid search technique for hyperparameter tuning. We assess model performance using evaluation metrics, including accuracy, precision, recall, and F1 score. Additionally, we measure training and prediction times to ensure efficiency. The stacking technique achieved remarkable results, with 99.86% across all metrics (accuracy, precision, recall, and F1 score) for binary classification. For multi-class classification, the results were 97.0% accuracy, 97.03% precision, 97.07% recall, and 97.03% F1 score. Finally, we develop a user-friendly web application to enhance the accessibility and usability of the proposed models in detecting Android malware, ensuring broader adoption and practical application of the developed models.</p></div>","PeriodicalId":54354,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"50 19","pages":"15825 - 15841"},"PeriodicalIF":2.9,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145210790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring the Sustainability Benefits of Digital Twin Technology in Achieving Resilient Smart Cities During Strong Earthquake Events 探索数字孪生技术在实现强震韧性智慧城市中的可持续性效益

IF 2.9 4区综合性期刊

Arabian Journal for Science and Engineering Pub Date : 2025-02-03 DOI: 10.1007/s13369-025-10017-z

Ahed Habib, Maan Habib, Bashar Bashir, Hussein Bachir

{"title":"Exploring the Sustainability Benefits of Digital Twin Technology in Achieving Resilient Smart Cities During Strong Earthquake Events","authors":"Ahed Habib, Maan Habib, Bashar Bashir, Hussein Bachir","doi":"10.1007/s13369-025-10017-z","DOIUrl":"10.1007/s13369-025-10017-z","url":null,"abstract":"<div><p>In recent years, the increasing frequency and intensity of earthquakes have highlighted the need for resilient urban planning, particularly in the context of smart cities. Despite advancements in technology and infrastructure, there remains a significant gap in understanding and effectively adopting digital twin technology for enhancing urban resilience against such seismic events. This study aims to conduct a critical assessment of using digital twin technology for seismic resilience in smart cities and to perform a systematic sustainability analysis to understand how digital twin technology can be utilized to build resilient smart cities that can better withstand and adapt to strong earthquake events. The research is motivated by the critical need to enhance urban earthquake resilience and the potential of digital twin technology as a transformative tool in urban planning and disaster management. By exploring the implementation of a digital twin model and performing a strengths, weaknesses, opportunities, and threats analysis, the study provides comprehensive insights into the dynamics of urban areas under seismic stress. It leverages real-time data and advanced simulation techniques to assess, predict, and strategize responses to earthquake scenarios, enhancing urban resilience and sustainability. In addition, this research demonstrates how digital twin technology can help in achieving several United Nations sustainable development goals, particularly those related to sustainable cities and communities, industry, innovation, and infrastructure, as well as climate action, which are represented in goals 9, 11, and 13. Ultimately, the study findings highlight the importance of integrating advanced technological solutions, such as digital twins, in urban development strategies to build smarter, more resilient cities capable of withstanding future seismic challenges.</p></div>","PeriodicalId":54354,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"50 20","pages":"16869 - 16883"},"PeriodicalIF":2.9,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145236830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Passive Earth Pressures on Cantilever Retaining Walls Under Non-ultimate State in Narrow Excavation 窄基坑非极限状态下悬臂挡土墙被动土压力分析

IF 2.9 4区综合性期刊

Arabian Journal for Science and Engineering Pub Date : 2025-02-03 DOI: 10.1007/s13369-025-10012-4

Weidong Hu, Sichen Lin, Yongqing Zeng, Xinnian Zhu, Tao Hu

{"title":"Passive Earth Pressures on Cantilever Retaining Walls Under Non-ultimate State in Narrow Excavation","authors":"Weidong Hu, Sichen Lin, Yongqing Zeng, Xinnian Zhu, Tao Hu","doi":"10.1007/s13369-025-10012-4","DOIUrl":"10.1007/s13369-025-10012-4","url":null,"abstract":"<div><p>Current research findings suggest that a narrow excavation's failure surface between adjacent cantilever retaining walls should follow a broken line pattern. The retaining wall rotates around the zero point of displacement and deflects, causing differences in the horizontal displacement along the wall. This leads to partial mobilization of the mechanical strength parameters, soil friction, and wall–soil friction. Evaluating the relationship between these parameters enables us to understand better how the earth pressures vary, and relevant formulas have been proposed. In a narrow foundation pit, the passive zone soil is squeezed by the retaining walls on both sides. Under the influence of wall–soil friction, the principal stress deflects and leads to a soil arching effect. Using this theory, the passive earth pressure coefficient and sliding surface's inclination angle can be derived based on the static equilibrium condition of the sliding wedge in the passive zone. The soil wedge is then divided into three zones, and a lateral pressure calculation model is presented. The level differential layer approach is utilized to obtain the pressure distribution along the retaining wall. Theoretical calculation results indicate that passive earth pressure increases with depth but decreases rapidly when approaching the zero point of displacement (in a non-ultimate state). Above the zero point, the displacement and deformation of a flexible wall lead to a smaller height of non-ultimate area and a more significant increase in pressure in lower soil layers. When comparing cantilever retaining walls with the same displacement and deformation state, those in narrower foundation pits experience greater passive pressure. Overall, the presented theoretical approach of calculating passive earth pressure distribution closely aligns with existing model test results and finite element method solutions.</p></div>","PeriodicalId":54354,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"50 20","pages":"16855 - 16867"},"PeriodicalIF":2.9,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145236828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Stacking Ensemble Algorithm to Predict Re-keying in Group Key Management 群密钥管理中预测重密钥的叠加集成算法

IF 2.9 4区综合性期刊

Arabian Journal for Science and Engineering Pub Date : 2025-02-03 DOI: 10.1007/s13369-025-09985-z

Prity Kumari, Karam Ratan Singh, Ranjan Kumar

引用次数: 0

Microscopic Discrete Element Study of Aggregate Size on Uniaxial Compression Failure Process of Recycled Aggregate Concrete 再生骨料混凝土单轴压缩破坏过程中骨料粒径细观离散元研究

IF 2.9 4区综合性期刊

Arabian Journal for Science and Engineering Pub Date : 2025-02-03 DOI: 10.1007/s13369-025-10007-1

Minmin Li, Wenwu Tan, Mengfei Xu, Gaowei Yue, Yuanyuan Shao

{"title":"Microscopic Discrete Element Study of Aggregate Size on Uniaxial Compression Failure Process of Recycled Aggregate Concrete","authors":"Minmin Li, Wenwu Tan, Mengfei Xu, Gaowei Yue, Yuanyuan Shao","doi":"10.1007/s13369-025-10007-1","DOIUrl":"10.1007/s13369-025-10007-1","url":null,"abstract":"<div><p>As the main component of recycled concrete, aggregate plays the role of skeleton and support, which has a great influence on the performance of recycled aggregate concrete, and the particle size of aggregate is one of the main factors affecting the mechanical properties of recycled aggregate concrete. In order to investigate the influence of aggregate particle size on the uniaxial compressive strength of recycled aggregate concrete, the uniaxial compression model of recycled aggregate concrete under different aggregate particle sizes and aggregate volume proportions was established by using discrete element numerical simulation method, and the mechanical characteristics and crack propagation mechanism of recycled aggregate concrete under uniaxial compression were simulated. The results show that the peak stress and elastic modulus of recycled aggregate concrete increase with the aggregate particle size, and the crack distribution is more uniform when aggregate particle size is 1.5 cm. With the increase of the proportion of large-particle size aggregate, the elastic modulus of recycled aggregate concrete gradually increases, and the peak stress first increases and then decreases. Obviously, the incorporation of moderate particle size coarse aggregate can improve the mechanical properties of the specimen. In the mixed particle size aggregate model, large, medium, and small particle sizes affect the crack generation and propagation of the contact surface, aggregate, and mortar, respectively. In the model with a volume ratio of 1:1:1, the peak strength is the highest and the crack distribution is the most uniform in the three phases.</p></div>","PeriodicalId":54354,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"50 20","pages":"16837 - 16853"},"PeriodicalIF":2.9,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145236829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0