CSDL Bài trích Báo - Tạp chí
chủ đề: Civil engineering
1 Comparative evaluation of confinement models for reinforced concrete columns using nonlinear simulations in OpenSees=Đánh giá so sánh các mô hình kiềm chế nở ngang cho cột bê tông cốt thép bằng mô phỏng phi tuyến sử dụng OpenSees / Pham Phu Anh Huy // .- 2026 .- Số 02(75) .- Tr. 56-70 .- 624
This study presents a numerical evaluation of the axial behaviour of reinforced concrete (RC) columns confined with five widely used constitutive models (Mander et al., Attard & Setunge, Samani & Attard, Cusson & Paultre, and an unconfined reference) under eccentric compression and varying axial-load ratios.
2 A multilevel image thresholding approach using history-based adaptive differential Evolution with linear population size reduction algorithm / Hoang Nhat Duc // .- 2020 .- No. 04(41) .- P. 73-77 .- 624
This study aims at developing a metaheuristic based image thresholding method via the employments of the History-Based Adaptive Differential Evolution with Linear population size reduction algorithm (LSHADE) and the Otsu objective function. The LSHADE algorithm is used to determine an appropriate set of threshold levels that maximizes the separation between clusters of pixels. Experimental results with four applications demonstrate the usefulness of the newly developed tool.
3 Automatic time-cost trade-off for construction projects using evolutionary algorithm integrated into a scheduling software program developed with .NET framework / Hoang Nhat Duc // .- 2020 .- No. 02(40) .- P. 3-8 .- 624
This article aims at developing an open tool for performing CPM based project scheduling visualization and time-cost tradeoff analysis. The success-history based parameter adaptation for Differential Evolution with linear population size reduction, denoted as LSHADE, is used for automatic time-cost tradeoff optimization. The new tool has been developed with .NET framework 4.6.2.
4 An experimental investigation of sensor fault assessment for piezoelectric interface-based structural health monitoring / Phan Ngoc Tuong Vy, Tran Van Duc, Huynh Thanh Canh // .- 2020 .- No. 02(39) .- P. 3-10 .- 624
This study presents an experimental investigation on sensor fault diagnosis for piezoelectric interface-based SHM. Firstly, an impedance monitoring method via the smart piezoelectric interface is introduced. Secondly, experiments are conducted on a steel bolted connection to investigate the effect of sensor defects on impedance responses. Finally, an impedance feature is extracted and used to diagnose and differentiate the sensor defects from the structural damages.
5 CHDE Excel solver : differential evolution with feasibility rules for optimizing cantilever retaining wall design / Hoang Nhat Duc, Le Cong Hai // .- 2020 .- No. 02(39) .- P. 11-16 .- 624
This study employs the Differential Evolution (DE) metaheuristic coupled with feasibility rules proposed by Mezura-Montes, et al. [1] to tackle the problem of interest. To enhance the applicability of the newly developed tool, a CHDE Excel solver incorporating the DE and Mezura-Montes rules has been constructed in Excel VBA platform.
6 Metaheuristic based resource leveling using CPM project scheduling software program developed in .NET framework / Hoang Nhat Duc // .- 2020 .- No. 02(39) .- P. 24-29 .- 624
This article aims at developing an open tool for performing CPM based project scheduling and visualization as well as resource leveling. The success-history based parameter adaptation for Differential Evolution with linear population size reduction, denoted as LSHADE, is used for optimizing project schedules with the focus on minimizing resource fluctuations.
7 Training deep neural network for regression analysis with the generalized delta rule : a case study in modeling the shear strength of soil = Huấn luyện mạng nơ-ron thần kinh nhân tạo sâu dùng cho phân tích hồi quy dựa trên quy tắc delta khái quát: ứng dụn / Hoang Nhat Duc, Tran Xuan Linh, Nguyen Quoc Lam // .- 2023 .- Số 03 (58) - Tháng 6 .- P. 23-30 .- 690
This article presents the method for training a deep artificial neural network (DANN) for regression analysis; this method is based on the generalized delta rule. To illustrate the rule, a DANN with two hidden layers is used. The model’s construction is described in the form of mathematical equations. Subsequently, a DANN program is written in Visual C# .NET. This program is tested with the task of estimating the shear strength of soil samples.
8 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.
9 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.
10 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.