Arabian Journal for Science and Engineering最新文献_第5页

Investigation of Bi-functionalized Clay-Superabsorbent Polymer Nanocomposite for Improved Mechanical and Durability Properties of Cementitious Materials 研究双功能粘土-超吸水性聚合物纳米复合材料，以改善水泥基材料的力学性能和耐久性能

IF 2.9 4区综合性期刊

Arabian Journal for Science and Engineering Pub Date : 2024-09-02 DOI: 10.1007/s13369-024-09525-1

V. S. Sujitha, B. Ramesh, Joseph Raj Xavier

{"title":"Investigation of Bi-functionalized Clay-Superabsorbent Polymer Nanocomposite for Improved Mechanical and Durability Properties of Cementitious Materials","authors":"V. S. Sujitha, B. Ramesh, Joseph Raj Xavier","doi":"10.1007/s13369-024-09525-1","DOIUrl":"https://doi.org/10.1007/s13369-024-09525-1","url":null,"abstract":"The impacts of incorporating silane-functionalized halloysite nanoclay (SNC) in sodium polyacrylamide (PA) superabsorbent polymer (SAP) and its reinforcement potential in cementitious materials are carefully investigated. Unlike previous studies, this work uniquely explored the dual functionality of SNC to enhance both the water absorption capacity and mechanical strength of SAPs and, subsequently, its reinforcing effects on cementitious materials. This study comprehensively examines the mechanical and durability characteristics of cement mortar and concrete when a small percentage of SNC/SAP composite is added at 0.2, 0.4, 0.6, and 0.8%. The optimum concentration of SNC/SAP composite in the cement mix was found to significantly improve the hydration of cement, thereby enhancing its mechanical properties and strength by filling the micropores. X-ray diffraction (XRD), thermogravimetric analysis (TGA), transmission electron microscopy (TEM), and scanning electron microscopy (SEM) analyses were carried out to characterize the surface morphology and its influence on cementitious materials. The results indicate that the SNC/SAP cementitious nanocomposite enhances the compressive, flexural, and tensile strengths by up to 54%, 63%, and 67%, respectively, compared to those of conventional mortar specimens at 56 days. Furthermore, shrinkage tests revealed the excellent water-holding capacity of the composite hydrogel, which promoted internal curing and reduced microcrack formation. The findings demonstrate that SNC not only improves the properties of SAP hydrogels but also significantly enhances the mechanical properties and durability of cementitious materials, making it a promising additive for protective cementitious coatings in buildings. This study addresses the critical need for durable, crack-resistant concrete, providing a novel approach to enhancing the longevity and performance of cementitious materials.","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"37 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194095","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

Multi-disciplinary Analysis of Solar-Powered Unmanned Aerial Vehicles for Extended Endurance 太阳能无人飞行器续航能力的多学科分析

IF 2.9 4区综合性期刊

Arabian Journal for Science and Engineering Pub Date : 2024-09-02 DOI: 10.1007/s13369-024-09400-z

Atousa Golmakani, Zoheir Saboohi, Nima Karimi

{"title":"Multi-disciplinary Analysis of Solar-Powered Unmanned Aerial Vehicles for Extended Endurance","authors":"Atousa Golmakani, Zoheir Saboohi, Nima Karimi","doi":"10.1007/s13369-024-09400-z","DOIUrl":"https://doi.org/10.1007/s13369-024-09400-z","url":null,"abstract":"Drones are extensively utilized in numerous critical applications today, necessitating high flight endurance for many tasks. As a result, solar unmanned aerial vehicles (UAVs) have gained considerable attention from researchers. This study presents the design of two UAVs with distinct wing configurations, both equipped with an equal number of solar cells. A numerical approach is employed to model these UAVs and calculate their aerodynamic coefficients. The power required for sustained level flight is determined using established aerodynamic equations. Additionally, solar cells are simulated in MATLAB/Simulink to investigate the impact of solar radiation on cell output power, current, and voltage. Different locations experience varying levels of solar radiation at specific times of the day, depending on their geographical coordinates and date. Consequently, this research examines the flight endurance of solar UAVs based on flight conditions and solar radiation availability in specific locations. In this paper, two different approaches for calculating the endurance parameter were introduced, and the achieved results are compared. Superior aerodynamic performance and a higher lift-to-drag ratio were observed for the UAV with a high AR. It is seen that reducing weight and distributing the same number of cells across the lower wing surface can significantly enhance flight endurance. In the best possible conditions in the considered place and time, the high AR UAV flies for 10 h and the medium AR UAV flies for 11 h.","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"22 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194093","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

Eco-friendly Cadmium Removal Using Novel Modified Clay/Alginate Floatable Beads: A Sustainable Solution for Water Pollution Mitigation 使用新型改性粘土/海藻酸盐浮珠进行生态友好型镉去除：缓解水污染的可持续解决方案

IF 2.9 4区综合性期刊

Arabian Journal for Science and Engineering Pub Date : 2024-09-02 DOI: 10.1007/s13369-024-09513-5

Hajar Abara, Hajar Saadani, Brahim Allaoui, Soukaina Akachar, Mohamed Hadri, Mohammadi Ahrouch, Abdeslam Barhoun, Khalid Draoui

{"title":"Eco-friendly Cadmium Removal Using Novel Modified Clay/Alginate Floatable Beads: A Sustainable Solution for Water Pollution Mitigation","authors":"Hajar Abara, Hajar Saadani, Brahim Allaoui, Soukaina Akachar, Mohamed Hadri, Mohammadi Ahrouch, Abdeslam Barhoun, Khalid Draoui","doi":"10.1007/s13369-024-09513-5","DOIUrl":"https://doi.org/10.1007/s13369-024-09513-5","url":null,"abstract":"Water contamination by heavy metals has become a very alarming issue in all industrialized countries. The present study explores the development of a sustainable and eco-friendly approach to removing cadmium from water sources. A simple method is applied to synthesize floatable beads from a combination of natural clay, alginate, and eco-friendly modifiers, which makes them highly effective at capturing cadmium ions from aqueous solutions. The chemical and physical properties of natural clay (NC) and R-(Clay/Alg@Fe–Ni) composite beads were assessed by several techniques (XRD, BET, FT-IR, SEM, and TGA/DTG). The effects of experimental factors were optimized to maximize the adsorption of Cd (II). Furthermore, the study evaluates the kinetic and equilibrium aspects of cadmium adsorption and assesses the performance of the adsorbents. The results reveal that the adsorption of Cd (II) is most accurately described by the Langmuir and Sips isotherm model and the pseudo-second-order (PSO) kinetic model. These observations imply that the adsorbent's surface exhibits a uniform adsorption behavior, with chemical adsorption primarily governing the adsorption mechanism under optimal conditions. The adsorption capacity (95.7 mg/g) of R-(Clay/Alg@Fe–Ni) is three times greater than that of the unmodified NC, representing an improvement of 64.28%. Inner-sphere complexes involving oxygen-containing functional groups, physical adsorption, ion exchange, and electrostatic interactions were the primary mechanisms for removing Cd (II) ions. Overall, this study indicates that the modified clay/alginate floatable beads exhibit remarkable efficiency in cadmium removal.","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"81 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194094","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

Parametric Optimization of AWJM Using RSM-Grey-TLBO-Based MCDM Approach for Titanium Grade 5 Alloy 使用基于 RSM-Grey-TLBO 的 MCDM 方法对 5 级钛合金的 AWJM 进行参数优化

IF 2.9 4区综合性期刊

Arabian Journal for Science and Engineering Pub Date : 2024-08-31 DOI: 10.1007/s13369-024-09500-w

Amit Kumar Dubey, Yogesh Kumar, Santosh Kumar, Avinash Ravi Raja

{"title":"Parametric Optimization of AWJM Using RSM-Grey-TLBO-Based MCDM Approach for Titanium Grade 5 Alloy","authors":"Amit Kumar Dubey, Yogesh Kumar, Santosh Kumar, Avinash Ravi Raja","doi":"10.1007/s13369-024-09500-w","DOIUrl":"https://doi.org/10.1007/s13369-024-09500-w","url":null,"abstract":"Abrasive water jet machining (AWJM) is an incredibly effective method for processing challenging materials, overcoming the obstacles encountered when working with them. High-pressure water combined with abrasive particles is used to erode and penetrate the workpiece material. Processing titanium grade 5 alloy can be a complex task, but it is possible to efficiently machine it using abrasive water jet machining. The study analyzes the impact of pressure (P), abrasive flow rate (AFRE), stand-off distance (SoD) and traverse speed (TRS). A Taguchi L25 array (orthogonal) was utilized for carrying out the experiments. The best process parameters were identified through response surface methodology in order to reduce processing time (PT) and surface roughness (SR), while increasing hardness (HRC). The results, including processing time, surface roughness, and hardness, were transformed into a composite grade through the application of grey relational analysis. The empirical model was formulated utilizing the teaching–learning-based optimization (TLBO) technique and the best process parameters were investigated using RSM-Grey-TLBO-based multi-criteria decision-making. The RSM-Grey-TLBO MCDM method proposes an optimized configuration for GRG (mean method) with parameters P = 320 MPa, SoD = 4 mm, TRS = 190 m/min, AFRE = 12 g/sec and for the weighted method of GRG with parameters P = 320 MPa, SoD = 8 mm, TRS-150 m/min, AFRE-9 g/sec. The percentage inaccuracies for the forecasted errors are 7.47% and 7.33% in GRG (mean method) and GRG (weighted method), respectively.","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"12 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194104","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

Pseudo-Static Test of Buckling-Restrained Braces Using Friction Energy Consumption 利用摩擦能耗对屈曲约束支撑进行伪静态测试

IF 2.9 4区综合性期刊

Arabian Journal for Science and Engineering Pub Date : 2024-08-31 DOI: 10.1007/s13369-024-09528-y

Yaxiong Liang, Xiaodong Li, Linghui Jiang

{"title":"Pseudo-Static Test of Buckling-Restrained Braces Using Friction Energy Consumption","authors":"Yaxiong Liang, Xiaodong Li, Linghui Jiang","doi":"10.1007/s13369-024-09528-y","DOIUrl":"https://doi.org/10.1007/s13369-024-09528-y","url":null,"abstract":"To achieve a controllable carrying and deformation capacity without needing post-earthquake replacement, this study introduces a novel design for buckling-restrained braces, leveraging friction energy dissipation. The braces comprise four integral components: an inner steel tube, a high-strength compression spring, a friction plate, and an outer steel tube. An axial cyclic loading test conducted on three distinct sets of specimens with varied components investigates the carrying capacity, deformation capacity, and energy dissipation capacity of the buckling-restrained braces. Furthermore, an analysis is performed to assess the influence of the high-strength compression spring and friction plate material on the overall performance of the buckling-restrained braces. The test results demonstrate that, in comparison with the traditional buckling restrained brace, the friction buckling restrained brace exhibits the following advantages: (1) The hysteresis curve of the friction dissipative buckling restrained brace exhibits superior coverage compared to that of the traditional buckling restrained brace; (2) the FBRB demonstrates enhanced load-carrying, deformation, and energy dissipation capabilities compared to the BRB; and (3) the FBRB exhibits a distinctive axial adjustment capacity due to the incorporation of spring members, which can extend the service life of the member. The findings indicate that this type of buckling-restrained brace exhibits an adjustable carrying and deformation capacity, a complete hysteretic curve, and no buckling of the core member under compression. The application of these braces proves effective in significantly reducing the cost of structural rehabilitation post-earthquake.","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"24 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194101","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

Design of a 0.2V 2.08nW 10-bit 1kS/s High Energy Efficiency SAR ADC with Dummy Capacitor Splitting Technique for Biomedical Applications 利用虚拟电容分流技术设计用于生物医学应用的 0.2V 2.08nW 10 位 1kS/s 高能效 SAR ADC

IF 2.9 4区综合性期刊

Arabian Journal for Science and Engineering Pub Date : 2024-08-31 DOI: 10.1007/s13369-024-09459-8

Zahra Mehrabi Moghadam, Mohammad Reza Salehi, Ebrahim Abiri

{"title":"Design of a 0.2V 2.08nW 10-bit 1kS/s High Energy Efficiency SAR ADC with Dummy Capacitor Splitting Technique for Biomedical Applications","authors":"Zahra Mehrabi Moghadam, Mohammad Reza Salehi, Ebrahim Abiri","doi":"10.1007/s13369-024-09459-8","DOIUrl":"https://doi.org/10.1007/s13369-024-09459-8","url":null,"abstract":"This paper presents an ultra-low-voltage 10-bit successive approximation-register analog-to-digital converter (SAR ADC) based on the binary search algorithm for biomedical applications. An energy-efficient DAC switching scheme for a fully differential SAR ADC is proposed, which achieves a 99.8% reduction in DAC switching energy compared to conventional SAR ADC. In this design, by using a dummy capacitor split technique, an attempt has been made to reduce the capacitor of the most significant bit, resulting in a 92.87% reduction in the total number of capacitors compared to conventional design. In the proposed structure, the common-mode voltage of the comparator is approximately constant. The maximum voltage variation in the proposed switching scheme is Vref/2. Additionally, power consumption has been reduced by implementing the power gating technique in the control logic part. The proposed converter with a sampling frequency of 1 kS/s and a supply voltage of 0.2 V has been designed and simulated in TSMC 65nm CMOS technology. Both analytical calculations and simulation results confirm the effectiveness of the proposed switching scheme. Ultimately, the proposed scheme achieves a power consumption of 2.08 nW and a Figure of Merit (FoM) of 5.39 fJ/conversion-step. In comparison with the state-of-the-art, the proposed design has demonstrated excellent performance in achieving optimal power.","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"25 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194102","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

Machine Learning Applications for Predicting Faulting in Jointed Reinforced Concrete Pavement 机器学习在钢筋混凝土接缝路面断层预测中的应用

IF 2.9 4区综合性期刊

Arabian Journal for Science and Engineering Pub Date : 2024-08-31 DOI: 10.1007/s13369-024-09495-4

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":"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.","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}

引用次数: 0

Optimization of Kerf Width in WEDM of Sandwich Woven CFRP-An Ensemble Machine Learning Based Approach 优化夹层编织 CFRP 线切割加工中的切口宽度--一种基于机器学习的集合方法

IF 2.9 4区综合性期刊

Arabian Journal for Science and Engineering Pub Date : 2024-08-31 DOI: 10.1007/s13369-024-09526-0

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":"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.","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}

引用次数: 0

CollabAS2: Enhancing Arabic Answer Sentence Selection Using Transformer-Based Collaborative Models CollabAS2：使用基于变换器的协作模型加强阿拉伯语答案句子选择

IF 2.9 4区综合性期刊

Arabian Journal for Science and Engineering Pub Date : 2024-08-30 DOI: 10.1007/s13369-024-09345-3

Asma Aouichat, Ahmed Guessoum

{"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":"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.","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}

引用次数: 0

Enhancing Sustainable Construction Practices: Utilizing Heat-Treated Recycled Concrete Fines for Improving Slag-Based Geopolymer Materials 加强可持续建筑实践：利用热处理再生混凝土细粉改进矿渣基土工聚合物材料

IF 2.9 4区综合性期刊

Arabian Journal for Science and Engineering Pub Date : 2024-08-29 DOI: 10.1007/s13369-024-09477-6

Amirouche Berkouche, Ahmed Abderraouf Belkadi, Abdelaziz Hasnaoui, Salima Aggoun, Tarek Chiker, Abdelhak Khechai, Annelise Cousture, Tahar Tayebi

{"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":"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.","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}

引用次数: 0