bluuebunny/crossref_metadata_2025_split huggingface dataset:
Static and dynamic performance of different concrete mixtures for the protection of aircraft shelters
Authors: Wagih M , Kamal I M , Soltan A E , Ali M A E M 
Published: December 2023

Abstract
Concrete is the most significant construction material in the world. However, extreme static and dynamic loads placed on infrastructure in recent decades have led to structurally catastrophic disasters. In addition, recent weapons can significantly impact the safety of humans and infrastructures. Newly developed concrete shields are designed to protect against severe loading conditions such as impact loads. Therefore, due to the rapid progress in weapons production, such as projectiles and bombs, there is a critical need to protect aviation buildings and aircraft shelters from such destructive impacts. In this study, the static and dynamic performance of concrete shields produced by nationally available magnetite, hematite, graphite, steel fibers, and steel mesh constituents were evaluated. Test results showed that implementing graphite, hematite, and magnetite powder in concrete shelters’ production slightly decreased the static behaviour of produced mixtures. On the other hand, superior impact resistance was achieved by incorporating steel fibers and steel mesh in aircraft concrete shields.
Structural health monitoring with UAV
Authors: Rezk M Y , Mohamed N H , Nagy N M 
Published: December 2023

Abstract
In recent years, the use of drones to monitor various types of smart constructions has attracted more attention. Unmanned Aerial Vehicles (UAV) have a number of potential benefits over manual methods for Analyzing construction due to their permit scalable, quick, and affordable solutions to tasks that would otherwise be unsuitable for individuals who are subject to fatigue and measurement uncertainty. In order to better understand how drones can be used in dam monitoring and construction for situation assessment, early warning, and image processing, the current study is studying this topics. High resolution Ierial images that captured by UAV is used to detect the cracks in the dam body structure. Drone-shot images are analyzed by using MATLAB software in order to assess the crack in the dam body and make the correct maintenance.The finite element program Geostudio is undertaken to evaluate a complete numerical analysis of the dam to find out the cause of cracks in the dam body and give solutions to prevent these cracks from happening again depending on the outcome results. This study is applied under two cases seismic and static condition. The results of FEM model concluded that cracks starts to appear at slope change point at downstream and in upstream at dam heel during earthquake action. The current work shows that using drones in dam monitoring is a very effective and fast way to detect cracks in the dam body.
Finite element model updating of a plate type structure made of composite material using a network of PZT
Authors: Salem M A M , Kassem M , Amin M S , Farag H M , Osman A 
Published: December 2023

Abstract
Ambient vibrations are one of the most unpredicted, undesired, and uncontrolled destructive causes of sudden failure for many types of structural systems, predominantly those made of FRP thin plates. FRP thin plates may undergo dramatic collapse beneath the periodic ambient loads associated with frequencies, particularly those approaching natural frequencies. Much research has been done over the last few decades to enhance the structural damping behaviour capabilities of thin plates against ambient vibrations via several means and systems of active vibration control. Recent, exceptional advancements in the field of smart materials and their applications in the field of active vibration control have provided a viable alternative to conventional vibration control tools (sensors/actuators). For instance, the coupled properties inherited by PWAS were utilised to develop durable, compact, and efficient actuators/sensors. To minimize the influence of the disparity between the theoretical and actual dynamic structure performances, the numerical FEM has to be updated using real structural data. In the present study, a model update of the structural parameters of a smart beam is carried out by employing PWAS as smart vibration control tools (sensor/actuator) that have been previously installed on the substrate structure. A finite element model is developed to mimic this intelligent beam. Then, laboratory experiments are undertaken to determine system parameters, which are used to update the finite element model. Finally, optimization is done to minimize the FEM variance in the designated structure vibration response from the real one.
Numerical flow field investigation around guide vane of a high head Francis turbine
Authors: Sahu Rohit Kumar , Gandhi Bhupendra Kumar , Sharma Shubham 
Published: December 2023

Abstract
Guide vanes are the most eroded component of the Francis turbine, and flow instabilities around guide vanes influence the flow field at the runner inlet. Guide vane cascade can be considered an alternative method to investigate the flow field, which maintains flow similarity with the prototype turbine. The objective of this paper is to numerically analyze the flow field around the guide vane cascade. A single guide vane cascade numerical model is developed to perform the simulation using commercial software ANSYS 2022. Two turbulence models, shear stress transport k-ω and standard k-ε, perform steady-state simulation at the best efficiency point. The pressure and velocity distribution are obtained at mid-span, and around the pressure and suction sides of the guide vane. Numerical simulation on a scaled prototype full turbine has also been performed to measure the Francis turbine’s torque and efficiency. The modified Bhilangana- III guide vane profile is installed in the B-III hydropower plant in India and taken as a reference Francis turbine. The velocity and pressure distributions obtained around guide vanes of the scaled full turbine are compared with the velocity and pressure distributions of the single guide vane cascade. A difference of 7.25 % in maximum velocity and 9.40 % in maximum pressure at the mid-span of the guide vane is found between the guide vane cascade and scaled full turbine at the best efficiency point. The overall efficiency of the scaled turbine is also measured, and a difference of 0.83 % between the numerical result and scaled hill chart at the best efficiency point was found.
Numerical Investigation of Savonius Hydrokinetic Turbine Having Novel Thick Blades.
Authors: Chaudhari Vimal N. , Shah Samip P. 
Published: December 2023

Abstract
Recently, hydrokinetic energy is playing an important role in the production of green energy. It boasts a minimal ecological footprint and holds significant promise for generating energy on a small scale. Savonius Hydrokinetic Turbine (SHKT) acquires the hydrokinetic energy and converts it into useful energy. It has some specific advantages over other hydrokinetic turbines. Two unique thick blade designs have been utilized to replace the traditional semi-circular blades of the Savonius hydrokinetic turbine, resulting in the creation of two novel variants known as SHKT Design-1 and SHKT Design-2. Numerical investigations are carried out to assess and contrast the performance of SHKT Design-1 and SHKT Design-2 with conventional SHKT, with inlet velocity 0.9 m/s at various tip speed ratios between 0.7 to 1.1. The current study demonstrates that, the performance of SHKT is greater compared to SHKT Design-1 and SHKT Design-2. Savonius hydrokinetic turbine has a 10.5% and 7.5% higher maximum coefficient of power compared to SHKT Design-1 and SHKT Design-2 respectively. The flow field generated about the SHKT, SHKT Design-1 and SHKT Design-2 are examined and deliberated upon to evaluate performance across different facets.
Experimental comparison of the upstream head using the non-rotating model of the vertical ultra-low head hydro turbine with its prototype
Authors: Chaulagain Raj Kumar , Poudel Laxman , Maharjan Sanjeev 
Published: December 2023

Abstract
A vertical ultra-low head (VULH) turbine is a pico-scale hydro turbine applicable to open canal flow with or without head drop. This conceptualized turbine rotates at a lower speed. In the case of water flow on a canal without head drop condition, the prediction of the upstream head is challenging due to the change in the direction of the water flow path on this conceptualized system. Assuming the head at the primary level of design, an experimental study has been conducted to judge the upstream head of water flow using the two-dimensional non-rotating model (NRM) before the use of a prototype of the turbine. The runner was designed with a conventional method whereas the design of NRM was based on the diameters of the runner designed and the orifice openings on it. The experiments were conducted on a newly developed VULH Turbine test rig of size 10 m x 1.5 m x 2 m with a maximum flow rate capacity of 120 LPS and a maximum upstream head of 0.75 m. The tests were completed for upstream head variation using three different sets of NRM having an orifice cut angle of 15°, 18°, and 22.5° and a prototype of the runner at a constant speed for different flow rates. From the comparisons made, the closest NRM was selected that showed a similar upstream head at the maximum efficiency point of the runner. The research concluded with the finding that the NRM can be used to predict the upstream head of the VULH turbine instead of the rotating model.
Application of green hydrogen for decarbonization of cement manufacturing process: A technical review
Authors: Jibran Jahir Ahamad , Mahat Chiranjeevi 
Published: December 2023

Abstract
Rising carbon dioxide (CO2) levels in the atmosphere have a direct effect on the weather, climate events, and global temperature that leads to adverse impacts on the environment and human beings. Industrial sectors are the major source of carbon footprint and contribute more than 30% of global CO2 emissions in global cement industries being the second largest after the steel industry i.e., 7% contribution. Raw material preparation, clinker burning, and cement grinding are the three major processes involved in cement manufacturing. The CO2 emissions throughout these phases are split into two categories: direct emissions (90%), mostly from the burning of fossil fuels and the breakdown of limestone (CaCO3) during the calcination of raw materials; and indirect emissions (2–10%), primarily from the use of electricity. Fossil fuel combustion is the major source of energy in cement manufacturing processes, accounting for 35% of cement’s CO2 emissions. In this study, the various pathways of decarbonization of the cement industry have been extensively reviewed. This research has revealed that hydrogen may be an appropriate substitute for carbon-intensive fuels in kilns. It can be concluded that the usage of hydrogen as a source of process heat, can present a potential for comparatively smooth integration into, or replacement of, process heat systems based on fossil fuels.
Comparative cost analysis of Synthetic Natural Gas distribution pathways in the context of Nepal
Authors: Ghimire Rahul , Mishra Abhishek , Pandey Bishnu 
Published: December 2023

Abstract
Synthetic Natural Gas (SNG) produced using Green Hydrogen, and carbon dioxide not only helps to reduce the harmful greenhouse gas emission but also can help Nepal to reduce its dependency on imports for fuel used in the industrial sector. For Nepal to utilize its full potential in Green Hydrogen for industries and household cooking, SNG can be an attractive alternative due to its storage, transmission, and controlled combustion advantages. Europe has been a frontier in SNG production, relying on its already-built Natural Gas network for distribution. Unlike Europe, Nepal doesn’t have any previously built gas pipeline network. Large biogas plants distribute the produced gaseous bio-CNG in cylinders. But unlike LPG, which can be liquified through pressurization (836 kPa at 20°C) only, SNG can only be liquified cryogenically (-162°C at 20 kPa), which requires a tremendous amount of energy. This study compares the costs of the distribution of SNG in gaseous form through gas pipelines and cylinders. A case study is performed in the Butwal Industrial Area of Nepal, in which data is gathered from primary and secondary sources to design the gas pipeline network and estimate the costs associated with distributing SNG using both pipelines and cylinders. It has been found that the capital cost (CAPEX) and the annual operating cost (OPEX) are significantly lower for pipeline distribution compared to the distribution using cylinders. The Net Present Value (NPV) of total costs for pipeline distribution was found to be NPR 12,002,821 compared to NPV of NPR 35,417,390 for cylinder distribution. Hence, distributing produced SNG using pipelines is more cost-effective than distributing using cylinders inside the industrial area of Nepal.
New Stability Results of the Modified Craig-Sneyd Scheme in a Multidimensional Diffusion Equation with Mixed Derivative Terms
Authors: Liu Jun , Zhu Qing , Zhou Lihong 
Published: December 2023

Abstract
The time-dependent multidimensional diffusion equations with mixed derivative terms have been widely used in mathematics. Due to the mixed derivative terms, it is difficult to solve this pattern of multidimensional diffusion equations. The Modified Craig-Sneyd scheme (MCS), which has been applied to value the power derivatives, is one of the most promising methods for solving such equations. Therefore, it is of great importance to study its stability. The unconditional stability problem of MCS for a multidimensional diffusion equation with mixed derivative terms is investigated by taking into account the sizes. A new sufficient condition, necessary condition, and equivalence condition on the parameter of the MCS scheme for unconditional stability are proposed in case of the two and three-dimensional diffusion equations.
Dynamic Bufurcation of a Tri-molecular Autocatalytic Reaction-diffusion System
Authors: Chen Guoqing , Busababodhin Piyapatr , Li Junyan 
Published: December 2023

AbstractThe tri-molecular autocatalytic reaction-diffusion system is a class of model, which can reveal a variety of phenomena observed in areas of encompassing physics, biology, ecology, chemistry and many other fields. In this paper, the tri-molecular autocatalytic reaction-diffusion system with Neumann boundary condition is studied. First, We have reached the following conclusion: the equilibrium of the system loses stability if the parameter is greater than a fixed value, and the corresponding principle of exchange stability condition is then verified. Second, we obtained the local asymptotic stability of trivial, transition types, expressions of bifurcated solutions, the main tools are center manifold theory. The theory is used to reduce the infinite dynamical system to a finite dimensional. Finally, the necessary explanations for the theory is provided.
Research on Tolerance Optimization of High Precision Equipment Assembly Based on Error Transfer Prediction Model
Authors: Wang Ping , Liu Xiang , Luo Zhe , Zhang Yi 
Published: December 2023

Abstract
In this paper, the assembly error transfer prediction model was established based on the error transfer attribute and the error transfer path of the assembly process. The assembly accuracy prediction was realized by combining error variation inequality, constraint inequality and mathematical statistics method. Aiming at the lowest processing cost of high-precision equipment assembly, the assembly accuracy required the reliability of index, the value interval of tolerance item and the principle of tolerance selection as constraints, the tolerance optimization model was established. The tolerance optimization of high-precision equipment assembly was carried out by combining the penalty function method and the improved genetic algorithm. Finally, taking gear oil pump assembly as an example, according to the reliability calculation formula of assembly accuracy, the reliability is 97.35%. Compared with the processing cost before and after optimization, the processing cost decreased by 12.13% after optimization, and the assembly accuracy reliability increased by 1.65%. The correctness and effectiveness of assembly accuracy prediction and tolerance optimization are verified.
Concentration Prediction of Multi-component Gases Based on Improved Sparrow Search Algorithm
Authors: Zhu Zehao , Tian Bing , Fan Xiaopeng , Zeng Min , Yang Zhi 
Published: December 2023

Abstract
The electronic nose consists of a sensor array and software algorithms, which can be used for gas identification and concentration prediction. The least-squares support vector machine (LSSVM) is often used for gas concentration prediction. However, the effectiveness of its performance is largely influenced by the chosen parameters. Hence, it is essential to integrate efficient optimization algorithms to enhance the predictive capabilities of LSSVM. This work introduces an improved sparrow search algorithm (ISSA) to enhance the precision of gas concentration prediction by LSSVM. The ISSA approach is evaluated against the particle swarm optimization algorithm (PSO) and the sparrow search algorithm (SSA). Response data of different concentrations of CH4, CO, H2 and their binary gases mixture have been measured using an electronic nose composed of six gas sensors. After processing feature extraction and principal component analysis (PCA) on the original data, it is used as a training and test dataset for prediction models. The results demonstrate that ISSA can significantly enhance the precision of the LSSVM model for gas concentration prediction.
A Short-term Load Curve Intelligent Prediction Method Based on FFT and GA Composite Algorithm and Its Application
Authors: Dong Hanyu , Shen Shangyi , Qin Guangxun 
Published: December 2023

Abstract
In order to reduce the system operation cost of predicting short-term load curves and improve the feasibility of artificial intelligence prediction, the FFT and GA composite algorithm is designed as an artificial intelligence algorithm with the goals of low time complexity, small required sample data, and high flexibility. The algorithm uses mature Fast Fourier Transform and Genetic Algorithm, and improves the flexibility of the prediction method by dynamically adding kernel functions. It can be used for load curve prediction of 96 data points or smaller granularity, and can also reuse the calculation results of big data prediction methods for larger data granularity. By improving the feasibility of individual low-reward data predictions, it can improve the accuracy, sensitivity, and adaptability of energy management plans, accelerate the high-quality development of the power grid, improve the level of digitization, and promote demand response.
Study on The Rotational Steady-state Dynamics of Viscous Thin Film Fluids
Authors: Cai Zishuo , Che Yuzeng , Li Wenbo , Li Wenhao , Gao Ya 
Published: December 2023

Abstract
The study of viscous thin film fluid rotation can be applied to a variety of fields, including rotational coating, rotational casting, rotational molding, and the paper industry. In this paper, the parameters affecting the viscous thin film fluid on a rotating rod and the trend of these parameters on the fluid motion and steady state are investigated. The analytical solution of the tangential velocity Uh at steady state of the thin film fluid is solved based on the Nusselt tilted plate thin film fluid model, and the conditions for the fluid attached to the rotating rod to maintain steady state are obtained. The steady state of the fluid at different rotational speeds is simulated using COMSOL and compared with experiments to verify the accuracy of the theoretical model. Then the effects of rotating rod speed, rotating rod diameter and rotating rod friction factor on the steady state, time and attachment of the thin film fluid were investigated experimentally, and the influence trends of each parameter were summarized by three-sample interpolation.
Design of Visualization Simulation Software for Fire Planning Based on Unity 3D Technology
Authors: Shi Rui , Feng Changlin , Cai Zilei , Wang Xinyu , Ma Tiefei 
Published: December 2023

Abstract
How to evaluate the effective firepower intensity generated by ammunition in war is an important basis for tactical decision-making. In order to calculate the firepower kill range formed by the combined action of multiple high explosive bombs, this paper uses digital simulation methods to establish a firepower planning model for multiple high explosive bombs based on the hit rate model and power model of the ammunition. A visual simulation software for explosive bomb firepower planning based on C + + programming language and Unity 3D engine is designed to support rapid calculation and visual display of firepower planning results. The results show that the visual simulation software for fire plan can effectively calculate the distribution pattern and fire damage of ammunition, dynamically visualize the entire terminal damage process, evaluate the effective fire distribution results, and lay a foundation for the design of warheads and the efficient use of ammunition.
Experimental Study on Modal Characteristics of Large Flexible Aircraft
Authors: Hou Yingyu , Ji Chen , Liu Ziqiang 
Published: December 2023

Abstract
High altitude long endurance unmanned aerial vehicle (UAV) is a type of UAV that operates at an altitude of around 10000 meters and can fly for several days, relying on solar panels.Usually, this type of aircraft has the structural characteristics of high aspect ratio, large wingspan, low wing load, and high flexibility.In engineering applications, it is often necessary to measure the vibration modes of such aircraft, and the modal measurements of such aircraft are often not accurately obtained.This article conducts relevant research on the issue of inaccurate measurement in modal experiments of such aircraft. By establishing a finite element model, the reasons for the inaccurate measurement of low order frequencies in modal experiments of such aircraft are analyzed, and the magnitude of data errors in different situations is quantitatively calculated.Based on the above research, this article proposes two methods for solving modal tests of such aircraft. This method has important guiding significance for ground modal testing of large flexible structures, which is beneficial for dynamic analysis and flight control research of such aircraft.
Introduction
Authors: Gartland Samuel D , Tandy David W 
Published: December 2023

Abstract
In the Introduction to the volume we outline the purpose and principles of studying the subordinates in the world through the lens of Boiotia in the archaic and classical periods. By considering the experiences of subordination of different types within the landscape of Askra and the later effects of community-wide subordination during the period of Theban Hegemony in the fourth century bce, we situate the wider ambitions of the volume in a single geographic area, but across a chronological span that matches that of the contributions within the volume. We also address here the methodological challenges of the work, recent developments in scholarship relating to the study of subordinates, and the relationship of the contributions of the individual chapters in relation to these.
A Moral Economy of the Demos in Early Archaic Greece
Authors: Zurbach Julien 
Published: December 2023

Abstract
The Works and Days attributed to Hesiod appears to give a coherent formulation to principles guiding economic action, bound into a moral framework in such a way that they may be considered an example of a moral economy as defined by E. P. Thompson. On the other hand, these same principles appear as active ideas in the struggles over political rights and economic entitlement that lie at the heart of the formative phase of Greek city states. Some city states were deeply influenced by this set of ideas, rooted in the experience of small peasant communities.