Gongcheng Kexue Yu Jishu/Advanced Engineering Science

Gongcheng Kexue Yu Jishu/Advanced Engineering Science (ISSN: 2096-3246) is a bi-monthly peer-reviewed international Journal. Gongcheng Kexue Yu Jishu/Advanced Engineering Science was originally formed in 1969 and the journal came under scopus by 2017 to now. The journal is published by editorial department of Journal of Sichuan University. We publish every scope of engineering, Mathematics, physics.

Submission Deadline
( Vol 56 , Issue 02 )
02 Mar 2024
Publish On
( Vol 56 , Issue 01 )
29 Feb 2024
Scopus Indexed (2024)

Aim and Scope

Gongcheng Kexue Yu Jishu/Advanced Engineering Science (ISSN: 20963246) is a peer-reviewed journal. The journal covers all sort of engineering topic as well as mathematics and physics. the journal's scopes are in the following fields but not limited to:

Agricultural science and engineering Section:

Horticulture, Agriculture, Soil Science, Agronomy, Biology, Economics, Biotechnology, Agricultural chemistry, Soil, development in plants, aromatic plants, subtropical fruits, Green house construction, Growth, Horticultural therapy, Entomology, Medicinal, Weed management in horticultural crops, plant Analysis, Tropical, Food Engineering, Venereal diseases, nutrient management, vegetables, Ophthalmology, Otorhinolaryngology, Internal Medicine, General Surgery, Soil fertility, Plant pathology, Temperate vegetables, Psychiatry, Radiology, Pulmonary Medicine, Dermatology, Organic farming, Production technology of fruits, Apiculture, Plant breeding, Molecular breeding, Recombinant technology, Plant tissue culture, Ornamental horticulture, Nursery techniques, Seed Technology, plantation crops, Food science and processing, cropping system, Agricultural Microbiology, environmental technology, Microbial, Soil and climatic factors, Crop physiology, Plant breeding,

Electrical Engineering and Telecommunication Section:

Electrical Engineering, Telecommunication Engineering, Electro-mechanical System Engineering, Biological Biosystem Engineering, Integrated Engineering, Electronic Engineering, Hardware-software co-design and interfacing, Semiconductor chip, Peripheral equipments, Nanotechnology, Advanced control theories and applications, Machine design and optimization , Turbines micro-turbines, FACTS devices , Insulation systems , Power quality , High voltage engineering, Electrical actuators , Energy optimization , Electric drives , Electrical machines, HVDC transmission, Power electronics.

Computer Science Section :

Software Engineering, Data Security , Computer Vision , Image Processing, Cryptography, Computer Networking, Database system and Management, Data mining, Big Data, Robotics , Parallel and distributed processing , Artificial Intelligence , Natural language processing , Neural Networking, Distributed Systems , Fuzzy logic, Advance programming, Machine learning, Internet & the Web, Information Technology , Computer architecture, Virtual vision and virtual simulations, Operating systems, Cryptosystems and data compression, Security and privacy, Algorithms, Sensors and ad-hoc networks, Graph theory, Pattern/image recognition, Neural networks.

Civil and architectural engineering :

Architectural Drawing, Architectural Style, Architectural Theory, Biomechanics, Building Materials, Coastal Engineering, Construction Engineering, Control Engineering, Earthquake Engineering, Environmental Engineering, Geotechnical Engineering, Materials Engineering, Municipal Or Urban Engineering, Organic Architecture, Sociology of Architecture, Structural Engineering, Surveying, Transportation Engineering.

Mechanical and Materials Engineering :

kinematics and dynamics of rigid bodies, theory of machines and mechanisms, vibration and balancing of machine parts, stability of mechanical systems, mechanics of continuum, strength of materials, fatigue of materials, hydromechanics, aerodynamics, thermodynamics, heat transfer, thermo fluids, nanofluids, energy systems, renewable and alternative energy, engine, fuels, nanomaterial, material synthesis and characterization, principles of the micro-macro transition, elastic behavior, plastic behavior, high-temperature creep, fatigue, fracture, metals, polymers, ceramics, intermetallics.

Chemical Engineering :

Chemical engineering fundamentals, Physical, Theoretical and Computational Chemistry, Chemical engineering educational challenges and development, Chemical reaction engineering, Chemical engineering equipment design and process design, Thermodynamics, Catalysis & reaction engineering, Particulate systems, Rheology, Multifase flows, Interfacial & colloidal phenomena, Transport phenomena in porous/granular media, Membranes and membrane science, Crystallization, distillation, absorption and extraction, Ionic liquids/electrolyte solutions.

Food Engineering :

Physics Section:

Astrophysics, Atomic and molecular physics, Biophysics, Chemical physics, Civil engineering, Cluster physics, Computational physics, Condensed matter, Cosmology, Device physics, Fluid dynamics, Geophysics, High energy particle physics, Laser, Mechanical engineering, Medical physics, Nanotechnology, Nonlinear science, Nuclear physics, Optics, Photonics, Plasma and fluid physics, Quantum physics, Robotics, Soft matter and polymers.

Mathematics Section:

Actuarial science, Algebra, Algebraic geometry, Analysis and advanced calculus, Approximation theory, Boundry layer theory, Calculus of variations, Combinatorics, Complex analysis, Continuum mechanics, Cryptography, Demography, Differential equations, Differential geometry, Dynamical systems, Econometrics, Fluid mechanics, Functional analysis, Game theory, General topology, Geometry, Graph theory, Group theory, Industrial mathematics, Information theory, Integral transforms and integral equations, Lie algebras, Logic, Magnetohydrodynamics, Mathematical analysis.
Latest Journals
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-18-01-2023-497

Abstract : Long-term impacts on prestressed segmentally erected balanced cantilever bridges frequently result in greater deflections than predicted. Creep and shrinkage which occurs in the concrete deck of Prestressed Concrete (PSC) box girder bridges, can lead to a considerable redistribution of loads as well as an increase in bending moments across continuous supports, resulting in a rise in deflections. Since the cantilevers and the middle part have a peculiar static arrangement, creep deflections in this situation are constantly evolving, notably at the extremities of the cantilevers and the middle part. Traffic movement on the bridge will be made more difficult with these extreme deflections, which can lead to a collapse of the structure. In the current study, prediction models of PSC bridges using Free Cantilever Method in view of the long-term effects were proposed and discussed. The static systems of the structures were changed to achieve this goal by introducing different grades of concrete and steel tendons, which play a major role in creep, shrinkage and progressive cracking of concrete deck. Creep and shrinkage evaluations are considered as the critical factors in simulation and analysis of free cantilever bridge, particularly in the case of cast-in-place segmental bridges that demands for extensive prestressing. MIDAS Civil software was used to create 3-D finite element (FE) models of the specified bridges, which includes the implications of static and dynamic load applications, creep and ageing of concrete. It is possible to simulate construction phases, the effects of time-dependent material displacements and improvements to the bridge's structural system using the stage process approach. It is necessary to modify equations available in practice when utilising the free cantilever technique to construct bridges in order to account for time-dependent deformation and stress redistribution. Results from the current approach and numerical analysis are in good agreement with each other..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-15-01-2023-495

Abstract : This study describes an open access approach that use a fiber-based model to simulate the gradual collapse of reinforced concrete (RC) structures exposed to blast loading in an urban setting, resulting in the loss of one or more bearing parts. In this context, member removal indicates an occurrence that occurs when harsh conditions or abnormal loads kill the member itself. Three independent numerical tools were used to generate and compare two- and three-dimensional models of frame structures: an open source software called OpenSees and two commercial programmes called SeismoStruct and Ls-Dyna. The first two are more traditional fiber-based software, but the third is a well-known general purpose finite element (FE) product. The removal of crucial components is considered to occur in the building under decade, consideration, and a specific purpose procedure inside OpenSees and SeismoStruct has been built to produce a fibre model capable of modelling overall structural reaction owing to their failure. In this computational method, one or more vertical ed safety against excessive collapse of important parts. Sacrificial components and members are removed from the model instantly, and the building's capacity to effectively absorb. Recent instances shown that structures erected in accordance with conventional norms are not always capable of withstanding man-made severe events such as collision or explosions. Non-structural preventive measures such as barriers have previously boost public access limiting or control. In the previous member loss is studied. The acquired findings were evaluated and confirmed using the transient dynamic software Ls-Dyna. This study's numerical and modelling findings on the progressive collapse behaviour of RC structures may be instantly used to the design, vulnerability assessment, FE and strengthening of various structural typologies ranging from residential frames to strategic and military institutions..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-14-01-2023-494

Abstract : In the presence of Piperidine, the reaction of 4-Hydroxysalicylaldehyde with ethyl 3-oxobutanoate produced the compound 3-acetyl-7-hydroxychromen-2-one (1), which was subsequently cyclized with ammonium acetate to pyridine derivative (APHCP) (2). TLC (Thin Layer Chromatography), Melting level, Fourier-transform infrared spectroscopy, while Proton nuclear magnetic resonance had been utilized to describe the newly created substance. Pyridine derivative (APHCP) (2) is just a synthesized substance that was screened for its antibacterial and antifungal activity against Staphylococcus aureus, Staphylococcus epidermidis, Escherichia coli, Klebsiella sp., and Candida albicans. were selected because they have antifungal and antibacterial effects. Using the diffusion method, Comparing Compound 2 to the popular drug Ampicillin revealed significant antibacterial efficacy. Compared to conventional Diflucan, Pyridine derivative (APHCP) (2) had antifungal solid effectiveness. According to the research, compound 3-acetyl-7-hydroxychromen-2-one (1), and Pyridine derivative (APHCP) (2) have much more antioxidant activity than ascorbic acid, a well-known antioxidant. They were highly effective in neutralizing hydroxyl and DPPH ions. The lowest unoccupied molecular orbital energy (ELUMO) and the highest occupied molecular orbital energy (EHOMO), respectively, were measured and given as quantum chemical parameters. The target compounds (4-Hydroxysalicylaldehyde, 3-acetyl-7-hydroxychromen-2-one (1), Pyridine derivative (APHCP) (2) & Ampicillin) underwent a docking procedure Ampicillin-CTX-M-15. It was demonstrated that the orthostatic target binds to each hit. The location of the enzyme in the (active) state may indicate a competitive inhibition mechanism..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-12-01-2023-492

Abstract : The decrease in efficiency of photovoltaic (PV) modules is caused by an increase in the temperature at which they are working. In this research, an aluminum metal foam (AMF) with phase change material (PCM) is used for passive cooling to control the temperature of a photovoltaic (PV) system. Two modules, the standard PV and the PV with AMF incorporated in PCM (abbreviated as PV/PCM/AMF), are tested in the open air. Over the course of the winter, measurements were taken of the PV panels' surface temperatures, PCM temperatures, open-circuit voltages, and total power outputs. Based on the data, the PV-PCM/AFM system had a surface temperature that was 4.4%, 7%, and 17% reduced than traditional PV in the months of December, January, and February. Additionally, the power output of the PV-PCM/AFM system was 1.86 percentage points higher, 3.41 percentage points higher, and 4.19 percentage points higher than conventional PV in those same months..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-12-01-2023-490

Abstract : Food losses due to plant disease and pests have been an issue for many years. The early non-invasive detection and prediction of leaf diseases with modern technology are crucial in the contemporary world to sustain food security. Binarization is the primary technique for extracting significant information from an image. However, it could not always extract substantial information due to variations in the distribution of the image pixel histogram because of the delivery of light during image acquisition. Image acquisition from different environments and laboratory settings could potentially result in a highly non-uniform histogram distribution of leaf images. Extraction of Region of Interest from leaf images with non-uniform illumination has been challenging for the conventional thresholding and edge detection techniques. It is because the optimal threshold value for the highly varied histogram distribution is difficult to calculate dynamically. This paper proposes an Enhanced ELA incorporated with the Otsu method to improve the binarization process of the non-uniform histogram intensity distribution of the leaf images. The combination of Enhanced ELA with Otsu acquired the best performance in three measurement metrics: validation accuracy, convergence rate, and least overfitting compared to the benchmark models. CNN architecture is used for the classification of plant leaf images..
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