This paper presents experimental results of narrow gap butt welding of steel plates with greater thickness by using the Metal Active Gas (MAG) welding method. The mechanical properties of the welding joints were examined by metallographic method using the microhardness investigated in some specific submicro structure subzones, such as the weld center zone, heat-affected zone (HAZ), base metal region, and the boundary between the weld metal and the HAZ. The experiment results higlighted the graphical relation between the microhardness and the measuring distance in different subzones. The finding helps to forcast the quality and the loadability of the welding construction.
Bài viết khái quát những nghiên cứu điển hình về tác động của ERP tới kế toán quản trị doanh nghiệp trên thực tế, tiến hành phân tích và đưa ra những đề xuất phục vụ cho nghiên cứu triển khai kế toán quản trị xoay quanh ứng ứng dụng ERP tại doanh nghiệp trong thời gian tới.
Bài viết này đề cập đến các cách nhận diện chi phí hàng tồn kho đặc trưng trong kế toán quản trị, từ đó so sánh với cách nhận diện chi phí hàng tồn kho trong kế toán tài chính để thấy được mục đích, vai trò của các cách nhận diện chi phí này trong việc đáp ứng nhu cầu của các nhà quản trị.
The impact of different rice husk ash contents (5, 10, 20%) on mortar strength is examined at different elevated temperatures (150, 300, 450, 750oC). Based on a 45 experimental result data set, three machine learning algorithms including the Artificial Neural Network (ANN), the Least Squares Support Vector Regression (LS-SVR) and the Multivariate Adaptive Regression Splines (MARS) have been used to model the functional relationship between the mixture components and the compressive strength. As a result, it is shown that LS-SVR consists in the most capable approach for modeling mortar strength with a good value of coefficient of determination (R2) = 0.80. Accordingly, this machine learning approach is potential to be used in RHA contained mix design by construction engineers.
Gradation strongly influences the mechanical properties of stone materials. This paper aims to employ image processing methods to develop a simple tool for automatic gradation of stone aggregates. The methods of image thresholding, Gaussian filtering, median filtering, morphological closing, and contour analysis are employed. The output of the newly constructed system is the plots demonstrating particle size distribution. These plots can be used for further inspection of aggregate gradation. The system has been developed in Python and with the help of the OpenCV library.
Regression analysis is an essential task in construction engineering. This article aims at reviewing state-of-the-art research works involving the use of metaheuristic optimized machine learning regression models. Recent research articles published in the time period of 2019-2021 are surveyed. Research areas of construction material, construction management, structural engineering, geotechnical engineering, hydraulic engineering, and structural health monitoring are taken into account. It is expected that the present review would enhance interest among the new users in the application of metaheuristic optimized machine learning regression approaches.
In this paper, we present two different approaches to h-adaptively refine triangular finite element messes. These two strategies are designed to keep the shape regularity of the meshes almost the same and to preserve the sparsity pattern of the resulting system of equations.
In this work, the influences of boric acid and high alumina cement used as modifying additives on the formation of CaO∙Al2O3 and CaO∙2Al2O3 were studied. Herein, commercially available chalk of the M-90 label and technical alumina of the G-0 label were utilized as initial raw materials. Heat treatment of powder mixtures with various concentrations of modifying additives was carried out in the temperature range of 1250-1350oC with an isothermal exposure times of 1h and 2h. It was found that the addition of additives into the raw mixture affected the ratio of target phases and the temperature interval of the phase formation of calcium-aluminate minerals.
This literature review aimed to synthesize the research findings related to simulation challenges in medical education and provide recommendations to overcome these difficulties. Methods: Eleven articles were reviewed after searching from databases of CINAHL, MEDLINE, and Google Scholar. Results: Four themes were revealed, namely, student disengagement, human resources, technical issues, and time constraints. Based on these findings, recommendations were provided to help readers overcome the inherent challenges of simulation-based training. Conclusion: Besides the benefits that simulation brings to medical education, many challenges exist. Educators need to discover, test, and find ways to improve existing challenges.
