Results in Engineering最新文献

{"title":"Comparative analysis and optimizing of PV-wind-battery microgrid based on various metaheuristic algorithms","authors":"Eman M. Hosny ,&nbsp;M. Sami Soliman ,&nbsp;Hala M. Abdel Mageed ,&nbsp;Mohamed Mahmoud Samy ,&nbsp;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}

{"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 ,&nbsp;Naadhira Seedat ,&nbsp;Kapil Moothi ,&nbsp;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 &gt; 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}

{"title":"Comprehensive performance assessment of state-of-the-art metaheuristic algorithms for multi-scenario reservoir flood control optimization","authors":"Wen-chuan Wang,&nbsp;Wei-can Tian,&nbsp;Hongfei Zang,&nbsp;Xu-tong Zhang","doi":"10.1016/j.rineng.2025.107132","DOIUrl":"10.1016/j.rineng.2025.107132","url":null,"abstract":"<div><div>Flooding is one of the most destructive natural disasters in the world, posing a serious threat to socio-economic and livelihood security. With the intensification of climate change, the frequent occurrence of extreme flood events not only highlights the challenges of reservoir flood control scheduling in terms of accuracy, timeliness, and multi-scenario adaptability but also exacerbates the urgent need for effective flood control solutions. Although traditional optimization methods, such as dynamic programming and linear programming, are widely used in reservoir scheduling, they often face the problems of dimensionality disaster and insufficient processing capacity constraints when dealing with complex constraints and diverse scenarios, which make it difficult to meet the actual needs. In recent years, metaheuristic algorithms have gradually become an important tool for solving such problems due to their excellent global search capability, high robustness, and wide adaptability. However, there are still obvious gaps in current research in terms of the complexity of algorithmic improvement, the singularity of evaluation scenarios, and the diversity of algorithmic performance comparison. Aiming to fill these gaps, this study explores in-depth algorithm selection and evaluation frameworks through systematic innovations. We construct a comprehensive evaluation system containing nine meta-heuristic algorithms, covering both the classical Differential Evolution (DE), Particle Swarm Optimization (PSO), Whale Optimization Algorithm (WOA), and Teaching-Learning-Based Optimization (TLBO), as well as more recently introduced algorithms such as the Art of War Optimizer (AOW), Bald Eagle Search Algorithm (BES), Gold Rush Optimization (GRO), Marine Predators Algorithm (MPA), and Red Kite Optimization Algorithm (ROA). These novel algorithms show strong competitiveness in performance, with the advantages of fast convergence, efficient solutions to large-scale problems, and low time cost, but their application potential in the field of reservoir flood control and scheduling has not been fully explored. In addition, we designed a multi-dimensional evaluation scenario covering short-term single-reservoir flood control scheduling, long-term single-reservoir flood control scheduling, and complex reservoir group joint scheduling to comprehensively examine the adaptive ability of the algorithm in different flood scenarios. We established a comprehensive evaluation system, which not only focuses on the traditional scheduling results and computational efficiency but also introduces in-depth evaluation indexes such as objective function value, convergence ability, and population diversity, and applies three statistical methods, namely, Wilcoxon signed-rank test, Friedman's test, and Nemenyi post hoc test, to ensure that the evaluation results are scientific and reliable. Finally, this study pays special attention to the uncertainty factors in the scheduling pro","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107132"},"PeriodicalIF":7.9,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145020860","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}

{"title":"Effects of milling followed by different gradation sizes of lawrencepur sand on the properties of cementitious mortar","authors":"Hafiz Muhammad Shahzad Aslam ,&nbsp;Hafiz Muhammad Usman Aslam ,&nbsp;Kennedy C. Onyelowe ,&nbsp;Sadaf Noshin ,&nbsp;Mazhar Yasin ,&nbsp;Atteq Ur Rehman ,&nbsp;Muhammad Waseem Yaseen ,&nbsp;Abid Latif ,&nbsp;Viroon Kamchoom ,&nbsp;Krishna Prakash Arunachalam","doi":"10.1016/j.rineng.2025.107151","DOIUrl":"10.1016/j.rineng.2025.107151","url":null,"abstract":"<div><div>The swift rise of urbanization and industrialization has severely depleted natural sand resources and escalated industrial waste accumulation. Environmental damage from over-dredging and limited disposal space has driven researchers to seek alternative solutions. In Lahore, Punjab, Pakistan, coarse pit sand is predominantly used, and overly fine sands from the Ravi and Chenab rivers, which do not meet ASTM <span><span>grading</span><svg><path></path></svg></span> standards. In this research, Lawrencepur Sand was milled, and its effects on the sand’s physical properties and the mortar’s mechanical performance were evaluated. For this, comprehensive experimental investigations were conducted, and the mechanical properties of the mortar were assessed at 3, 7, and 28 days. From the experiment, it is clear that milling refines the physical properties of sand by decreasing size, fineness modulus (FM), and absorption, while increasing density and specific gravity, which enhances mortar performance. Milled sand improved mortar density (3.1–11.5 %), compressive strength (10.6–71.4 %), and flexural strength (13.5–48 %), while reducing water absorption by 9–34 %. Excessive milling reduced strength and increased water absorption. SPSS analysis confirmed that milled sand significantly improved mortar performance, with strong statistical validation (<em>p</em> &lt; 0.001). Scanning Electron Microscopy <strong>(</strong>SEM) and X-ray Diffraction (XRD) analysis also confirmed microstructural densification of mortar by milling, and over-milling led to a decline in performance due to poor packing.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107151"},"PeriodicalIF":7.9,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145027621","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}

{"title":"Two dimensional chaotic mapping zebra optimization algorithm in polar coordinate system for debutanizer column feature selection and prediction model","authors":"Yi-Peng Shang-Guan,&nbsp;Jie-Sheng Wang,&nbsp;Yu-Feng Sun,&nbsp;Yi-Xuan Li,&nbsp;Bing Yan","doi":"10.1016/j.rineng.2025.107127","DOIUrl":"10.1016/j.rineng.2025.107127","url":null,"abstract":"<div><div>Soft-sensor technology predicts quality variables hard for hard instruments to measure directly, but input variables have redundancy. Thus, feature selection is needed to reduce data dimensionality and improve prediction accuracy. Aiming at data feature selection and prediction model solution in debutanizer column production, a two-dimensional chaotic mapping zebra optimization algorithm (ZOA) in polar coordinate system is proposed. Firstly, coupled and uncoupled polar coordinate two-dimensional chaotic convergence factors are designed to optimize foraging stage for dynamic balance of exploitation and exploration. Then, the position information of attacked individuals and a sinusoidal increment term are introduced to improve the defense stage, avoiding blind search and breaking the limitation of the original algorithm’s declining late-stage search capability. In experiments, input feature signals are first decomposed by CEEMDAN, then the improved ZOA selects the optimal feature subset for prediction. Simulation experiments include three parts: the first two determine optimal variants ZOA-cρ2 and ZOA-ucρ2 via CEC2022 test functions; the last compares the proposed algorithm with other intelligent optimization algorithms on the debutanizer column dataset. Results show that compared with predictions using only original input features, the prediction results of the feature subset selected by ZOA-cρ2 decrease by 99.86 %, 96.24 % and 96.26 % in MSE, RMSE and MAE, respectively, and increase by 84.63 % in R², proving ZOA-cρ2 has great advantages in solving feature selection and prediction model tasks.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107127"},"PeriodicalIF":7.9,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145046904","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}

{"title":"Quantum-safe mutual authentication scheme for IoHT using blockchain","authors":"Arman Ahmad,&nbsp;Jagatheswari Srirangan","doi":"10.1016/j.rineng.2025.106945","DOIUrl":"10.1016/j.rineng.2025.106945","url":null,"abstract":"<div><div>The Internet of Health Things (IoHT) has revolutionized healthcare by enabling seamless communication and interaction among medical devices. However, it faces critical security challenges, including threats to sensitive medical data and the vulnerability of traditional cryptographic methods to quantum computing. To address these issues, we propose a novel quantum-safe mutual authentication scheme utilizing a module lattice-based blockchain architecture. The proposed method ensures secure and decentralized interactions among healthcare participants, including doctors, patients, and cloud servers, while safeguarding data integrity and privacy against quantum threats. Formal security analysis using the Real-Or-Random (ROR) model, ProVerif tool and informal assessments confirm its resistance to diverse attacks, such as man-in-the-middle, replay, and stolen device attacks. Performance evaluations reveal significant reductions in average latency, with a decrease from 31.7 seconds to 9.1 seconds across iterations, a 62% increase in computation throughput, and an improvement in transaction processing efficiency by 36%. Additionally, the framework enhances data throughput by 40%, demonstrating its effectiveness for secure, efficient, and quantum-safe IoHT systems.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 106945"},"PeriodicalIF":7.9,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145020757","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}

{"title":"Material performance analysis in frontal collision simulation of electric vehicle frames using explicit dynamic finite element analysis method","authors":"Aldias Bahatmaka ,&nbsp;Achmad Yanuar Maulana ,&nbsp;Mukhlis Amin ,&nbsp;Fajar Rizqi Sandi Pratama ,&nbsp;Aditya Rio Prabowo ,&nbsp;Deni Fajar Fitriyana ,&nbsp;Hyun A Seo ,&nbsp;Hwicheol Ju ,&nbsp;Joung Hyung Cho","doi":"10.1016/j.rineng.2025.107130","DOIUrl":"10.1016/j.rineng.2025.107130","url":null,"abstract":"<div><div>Crash testing, a crucial method for evaluating the strength of vehicle frame structures, plays a significant role in developing safer designs. This approach enables manufacturers to identify necessary design improvements by analyzing the performance of materials and structures. Material reliability enhances passenger safety and minimizes losses from structural failure under operational loads. While extensive research has been conducted on crash testing for passenger cars, limited studies have focused on comparing different materials for vehicle frames. Addressing this gap, this study compares two materials, carbon steel (ASTM <span><span>A36</span><svg><path></path></svg></span>) and high-strength aluminum alloy (Al-7075T6), to assess passenger safety during a collision. The study uses Finite Element Analysis (FEA) with ANSYS software to simulate crashes. The results indicate that ASTM <span><span>A36</span><svg><path></path></svg></span> exhibits higher stress values and lower safety factors, making it more vulnerable to permanent deformation and structural failure. In contrast, Al-7075T6 absorbs impact more effectively with a lower stress value and higher safety factor, making it the superior choice for electric vehicle frames. This material enhances safety and contributes to weight reduction, improving energy efficiency. Future research will focus on optimizing structural design to minimize deformation and stress while improving the safety factor, particularly in high-stress bending areas.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107130"},"PeriodicalIF":7.9,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145027534","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}

{"title":"A simple wave separation method for Split Hopkinson Bar experiments using linear encoders","authors":"Tomáš Fíla,&nbsp;Jan Falta,&nbsp;Radim Dvořák","doi":"10.1016/j.rineng.2025.106980","DOIUrl":"10.1016/j.rineng.2025.106980","url":null,"abstract":"<div><div>The Split Hopkinson bar is a well-established instrument for testing material properties at high strain rates. Despite its popularity, the method has limitations due to its measurement principle, which involves the propagation of the strain wave in elastic slender bars. A key limitation is the superposition of strain waves, which primarily limits the maximum duration of experiments. To address this, wave separation (or wave deconvolution) techniques have been developed to separate overlapping strain waves. However, existing methods often involve complex algorithms, wave dispersion issues requiring an analytical model of the bar's material, or expensive experimental equipment. This paper introduces a simple wave separation technique using linear magnetic encoders as velocity sensors in a Split Hopkinson bar. The approach relies on solving wave propagation equations at a single point, using velocity signals from the linear encoder and strain data from a conventional strain-gauge. The method offers several advantages, including simplicity in instrumentation and calculation, suppression of wave dispersion effects, easy implementation, and cost-effective sensors. We validate the method through numerical simulations with a custom finite element code, analyzing error sources and their impact. Experimentally, we demonstrate the principle using void tests (experiments without a specimen) and compare the results with the conventional strain-gauge method. The technique is further applied to various Split Hopkinson bar systems and materials, including compression, tension, and cellular materials. The results are promising, with good performance within the application range of the method. The paper concludes with a discussion of its advantages and limitations.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 106980"},"PeriodicalIF":7.9,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145027536","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}

{"title":"Comparative degradation of amido black 10B and Bismarck brown by electro-Fenton process. Comprehensive electrochemical study and degradation pathway of amido black 10B","authors":"Mohammad Mehdi Hashemi-Mashouf ,&nbsp;Davood Nematollahi ,&nbsp;Muhammad Alaei","doi":"10.1016/j.rineng.2025.107150","DOIUrl":"10.1016/j.rineng.2025.107150","url":null,"abstract":"<div><div>This study has two important objectives: first, to comprehensively investigate the electrochemical behavior of <strong>AMB</strong> and second, to evaluate the performance of the electro-Fenton/electrocoagulation (EF-EC) process for the removal of <strong>AMB</strong> and Bismarck brown (<strong>BIS</strong>) dyes from the environment. The complex electrochemical behavior of <strong>AMB</strong> has made researchers reluctant to investigate it. Therefore, examined the cyclic voltammetric behavior of <strong>AMB</strong> over a wide pH range and reported important data on the highly diverse redox processes of this extraordinary molecule that had not been previously reported in any database. Briefly, <strong>AMB</strong> is reduced in three steps, two of which involve the reduction of the azo groups and the third step involves the reduction of the nitro group. We also reported a three-component Pourbaix diagram for <strong>AMB</strong> reduction with all its details. <strong>AMB</strong> is oxidized in a two-electron step at pHs 〈 10 and in two one-electron steps at pHs 〉 10. At all pHs, the oxidized molecule is highly reactive and decomposes rapidly. The degradation of <strong>AMB</strong> and <strong>BIS</strong> was carried out through the EF-EC process and an efficient, green, and economical method for the almost complete removal of <strong>AMB</strong> and <strong>BIS</strong> dyes was proposed. Central composite design (CCD) was used to optimize variables such as current density, initial dye concentration, and initial hydrogen peroxide concentration. The results show that this method can remove <strong>AMB</strong> and <strong>BIS</strong> in aqueous solutions up to 99.3 % and 99.5 %, respectively. We also presented a very comprehensive mechanism for <strong>AMB</strong> degradation. In <strong>AMB</strong> degradation, due to the presence of many functional groups in the <strong>AMB</strong> structure, a large number of intermediates are formed, which we have identified using voltammetric data as well as LC-MS results.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107150"},"PeriodicalIF":7.9,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145027623","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}

{"title":"Analytical design of scroll rotor with varying tooth-wall thickness and its mechanical investigation concerning deformation and stress on the tooth wall","authors":"Achmad Arifin ,&nbsp;Yu-Ren Wu ,&nbsp;Beni Tri Sasongko ,&nbsp;Aulia Majid","doi":"10.1016/j.rineng.2025.107131","DOIUrl":"10.1016/j.rineng.2025.107131","url":null,"abstract":"<div><div>The scroll rotor compressor is renowned for its efficiency, low vibration, reliability, and durability; however, it requires precise machining and assembly. Hence, studying the geometric design of the scroll rotor is essential to enhance its performance. This study presents an analytical method to optimize scroll rotor design with variable tooth-wall thicknesses, focusing on deformation and stress analysis. Using variable base-circular involute and multi-segment arc correction approaches, a 3D model was developed via a numerical approach and CAD software. The mechanical investigation was analyzed utilizing CFD methods. The results demonstrate that incorporating varying tooth-wall thicknesses into the design enhances efficiency and accuracy. While the modified design reduces the compression ratio, it compensates by minimizing cladding volume and chassis diameter. Consequently, the variable tooth thickness model is entirely practical for obtaining a more compact overall size of the desired scroll rotor. The thicker wall maintains safe stress and deformation levels despite increased pressure and temperature near the discharge port. This compact design achieves effective compression performance, making it suitable for medical oxygen equipment applications.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"28 ","pages":"Article 107131"},"PeriodicalIF":7.9,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145046908","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}