CSDL Bài trích Báo - Tạp chí
Khoa Xây Dựng
1 Applications of Google OR-Tools in solving construction management linear optimization problems = Ứng dụng công cụ Google OR-Tools trong giải các bài toán tối ưu hóa tuyến tính trong quản lý dự án xây dựng / Hoang Nhat Duc, Nguyen Quoc Lam // .- 2021 .- Số 06(49) .- P. 3-7 .- 692
This study demonstrates the application of Google OR-Tools as a powerful, easy-to-use, and open source software suite in tackling linear programs. Herein, this open source tool has been integrated with Visual C# programming and the optimization models are formulated in Microsoft Visual Studio. Two optimization case studies are used in this study to illustrate the implementation of the Google OR-Tools.
2 Experimental study on influence of rice husk ash on mortar compressive strength at different temperatures = Nghiên cứu thực nghiệm ảnh hưởng của tro trấu tới cường độ của vữa ở các nhiệt độ khác nhau / Tran Thu Hien // .- 2022 .- Số 03(52) .- P. 51-59 .- 624
An experimental study on compressive strength of mortar mixes containing different amounts of rice husk ash (5, 10, 20%) has been investigated. The impact of different elevated temperatures (150, 300, 450, 750oC) on mortar strength is also examined. The experiments found that RHA can be used in its untreated form up to 10% as cementitious replacement without detriment of mortar compressive strength.
3 Artificial neural network with adaptive moment estimation training approaches for prediction of punching shear capacity of steel fibre reinforced concrete slabs = Sử dụng mạng nơ-ron thần kinh nhân tạo với phương pháp huấn luyện ước tính mô men tự thích n / Hoang Nhat Duc // .- 2022 .- Số 03(52) .- P. 18-22 .- 690
stimating punching shear capacity (PSC) of steel fibre reinforced concrete slabs (SFRCS) is a crucial task in structural design. This study investigates the performances of artificial neural networks trained by the adaptive moment estimation (Adam) method in dealing with the task of interest. To alleviate overfitting problem, decoupled weight decay (AdamW) and L2 regularization (AdamL2) are used.
4 Influence of rice husk ash on mortar compressive strength at different temperatures : machine learning based modelling = Ảnh hưởng của tro trấu tới cường độ của vữa ở các nhiệt độ khác nhau : mô hình hóa bằng máy học / Tran Thu Hien, Hoang Nhat Duc // .- 2022 .- Số 05(54) .- P. 27-36 .- 624
This research is dedicated to the extension of the body of knowledge by proposing the application of three machine learning models for predicting compressive strength of mortar mixtures containing RHA. The Artificial Neural Network (ANN), Least Squares Support Vector Regression (LS-SVR) and Multivariate Adaptive Regression Splines (MARS) models were selected.
5 Image processing-based automatic gradation of stone aggregates = Tự động hóa việc xác định cấp phối hạt của cốt liệu đá sử dụng kỹ thuật xử lý ảnh / Hoang Nhat Duc, Nguyen Quoc Lam, Pham Quang Nhat // .- 2022 .- Số 05(54) .- P. 37-42 .- 624
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.
6 A review of metaheuristic optimized machine learning regression with applications in construction engineering = Khảo sát các mô hình học máy được tối ưu hóa bởi các thuật toán tìm kiếm với ứng dụng cho phân tích hồi quy trong ngành xây dựng / Hoang Nhat Duc, Nguyen Quoc Lama, Tran Van Duc // .- 2022 .- Số 05(54) .- P. 43-49 .- 624
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.
7 Strand breakage detection in prestressed multi-strand anchorage structures using PZT interface technique = Chẩn đoán sự hư hỏng tao cáp dự ứng lực trong vùng neo cáp sử dụng hiệu trở kháng / Phan Ngoc Tuong Vy, Dang Ngoc Loi // .- 2023 .- Số 01(56) .- P. 27-35 .- 624
In this paper, the implementation of the PZT interface technique for monitoring strand breakage in a prestressed concrete anchorage zone is presented. First, the fundamental of the PZT interface for impedance monitoring is briefly reviewed. Second, a FE (finite element) analysis of a multi-strand concrete anchorage equipped with an array of PZT interfaces is analyzed to obtain impedance signatures under a series of strand breakage events. Last, variations in impedance responses of the PZT array are quantified using root-mean-square-deviation (RMSD), and the linear tomography analysis of impedance’s RMSD indices is utilized to localize damage strands.
8 Kernel regression models developed with Visual C# .NET for data analysis in construction engineering = Các mô hình hồi quy dựa vào hàm nhân được phát triển với ngôn ngữ Visual C# .NET và ứng dụng cho phân tích dữ liệu trong ngành xây dựng / Hoang Nhat Duc, Nguyen Quoc Lam // .- 2023 .- Số 01(56) .- P. 47-53 .- 624
This research work relies on kernel regression methods for constructing nonlinear regression models. These models can be used to solve function approximation tasks in construction engineering. The newly developed software program was developed with the Visual C# .NET. The program has been tested with the task of estimating the punching shear strength of steel fibre reinforced concrete slab.
9 Image processing based concrete crack classification using Logistic Regression model = Phân loại vết nứt trên cấu kiện bê tông sử dụng kỹ thuật xử lý ảnh và mô hình hồi quy lô-git-tíc / Hoang Nhat Duc // .- 2021 .- Số 02 (45) .- P. 3-6 .- 690
This study develops an alternative model based on image edge detection, projection integral, and logistic regression approaches for recognizing and categorizing cracks on concrete surface. The integrated model has been developed using Visual C#.NET and tested with 200 real-world image samples.
10 Iteratively reweighted multiple linear regression with applications in civil engineering data modeling = Phân tích hồi quy có trọng số với các ứng dụng vào mô phỏng dữ liệu trong ngành xây dựng / Hoang Nhat Duc // .- 2021 .- Số 02(45) .- P. 16-22 .- 624
This study develops a computer program and implements the iteratively reweighted least squares (IRLS) used for fitting multiple linear regression models. The capability of the combined model, IRMLR, is demonstrated using two artificial datasets and two real-world applications. The results indicate that the IRMLR model can be a useful tool to assist civil engineers in the task of data modeling.