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Reduction of cement consumption by producing smart green concretes with natural zeolites
Nguyen Thoi Trung,Nima Alemi,James H. Haido,Mahdi Shariati,Seyedata Baradaran,Salim T. Yousif 국제구조공학회 2019 Smart Structures and Systems, An International Jou Vol.24 No.3
This study was carried out to evaluate the natural zeolite in producing green concrete as an effort to prevent global warming and environmental impact problems of cement industries. To achieve this target, two types of natural zeolites applied to study physical, chemical and compressive strength of concrete containing different percentages of zeolites. The results in comparison with control samples indicate that compressive strength of zeolites mixes increases with the 15% replacement of zeolite instead of cement in all types of samples. In the water-cement ratio of 0.6, results showed an increase in the compressive strength of all percentages of replacement. This results indicate that using natural zeolites could be produced a green concrete by a huge reduction and saving in the consumption of cement.
Duc, Nguyen Dinh,Lee, Jaehong,Nguyen-Thoi, T.,Thang, Pham Toan Elsevier 2017 AEROSPACE SCIENCE AND TECHNOLOGY Vol.68 No.-
<P><B>Abstract</B></P> <P>In the present article, static response and free vibration of functionally graded carbon nanotube reinforced composite (FG-CNTRC) rectangular plate resting on Winkler–Pasternak elastic foundations using an analytical approach are studied. The rectangular plates are reinforced by single-walled carbon nanotubes (SWCNTs) which are assumed to be graded through the thickness direction with four types of distributions. The mathematical model of the FG-CNTRC plate is developed based on the first-order shear deformation plate theory (FSDT) and Hamilton principle. By using Navier solution, the governing equations are solved to obtain the central deflection and the natural frequency parameters. Several examples are verified to have higher accuracy than those from the previous method in the literature. Also, the effects of different parameters on static response and natural frequency of FG-CNTRC plate are highlighted by solving numerous examples. Finally, these new results may serve as benchmarks for future investigations.</P>
T. Nguyen-Thoi,P. Phung-Van,V. Ho-Huu,L. Le-Anh 대한토목학회 2015 KSCE JOURNAL OF CIVIL ENGINEERING Vol.19 No.3
The paper presents an extension of the Edge-based Smoothed Finite Element Method (ES-FEM-T3) using triangular elements forthe dynamic response analysis of two-dimension fluid-solid interaction problems based on the pressure-displacement formulation. Inthe proposed method, both the displacement in the solid domain and the pressure in the fluid domain are smoothed by the gradientsmoothing technique based on the smoothing domains associated with the edges of the triangular elements. Thanks to the softeningeffect of the gradient smoothing technique used in the ES-FEM-T3, the numerical solutions for the coupled systems by the ES-FEMT3are improved significantly compared to those by some other existing FEM methods.
T. Nguyen-Thoi,T. Bui-Xuan,P. Phung-Van,S. Nguyen-Hoang,H. Nguyen-Xuan 대한토목학회 2014 KSCE JOURNAL OF CIVIL ENGINEERING Vol.18 No.4
The edge-based strain smoothing technique is combined with the three-node Mindlin plate element (MIN3) to give a so-called theedge-based smoothed three-node Mindlin plate element (ES-MIN3) for static and free vibration analyses of plates. In the formulationof the ES-MIN3, the MIN3 together with a shear stabilized technique is used to compute the strains and to avoid the shear locking. Then the strain smoothing technique on the smoothing domains associated with edges of elements is used to smooth the strains on theadjacent elements. This strain smoothing technique can provide proper softening effect, which will effectively relieve the stiffbehavior of the MIN3 and thus improve significantly the accuracy of solutions. The numerical examples demonstrated that the ESMIN3is free of shear locking, passes the patch test and shows three superior properties such as: (1) be a strong competitor to othersexisting plate elements in the static analysis; (2) can give high accurate solutions in free vibration analysis; (3) can provide accuratelythe values of high frequencies of plates by using only coarse meshes.
Estimation of moment and rotation of steel rack connections using extreme learning machine
Mahdi Shariati,Nguyen Thoi Trung,Karzan Wakil,Peyman Mehrabi,Maryam Safa,Majid Khorami 국제구조공학회 2019 Steel and Composite Structures, An International J Vol.31 No.5
The estimation of moment and rotation in steel rack connections could be significantly helpful parameters for designers and constructors in the initial designing and construction phases. Accordingly, Extreme Learning Machine (ELM) has been optimized to estimate the moment and rotation in steel rack connection based on variable input characteristics as beam depth, column thickness, connector depth, moment and loading. The prediction and estimating of ELM has been juxtaposed with genetic programming (GP) and artificial neural networks (ANNs) methods. Test outcomes have indicated a surpass in accuracy predicting and the capability of generalization in ELM approach than GP or ANN. Therefore, the application of ELM has been basically promised as an alternative way to estimate the moment and rotation of steel rack connection. Further particulars are presented in details in results and discussion.
( Vu Van Thoi ),( Vu Van Giap ),( Nguyen Huu Uoc ),( Pham Tien Quan ) 대한결핵 및 호흡기학회 2020 대한결핵 및 호흡기학회 추계학술대회 초록집 Vol.128 No.-
Lung transplantation has become an increasingly important mode of therapy for patients with a variety of end-stage lung diseases. However, airway complications reduced the post-transplant survival rate. The most common risk factor associated with post-lung transplantation airway complications is anastomotic ischemia and infections. Airway complications include the development of exophytic granulation tissue, bronchial stenosis, broncho malacia, airway fistula, endobronchial infection, and anastomotic dehiscence. The role of bronchoscopy in the diagnosis and management of airway complications is very important. This article reviews the risk factors, describes clinical manifestations, bronchoscopy, and efficacy treatments of airway complications following lung transplantation in Viet Nam through a few clinical successful cases.
Moment rotation prediction of precast beam to column connections using extreme learning machine
Maryam Safa,Nguyen Thoi Trung,Ayub Shahgoli Fazli,Yousef Zandi,Mahdi Shariati,Karzan Wakil,Majid Khorami 국제구조공학회 2019 Structural Engineering and Mechanics, An Int'l Jou Vol.70 No.5
The performance of precast concrete structures is greatly influenced by the behaviour of beam-to-column connections. A single connection may be required to transfer several loads simultaneously so each one of those loads must be considered in the design. A good connection combines practicality and economy, which requires an understanding of several factors; including strength, serviceability, erection and economics. This research work focuses on the performance aspect of a specific type of beam-to-column connection using partly hidden corbel in precast concrete structures. In this study, the results of experimental assessment of the proposed beam-to-column connection in precast concrete frames was used. The purpose of this research is to develop and apply the Extreme Learning Machine (ELM) for moment-rotation prediction of precast beam-to-column connections. The ELM results are compared with genetic programming (GP) and artificial neural network (ANN). The reliability of the computational models was accessed based on simulation results and using several statistical indicators.
( Pham Thanh Thoi ),( Tran Dinh Lam ),( Nguyen Hong Truc ) 부산외국어대학교 아세안연구원 2024 Suvannabhumi Vol.16 No.1
Globalization and the flow of foreign direct investment (FDI) in the post-pandemic context continue to play a critical role in shaping the workforce of emerging countries. In Vietnam, evidence obtained during the pandemic revealed that the well-being of employees, especially migrant workers, was extremely poor due to both work and non-work factors. This paper examines the most significant factors that impact the well-being of workers employed by various FDI companies in two Vietnamese industrial parks. The survey evidence (n=200) shows that worker well-being is influenced by seven key factors categorized in three dimensions, namely material stressors, social stressors, and human stressors. A further qualitative analysis of 60 participants provides an understanding of the ways in which each factor affects workers’ well-being and how elements of well-being in the Vietnamese context are different compared with other countries. Low salaries, lack of social support, work-life imbalance due to job demands, and the interplay between these three determinants significantly affect the overall well-being of workers. In the current business climate, it is important to have well-targeted policies that encourage high-tech investments as well as persuade domestic firms to address low salaries and economic migration. To manage valuable human resources and keep competitive advantages, foreign firms need to authentically implement corporate social responsibility (CSR) initiatives focusing on workers’ benefits, especially providing workforce housing. This will bring about win-win outcomes of improved employee well-being and business sustainability.