Thông tin nhà nghiên cứu KH&CN

Development of an adaptive reliability analysis framework for reinforced concrete frame structures using uncertainty quantification

Development of an automatic and knowledge-infused framework for structural health monitoring based on prompt engineering

Efficient reliability analysis method for non-linear truss structures using machine learning-based uncertainty quantification

Assessment of Axial-Flexural Behavior of Reinforced Concrete Column Wrapped with CFRP Using Probabilistic Machine Learning Model

Forecasting Measured Sensor Responses of Structures Using Temporal Deep Learning and Dual Attention

An Efficient k-NN-based Rao Optimization Method for Optimal Discrete Sizing of Truss Structures

Multi-task framework for vibration-based structural damage detection of spatial truss structure using graph learning

Multi-task framework for vibration-based structural damage detection of spatial truss structure using graph learning

Vibration-based building health monitoring using spatio-temporal learning model

Tính toán giới hạn chịu lửa của dầm bê tông cốt thép tiết diện chữ nhật theo tiêu chuẩn thiết kế SP 468.1325800.2019

Phương pháp đa nhiệm xác định hư hỏng trong kết cấu giàn sử dụng dữ liệu định hướng

Khảo sát hiệu quả phân tích dầm chuyển ứng lực trước đồng thời với khung bê tông cốt thép

Ứng dụng điểm ảnh xác định chuyển vị của kết cấu trong quá trình thí nghiệm

Ước lượng tính chất hiệu quả của vật liệu bê tông trong xây dựng từ các hình ảnh chụp cắt lớp trong phòng thí nghiệm,

An innovative blockchain-based traceability framework for industry 4.0 cyber-physical factory

Numerical simulation and simplified approach to assess progressive collapse of RC beam–slab structure under corner column loss scenario

Phương pháp đơn giản để đánh giá Phá hủy lũy tiến của kết cấu bê tông cốt thép trong trường hợp mất cột góc

End-To-End Data Driven Framework For Flexural Resistance of CFRP-Strengthened Reinforced Concrete Beam

Flexural reliability analysis of post-tensioned reinforced concrete band beams according to AS 3600:2018 using SAP2000-OAPI

Reliability Analysis of Structures Subjected to Seismic Excitation Using a Deep Learning-Based Surrogate Model

Towards a generalized surrogate model for truss structure analysis using graph learning

Case studies on determining fire resistance of uniaxial bending reinforced concrete columns subjected to 4-side standard fire exposure

Probabilistic evaluation of the axis distance’s influence on the flexural strength deterioration of reinforced concrete beams under ISO 834 fire

Applying Bayesian neural network to evaluate the influence of specialized mini projects on final performance of engineering students: A case study

Prediction of reinforced fly ash concrete columns’ behavior under eccentric loads using Gaussian process regression

Predicting dynamic responses of frame structures subjected to stochastic wind loads using temporal surrogate model

Semi-supervised vibration-based structural health monitoring via deep graph learning and contrastive learning

Structural reliability analysis using temporal deep learning-based model and importance sampling

Probabilistic incremental dynamic analysis of structures using temporal surrogate model

Efficient framework for structural reliability analysis based on adaptive ensemble learning paired with subset simulation

Digital twins: a survey on enabling technologies, challenges, trends and future prospects

Seismic reliability analysis of building structures using subset simulation coupled with deep learning-based surrogate model

Structural damage detection framework based on graph convolutional network directly using vibration data

Probabilistic method for time-varying reliability analysis of structure via variational Bayesian neural network

Cloud-based digital twinning for structural health monitoring using deep learning

Digital Twin Framework for Predictive Maintenance in Industry 4.0

A Digital Twin Framework for Industry 4.0 Enabling Next-Gen Manufacturing

Probabilistic pushover analysis of reinforced concrete frame structures using dropout neural network.

Modeling of buckling of thin-walled structures with open cross-section

A practical tool for 3d modeling of vibration of plate subjected to moving mass

Automated optimal design of truss structures using modified DE and SAP2000 open application programming interface (OAPI).

Structural damage detection using hybrid deep learning algorithm.

Direct numerical simulation of dynamic response of bridges subjected to vehicular loads.

Connection stiffness reduction analysis in steel bridge via deep CNN and modal experimental data.

Deep learning-based detection of structural damage using time-series data.

Data-driven structural health monitoring using feature fusion and hybrid deep learning.

Direct numerical simulation of the dynamics of sliding rough surfaces.

A Digital Twin Framework for Industry 4.0 Enabling Next-Gen Manufacturing

A practical tool for 3d modeling of vibration of plate subjected to moving mass

An Efficient k-NN-based Rao Optimization Method for Optimal Discrete Sizing of Truss Structures

An innovative blockchain-based traceability framework for industry 4.0 cyber-physical factory

Applying Bayesian neural network to evaluate the influence of specialized mini projects on final performance of engineering students: A case study

Assessment of Axial-Flexural Behavior of Reinforced Concrete Column Wrapped with CFRP Using Probabilistic Machine Learning Model

Automated optimal design of truss structures using modified DE and SAP2000 open application programming interface (OAPI).

Case studies on determining fire resistance of uniaxial bending reinforced concrete columns subjected to 4-side standard fire exposure

Cloud-based digital twinning for structural health monitoring using deep learning

Connection stiffness reduction analysis in steel bridge via deep CNN and modal experimental data.

Data-driven structural health monitoring using feature fusion and hybrid deep learning.

Deep learning-based detection of structural damage using time-series data.

Determination of Reinforced Fly Ash Concrete Columns’ Resistance Using Nonlinear Models of Materials

Development of Structural Damage Detection Method Working with Contaminated Vibration Data via Autoencoder and Gradient Boosting

Digital Twin Framework for Predictive Maintenance in Industry 4.0

Digital twins: a survey on enabling technologies, challenges, trends and future prospects

Direct numerical simulation of dynamic response of bridges subjected to vehicular loads.

Direct numerical simulation of the dynamics of sliding rough surfaces.

Efficient framework for structural reliability analysis based on adaptive ensemble learning paired with subset simulation

End-To-End Data Driven Framework For Flexural Resistance of CFRP-Strengthened Reinforced Concrete Beam

Experimental and Probabilistic Investigations of the Effect of Fly Ash Dosage on Concrete Compressive Strength and Stress-strain Relationship

Flexural reliability analysis of post-tensioned reinforced concrete band beams according to AS 3600:2018 using SAP2000-OAPI

Forecasting Measured Sensor Responses of Structures Using Temporal Deep Learning and Dual Attention

Khảo sát hiệu quả phân tích dầm chuyển ứng lực trước đồng thời với khung bê tông cốt thép

Modeling of buckling of thin-walled structures with open cross-section

Multi-task framework for vibration-based structural damage detection of spatial truss structure using graph learning

Multi-task framework for vibration-based structural damage detection of spatial truss structure using graph learning

Numerical simulation and simplified approach to assess progressive collapse of RC beam–slab structure under corner column loss scenario

Phương pháp đa nhiệm xác định hư hỏng trong kết cấu giàn sử dụng dữ liệu định hướng

Phương pháp đơn giản để đánh giá Phá hủy lũy tiến của kết cấu bê tông cốt thép trong trường hợp mất cột góc

Predicting dynamic responses of frame structures subjected to stochastic wind loads using temporal surrogate model

Prediction of reinforced fly ash concrete columns’ behavior under eccentric loads using Gaussian process regression

Probabilistic evaluation of the axis distance’s influence on the flexural strength deterioration of reinforced concrete beams under ISO 834 fire

Probabilistic incremental dynamic analysis of structures using temporal surrogate model

Probabilistic method for time-varying reliability analysis of structure via variational Bayesian neural network

Probabilistic pushover analysis of reinforced concrete frame structures using dropout neural network.

Reliability Analysis of Structures Subjected to Seismic Excitation Using a Deep Learning-Based Surrogate Model

Robust Vibration Output-only Structural Health Monitoring Framework Based on Multi-modal Feature Fusion and Self-learning

Seismic reliability analysis of building structures using subset simulation coupled with deep learning-based surrogate model

Semi-supervised vibration-based structural health monitoring via deep graph learning and contrastive learning

Structural damage detection framework based on graph convolutional network directly using vibration data

Structural damage detection using hybrid deep learning algorithm.

Structural reliability analysis using temporal deep learning-based model and importance sampling

Tính toán giới hạn chịu lửa của dầm bê tông cốt thép tiết diện chữ nhật theo tiêu chuẩn thiết kế SP 468.1325800.2019

Towards a generalized surrogate model for truss structure analysis using graph learning

Ứng dụng điểm ảnh xác định chuyển vị của kết cấu trong quá trình thí nghiệm

Ước lượng tính chất hiệu quả của vật liệu bê tông trong xây dựng từ các hình ảnh chụp cắt lớp trong phòng thí nghiệm,

Vibration-based building health monitoring using spatio-temporal learning model

Chuẩn đoán sức khỏe và độ tin cậy của công trình sử dụng công nghệ dữ liệu định hướng

Nghiên cứu sự mất ổn định của hệ kết cấu thanh thành mỏng tiết diện hở bằng mô hình phần tử hữu hạn 3D dạng tấm.

Mô hình số song sinh trong chuẩn đoán sức khỏe công trình

Chuẩn đoán sức khỏe và độ tin cậy của công trình sử dụng công nghệ dữ liệu định hướng

Nghiên cứu sự mất ổn định của hệ kết cấu thanh thành mỏng tiết diện hở bằng mô hình phần tử hữu hạn 3D dạng tấm.