Technology sciences
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The main objective of this study is to predict accurately the loaddeflection of composite concrete bridges using two popular machine learning (ML) models namely Random Tree (RT) and Artificial Neural Network (ANN). Data from 83 track loading tests conducted on various bridges in Vietnam were collected and analyzed.
9p viengfa 28-10-2024 2 1 Download
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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 1 1 Download
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Using numerical commercial software, this article presents a type of autonomous unmanned flying car capable of saving people in burning highrise buildings in urban areas. This kind of flying vehicle is maneuverable and fast, and it has the ability to anchor to the building balconies to receive people in distress.
9p viengfa 28-10-2024 2 1 Download
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This article conducts an exhaustive investigation into the utilization of machine learning (ML) methods for forecasting the maximum load capacity (MLC) of circular reinforced concrete columns (CRCC) using Fiber-Reinforced Polymer (FRP). Extreme Gradient Boosting (XGB) algorithm is combined with novel metaheuristic algorithms, namely Sailfish Optimizer and Aquila Optimizer, to fine-tune its hyperparameters.
18p viengfa 28-10-2024 1 1 Download
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Predicting the macroscopic permeability of porous media is critical in various scientific and engineering applications. This study proposes a novel model that combines Random Forest (RF) and rime-ice (RIME) optimization algorithm, denoted RIME-RF-RIME, to predict permeability based on six key features covering fluid phase dimensions, geometric characteristics, surrounding phase permeability, and media porosity.
14p viengfa 28-10-2024 1 1 Download
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In this study, we aim to delineate landslide susceptibility zones within Dien Bien province, Vietnam, leveraging the capabilities of various machine learning models including Light Gradient Boosting Machine (LGBM), K-Nearest Neighbors (KNN), and Gradient Boosting (GB).
19p viengfa 28-10-2024 2 1 Download
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This study delves into the application of machine learning (ML), specifically a Gradient Boosting (GB) model, for predicting the punching shear strength (PSS) of two-way reinforced concrete flat slabs.
16p viengfa 28-10-2024 2 1 Download
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The nonlinear dynamic buckling responses of functionally graded graphene platelet reinforced composite (FG-GPLRC) cylindrical and sinusoid panels with porous core are presented in this paper. The governing formulations are established by applying the nonlinear higher-order shear deformation theory (HSDT).
10p viengfa 28-10-2024 1 1 Download
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This article provides an overview of the mechanism and performance operating cycle of internal combustion engines using water-fuel emulsions and the efficiency, economy, and environmental friendliness of this fuel type for automobiles.
12p viengfa 28-10-2024 1 1 Download
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In this study, our primary aim is to assess and compare the efficacy of Support Vector Machines (SVM) employing various kernel functions: linear (LIN), polynomial (POL), Radial Basis Function (RBF), and sigmoid (SIG) in predicting the compressive strength of concrete.
14p viengfa 28-10-2024 1 1 Download
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The present paper also includes strength prediction models that consider the influence of curing temperature. In addition, the Thermogravimetry analysis (TGA) used to determine the chemically bound water content in cement-treated soil and the X-ray diffraction (XRD) test to explain the chemical mechanism in cement-treated soil are also mentioned.
18p viengfa 28-10-2024 1 1 Download
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Buckling and postbuckling behaviors of porous functionally graded graphene platelets-reinforced composite (porous FG-GPLRC) cylindrical shells with stiffeners subjected to external pressures are presented in this paper. Three distribution types of porosity in the shells are considered. The smeared technique for stiffeners is employed to model the mechanical behaviors of the stiffened shells.
13p viengfa 28-10-2024 1 1 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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In the present paper, by using the higher-order shear deformation theory and the strain-displacement relationships of large deflection, the postbuckling analysis of the functionally graded graphene-reinforced composite laminated (FG-GRCL) parabola, sinusoidal, and cylindrical externally pressured panels is presented in detail.
10p viengfa 28-10-2024 2 1 Download
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Asphalt concrete pavement often appears damaged such as rutting, fatigue crack, potholes, etc. at high air temperature, heavy rain in long time, or at locations with high traffic, large horizontal force, and poor-quality construction sites. T This paper presents an evaluation of shear bond strength of double-layer asphalt samples fabricated by shear test device with normal pressure.
8p viengfa 28-10-2024 2 1 Download
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This paper introduces the application of the standard Particle Swarm Optimization (PSO) algorithm with discrete integer variables to solve the problem of optimizing the position of tower cranes and material supply points.
10p viengfa 28-10-2024 2 1 Download
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This paper is aimed to apply hybrid machine learning model namely GA-ANFIS, which is a combination of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Genetic Algorithm (GA), for the prediction of total bearing capability of driven piles.
8p viengfa 28-10-2024 2 1 Download
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An analytical approach for nonlinear buckling of functionally graded graphene platelet reinforced composite toroidal shell segments is presented in this paper. The Ritz energy procedure is executed, and radial pressure– deflection expression is constituted to obtain the postbuckling strength and critical buckling pressure of the shells.
7p viengfa 28-10-2024 3 1 Download
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The aim of this paper is to find the appropriate mix-design for creating self-healing cementitious material in Vietnam conditions. Experimental results show that the mixture including bacillus subtilis and calcium lactate can be used for creating the self-healing cementitious materials.
8p viengfa 28-10-2024 3 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 2 1 Download