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Nonlinear constitutive force model selection, update and uncertainty quantification for periodically sequential impact applications

Nonlinear dynamics, 2020-03, Vol.99 (4), p.2623-2646

2020

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Composite Material Elastic Effective Coefficients Optimization by Means of a Micromechanical Mechanical Model

Applied Mechanics, 2022-09, Vol.3 (3), p.779-798

2022

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Optimal Modeling of an Elevator Chassis under Crash Scenario Based on Characterization and Validation of the Hyperelastic Material of Its Shock Absorber System

Applied Mechanics, 2022-03, Vol.3 (1), p.227-243

2022

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Integrated Reverse Engineering Strategy for Large-Scale Mechanical Systems: Application to a Steam Turbine Rotor

Frontiers in built environment, 2018-10, Vol.4

2018

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Computational framework for model updating of large scale linear and nonlinear finite element models using state of the art evolution strategy

Computers & structures, 2017-11, Vol.192, p.210-232

2017

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Structural Health Monitoring using deep learning with optimal finite element model generated data

Mechanical systems and signal processing, 2020-11, Vol.145, p.106972, Article 106972

2020

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Optimal finite element modeling of filament wound CFRP tubes

Engineering structures, 2022-02, Vol.253, p.113808, Article 113808

2022

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A model-based fatigue damage estimation framework of large-scale structural systems

Structural health monitoring, 2021-05, Vol.20 (3), p.834-847

2021

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From Binary to Multi-Class: Neural Networks for Structural Damage Classification in Bridge Monitoring Under Static and Dynamic Loading

Dynamics, 2024-10, Vol.4 (4), p.786-803

2024

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Vibration-based Damage Localization and Quantification Framework of Large-Scale Truss Structures

Structural health monitoring, 2023-03, Vol.22 (2), p.1376-1398

2023

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Structural health monitoring and fatigue damage estimation using vibration measurements and finite element model updating

Structural health monitoring, 2019-07, Vol.18 (4), p.1189-1206

2019

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Computational Framework for Online Estimation of Fatigue Damage using Vibration Measurements from a Limited Number of Sensors

Procedia engineering, 2017, Vol.199, p.1906-1911

2017

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Characterization and Validation of Shock Absorbing Hyperelastic Material Using Analytical and Experimental Methods

Proceedings of the 14th International Conference on Vibration Problems, 2020, p.115-125

2020

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Finite Element Model Updating Techniques of Complex Assemblies with Linear and Nonlinear Components

Model Validation and Uncertainty Quantification, Volume 3, 2016, p.293-306

2016

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Damage Identification of Structures Through Machine Learning Techniques with Updated Finite Element Models and Experimental Validations

Model Validation and Uncertainty Quantification, Volume 3, 2020, p.143-154

2020

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Nonlinear constitutive force model selection, update and uncertainty quantification for periodically sequential impact applications

Composite Material Elastic Effective Coefficients Optimization by Means of a Micromechanical Mechanical Model

Optimal Modeling of an Elevator Chassis under Crash Scenario Based on Characterization and Validation of the Hyperelastic Material of Its Shock Absorber System

Integrated Reverse Engineering Strategy for Large-Scale Mechanical Systems: Application to a Steam Turbine Rotor

Computational framework for model updating of large scale linear and nonlinear finite element models using state of the art evolution strategy

Structural Health Monitoring using deep learning with optimal finite element model generated data

Optimal finite element modeling of filament wound CFRP tubes

A model-based fatigue damage estimation framework of large-scale structural systems

From Binary to Multi-Class: Neural Networks for Structural Damage Classification in Bridge Monitoring Under Static and Dynamic Loading

Vibration-based Damage Localization and Quantification Framework of Large-Scale Truss Structures

Structural health monitoring and fatigue damage estimation using vibration measurements and finite element model updating

Computational Framework for Online Estimation of Fatigue Damage using Vibration Measurements from a Limited Number of Sensors

Characterization and Validation of Shock Absorbing Hyperelastic Material Using Analytical and Experimental Methods

Finite Element Model Updating Techniques of Complex Assemblies with Linear and Nonlinear Components

Damage Identification of Structures Through Machine Learning Techniques with Updated Finite Element Models and Experimental Validations

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