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Viet-Linh Tran

vinh university

H指数:17

被引数:1,006

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Efficient graph neural networks for predicting the responses of truss structures

高效图神经网络用于预测桁架结构的响应

Engineering with Computers

IF4.9

2026-06-080

PRE

Numerical Investigation on Steel T-stub Connection Considering Prying Action at Elevated Temperatures

考虑高温下拉开效应的钢T型连接的数值研究

International Journal of Steel Structures

IF1.4

2026-04-010

PRE

A novel scalable graph neural network for response prediction of structures with different topologies

一种新颖的可扩展图神经网络，用于预测不同拓扑结构构件的响应

Engineering Structures

IF6.4

2025-08-140

PRE

Robustness of hybrid light gradient boosting for concrete creep compliance prediction

ADVANCES IN ENGINEERING SOFTWARE

IF5.7

2025-03-010

PRE

Prediction and reliability analysis of ultimate axial strength for outer circular CFRP-strengthened CFST columns with CTGAN and hybrid MFO-ET model

基于CTGAN和混合mfo-et模型的外圆CFRP加固CFST柱极限轴向强度预测及可靠性分析

EXPERT SYSTEMS WITH APPLICATIONS

IF7.5

2025-03-010

PRE

Mid-span displacement and damage degree predictions of RC beams under blast loading using machine learning-based models

IF4.3

2024-07-012

PRE

Hybrid machine learning with Bayesian optimization methods for prediction of patch load resistance of unstiffened plate girders

PROBABILISTIC ENGINEERING MECHANICS

IF3.5

2024-04-014

PRE

Machine learning-based model for moment capacity prediction and reliability analysis of PSC beams

IF4.3

2024-04-014

PRE

Efficient framework for ultimate strength prediction and production-based CO2 emission optimization of CFST columns using categorical boosting algorithm and moth flame optimization

COMPOSITE STRUCTURES

IF7.1

2024-04-013

PRE

Hybrid machine learning models for classifying failure modes of unstiffened steel plate girders subjected to patch loading

IF4.3

2024-01-019

PRE

Failure Mode Identification and Shear Strength Prediction of Rectangular Hollow RC Columns Using Novel Hybrid Machine Learning Models

IF3.1

2023-11-226

OA

Ensemble machine learning-based models for estimating the transfer length of strands in PSC beams

EXPERT SYSTEMS WITH APPLICATIONS

IF7.5

2023-07-0115

PRE

Development of Hybrid Machine Learning Models for Predicting Permanent Transverse Displacement of Circular Hollow Section Steel Members under Impact Loads

IF3.1

2023-05-268

OA

Innovative formulas for reinforcing bar bonding failure stress of tension lap splice using ANN and TLBO

CONSTRUCTION AND BUILDING MATERIALS

IF8

2023-03-019

PRE

Prediction of the ultimate axial load of circular concrete-filled stainless steel tubular columns using machine learning approaches

STRUCTURAL CONCRETE

IF3.3

2023-01-1111

OA

Rapid prediction of the ultimate moment of flush endplate connections at elevated temperatures through an artificial neural network

EXPERT SYSTEMS WITH APPLICATIONS

IF7.5

2022-11-018

PRE

Novel hybrid MFO-XGBoost model for predicting the racking ratio of the rectangular tunnels subjected to seismic loading

TRANSPORTATION GEOTECHNICS

IF5.5

2022-11-0131

PRE

Patch loading resistance prediction of steel plate girders using a deep artificial neural network and an interior-point algorithm

STEEL AND COMPOSITE STRUCTURES

IF3.9

2022-10-256

PRE

Revealing the nonlinear behavior of steel flush endplate connections using ANN-based hybrid models

JOURNAL OF BUILDING ENGINEERING

IF7.4

2022-10-0115

PRE

Machine Learning Models for Predicting Shear Strength and Identifying Failure Modes of Rectangular RC Columns

用于预测矩形RC柱的抗剪强度和识别破坏模式的机器学习模型

IF3.1

2022-09-2020

OA