Engineering data

This study develops a decision support system, named Academic Quality Assurance, for supporting the analyzing of data collected from multiple semesters. The system focuses on assisting users in filtering data based on semesters, courses, departments, and programs, and then visualizing the data, providing comparisons.

13p viling 11-10-2024 2 0   Download

The prediction of ground settlement under tunnel excavation is still challenge. Almost engineer uses Mohr-Coulomb model in practice due to the conventional geotechnical investigation data. This paper describes the study of tunnel lining behaviors and ground surface settlement under tunneling process with a typical case study of twin tunnels excavation in Ho Chi Minh city, Vietnam.

11p vibecca 01-10-2024 0 0   Download

The most rigorous effective medium approximations for elastic moduli are elaborated for matrix composites made from an isotropic continuous matrix and isotropic inclusions associated with simple shapes such as circles or spheres. In this paper, we focus specially on the effective elastic moduli of the heterogeneous composites with arbitrary inclusion shapes.

13p vifilm 24-09-2024 2 1   Download

In this study, a supervised learning ANFIS model was developed to predict the compressive strength of concrete at 28 days. Data used in training and testing model were collected from a previous study.

13p vifilm 24-09-2024 5 1   Download

This paper describes a method to predict the fire resistance ratings of the wooden floor assemblies using Artificial Neural Networks. Experimental data collected from the previously published reports were used to train, validate, and test the proposed ANN model.

12p vifilm 24-09-2024 1 1   Download

Timely monitoring the large-scale civil structure is a tedious task demanding expert experience and significant economic resources. Towards a smart monitoring system, this study proposes a hybrid deep learning algorithm aiming for structural damage detection tasks, which not only reduces required resources, including computational complexity, data storage but also has the capability to deal with different damage levels.

12p vifilm 24-09-2024 3 1   Download

This study has used a questionnaire to collect data for the occurrence and effect of these factors on project performance. Based on the literature review, there are a total of 28 initial factors filtered. These factors were classified into four cases: environment, clients, consultants, and contractors.

16p vifilm 24-09-2024 2 1   Download

this study proposed a hybrid machine learning model which is based on k-nearest neighbors (KNN) and Bayesian optimization (BO), named as BOKNN, for predicting the local damages of reinforced concrete (RC) panels under missile impact loading.

14p vifilm 24-09-2024 3 2   Download

This study develops a probabilistic data-driven approach using the Multiple Layer Perceptron network coupled with the Dropout mechanism to perform the pushover analysis of reinforced concrete (RC) frame structures, predicting base shear, lateral displacement, as well as their relationship between the two formers.

11p vifilm 24-09-2024 4 1   Download

In this paper, therefore, given experimental data STCC columns, the authors used four useful AI models to estimate the axial strength in the STCC columns. Particularly, artificial neural networks (ANNs), support vector regression (SVR), linear regression (LR), and M5P were applied in this study.

14p vifilm 24-09-2024 2 1   Download

Several conventional research methods such as data collection, analysis, statistics, comparison, studies of historical experience and forecasting for a reconsideration of the values and usability of bamboo in traditional housing and modern architecture are introduced in the paper in order to accomplish the objectives to be set.

7p viyoko 24-09-2024 3 1   Download

This study aimed to apply the Variable Infiltration Capacity (VIC) hydrological model for simulating the daily river flow during the period of 2005-2014 for the Red River System, Vietnam.

7p viyoko 24-09-2024 3 1   Download

In this study, the capability of satellite-gauge merging precipitation using GSMaP-MVK and local dense rain gauge data with bias reduction approach to evaluate the AMP is investigated.

10p viyoko 24-09-2024 1 1   Download

This paper presents the data processing method using Hilbert Huang Transform (HHT) algorithm in determining a time-dependent frequencies of steel frame. The vibration experiment for steel frame was conducted in this study.

10p viyoko 24-09-2024 2 1   Download

In addition, the advantages of the RTK technique have helped overcome the difficulties of traditional topographic surveying using a total station or theodolite and leveling devices, especially in terms of time and cost efficiency.

13p vifaye 20-09-2024 6 1   Download

This study constructed two predictive models using artificial neural networks to forecast the compressive strength based on input parameters including data on fly ash, silica fume and temperature (1); to predict the contents of fly ash and silica fume based on input parameters of compressive strength and working temperature (2).

16p vifaye 20-09-2024 1 1   Download

This study presents an effective method based on long short-term memory to reduce the computational cost in nonlinear static analysis of functionally graded plates. Data points representing a load-deflection curve in a dataset are generated through isogeometric analysis.

17p vifaye 20-09-2024 1 1   Download

Vietnam experiences increasing droughts throughout the dry season due to climate change, global warming, and human-caused activities like urbanization and deforestation. Drought hazard significantly impacts socioeconomic, agriculture, and the environment; it directly threatens human lives, livelihoods, food security, and environmental degradation.

13p vifaye 20-09-2024 4 1   Download

Using a data-driven approach to study and predict the shear strength of slender steel fiber reinforced concrete beams has great applicability for the design and construction process. Based on the data-driven approach, an Artificial Neural Network (ANN) model with some hyperparameters optimized by Particle Swarm Optimization (PSO) algorithm is successfully built.

12p vifaye 20-09-2024 2 1   Download

This paper presents the application of TLS for the assessment of the bearing capacity of the newly built bridges before being put into operation. The process of collecting and processing point cloud data and analyzing bridge deflection during static load testing is mentioned in the article systematically and completely.

12p vifaye 20-09-2024 1 1   Download