Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering)
Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering) was originally founded in 1959. The publisher of the journal is Wuhan University of Technology. JWUT first got the scopus license in the year 2001. The journal generally publishes all aspect of engineering sciences like: physics, chemistry, mathematics, and all sorts of general engineering.
Scopus Indexed(2026)
Submission Deadline
Volume
50
, Issue
03
02 Apr 2026
Day
Hour
Min
Sec
Publish On
Volume
49
, Issue
06
31 Jul 2025
Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering)
Aim and Scopes
Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering) (ISSN:2095-3844) 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: :
Electrical Engineering and Telecommunication Section:
Computer Science Section :
Civil and architectural 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 :
Food Engineering :
Physics Section:
Mathematics Section:
Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering)
Determinants of Pile Coordinate Deviation: Evidence from a Construction-Stage Control Perspective Using PLS-SEM
Pile coordinate deviation has traditionally been viewed primarily as a geotechnical issue, with limited consideration of its role as a construction-stage control problem. This study seeks to examine the determinants of pile coordinate deviation by integrating both technical and operational factors within a unified structural framework. A quantitative approach using Partial Least Squares Structural Equation Modeling (PLS-SEM) was applied to analyze the relationships among survey control, equipment readiness, field conditions, soil characteristics, and human resource factors. Data were collected from 100 construction professionals with direct experience in pile foundation projects. The results show that survey control (β = 0.423, p < 0.001), equipment readiness (β = 0.312, p < 0.001), and field conditions (β = 0.259, p = 0.001) have significant effects on pile coordinate deviation. In contrast, soil characteristics and human resource factors do not exhibit statistically significant direct effects. The low explanatory power (R² = 0.028) suggests that coordinate deviation is strongly influenced by project-specific and context-dependent operational variability. This study contributes by reconceptualizing pile deviation as a construction control problem and by developing an integrated empirical model of installation-stage accuracy. The findings highlight the importance of technical control systems and underscore the need for incorporating real-time monitoring and digital technologies in future research.
Population Synthesis for Agent-based Transportation Modelling for Fayoum Urban Area
Agent-based transportation modeling requires disaggregated data for each individual and household within the study area. It is known that obtaining disaggregated data is very difficult due to privacy and cost concerns. Therefore, it was necessary to create a population synthesis, which is the creation of a synthetic population with attributes that are similar to the attributes of the real population of the study area (Fayoum urban City), based on the population census prepared by the Egyptian Central Agency for Public Mobilization and Statistics (CAPMAS). To address these challenges, population synthesis techniques have been developed to generate privacy-preserving synthetic microdata suitable for microsimulation (i.e., Iterative Proportional Fitting (IPF), Iterative Proportional Updating (IPU), Combinatorial Optimization (CO), and Markov-based and fitness-based syntheses (FBS),). This paper aims to make an efficient population synthesis to generate synthetic microdata for agent-based models, enabling the simulation of travel behavior. This study used the Iterative Proportional Updates (IPU) algorithm, which simultaneously adjusts household- and person-level distributions, building on the traditional Iterative Proportional Fitting (IPF) method. The accuracy of the synthetic populations generated by the IPU depends on the quality of the input data, and new heuristic procedures are introduced for processing Fayoum census data. Encouraging results from using the Iterative Proportional Updating method indicate strong potential to create a more realistic synthetic population with diverse demographic characteristics and to apply it broadly to other geographic areas in Egypt.
Optimizing the Role of Urban Water Bodies in Mitigating Heat Islands: A Physics-Informed Discrete ANN Framework
Urban water bodies play a critical role in mitigating the Urban Heat Island (UHI) effect, particularly in hot-arid environments where high solar radiation and low humidity intensify thermal stress. While extensive research has examined large natural water bodies, comparatively limited attention has been given to the performance optimization of artificial lakes across varying sizes and spatial configurations. Moreover, the nonlinear relationship between water-body area, cooling range, and peak temperature reduction remains insufficiently explored, particularly within compact urban contexts. This research addresses this gap by developing an integrated empirical and computational framework for evaluating and optimizing urban lake deployment. Initially, spatial cooling behavior was quantified using geostatistical analysis and remote sensing data derived from Landsat 8 imagery. The analysis identified discrete cooling performance patterns associated with different lake sizes, highlighting trade-offs between spatial coverage and localized temperature reduction. Building upon these findings, a physics-informed discrete optimization model was formulated, combining cellular spatial representation, diffusion-based thermal constraints, and artificial neural network decision mechanisms. The framework integrates environmental variables, geometric constraints, and wind alignment considerations to generate climate-responsive lake configurations. The proposed approach advances urban blue infrastructure planning from descriptive thermal assessment toward prescriptive spatial optimization, offering a scalable digital tool for climate-adaptive urban design in hot-arid cities.
Improvement of Architectural Design studio product using BIM strategies
A persistent challenge in architectural practice is the disconnect between the creative freedom of conceptual design and the technical rigors of project execution. This study proposes and validates a methodological framework for integrating Building Information Modeling (BIM) strategies into the early stages of the architectural design process to bridge this gap. The framework's effectiveness is measured by quantifying the improvement in the final design product generated within a controlled studio environment. The methodology, which combines conceptual massing (in Autodesk FormIt) with real-time performance analysis and automated documentation (in Autodesk Revit), was tested using a pre-test/post-test design with novice designers. Design outputs were evaluated using a standardized rubric, and the results were analyzed using the Wilcoxon Signed-Rank Test. The findings demonstrate that the proposed BIM-driven workflow leads to a statistically significant improvement in the quality of the architectural product across all measured categories, including conceptual clarity, form, and sustainability. This research validates a practical methodology for leveraging BIM as a tool for design enhancement, independent of user expertise, and offers a replicable process for improving the quality of architectural design products.
Improvement of Distribution Network using Reactive Compensation Based on Particle Swarms Algorithm
Reactive power compensation is important to enhance power quality, voltage profile, power factor, and efficiency in electrical networks, resulting in stable, economical, and reliable systems. Shunt capacitors on radial feeders serve as reactive power sources, and determining their ideal placement and size is treated as a constrained optimization problem. Particle swarm optimization (PSO) can address this by minimizing network loss. This study applies PSO to 15-bus and 33-bus radial distribution systems. The forward/backward sweep (FBS) load flow algorithm calculates bus voltages, power flows, and system losses. PSO then determines the optimal capacitor locations and sizes for various capacitor numbers. Results reveal significant network loss reductions with increased capacitor use, as voltage deviation decreases in compensated networks. In the 15-bus case, improvements were 18.4%, 30.4%, and 31.7%, while the 33-bus system showed 18.48%, 25.28%, and 26.87% improvements. Cost savings were analyzed for all cases, identifying the most economical designs.
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/Journal of Wuhan University of Technology (Transportation Science and Engineering)