Sheng Li, Yongze He, I.-Hsuan Ho, Li Ma, Wenbo Yang, Changdan Wang
{"title":"Method of Average Vertical Earth Pressure for HFCCTs Based on Differential Settlement","authors":"Sheng Li, Yongze He, I.-Hsuan Ho, Li Ma, Wenbo Yang, Changdan Wang","doi":"10.1007/s13369-024-09223-y","DOIUrl":"https://doi.org/10.1007/s13369-024-09223-y","url":null,"abstract":"<p>This paper presents a modified and simplified calculation method, taking into account the differential settlement between the soil columns surrounding the cut-and-cover. High-filled cut-and-cover tunnels (HFCCT) are usually subjected to high earth pressures above the top of the CCT due to an ultra-high backfill. However, the estimation methods for earth pressure above the top of CCT are ambiguous. Through the theoretical analysis of the average vertical earth pressure (AEP) at the top of the CCT, it is found that an additional earth pressure above the top of the overburden pressure is induced, and the magnitude is related to the differential settlement between interior and exterior soil columns. Thus, through a combined theoretical derivation and numerical analysis, a modified formula is proposed. The results show that the vertical earth pressure increment above the top of CCT can be linearly correlated to the differential settlement. In addition, the correlation needs to be calibrated by considering several effects on sites, such as slope angle, groove-width ratios, cross-sectional shape, and the type of backfill. The change in influencing factors has no effect on the function type of the <i>p</i>−<i>δ</i> fitting curve, but it will affect the coefficient <i>k</i>.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"50 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141522900","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":"Enset ventricosum Fibre-Based Biocomposite Preparation with Wood Apple Shell Particles as a Filler: Effect of Alkali Treatment and Optimization of Composition for Physio-Mechanical Properties","authors":"Maheskumar Ponnuswamy, Thottyeapalayam Palanisamy Sathishkumar, Mayakannan Selvaraju, Venkatesa Prabhu Sundramurthy","doi":"10.1007/s13369-024-09253-6","DOIUrl":"https://doi.org/10.1007/s13369-024-09253-6","url":null,"abstract":"<p>In polymer matrix composites (PMCs), reinforced lignocellulosic fibres are one of the excellent endeavours; doing so eliminates the need for the more commonplace synthetic fibres. In this respect, the fibres from <i>Enset ventricosum</i> (EV), one of the underutilized which have not been studied extensively, were focused to carry out an investigation on PMCs applications using the particles of <i>Limonia acidissima</i> fruit shell powder (LASP) as reinforcing agent. The study set out to evaluate the adeptness of altered LASP and EV plant fibres by 4% NaOH treatment. The results from morphological, physicochemical, XRD, FTIR, and thermal aspects of alkali-treated samples of LASP and EV fibres revealed that the alkali treatment significantly improved the compatibility of biomaterial’ property to utilize the natural fillers in the epoxy–EV fibre composites. The first-degree polynomial model was fitted using the response surface analysis to optimize the impact energy, water absorption, tensile, and flexural strength of reinforced fibre with respect to composition and fibre length. Using RSM numerical model, aforementioned properties were analysed to develop the ideal epoxy–EV fibre composite for attaining a minimal water absorption, a high tensile modulus, flexural strength, and impact energy. Accordingly, 3 mm of fibre length reinforcement with 38.3 wt % of biomaterials loading reinforcement was found to be optimized for idealistic epoxy–EV fibre composite.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"36 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141522898","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":"An Innovative Approach for Enhancing Relay Coordination in Distribution Systems Through Online Adaptive Strategies Utilizing DNN Machine Learning and a Hybrid GA-SQP Framework","authors":"Faraj Al-Bhadely, Aslan İnan","doi":"10.1007/s13369-024-09291-0","DOIUrl":"https://doi.org/10.1007/s13369-024-09291-0","url":null,"abstract":"<p>The present study addresses the issue of varying fault locations within a distribution system, which leads to fluctuations in short-circuit currents and requires the implementation of adaptive protection strategies for network reliability. This paper presents a novel adaptive protection scheme that specifically considers these fault location variations using directional overcurrent relays (DOCRs). Unlike previous research on adaptive protection, which does not adequately account for fault location variations, this method employs deep neural networks (DNNs) for online fault location detection. In the verification process, the effectiveness of the proposed methodologies was assessed by analyzing the time derivative of a trained machine learning model for fault identification. This approach enables the immediate detection of fault locations within the distribution system and facilitates the transmission of the setting group index to activate preset optimal coordination parameter values for the system relays. Crucially, the proposed method ensures that the coordination constraints remain intact across various adaptive settings, relying on precise fault identification through machine learning. The practical significance of this approach lies in its applicability to real-world systems because the proposed solutions and protective settings can be easily implemented using commercially available relays. To evaluate its effectiveness, the adaptive protection scheme was tested on three distribution networks: IEEE 14-Bus, 15-Bus and 30-Bus. The comparative test results highlight that the proposed method significantly improves the speed of the protection system for distribution networks when compared to existing studies, making it a valuable contribution to enhancing network reliability and performance.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"137 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141522897","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":"A Comprehensive Multivariate Wind Speed Forecasting Model Utilizing Deep Learning Neural Networks","authors":"Donglai Wei, Zhongda Tian","doi":"10.1007/s13369-024-09203-2","DOIUrl":"https://doi.org/10.1007/s13369-024-09203-2","url":null,"abstract":"<p>Predicting wind speed accurately is essential for the efficient generation of wind power. To enhance the precision of wind speed forecasting, this paper proposes a multivariate combinatorial model based on a deep learning neural network, which incorporates not only historical wind speed data but also relevant meteorological features. Initially, the feature extraction of meteorological features related to wind speed is first performed using an autoencoder and singular value decomposition. Subsequently, the complementary ensemble empirical mode decomposition and wavelet transform method is utilized to mitigate noise in the wind speed series. Finally, this paper utilizes a gated recurrent unit (GRU) deep learning neural network for predicting the wind speed series. The optimization of the GRU’s four hyperparameters is accomplished through the implementation of the improved gray wolf algorithm. This paper evaluates and validates the predictive performance of the model using two datasets. The experimental results demonstrate that the mean absolute percentage error of the proposed model’s 1-step predictions on the two datasets is 0.7532% and 0.5263%, with corresponding root mean square error values of 0.0283 and 0.0227, respectively. These results indicate a significant improvement over those achieved by other models under comparison.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"37 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141522914","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":"Study on Flow Field Characteristics of Micro-Flow Control Valve Based on Fluid-Thermal-Solid Coupling","authors":"Jianying Li, Chen Peng, Qi Guo, Zhao Wang","doi":"10.1007/s13369-024-09264-3","DOIUrl":"https://doi.org/10.1007/s13369-024-09264-3","url":null,"abstract":"<p>Flow control valve is the basic component of the hydraulic system, and its performance plays a vital role in the working characteristics of the hydraulic system. In this paper, based on the unique structure of a micro-flow regulating valve, in order to prevent the structure between the valve core and the valve sleeve from deforming under the action of throttling temperature rise and flow pressure, the interaction between the valve core and the valve body at the throttling notch will cause flow fluctuation. Establish a three-dimensional model and a flow field model of the micro-control valve. Based on CFD, fluid-heat-solid coupling simulation is used to analyze the deformation of the valve core sleeve caused by flow rate, pressure and throttling temperature rise. The variation and distribution law of the flow field is obtained when the spool works at different angles and pressure differences. It provides a theoretical reference for the structural optimization design and improvement of this type of flow control valve.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"72 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141502291","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":"Research on the Model Construction and Characteristics of Solar Radiation Received by Solar Wing Coupled with Compound Parabolic Concentrator","authors":"Haibo Zhao, Xin Dai, Fei Chen","doi":"10.1007/s13369-024-09278-x","DOIUrl":"https://doi.org/10.1007/s13369-024-09278-x","url":null,"abstract":"<p>Coupling compound parabolic concentrators with solar wings can effectively reduce energy costs. This approach enhances the economic benefits of satellite systems and broadens the application scope of the concentrators. Considering the operational characteristics of solar wings, this paper proposes a truncated design for compound parabolic concentrators. The design integrates real-time data on the sun–earth distance, the sun–satellite positional relationship, and space radiation theory to construct a comprehensive solar radiation reception model. This model is applicable for analyzing and optimizing arbitrary satellite operational orbits. The research demonstrates that the designed concentrator maintains favorable optical efficiency within its retention angles, and its concentrating characteristics are consistent with theoretical predictions. Moreover, within the acceptance half-angle, the uniformity index of the energy flux distribution on the solar wing is approximately 0.54. The numerical values of the theoretical radiation model align closely with simulation results, indicating its accuracy. Notably, the theoretical peak power generation of the solar wing with the proposed concentrator is increased by approximately 87% compared to a conventional solar wing. These findings provide important references for the design and optimization of satellite energy supply systems.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"50 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141522916","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}
Dian-chun Du, Geng-ping Tian, Wei-ming Gong, Daniel Dias
{"title":"Undrained Bearing Capacity and Failure Mechanism of Strip Footings on Slopes Considering Multilayered Soils","authors":"Dian-chun Du, Geng-ping Tian, Wei-ming Gong, Daniel Dias","doi":"10.1007/s13369-024-09271-4","DOIUrl":"https://doi.org/10.1007/s13369-024-09271-4","url":null,"abstract":"<p>Evaluating the bearing capacity of strip footing is a classic problem in geotechnical engineering, which has been investigated by many researchers. As the advancement of technology and urbanization, less and less land area can be available for the construction of facilities, which results in that many buildings must be constructed near slopes. The bearing capacity of strip footing constructed near slopes is usually lower than that on flat land. When the soil strength of slopes is not sufficient to support the external loads, it is often necessary to backfill or reinforces the slopes to make the strength of slope meet application requirements. The discontinuity layout optimization (DLO) method is therefore adopted in this paper to investigate the effects of various factors on bearing capacity and failure mechanism of strip footing on inclined multilayered natural slopes. Two conditions, normal slope and backfilled reinforced slope, are considered in the analysis. In addition, the influence of distance between the strip footing and slope, the number of soil layers, the thickness of the interlayer soil layer and earthquake on the unreinforced slope, and the influence of geosynthetic length and burial depth on the reinforced slopes are investigated. Eventually, the results showed that different factors have different impacts on the slope bearing capacity and failure mechanism.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"31 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141522931","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":"A Novel Cooling System by Surface Corrugation and Nanofluid Utilization for the Performance Improvement of Photovoltaic Module Coupled with Thermoelectric Generator and Efficient Computations by Using Artificial Neural Network-Based Hybrid Scheme","authors":"Fatih Selimefendigil, Damla Okulu, Hakan F. Oztop","doi":"10.1007/s13369-024-09208-x","DOIUrl":"https://doi.org/10.1007/s13369-024-09208-x","url":null,"abstract":"<p>For a photovoltaic module coupled with thermoelectric generator, a unique wavy cooling channel is proposed, and its performance is numerically assessed by using three-dimensional computations. The cooling channel uses nanofluid of alumina–water with various shaped nanoparticles (spherical, cylindrical and brick). Numerical simulations are performed for a range of parameters for the corrugation amplitude (<span>(0 le text {Amp} le 0.1)</span>), wave frequency (<span>(2 le text {Nf} le 16)</span>), nanoparticle loading quantity (<span>(0 le text {SVF} le 0.03)</span>), and nanoparticle shape (spherical, brick, and cylindrical). We analyze the photovoltaic module’s average temperature and temperature uniformity for a variety of parameter variations. When nanofluid and greater channel corrugation amplitudes are utilized, the average panel surface temperature is decreased more. A wavy shape of the cooling channel at the maximum corrugation amplitude yields a cell temperature reduction of 1.88 <span>(^text {o})</span>C, while frequency has little impact on average cell temperature and its uniformity. The best-performing particles are those with cylindrical shapes, and the drop-in average photovoltaic temperature with solid volume fraction is essentially linear. As utilizing cylindrical-shaped particles, the average temperature of corrugated cooling channels decreases by around 1.9 <span>(^text {o})</span>C as compared to flat cooling channels with base fluid at the greatest solid volume fraction. As compared to un-cooled photovoltaic, cell temperature drops by around 43.2 <span>(^text {o})</span>C when employing thermoelectric generator. However, temperature drop value of 59.8 <span>(^text {o})</span>C can be obtained by using thermoelectric generator and nano-enhanced wavy cooling channel utilizing cylindrical-shaped nanoparticles. An hybrid computational strategy for the fully coupled system of photovoltaic with cooling system is provided, which reduces the computational time by a factor of 75.\u0000</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"43 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141522924","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":"Strengthening of Soil Through Microbial Induced Calcite Precipitation Using Acetobacter xylinum","authors":"Pa. Suriya, S. P. Sangeetha","doi":"10.1007/s13369-024-09226-9","DOIUrl":"https://doi.org/10.1007/s13369-024-09226-9","url":null,"abstract":"<p>In recent years, there has been a sharp increase in the research for technology relating to the alteration in the composition and characteristics of soil utilizing innovative enzymatic methods and unique microorganisms. A focus area for research is Microbial Induced Calcite Precipitation (MICP), which involves the use of bacterial cultures for the precipitation of calcite in the soil for enhancement of its geotechnical properties. In this study, with the isolation of novel ureolytic bacteria, soil samples were taken from marine-based ecosystems and processed aseptically. Initially, a total of 23 morphologically distinct colonies of Ureolytic Bacteria-UB (UB1-UB23) were identified for consecutive primary ureolytic activity screening. Subsequently, the morphologically distinct colonies were subjected to urea hydrolysis and eight isolates, namely UB4, UB5, UB6, UB9, UB11, UB16, UB21, and UB23 were selected for secondary screening based on the zone of inhibition. UB21 (7.09 mM/min) showed the maximum specific urease activity, and thus, selected organisms were subjected to molecular identification and found to be Acetobacter xylinum. The organisms were further tuned for a variety of growth factors, such as calcium carbonate molarity, urea concentration, inoculum size, and reaction time, for effective deposit of calcium and improvement of soil quality. The Acetobacter xylinum-treated soil was subjected to UCS analysis to determine the soil strength, and it was found that at the highest soil density, it was evident that Acetobacter xylinum mediated MICP (Microbial Induced Calcite Precipitation) was able to seal voids and creates a revolution in modern day engineering and constructions.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"26 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141522919","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":"System Identification Based on Experimental Technique Using Stability Boundary Locus Method for Linear Fractional Order Systems","authors":"Ali Yüce","doi":"10.1007/s13369-024-09250-9","DOIUrl":"https://doi.org/10.1007/s13369-024-09250-9","url":null,"abstract":"<p>Fractional calculus is an important mathematical tool that is widely used in control systems. It is established in the literature that fractional order models are more accurate and more effective in system modelling. In this study, an alternative and novel technique is proposed to identify the fractional order time-delayed model of an unknown system. The method is based on obtaining the approximate stability boundary locus (SBL) curve of the unknown system by applying three different experimental tests. Three points on the SBL curve are determined by the experimental tests and then the parameters of the fractional order time-delayed model are computed by solving the nonlinear systems of equation. The system model with double fractional order element plus a time delay is obtained using the proposed method. The proposed method is explained through simulations on a twin rotor system. The proposed method is also used in model order reduction calculation of the higher order transfer functions.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"33 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141522922","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}