Thông tin nhà nghiên cứu KH&CN

Chẩn đoán hư hỏng kết cấu dàn chịu nhiệt độ và tải trọng động dùng tối ưu hóa ngược và học sâu

A Comparative Study on the Hydroelastic Behavior of Floating Plates Imposed by Various Types of Boundary Conditions

A deep neural network-assisted metamodel for damage detection of trusses using incomplete time-series acceleration

A Machine Learning-Assisted Numerical Predictor for Compressive Strength of Geopolymer Concrete Based on Experimental Data and Sensitivity Analysis

A multi-resolution approach for multi-material topology optimization based on isogeometric analysis

A New Study on Optimization of Four-Bar Mechanisms Based on a Hybrid-Combined Differential Evolution and Jaya Algorithm

A novel coupled finite element method for hydroelastic analysis of FG-CNTRC floating plates under moving loads

A novel data-driven analysis for sequentially formulated plastic hinges of steel frames

A novel deep unsupervised learning-based framework for optimization of truss structures

A novel hybrid differential evolution and symbiotic organisms search algorithm for size and shape optimization of truss structures under multiple frequency constraints

A novel model order reduction-based two-stage damage detection paradigm for trusses using time–history acceleration

A novel robust stress-based multimaterial topology optimization model for structural stability framework using refined adaptive continuation method

A novel topology framework for simultaneous topology, size and shape optimization of trusses under static, free vibration and transient behavior

A refined nonlocal isogeometric model for multilayer functionally graded graphene platelet-reinforced composite nanoplates

A reliability-based optimization approach for material and thickness composition of multidirectional functionally graded plates

A robust dynamic unified multi‑material topology optimization method for functionally graded structures

A robust unsupervised neural network framework for geometrically nonlinear analysis of inelastic truss structures

A single step optimization method for topology, size and shape of trusses using hybrid differential evolution and symbiotic organisms search

A smoothed coupled NS/nES-FEM for dynamic analysis of 2D fluid–solid interaction problems

An adaptive hybrid evolutionary firefly algorithm for shape and size optimization of truss structures with frequency constraints

An adaptive surrogate model to structural reliability analysis using deep neural network

An evolutionary symbiotic organisms search for multiconstraint truss optimization under free vibration and transient behavior

An integrated moving element method (IMEM) for hydroelastic analysis of infinite floating Kirchhoff-Love plates under moving loads in shallow water environment

An isogeometric multimesh design approach for size and shape optimization of multidirectional functionally graded plates

Applications of Firefly Algorithm and its Variants: Case Studies and New Developments Chapter 4 - Structural Damage Identification Using Adaptive Hybrid Evolutionary Firefly Algorithm

Bending and free vibration analyses of in-plane bidirectional functionally graded plates with variable thickness using isogeometric analysis

Bending and free vibration analyses of multi-directional functionally graded plates in thermal environment: A three-dimensional Isogeometric Analysis approach

CNN-based image recognition for topology optimization

Damage identification of trusses using limited modal features and ensemble learning

Damage quantification in truss structures by limited sensor-based surrogate model

Deep Neural Networks for Form-Finding of Tensegrity Structures

Geometrically nonlinear analysis of functionally graded plates using a cell-based smoothed three-node plate element (CS-MIN3) based on the C0-HSDT

Hydroelastic responses of floating composite plates under moving loads using BEM-MEM method

Investigate the bending and free vibration responses of multi-directional functionally graded plates with variable thickness based on isogeometric analysis

Isogeometric analysis based on Bézier extraction of NURBS for topology optimization

Modeling and optimization of functionally graded plates under thermomechanical load using isogeometric analysis and adaptive hybrid evolutionary firefly algorithm, Composite Structures

Modifed nonlocal couple stress isogeometric approach for bending and free vibration analysis of functionally graded nanoplates

Moving element method for dynamic analyses of functionally graded plates resting on pasternak foundation subjected to moving harmonic load, International Journal of Structural Stability and Dynamics

Multiple bi-directional FGMs topology optimization approach with a preconditioned conjugate gradient multigrid

Multiresolution topology optimization using isogeometr ic analysis

NURBS-based modeling and analysis for free vibration and buckling problems of in-plane bi-directional functionally graded plates

NURBS-based modeling of bidirectional functionally graded Timoshenko beams for free vibration problem

NURBS-based optimization of natural frequencies for bidirectional functionally graded beams

Performance of quadruplex module tensegrities using new pin-jointed connections

Post-buckling Analysis of Circular Functionally Graded Microplates Based on Isogeometric Analysis

Shape and size optimization of functionally graded sandwich plates using isogeometric analysis and adaptive hybrid evolutionary firefly algorithm

Size-dependent isogeometric analysis of functionally graded carbon nanotube-reinforced composite nanoplates

Structural Damage Detection Using Model Order Reduction And Two-Stage Method

Topology and size optimization for X-bracing system of nonlinear inelastic space steel frames

Topology optimization using super-resolution image reconstruction methods

Mô hình và tối ưu hóa khung thép 3D phi tuyến có liên kết nửa cứng chịu lửa và tải trọng động

Phân tích ứng xử của tấm nổi vật liệu chức năng có gia cường ống carbon nano sử dụng phương pháp kết hợp giữa phần tử biên và phần tử hữu hạn

Phát triển các mô hình tính toán dựa trên trí tuệ nhân tạo cho các bài toán phân tích, tối ưu và chẩn đoán sức khỏe kết cấu