Ali Alnaqbi, Ghazi G. Al-Khateeb, Waleed Zeiada, Eyad Nasr, Muamer Abuzwidah
{"title":"Machine Learning Applications for Predicting Faulting in Jointed Reinforced Concrete Pavement","authors":"Ali Alnaqbi, Ghazi G. Al-Khateeb, Waleed Zeiada, Eyad Nasr, Muamer Abuzwidah","doi":"10.1007/s13369-024-09495-4","DOIUrl":"https://doi.org/10.1007/s13369-024-09495-4","url":null,"abstract":"<p>Faulting predictive models are crucial for maintaining the structural integrity and safety of rigid pavements, ensuring a smooth and durable driving surface. Accurate predictions allow for timely maintenance, reducing long-term costs and extending pavement lifespan. The objective of this study is to advance faulting prediction methodologies for jointed reinforced concrete pavement (JRCP) to bolster pavement longevity and maintenance strategies. Using data from 22 distinct sections under the long-term pavement performance (LTPP) program, encompassing a wide array of climatic scenarios, the research leverages six cutting-edge machine learning algorithms: regression tree (RT), support vector machine (SVM), ensembles, Gaussian process regression (GPR), artificial neural network (ANN), and kernel methods. The methodology includes a detailed statistical analysis and an evaluation of feature significance to dissect the multifaceted interactions among key determinants of pavement performance. The results underscore the efficacy of machine learning in elevating faulting prediction precision. Among the algorithms tested, boosted trees demonstrated the highest accuracy, with a root mean square error (RMSE) of 0.68, a mean squared error (MSE) of 0.46, and an R-squared value of 0.78. The feature importance analysis highlighted that L4 Thickness, pavement age, L3 Type, and initial IRI were the most influential factors in predicting faulting, with importance scores of 0.2266, 0.1862, 0.1638, and 0.1594, respectively. This study demonstrates the significant potential of machine learning models in accurately predicting faulting in JRCP, paving the way for more efficient pavement maintenance and management strategies that can effectively address and mitigate pavement distress.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"44 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194100","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}
Subhankar Saha, T. Arunkumar, Kishore Debnath, Satish Chaurasia
{"title":"Optimization of Kerf Width in WEDM of Sandwich Woven CFRP-An Ensemble Machine Learning Based Approach","authors":"Subhankar Saha, T. Arunkumar, Kishore Debnath, Satish Chaurasia","doi":"10.1007/s13369-024-09526-0","DOIUrl":"https://doi.org/10.1007/s13369-024-09526-0","url":null,"abstract":"<p>Machining CFRP with WEDM is extremely challenging and produces kerf of poor quality. Therefore, the present research venture is intended to improve the kerf quality produced in WEDM of woven CFRP through a machine learning-based metaheuristic algorithm. Two ensemble-based machine learning algorithms i.e., the Random Forest (RF), and Adaptive Boosting algorithm (AdaBoost) have been used to model the kerf width. The performance of RF is found to be superior to AdaBoost in terms of generalization prowess as the box plot corresponding to the predicted KW by RF closely resembles the box plot of experimental KW whereas the box plot corresponding to the predicted KW by AdaBoost has a varying distribution with the box-plot of experimental KW. Furthermore, the kerf width optimization has been conducted using a broad range of optimization techniques from nature-inspired to mathematically driven approaches such as the Moth flame optimizer (MFO), Grey Wolf optimizer, Chimp optimization algorithm, and sine cosine algorithm in an attempt to compare the computational performance of the algorithms. It has been revealed that MFO discovered the minimum KW (global optimum solution) and exhibited rapid convergence as compared to its counterparts. The optimal results are Ton = 26 microsecs, Toff = 50 microsecs, I = 7A, and V = 70 V. Additionally, the proposed optimization's durability has been examined using the traditional desirability approach. The percentage improvement in KW through the proposed optimization as compared to the desirability approach is 5.6%. Lastly, FESEM images are provided for varying process parametric conditions.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"85 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194099","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}
{"title":"CollabAS2: Enhancing Arabic Answer Sentence Selection Using Transformer-Based Collaborative Models","authors":"Asma Aouichat, Ahmed Guessoum","doi":"10.1007/s13369-024-09345-3","DOIUrl":"https://doi.org/10.1007/s13369-024-09345-3","url":null,"abstract":"<p>Accurately identifying pertinent text segments as answers to questions is crucial for optimizing question-answering systems, underscoring the pivotal role of precision in Answer Sentence Selection (AS2) modules. This study introduces an innovative AS2 module design leveraging the AraBERT transformer to encode inputs-one for the question and one for the candidate answer-with the goal of enhancing comprehension of both inputs. Each encoded input is subsequently processed in parallel by a collaborative layer employing two distinct deep learning models: a bidirectional long short-term memory (BiLSTM) and a convolutional neural network (CNN). This collaborative approach forms the AraBERT.Collab-BiLSTM/CNN model. Additionally, extensions to the study include AraBERT.Collab-BiLSTM/AVG, incorporating a BiLSTM and AVG collaboration layer, as well as the use of the AraELECTRA pre-trained model, yielding the AraELECTRA.Collab-BiLSTM/CNN and AraELECTRA.Collab-BiLSTM/AVG configurations. Furthermore, the study investigates Arabic word embedding models as alternatives to pre-trained models, resulting in the WordEmb.Collab-BiLSTM/CNN and WordEmb.Collab-BiLSTM/AVG models. Experimental results on our BARAQA (Big-ARAbic-Question-Answering) dataset and the SemEval Arabic Question-Answering corpus demonstrate that the AraELECTRA.Collab-BiLSTM/CNN model achieves high accuracies of 84.64% and 45.93%, respectively. Moreover, the WordEmb.Collab-BiLSTM/AVG model significantly enhances accuracy to 91.61% and 81.23% on the respective datasets, showcasing the effectiveness of our collaborative techniques. Our proposed architecture represents a substantial improvement over previous models, emphasizing the importance of advanced techniques and collaborative strategies in handling complex language structures and diverse text dependencies. Additionally, the study underscores the performance of Arabic transformer-based encoding and suggests further exploration of transformers and collaborative strategies to bolster AS2 performance.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"36 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194121","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}
{"title":"Enhancing Sustainable Construction Practices: Utilizing Heat-Treated Recycled Concrete Fines for Improving Slag-Based Geopolymer Materials","authors":"Amirouche Berkouche, Ahmed Abderraouf Belkadi, Abdelaziz Hasnaoui, Salima Aggoun, Tarek Chiker, Abdelhak Khechai, Annelise Cousture, Tahar Tayebi","doi":"10.1007/s13369-024-09477-6","DOIUrl":"https://doi.org/10.1007/s13369-024-09477-6","url":null,"abstract":"<p>This study explores the untapped potential of utilizing heat-treated recycled fines (HT-RFs) from mortar as a sustainable and eco-friendly alternative for slag-based geopolymer materials in construction. The RFs undergo a novel heat treatment process at 650 °C to significantly enhance their reactivity. Geopolymer mixtures incorporating both heat-treated and untreated RFs at various replacement ratios (0%, 10%, 20%, and 30%) are meticulously evaluated for their porosity, flexural strength, and compressive strength after 28 days of curing. The load-midspan displacement and failure behavior are analyzed using digital image correlation techniques. The microstructure of the mortar samples is comprehensively analyzed using state-of-the-art techniques including thermogravimetry, scanning electron microscopy, and X-ray diffraction. The results showed that the incorporation of 30% heat-treated recycled fines into slag based geopolymer increased compressive and flexural strengths by 30.67% and 27.31%, respectively, while substantially reducing the porosity by 16%, compared to the control geopolymer mixture. This study promotes sustainability in construction with eco-friendly materials by minimizing waste.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"158 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194103","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}
Yang Li, Qingzhao Kong, Xia Yang, Fugang Zhu, Qiongkai Chen
{"title":"Research on Signal Characteristics of Urban Geological Defects Detected by Soil Stress Waves Excited by Subway","authors":"Yang Li, Qingzhao Kong, Xia Yang, Fugang Zhu, Qiongkai Chen","doi":"10.1007/s13369-024-09515-3","DOIUrl":"https://doi.org/10.1007/s13369-024-09515-3","url":null,"abstract":"<p>Urban road safety is severely threatened by the presence and development of subsurface voids, posing a significant challenge. This study proposes a new approach to tackle the challenge of detecting hidden hollows in urban areas. The approach utilizes geophysical investigations using soil stress waves excited by subway tunnel vibrations to examine void defects in the soil layers above. A shaker excited concrete plates to generate the necessary stress waves required for detecting vacancy defects. The results showed that the amplitude of the stress wave signals in both the time and frequency domain significantly attenuated after passing through void defects. There were significant differences in wave impedance at the boundaries of these voids. Wave field propagation contour maps, obtained using laser Doppler vibrometers (LDVs), visually demonstrated the propagation of soil stress waves at the boundaries of void defects. Reflected waves exhibit increased strength with larger void dimensions, while diffracted waves at the soil’s end weaken. The energy distribution contour maps in the time domain provided an intuitive indication of the presence, horizontal projection position, and size of the void defects. Sensitivity coefficients (<span>(omega)</span>), statistical feature indicators such as root-mean-square deviation coefficients (<span>(RMSD)</span>), and wavelet packet energy ratio deviation coefficients (<span>(E_{RVD})</span>) were established to quantitatively characterize the size of void defects from different perspectives. The preliminary findings of this study have verified the feasibility and scientific validity of utilizing soil stress waves generated by subway vibrations for the detection of void defects.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"13 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194128","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}
{"title":"Determining the Effects of Operational Parameters and Geotechnical Conditions on the Behavior of Soil–Cement Columns Using a Small-Scale Physical Model in Sandy Soil","authors":"Mohsen Sabermahani, Amir Hajisalimi","doi":"10.1007/s13369-024-09511-7","DOIUrl":"https://doi.org/10.1007/s13369-024-09511-7","url":null,"abstract":"<p>The behavior of jet grouting columns is influenced by several operational and geotechnical parameters, but relatively little attention has been paid to the significance of the initial soil moisture content on the columns. In the current study, a small-scale jet grouting device has been used to create 47 small-scale columns in dry and wet (20% moisture content) sand to investigate the effects of the soil moisture content on the diameter, uniaxial compressive strength (UCS), and the treatment efficiency. The columns were constructed using different injection times, rotational speeds of 10 and 25 rpm, and soil relative densities of 5% and 95% to assess the comparative influence of the moisture content on the effectiveness of other parameters. The results demonstrated that the initial soil moisture had the most significant effect on the column diameter. In sand with a 20% moisture content, the column diameter increased an average of 63% and 87% in loose and dense sand, respectively, compared to dry sand. However, an increase in the injection time in wet sand caused a significant decrease in the treatment efficiency. A 60% decrease in the rotational speed from 25 to 10 rpm had a greater effect on increasing the diameter in dry sand than doubling the injection time. The relative density had a much smaller effect on the column diameter created in wet sand than in dry sand. The high cement-to-soil ratio of the columns increased the UCS of the core samples and eliminated the effect of the aforementioned parameters on the UCS.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"25 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194156","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}
{"title":"The Effect of Aging Heat Treatments on Room and High-Temperature Wear Performance of the Inconel 718™ Manufactured by Laser Powder Bed Fusion","authors":"Akay Nevcanoğlu, Bülent Aydemir, H.Özkan Gülsoy","doi":"10.1007/s13369-024-09523-3","DOIUrl":"https://doi.org/10.1007/s13369-024-09523-3","url":null,"abstract":"<p>This paper presents the results of a detailed experimental investigation into the wear properties of laser powder bed fusion samples of Inconel 718 after various aging conditions. There is a gap in the literature on the high-temperature wear properties of Inconel 718. The aging process determines the service life and working conditions of the alloy. This study aims to reveal the effects of various aging heat treatments on the room and high-temperature wear properties of Inconel 718. The aging conditions were selected as non-aged, solution aged (SA), conventionally aged (CA), overaged (OA) and furnace-controlled aged (FCA). Cylindrical samples were machined for 500 m, using a Si<sub>3</sub>N<sub>4</sub> ball at room temperature and 400 °C. The surfaces of the samples were smoothed by turning. FCA was performed in a controlled atmosphere furnace. The heating and cooling rates of FCA were 10 min/°C. Ar was selected as the shielding gas. The rapid cooling stages of SA, CA and OA were performed by quenching in water. FCA refined the microstructure and enhanced the wear resistance. SA resulted in a rigid microstructure, abrasive wear was dominant. EA led to an increase in the Laves phase ratio, which was identified by X-ray diffraction analyses. Optical microscope and scanning electron microscope (SEM) images of the microstructures and worn surfaces were correlated with the microhardness scores to accurately define the wear properties. The precipitations were identified by energy-dispersive X-ray spectrum application that is combined to SEM. The experimental evidence from this work clarified the predominant wear mechanisms due to microstructure and phase evolution. This work provides remarkable information on determining the appropriate aging condition for various applications of Inconel 718 alloy.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"62 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194127","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}
{"title":"Investigation of Structural, Electronic, Optical, and Elastic Properties of Ru-Based Inorganic Halide Perovskites ARuBr3 (A = K, Rb, Cs) via DFT Computations","authors":"Danish Abdullah, Dinesh C. Gupta","doi":"10.1007/s13369-024-09524-2","DOIUrl":"https://doi.org/10.1007/s13369-024-09524-2","url":null,"abstract":"<p>We are prompted to examine KRuBr<sub>3</sub>, RbRuBr<sub>3,</sub> and CsRuBr<sub>3</sub> materials since they are novel and superior semiconductor materials for sustainable energy devices. In this investigation, we adopted approaches based on density functional theory to conduct an extensive computational study of these materials and clarify their diverse features. We implemented the Birch–Murnaghan fit to figure out the structural stability of these materials under scrutiny, and the modified potential of Becke–Johnson has been employed to establish their electronic properties. The KRuBr<sub>3</sub>, RbRuBr<sub>3,</sub> and CsRuBr<sub>3</sub> materials' band-structure data during the evaluation rendered it obvious that these materials exhibit an indirect semiconductor nature, with bandgap values of 1.81 eV, 1.79 eV, and 1.74 eV, respectively. The three critical elastic constants for each of these materials under inquiry were initially determined and these values were subsequently employed to assess every mechanical characteristic of the materials under study. To identify the degree of ductility, the computed Pugh's and Poisson's ratios for the KRuBr<sub>3</sub>, RbRuBr<sub>3,</sub> and CsRuBr<sub>3</sub> materials were confirmed. The bandgap values of the explored materials lie in the range of the visible spectrum reflecting its feasibility for solar cell technology. Also, the highest peaks of absorption coefficient and lowest value of energy loss and reflectivity suggest its importance in photovoltaic applications.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"81 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194130","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}
Muhammad Riaz, Huda Alshammari, Nasir Abbas, Tahir Mahmood
{"title":"Navigating Process Drift: The Power of CUSUM in Monitoring Air Quality Processes and Maintenance Operations","authors":"Muhammad Riaz, Huda Alshammari, Nasir Abbas, Tahir Mahmood","doi":"10.1007/s13369-024-09453-0","DOIUrl":"https://doi.org/10.1007/s13369-024-09453-0","url":null,"abstract":"<p>Nowadays, manufacturers face intense pressure to maintain a high standard of quality. Due to the damage to machine components, manufacturing processes degrade over time, resulting in substandard products. Generally, statistical process control tools such as control charts aid in identifying patterns and trends indicative of process changes. This investigation delves into the effectiveness of cumulative sum control charts using the sample mean and median as plotting statistics. Run-length measurements assess performance after the charts experience linear and quadratic drifts in non-normal setups under zero- and steady-state conditions. The findings reveal that Cumulative Sum (CUSUM) charts outperform zero-state monitoring compared to steady-state monitoring. Notably, the CUSUM chart for the mean is suitable for normal and Gamma distributions, exhibiting a greater ability for drift detection under biased and unbiased Average Run Lengths. This study offers valuable insights into enhancing manufacturing quality through effectively implementing and comparing Shewhart, Exponentially Weighted Moving Average, and CUSUM charts. By evaluating their performance under various conditions and comparing them with other control chart methods, this research provides valuable guidance for industries seeking to improve process monitoring and product quality. It is essential to acknowledge that the findings are based on specific experimental conditions and may not fully capture the complexity of real-world manufacturing environments. For practical purposes, the suggested charts are also applied to real-world case studies, including air quality (focusing on five metal oxide chemistry sensors: carbon monoxide concentration, non-metonic hydrocarbons, benzene, total nitrogen oxides, and nitrogen dioxide) and maintenance data (including air temperature, rotating speed, and equipment failure).</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"25 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194125","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}
Boujemaa Hadj Brahim, Lotfi Dahmani, Mohamed Nasser, Slimen Attyaoui, Aleksandr A. Vorob’ev
{"title":"Thermomechanical Modeling and Numerical Simulation of Orthogonal Turning of 42CrMo4 Steel: Case of Workpiece/Tool Studies","authors":"Boujemaa Hadj Brahim, Lotfi Dahmani, Mohamed Nasser, Slimen Attyaoui, Aleksandr A. Vorob’ev","doi":"10.1007/s13369-024-09394-8","DOIUrl":"https://doi.org/10.1007/s13369-024-09394-8","url":null,"abstract":"<p>Machining of mechanical parts using material removal is one of the most used manufacturing techniques in the industry. This type of machining is a highly coupled thermomechanical process. During machining, the tool/chip interface is the site of complex interactions between mechanical, thermal and metallurgical phenomena. The experimental study remains difficult and expensive because of the multitude of parameters involved in the cutting phenomenon, which makes the use of finite element (FE) simulations an essential approach. In this work, a thermomechanical 2D model of the orthogonal cutting process of 42CrMo4 steel was developed using Abaqus/Explicit. The objective of this work is to study the influence of cutting parameters (feed f and cutting speed Vc) on cutting forces, stress distribution and temperature. A particular interest is given to the temperature and constraints of the cutting tool compared to similar work, particularly for 42CrMo4 steel. Knowing these two answers makes it possible to calculate the wear and thus the service life of the cutting tool. The results show that cutting speed and feed rate have a significant influence on cutting force, stress and temperature in the cutting zone. A comparison of the simulated and experimental results was carried out in terms of cutting force, to verify the accuracy and reliability of the developed simulation model. It was found that the average error on the cutting force is 8.11%, which proves the relevance and reliability of the proposed numerical model.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"35 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194124","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}