Thu Dau Mot University

Thủ Dầu Một, Vietnam

Thu Dau Mot University

Thủ Dầu Một, Vietnam

Time filter

Source Type

Nguyen H.T.T.,Thu Dau Mot University | Nguyen H.T.T.,BMT Construction Investment J.S. Company
Road Materials and Pavement Design | Year: 2017

Asphalt concrete has been considered one of the major pavement materials due to its advantages that are good workability, ease of repair and smoothness for vehicles travelling on it. However, its plastic and viscous behaviour causes a gradual accumulation of deformation under repeated vehicle loading, resulting in a shortage of traffic safety. This paper presents an elasto-viscoplastic model for asphalt concrete material undergoing finite strain in an effort to predict the permanent deformation of a pavement structure. The model uses the Perzyna viscoplastic theory and an ordinary Drucker–Prager yield surface. The well-known return mapping algorithm is used for numerical resolution, and tangent stiffness is derived for finite element implementation. Owing to the lack of a triaxial creep test device, the model parameters are determined on the basis of the Hamburg wheel tracking test results. Numerical examples are presented to assess the efficiency of the formulation proposed. The results show that the prediction achieves an acceptable level of accuracy in a low-velocity traffic area. © 2017 Informa UK Limited, trading as Taylor & Francis Group

Trang P.T.T.,Thu Dau Mot University | Dong H.Q.,Thu Dau Mot University | Toan D.Q.,Thu Dau Mot University | Hanh N.T.X.,Thu Dau Mot University | Thu N.T.,Vietnam National University, Hanoi
Energy Procedia | Year: 2017

This paper estimated the household solid waste (HSW) generation and composition in Thu Dau Mot city. The study also determined the socio-economic factors influencing the waste generation of the households in the city by using Ordinary Least Square (OLS) regression. 300 sample households were selected for the study by using a stratified random sampling methodology. The results indicated that the average HSW generation in Thu Dau Mot was 0.76 kg/household/day. These wastes comprised of six categories of wastes, with the largest component of organic waste (67%). The effect of income, household size and environmental concern on HSW generation is statically significant at 1%. This study suggests new insights concerning the role of socioeconomic characteristics in affecting the generation of household waste in Thu Dau Mot city, Vietnam. © 2017 The Authors.

Nguyen H.T.,University for Information Science and Technology | Tran P.V.,Thu Dau Mot University
2016 International Conference on Control, Automation and Information Sciences, ICCAIS 2016 | Year: 2016

Flyer is a means utilized popularly and effectively in recording landscape from above, collecting data of environment and weather, contributing to field works, especially conveying samples and medications from or to patients living in areas isolated by flood. It is necessary to track flyer's locations and characteristics for its activities. Visualization-based system for tracking flyer enables user to monitor flyer by analyzing visually multivariable flight data. Visualization-based system for tracking flyer using 3D cube represents flight data including ground position and elevation, using space-Time cube (STC) represents ground position and time, using 4D cube represents time, ground position, and elevation. Meanwhile, multipurpose flyer needs to be tracked not only time, ground position, elevation, but also characteristics. The paper proposes multidimensional cube (mD cube) for visualization-based tracking system to represent multivariable flight data including time, location, and characteristics. Multidimensional cube results from the combination of a 4D cube with a multivariate cube representing characteristics changing over time. The mD cube represents visually multivariable flight data in visualization-based tracking system to enable user to monitor flyer. With mathematical reasoning, user can understand the significance of multivariable flight data by responding several analytical tasks. © 2016 IEEE.

Hoang N.-T.D.,Ho Chi Minh City University of Pedagogy | Nguyen D.-A.P.,Thu Dau Mot University | Hoang V.-H.,Ho Chi Minh City University of Pedagogy | Le V.-H.,Ton Duc Thang University
Physica B: Condensed Matter | Year: 2016

Explicit expressions are given for analytically describing the dependence of the energy of a two-dimensional exciton on magnetic field intensity. These expressions are highly accurate with the precision of up to three decimal places for the whole range of the magnetic field intensity. The results are shown for the ground state and some excited states; moreover, we have all formulae to obtain similar expressions of any excited state. Analysis of numerical results shows that the precision of three decimal places is maintained for the excited states with the principal quantum number of up to n=100. © 2016 Elsevier B.V. All rights reserved.

Nguyen T.-K.,Ho Chi Minh City University of Technology and Education | Nguyen B.-D.,Thu Dau Mot University
Journal of Sandwich Structures and Materials | Year: 2015

This paper presents a new higher-order shear deformation theory for static, buckling and free vibration analysis of functionally graded sandwich beams. In this theory, the axial displacement accounts for a third-order and inverse trigonometric distribution, and the transverse shear stress satisfies the traction-free boundary conditions on the top and bottom surfaces of the beams. Governing equations of motion are derived from the Hamilton’s principle for sandwich beams with homogeneous hardcore and softcore. Navier-type solution for simply-supported beams is developed to solve the problem. Numerical results are obtained to investigate effects of the power-law index, span-to-height ratio and thickness ratio of layers on the displacements, stresses, critical buckling load and frequencies. © 2015, © The Author(s) 2015.

Dinh T.T.H.,Thu Dau Mot University | Chu T.H.,Hanoi University | Nguyen Q.U.,Hanoi University
2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings | Year: 2015

Transfer learning is a process in which a system can apply knowledge and skills learned in previous tasks to novel tasks. This technique has emerged as a new framework to enhance the performance of learning methods in machine learning. Surprisingly, transfer learning has not deservedly received the attention from the Genetic Programming research community. In this paper, we propose several transfer learning methods for Genetic Programming (GP). These methods were implemented by transferring a number of good individuals or sub-individuals from the source to the target problem. They were tested on two families of symbolic regression problems. The experimental results showed that transfer learning methods help GP to achieve better training errors. Importantly, the performance of GP on unseen data when implemented with transfer learning was also considerably improved. Furthermore, the impact of transfer learning to GP code bloat was examined that showed that limiting the size of transferred individuals helps to reduce the code growth problem in GP. © 2015 IEEE.

Hai N.M.,Thu Dau Mot University | Fellenius B.H.,2475 Rothesay Avenue
Geotechnical Special Publication | Year: 2014

Static loading tests using single-level O-cells were carried out in mid-2008 on two bored piles constructed at the Binh Loi Bridge, crossing the Saigon River at Ho Chi Minh City, Vietnam. The soils consist of surficial layers of soft clay and silt to 11 and 15 m depth on compact silty sand to about 55 m depth followed by dense to very dense silty sand. Two bored piles, 2.0 m and 1.5 m in diameter, were installed to 73.5 m and 73.0 m depth, respectively, and constructed using reverse circulation technique and bucket drill with casing advanced ahead of the hole. Drilling slurry was composed of polymer slurry for the 2.0-m diameter pile and bentonite slurry for the 1.5-m diameter pile. For both piles, the O-cell assembly was attached to a reinforcing cage lowered into the stabilized hole to 11.4 and 11.6 m, respectively, above the pile toe, five and two days after completing drilling and cleaning, respectively. Each reinforcing cage was instrumented with two pairs of diametrically opposed vibrating wire strain gauges at three levels below and five levels above the O-cell level. The static loading tests were performed 49 and 28 days, respectively, after the piles had been concreted. The strain-gauge records, when based on the nominal pile diameters, indicated Young's modulus values of about 25 GPa for the nominal cross-sections of the piles. Analysis of the records showed that residual load had developed during the wait time. The unit shaft resistance above the O-cell for the 2.0 m diameter, polymer-slurry constructed pile was moderately larger than that for the 1.5-m diameter, bentonite-slurry constructed pile. Detailed analysis showed the shaft resistance to be post-peak softening. The pile toe stress-movement responses were essentially linear and almost identical for the two piles. © 2014 American Society of Civil Engineers.

Dinh T.T.H.,Thu Dau Mot University | Cao T.P.A.,Thu Dau Mot University | Bui T.L.,Thu Dau Mot University
2013 3rd World Congress on Information and Communication Technologies, WICT 2013 | Year: 2013

Time Series Forecasting is an area being concerned by the researchers. Recently, many time series forecasting solutions have been given, but the forecasting accuracy of these solutions needs to be taken into consideration. In this paper, we propose an evolutionary ensemble-based model and experimented it on four sets of test data on exchange rates (USD, NZD, USD and YEN) against the AUD. We applied differential evolution for finding the set of neural networks that have the best fitness value, we also used backpropagation for the local search. The results showed that ensemble learning model was able to generate the better forecasting results than using ANN with BP or ANN with DE only. © 2013 IEEE.

Nguyen T.B.T.,Thu Dau Mot University | Nguyen T.T.C.,Industrial University of Ho Chi Minh City | Tran H.C.,Vietnam Academy of Science and Technology | Nguyen C.K.,Vietnam Academy of Science and Technology | Tran N.Q.,Vietnam Academy of Science and Technology
International Journal of Polymer Analysis and Characterization | Year: 2015

We established two formulas to predict molecular weight of polyaminoamine dendrimers and their alkylated derivatives, based on the theoretical number of protons at specific positions in the dendrimers and the true value of the integral values of these protons appearing in proton nuclear magnetic resonance spectra. Calculated results indicated that molecular weight of the dendrimers is approximately equal to results from mass spectrometry. Degrees of alkylation were easily calculated for each dendrimer-alkylated derivative. According to the obtained results, we confirm that the use of the proton spectra can be an effective method to predict molecular weight of dendrimers. Copyright © Taylor & Francis Group, LLC.

Duc D.V.,Institute of Physics | Giao N.M.,Center for Nuclear Techniques | Dung T.T.,Thu Dau Mot University
International Journal of Theoretical Physics | Year: 2014

The mass spectrum for spinor fields in extra dimensions is considered within the framework of the mass creation mechanism proposed in our previous works (Duc and Giao 2013; Duc and Giao J. Mod. Phys. 4(N7), 991, 2013; Duc et al. J. Phys Sci. Appl. (USA) 4(N1), 60, 2014; Duc and Giao J. Mod. Phys. 5(N6), 2014). It is shown that a single spinor field in the whole space-time with extradimensions corresponds to a set of multiplets of effective spinor fields in ordinary 4-dimensional space-time with masses obeying the sum rule expressed in terms of metric for extradimensions and parameter functions dictated from the periodicity conditions. © 2014 Springer Science+Business Media New York.

Loading Thu Dau Mot University collaborators
Loading Thu Dau Mot University collaborators