Transport Development
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Basalt rocks are a common geological formation that plays a crucial role in various engineering applications, such as construction, infrastructure development, and geotechnical engineering.
15p viengfa 28-10-2024 3 2 Download
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This study focuses on investigating the effect of negative pressure on the structure and diffusion processes of Silicon dioxide at liquid nitrogen temperature. The insights gained from this study will serve as a foundation for future experimental research aimed at the development and manufacturing of advanced materials.
11p viengfa 28-10-2024 1 1 Download
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The paper generalizes one practical tool for analyzing the structural dynamics for the high-speed railway bridge based on Cast3M open-source. Compared with the classical approach with the analytical formulation, KD-Railway developed by the finite element method allows defining the structure with complex geometry and considering a different type of structure (truss, cable, hybrid composite) or the structure-soil interaction.
10p viengfa 28-10-2024 3 2 Download
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This paper develops an Artificial Neural Network (ANN) model based on 96 experimental data to forecast the dynamic modulus of asphalt concrete mixtures. This study applied the repeated KFold cross-validation technique with 10 folds on the training data set to make the simulation results more reliable and find a model with more general predictive power.
9p viengfa 28-10-2024 5 2 Download
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This study aims to explore the travel behaviour of young travel group to understand different factors that could influence their mode choices, and their willingness to shift to the first urban railway line in Hanoi. This will help notify a range of measures that could be considered to decrease motorcycle usage and facilitate mode shift to public transport system.
15p viengfa 28-10-2024 3 1 Download
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Light Gradient Boosting Machine is a new machine learning technique developed by Microsoft corporation which has been proposed in the present study to determine the CBR of stabilized expansive soils. Model performance of the ML model are evaluated by different criteria such as correlation coefficient R, root mean square error RMSE and mean absolute error MAE.
8p viengfa 28-10-2024 3 2 Download
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This paper presents the development of an Artificial Intelligence (AI) and Machine Learning (ML) model designed to detect cracks on concrete surfaces. The objective is to enhance the automation, precision, and performance of crack detection using the computer vision algorithm.
13p viengfa 28-10-2024 1 1 Download
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The Axial Load Capacity (ALC) of Concrete-Filled Steel Tubular (CFST) structural members is regarded as one of the most crucial technical factors for the design of these composite structures.
17p viengfa 28-10-2024 1 1 Download
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In industrial field, various automation techniques have been studied and applied to increase productivity, better accuracy and eliminate the human errors. This paper developed a model of the automatic defect sorting system to distinguish between qualified and defective products.
6p viengfa 28-10-2024 3 2 Download
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Rubberized concrete is a material that is both ecologically friendly and sustainable, and it has been finding more and more usage in building applications recently. In this study, a machine learning model, namely LightGBM, is developed to predict rubberized concrete's compressive strength (CS) using 11 input parameters.
18p viengfa 28-10-2024 2 1 Download
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The present study thus develop a numerical solution in ABAQUS software to investigate the inelastic buckling moment resistances of rolled steel beams with compact sections and subjected to the effects of residual stresses and initial imperfections.
15p vibecca 01-10-2024 2 0 Download
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The rest of the paper is structured in five sections. The first section reviews previous studies on the accessibility to public transport so as to obtain the accessibility indices that are appropriate to the aged people in developing countries.
15p vibecca 01-10-2024 1 0 Download
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This article discusses the development objectives, key tasks, orientations, and the current state of spatial organization and main content in National Comprehensive Planning, specifically focusing on urban network planning and transportation infrastructure. It also addresses the solutions, resources for implementation, and recommendations for the initial stage of digital transformation in Vietnam.
7p vibecca 01-10-2024 4 1 Download
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In the context of the Fourth Industrial Revolution, the development of smart cities, along with adopting the Transit-Oriented Development (TOD) model with a focus on extensive public transportation, is a suitable and effective direction for Hanoi's urban development.
8p vibecca 01-10-2024 4 0 Download
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In this paper, we investigated the factors influencing the adoption of electric motorcycles in two major cities, Ho Chi Minh City and Da Nang. A paper-based questionnaire was proposed. Through data analysis based on established measurement standards, we identified positive and negative factors affecting the use of electric motorcycles.
15p vibecca 01-10-2024 2 2 Download
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In this study, a numerical model was developed to simulate the mechanical behavior of an orthotropic steel bridge deck (OSBD) strengthened with UHPC under localized loads based on the five-point bending beam test configuration.
10p vibecca 01-10-2024 2 0 Download
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So far, little is known about the determinants of the intention to use motorcycles among the young generations in developing countries. This study has proposed an extension of the Theory of Planned Behaviours (TPB) to investigate various factors associated with the motorcycle use intention of students in Hanoi, Vietnam.
13p vibecca 01-10-2024 4 2 Download
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This study seeks to develop a prediction model to estimate the bond strength of FRP bars in concrete, utilizing an extended dataset from 1010 pull-out tests. Initially, the study evaluates the applicability of several bond strength formulas from existing codes.
16p vibecca 01-10-2024 3 0 Download
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Random numbers are a crucial component of any encryption activity in modern cryptography. Quantum Random Number Generators (QRNGs) produce truly random output strings to replace pseudo-random ones. The principle of QRNG relies on measuring qubit states, which excel in quantum computing applications, particularly on IBM's quantum computing platform. T
15p vibecca 01-10-2024 1 0 Download
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In this study, the influence of injector structure and fuel injection pressure on injection mass as well as the influence of injection pressure on the development of the fuel spray are presented.
14p vibecca 01-10-2024 1 0 Download