Results in Engineering最新文献_第8页

Investigation of the mechanical performance of high-RAP WMA mixtures incorporating sasobit and bio-oil rejuvenators 含sasobit和生物油恢复剂的高rap WMA混合物力学性能的研究

IF 7.9

Results in Engineering Pub Date : 2025-09-06 DOI: 10.1016/j.rineng.2025.107141

Mohsin Alizadeh, Pouria Hajikarimi, Ali Khodaii

{"title":"Investigation of the mechanical performance of high-RAP WMA mixtures incorporating sasobit and bio-oil rejuvenators","authors":"Mohsin Alizadeh, Pouria Hajikarimi, Ali Khodaii","doi":"10.1016/j.rineng.2025.107141","DOIUrl":"10.1016/j.rineng.2025.107141","url":null,"abstract":"<div><div>The asphalt pavement industry increasingly emphasizes sustainable practices to reduce environmental impacts and promote efficient resource utilization. This study investigates the combined effects of Warm Mix Asphalt (WMA) technology and high reclaimed asphalt pavement (RAP) contents on the mechanical performance of asphalt mixtures, focusing on low-temperature cracking and fatigue resistance. Seventeen mixtures were evaluated, incorporating RAP at 0 %, 25 %, 50 %, and 75 %, with Sasobit added at 3 % by binder weight and a bio-oil-based rejuvenator (BOB) introduced at dosages of 2.5 %, 6 %, and 10 % of RAP binder content. Experimental analyses included rotational viscosity measurements, Semi-Circular Bending (SCB) tests at −12 °C, and incremental repeated load permanent deformation (iRLPD) tests at 25 °C. Results showed that increasing RAP content progressively reduced fracture energy, with an approximate 15–25 % decrease per 25 % RAP increment. The 75 % RAP mixture exhibited a 65 % reduction in fracture energy compared to the virgin control. The 50 % RAP mixture with 3 % Sasobit and 6 % BOB provided the most favorable balance, achieving fracture toughness of 0.966 MPa·m<sup>0.5</sup> and fracture energy of 512.72 J/m², and improving fatigue resistance by 60 % relative to its non-rejuvenated counterpart. Over-dosage of BOB (10 %) destabilized the binder system and reduced performance. ANOVA identified RAP as the dominant factor for energy-based indices and fatigue, with Sasobit and BOB exerting mixture-specific effects, particularly on toughness. Regression analysis showed strong correlations between SCB-derived parameters and iRLPD fatigue index within the tested dataset; a degree-2 polynomial achieved R² ≈ 0.998, but these relationships were mixture-dependent and require validation before broader use. Overall, optimized additive strategies (3 % Sasobit + 6 % BOB) enable balanced performance at 50 % RAP, while 75 % RAP mixtures remained the most susceptible to fracture and fatigue.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107141"},"PeriodicalIF":7.9,"publicationDate":"2025-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145027618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Friction and Wear behaviors of epoxy resin reinforced with carbonized bamboo flour sliding against 52,100 steels 碳化竹粉增强环氧树脂对52,100钢的摩擦磨损行为

IF 7.9

Results in Engineering Pub Date : 2025-09-06 DOI: 10.1016/j.rineng.2025.107152

Zhiguo Liu, Xiangqi Miao, Bocheng Zhu, Zhanning Li, Jiamin Zhu, Zhengfeng Jia, Meng Liu, Jinming Zhen, Ran Zhang

{"title":"Friction and Wear behaviors of epoxy resin reinforced with carbonized bamboo flour sliding against 52,100 steels","authors":"Zhiguo Liu, Xiangqi Miao, Bocheng Zhu, Zhanning Li, Jiamin Zhu, Zhengfeng Jia, Meng Liu, Jinming Zhen, Ran Zhang","doi":"10.1016/j.rineng.2025.107152","DOIUrl":"10.1016/j.rineng.2025.107152","url":null,"abstract":"<div><div>Waste biomass materials, including rice husks, bamboo, and others, possess many advantages containing renewability, low-cost and eco-friendship, and directly burning of these biomass materials will result in environmental pollution. To reuse waste biomass as fillers in polymers for enhancing their tribological properties, bamboo powder was carbonized at high temperature. Subsequently, composites based on carbonized bamboo flour (CBF) and epoxy acrylate (EP) were synthesized via photopolymerization. The wear and friction behaviors of carbonized bamboo flour/epoxy resin-based composites sliding against 52,100 steels was investigated. The wear rate of the composites containing 2.0 wt.% modified CBFs was approximately 5.2 × 10⁻³ mm³/Nm, which decrease by 37.5 % compared to that of EP disc. Furthermore, the wear rate of the CBF/EP composite was slightly lower than that of the graphene oxide (GO)/EP composite. The superior tribological properties of the CBF/EP composite can be attributed to the enhanced hardness, elastic modulus, hardness-to-elastic modulus ratio, and failure stress of the composite. The transfer films formed on the worn surface of steel balls effectively mitigates direct contact between the sliding pairs, thereby substantially enhancing the tribological performance of the composite.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107152"},"PeriodicalIF":7.9,"publicationDate":"2025-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145047551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Novel dynamic temporal interaction and feature synthesis framework for enhanced solar power forecasting 增强太阳能发电预测的新型动态时间交互和特征综合框架

IF 7.9

Results in Engineering Pub Date : 2025-09-05 DOI: 10.1016/j.rineng.2025.107140

Mazhar Baloch , Mohamed Shaik Honnurvali , Adnan Kabbani , Touqeer Ahmed , Farrukh Hafeez , Muhammad Hamid

{"title":"Novel dynamic temporal interaction and feature synthesis framework for enhanced solar power forecasting","authors":"Mazhar Baloch , Mohamed Shaik Honnurvali , Adnan Kabbani , Touqeer Ahmed , Farrukh Hafeez , Muhammad Hamid","doi":"10.1016/j.rineng.2025.107140","DOIUrl":"10.1016/j.rineng.2025.107140","url":null,"abstract":"<div><div>Solar power forecasting is essential to optimize energy production and maintain a stable power grid operation. However, traditional forecasting methods often struggle either due to ineffective data preprocessing or due to a poor feature extraction and selection process, resulting in reduced accuracy. To address the mentioned issues, this research work introduces a novel Dynamic Temporal Interaction and Feature Synthesis (DTIFS) solar power-forecasting framework. The proposed framework utilizes advanced feature engineering techniques such as interaction terms, polynomial transformations, lagged features, and categorical binning to improve prediction accuracy significantly. A detailed exploratory data analysis (EDA) is conducted, and an intelligent feature engineering process is carried out on the acquired dataset, which led to a significant improvement in the model’s prediction accuracy. To assess the performance of the developed framework, several Machine Learning (ML) and Deep learning (DL) models are applied and tested based on several well-known performance evaluation metrics such as mean absolute error (MAE), root mean square error (RMSE) and R². It was found that the Random Forest (RF) model had an MAE of 15.32, an RMSE of 17.90, and an R² of 0.95 without the proposed framework. However, after applying the novel DTIFS framework, the Multilayer Perceptron (MLP) model outperformed, reaching an MAE of 9.281, RMSE of 12.453, and an R² of 0.98, thus outperforming its competing models under identical operating conditions. This study highlights the crucial role of advanced data transformations in enhancing solar power forecasting models, improving accuracy, and facilitating the integration of renewable energy into the grid. The DTIFS framework demonstrates its effectiveness compared to other advanced models, such as RNN, LSTM, and GAN, positioning it as a promising tool for future solar energy forecasting applications.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107140"},"PeriodicalIF":7.9,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145027159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Eco-engineered spherical MnO2/ZSM-5 zeolite beads for VOC removal through ozone-regenerable adsorption: Preparation, characterization, adsorption experiments and modeling 通过臭氧可再生吸附去除VOC的生态工程球形MnO2/ZSM-5沸石珠：制备、表征、吸附实验和建模

IF 7.9

Results in Engineering Pub Date : 2025-09-05 DOI: 10.1016/j.rineng.2025.107138

Ho Gia Quynh , Le Tu Hieu , Phan Vo Vinh San , Nguyen Van Dung , Tran Thuy Tuyet Mai , Ngo Tran Hoang Duong , Nguyen Quang Long

{"title":"Eco-engineered spherical MnO2/ZSM-5 zeolite beads for VOC removal through ozone-regenerable adsorption: Preparation, characterization, adsorption experiments and modeling","authors":"Ho Gia Quynh , Le Tu Hieu , Phan Vo Vinh San , Nguyen Van Dung , Tran Thuy Tuyet Mai , Ngo Tran Hoang Duong , Nguyen Quang Long","doi":"10.1016/j.rineng.2025.107138","DOIUrl":"10.1016/j.rineng.2025.107138","url":null,"abstract":"<div><div>This study develops a multifunctional zeolite-based adsorbent material with excellent performance in isopropanol (IPA) adsorption and ozone-based regeneration over multiple cycles. To enable industrial application, the material is shaped into mechanically stable beads using alginate as an organic framework and bentonite as an inorganic binder, while MnO₂ is impregnated onto the zeolite to catalyze ozone-driven regeneration. The structural characteristics and properties of the synthesized beads were analyzed using methods such as XRD, SEM, N<sub>2</sub> adsorption-desorption, FTIR and TGA. Through systematic investigation of calcination temperature and zeolite-to-bentonite ratio, the sample labelled Z85B15M3_450, comprising 85% zeolite, 15% bentonite, 3% MnO<sub>2</sub>, and calcined at 450°C, demonstrated the best performance, achieving regeneration efficiency above 95% and adsorption capacity exceeding 0.7 mmol/g after each cycle. This study also incorporated adsorption modeling to examine various factors influencing the VOC adsorption process, including adsorbent mass, IPA concentration, and total gas flow rate. The BDST model was additionally applied to IPA adsorption data, demonstrating effective performance of the process at lower C/C<sub>0</sub> ratios.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107138"},"PeriodicalIF":7.9,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145047240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sustainable solar energy potential using GIS-PVSOL: An integrated technical, economic, environmental and social analysis in Qazvin, Iran 利用GIS-PVSOL的可持续太阳能潜力：伊朗加兹温的综合技术、经济、环境和社会分析

IF 7.9

Results in Engineering Pub Date : 2025-09-05 DOI: 10.1016/j.rineng.2025.107088

Yeganeh Aliabadi , Omid Asgari , Majid Mohammadi , Fatemezahra Ghanbari

{"title":"Sustainable solar energy potential using GIS-PVSOL: An integrated technical, economic, environmental and social analysis in Qazvin, Iran","authors":"Yeganeh Aliabadi , Omid Asgari , Majid Mohammadi , Fatemezahra Ghanbari","doi":"10.1016/j.rineng.2025.107088","DOIUrl":"10.1016/j.rineng.2025.107088","url":null,"abstract":"<div><div>Population growth and economic development have significantly increased global energy demand. Solar energy offers a pathway to sustainable development, but geographical challenges can hinder its efficiency. This research proposes a method to identify suitable sites for large-scale photovoltaic (PV) power plants in Qazvin province, Iran, utilizing Geographic Information System (GIS) techniques and multi-criteria decision-making approaches. Twenty factors across five criteria (environmental, physiographical, legal, technical, economical, and climatic) were analyzed to minimize costs and environmental impacts while maximizing power output. Key innovations include a comprehensive framework for assessing the geographic, technical, economic, environmental, and social potentials of the PV system. For the first time, power generation from PV technology was evaluated using PVSOL software integrated with GIS and Best-Worst Method (BWM). A 5 MW PV power plant was modeled for technical analysis, while social, economic, and environmental impacts were evaluated using structured questionnaires, economic models, and SimaPro software. Results show Qazvin has significant solar PV potential, with 5,855 km² (38.34%) classified as highly suitable. The internal rate of return (IRR) and net present value (NPV) are 14% and $3,887,710, respectively, confirming the system's cost-effectiveness. Additionally, the life cycle assessment indicates that the assembly phase has the greatest environmental impact. The current research findings highlight the viability of large-scale PV deployment in Qazvin and provide valuable insights to inform future energy planning and policy decisions aimed at sustainable regional development.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107088"},"PeriodicalIF":7.9,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145047552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design, implementation, and RFSoC-based validation of a multi-path RF front-end for wideband spectrum analysis 设计，实现和基于rfsoc的多路径射频前端的宽带频谱分析验证

IF 7.9

Results in Engineering Pub Date : 2025-09-05 DOI: 10.1016/j.rineng.2025.106967

Gergo Kovacs , Raluca Nelega , Alexandru Oprea , Botond Kirei , Emanoil Surducan , Vasile Surducan , Romulus Valeriu Flaviu Turcu , Emanuel Puschita

{"title":"Design, implementation, and RFSoC-based validation of a multi-path RF front-end for wideband spectrum analysis","authors":"Gergo Kovacs , Raluca Nelega , Alexandru Oprea , Botond Kirei , Emanoil Surducan , Vasile Surducan , Romulus Valeriu Flaviu Turcu , Emanuel Puschita","doi":"10.1016/j.rineng.2025.106967","DOIUrl":"10.1016/j.rineng.2025.106967","url":null,"abstract":"<div><div>This paper presents the design, implementation, and validation of a scalable multi-path radio frequency (RF) front-end engineered to extend the spectral analysis capabilities of SDR-class systems. The architecture features five individually filtered reception paths and a tunable local oscillator (LO), supporting both direct sampling and frequency down-conversion to enable clean acquisition across the 10 MHz–8 GHz range. A simulation-guided methodology was employed using a custom harmonic-aware simulation framework that models harmonic distortion and aliasing behavior to inform optimal LO selection and filter planning. The front-end was realized with high-performance discrete components, with each path tailored to ensure spectral isolation and alias-free operation under nonlinear conditions. Comprehensive experimental characterization was performed through three dedicated measurement setups and three independent acquisition sets. Key metrics include insertion loss (11–26 dB), noise figure (13–39 dB), 1 dB compression point (up to 12.8 dBm), and third-order linearity, with OIP3 values reaching 30 dBm and IIP3 exceeding 45 dBm. Group delay was directly measured with 10 MHz resolution and remained confined within 10–15 ns with sub-nanosecond variation. All measurements were obtained using calibrated, high-precision RF instrumentation to ensure traceability and consistency. Functional validation was conducted through real-time integration with a RealDigital RFSoC 4x2 board, confirming full-band signal acquisition and frequency translation across all reception paths. The discrete-component architecture ensures replicability, transparency, and design flexibility, making it well suited for advanced spectrum monitoring, cognitive radio systems, and reconfigurable SDR platforms requiring wideband, low-distortion, and high-dynamic-range RF front-ends.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 106967"},"PeriodicalIF":7.9,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145020765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Failure mechanism and safety assessment method of buried RC pipelines under rockfall impact 落石冲击下埋地钢筋混凝土管道破坏机理及安全性评价方法

IF 7.9

Results in Engineering Pub Date : 2025-09-05 DOI: 10.1016/j.rineng.2025.107133

Shiwei PENG , Nan JIANG , Yongsheng JIA , Yingkang YAO , Feng YANG , Guopeng LYU

{"title":"Failure mechanism and safety assessment method of buried RC pipelines under rockfall impact","authors":"Shiwei PENG , Nan JIANG , Yongsheng JIA , Yingkang YAO , Feng YANG , Guopeng LYU","doi":"10.1016/j.rineng.2025.107133","DOIUrl":"10.1016/j.rineng.2025.107133","url":null,"abstract":"<div><div>China's South-to-North Water Diversion Middle Route project (SNWDP) crosses a geologically vulnerable transition zone between the nation's second and third topographic terraces, where elevation differentials exacerbate slope instability and rockfall hazards. Buried reinforced concrete (RC) pipelines in this area face structural risks when rockfall impact energy surpasses the load-bearing capacity of the pipe-soil system, yet critical knowledge gaps remain regarding impact thresholds and dynamic response mechanisms. Through integrated full-scale field experiments and ANSYS/LS-DYNA simulations, this study systematically investigates (1) dynamic response patterns and (2) safety thresholds for RC pipelines subjected to rockfall impacts. Field testing revealed two key phenomena: localized residual stresses develop in soil near impact zones, while horizontal-dominated soil vibrations induce circumferential strain concentration in pipeline mid-sections. Numerical modeling further uncovered diameter-dependent mechanical responses: peak particle velocities concentrate at pipe waists, whereas maximum principal strains and stresses localize at crown and invert positions, respectively. By correlating tensile stress criteria with energy-impact relationships, we established critical collapse thresholds for Groove-and-Tongue (GT) RC pipelines (90–135 cm inner diameters) under rockfall impacts ranging from 0.1 to 1 m³. These validated safety parameters, expressed as maximum allowable drop heights, provides actionable guidelines for the safety rating of buried pipelines in topographically complex areas.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107133"},"PeriodicalIF":7.9,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145046905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Blockwise Statistical Analysis and Processing of Large Images 大图像的块统计分析与处理

IF 7.9

Results in Engineering Pub Date : 2025-09-05 DOI: 10.1016/j.rineng.2025.107137

Ali Fadhil Abduljabbar , Ghuson S. Abed , Ahmad H. Sabry

{"title":"Blockwise Statistical Analysis and Processing of Large Images","authors":"Ali Fadhil Abduljabbar , Ghuson S. Abed , Ahmad H. Sabry","doi":"10.1016/j.rineng.2025.107137","DOIUrl":"10.1016/j.rineng.2025.107137","url":null,"abstract":"<div><div>This study introduces a novel and efficient method for large-scale image processing by integrating statistical analysis with a blockwise framework. Our approach addresses the fundamental memory and computational limitations of traditional image processing techniques by dividing the image into smaller blocks, thereby enabling the analysis of datasets that exceed available memory. Our method's core innovation lies in a two-phase algorithmic design that efficiently computes global image statistics and consistently applies them to each block. To validate this approach, we developed a MATLAB-based model and performed a comprehensive quantitative and visual comparison against traditional and state-of-the-art alternatives. The experimental results demonstrated the superior performance of our proposed method, achieving a peak signal-to-noise ratio (PSNR) of 24.248 and a structural similarity index (SSIM) of 0.754. These metrics significantly surpassed those of a hierarchical pyramid method (PSNR: 18.434, SSIM: 0.539) and a simple local tiling approach (PSNR: 12.415, SSIM: 0.681). Furthermore, our method proved to be exceptionally efficient, with a low execution time and minimal memory usage, validating its scalability for large-scale datasets. This study provides valuable insights into the application of blockwise statistical analysis, offering a robust and practical solution for researchers and professionals in fields such as remote sensing, medical imaging, and computer vision. Our findings contribute to the advancement of image processing methods for handling the ever-growing size of modern image collections.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107137"},"PeriodicalIF":7.9,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145047513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparative analysis and optimizing of PV-wind-battery microgrid based on various metaheuristic algorithms 基于各种元启发式算法的光伏-风力电池微电网对比分析与优化

IF 7.9

Results in Engineering Pub Date : 2025-09-05 DOI: 10.1016/j.rineng.2025.107145

Eman M. Hosny , M. Sami Soliman , Hala M. Abdel Mageed , Mohamed Mahmoud Samy , Almoataz Y. Abdelaziz

{"title":"Comparative analysis and optimizing of PV-wind-battery microgrid based on various metaheuristic algorithms","authors":"Eman M. Hosny , M. Sami Soliman , Hala M. Abdel Mageed , Mohamed Mahmoud Samy , Almoataz Y. Abdelaziz","doi":"10.1016/j.rineng.2025.107145","DOIUrl":"10.1016/j.rineng.2025.107145","url":null,"abstract":"<div><div>Developing efficient and inexpensive hybrid microgrids for distant regions presents considerable problems stemming from the intermittent characteristics of renewable energy sources, intricate system integration, and the necessity for a dependable and affordable energy supply. This paper presents a simulation model for a hybrid microgrid that integrates photovoltaic (PV) and wind energy with battery storage, focusing on optimizing system efficiency, dependability, and reducing energy costs. Innovative optimization methods, including the Political Optimization Algorithm (POA), Artificial Electric Field Algorithm (AEFA), Particle Swarm Optimization (PSO), Shuffled Frog Leaping Algorithm (SFLA), and a hybrid PSO-SFLA algorithm, are utilized to ascertain the ideal microgrid architecture. The model employs real-time meteorological data from Zawiet El-Awama village in Matruh, Egypt, representing the inaugural implementation of such a system in this isolated area. A thorough statistical study assesses the efficacy of these optimization strategies, utilizing MATLAB software for simulation and validation of the results. The hybrid PSO-SFLA algorithm exhibits superior performance relative to existing approaches, providing improved convergence speed, solution accuracy, and cost-effectiveness, hence presenting a potential strategy for sustainable microgrid design in remote regions.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107145"},"PeriodicalIF":7.9,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145020758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Artificial intelligence-assisted modelling of heavy metal adsorption using cellulose-based and bio-waste adsorbents: A focus on ANN and ANFIS architectures 基于纤维素和生物废物吸附剂的重金属吸附的人工智能辅助建模：关注ANN和ANFIS架构

IF 7.9

Results in Engineering Pub Date : 2025-09-05 DOI: 10.1016/j.rineng.2025.107147

Binu Kumari , Naadhira Seedat , Kapil Moothi , Rishen Roopchund

{"title":"Artificial intelligence-assisted modelling of heavy metal adsorption using cellulose-based and bio-waste adsorbents: A focus on ANN and ANFIS architectures","authors":"Binu Kumari , Naadhira Seedat , Kapil Moothi , Rishen Roopchund","doi":"10.1016/j.rineng.2025.107147","DOIUrl":"10.1016/j.rineng.2025.107147","url":null,"abstract":"<div><div>This review explores the application of artificial intelligence (AI) models, specifically artificial neural networks (ANN) and adaptive neuro-fuzzy inference systems (ANFIS), in predicting heavy metal adsorption performance using bio-based adsorbents. Focus is placed on sustainable materials such as cellulose nanocrystals (CNCs), agricultural waste-derived biochar, and microbial biomass. The review compiles more than 60 studies over the past decade, analysing model structures, input-output variables, training algorithms, and validation strategies. Performance metrics reveal that most ANN models achieve R² > 0.98, with NARX-ANN reaching as high as 0.9998 in time-resolved batch adsorption simulations. ANFIS models offer added interpretability through fuzzy rule extraction, though their adoption remains limited. Optimization techniques such as particle swarm optimization (PSO) and genetic algorithms (GA) improved RMSE by 5–15%.Comparative evaluation shows variability in model generalization depending on input complexity and adsorbent type. Despite promising results, the review identifies gaps in dataset standardization, model validation, and real-world applicability under multicomponent or noisy conditions. The novelty of this review lies in its cross-comparative benchmarking of ANN and ANFIS architectures applied specifically to bio-adsorbents, and its recommendations for engineering-grade AI deployment in environmental remediation systems. Future research should incorporate deep learning, sensor integration, and regulatory-informed optimization to enhance model robustness and scalability in wastewater treatment applications.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107147"},"PeriodicalIF":7.9,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145107057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0