Ricardo Perera

发表

Multi-objective Damage Identification Using Particle Swarm Optimization Techniques

Ricardo Perera, Sheng-En Fang, 2010, Multi-Objective Swarm Intelligent System.

Performance assessment of multicriteria damage identification genetic algorithms

Antonio Ruiz, Ricardo Perera, Carlos Manzano, 2009 .

Single side damage simulations and detection in beam-like structures

Ricardo Perera, Yun-Lai Zhou, M. Abdel Wahab, 2015 .

Artificial intelligence techniques for prediction of the capacity of RC beams strengthened in shear with external FRP reinforcement

Ricardo Perera, Ana de Diego, Angel Arteaga, 2010 .

Damage detection in structures using a transmissibility‐based Mahalanobis distance

Ricardo Perera, Yun-Lai Zhou, Nuno M. M. Maia, 2015 .

Statistical Multi-Objective Structural Damage Identification based on Dynamic Parameters

Antonio Ruiz, Ricardo Perera, E. Sevillano, 2012 .

A fatigue damage model for seismic response of RC structures

Ricardo Perera, A. Carnicero, Enrique Alarcón, 2000 .

DESIGN OF FRP LAMINATES USING EVOLUTIONARY ALGORITHMS

F. B. Varona, Ricardo Perera, Francisco B. Varona, 2007 .

Damage evaluation of structures with uncertain parameters via interval analysis and FE model updating methods

Rui Sun, Ricardo Perera, Enrique Sevillano, 2017 .

Parameter Identification of Composite Materials Based on Spectral Model by Using Model Updating Method

Rui Sun, Ricardo Perera, Enrique Sevillano, 2018 .

An EMI-Based Clustering for Structural Health Monitoring of NSM FRP Strengthening Systems

Ricardo Perera, Cristina Barris, Lluis Torres, 2019, Sensors.

An evolutionary multiobjective framework for structural damage localization and quantification

Antonio Ruiz, Ricardo Perera, Carlos Manzano, 2007 .

Strut-and-tie modelling of reinforced concrete beams using genetic algorithms optimization

Ricardo Perera, Javier Vique, R. Perera, 2009 .

Deterministically generated negative selection algorithm for damage detection in civil engineering systems

Paulo B. Lourenço, Ricardo Perera, Alberto Barontini, 2019, Engineering Structures.

Civil structure condition assessment by a two-stage FE model update based on neural network enhanced power mode shapes and an adaptive roaming damage method

Ricardo Perera, Sean Sandercock, A. Carnicero, 2020 .

Damage identification of a reinforced concrete frame by finite element model updating using damage parameterization

Guido De Roeck, Ricardo Perera, Sheng-En Fang, 2008 .

Flexural and Shear Design of FRP Plated RC Structures Using a Genetic Algorithm

F. B. Varona, Ricardo Perera, Francisco B. Varona, 2009 .

Particle Swarm vs. Evolutionary Optimization Techniques in a Multiobjective Framework for Damage Identification

Antonio Ruiz, Ricardo Perera, Sheng En Fang, 2009 .

Experimental and Analytical Study of Masonry Infill Reinforced Concrete Frames Retrofitted with Steel Braces

Enrique Alarcón, Ricardo Perera, Susana Gómez, 2004 .

A response surface methodology based damage identification technique

Ricardo Perera, S E Fang, S E Fang, 2009 .

Shear strengthening of reinforced concrete members with CFRP sheets

Ricardo Perera, A. Alzate, Angel Arteaga, 2013 .

Static–dynamic multi-scale structural damage identification in a multi-objective framework

Antonio Ruiz, Ricardo Perera, Roberto Marin, 2013 .

A Metamodel Based Damage Identification Method

Ricardo Perera, Sheng En Fang, 2010 .

Active Wireless System for Structural Health Monitoring Applications

Ricardo Perera, J. L. Zapico-Valle, Alberto Pérez, 2017, Sensors.

Structural Damage Detection via Modal Data with Genetic Algorithms

Ricardo Perera, Ronald Torres, R. Perera, 2006 .

Damage Detection Based on Power Dissipation Measured with PZT Sensors through the Combination of Electro-Mechanical Impedances and Guided Waves

Rui Sun, Ricardo Perera, Enrique Sevillano, 2016, Sensors.

Performance evaluation of masonry-infilled RC frames under cyclic loading based on damage mechanics

Ricardo Perera, R. Perera, 2005 .

Application of particle swarm optimization and genetic algorithms to multiobjective damage identification inverse problems with modelling errors

Antonio Ruiz, Ricardo Perera, Sheng-En Fang, 2010 .

A stochastic model updating method for parameter variability quantification based on response surface models and Monte Carlo simulation

Ricardo Perera, Sheng-En Fang, Wei-Xin Ren, 2012 .

Damage identification by response surface based model updating using D-optimal design

Ricardo Perera, Sheng-En Fang, R. Perera, 2011 .

Damage Identification Using Response Surface Methodology

Ricardo Perera, Sheng En Fang, 2009 .

Power mode shapes for early damage detection in linear structures

Ricardo Perera, Sheng-En Fang, 2009 .

Gear dynamics monitoring using discrete wavelet transformation and multi-layer perceptron neural networks

Ricardo Perera, Javier Sanz, Consuelo Huerta, 2012, Appl. Soft Comput..

A numerical model to study the seismic retrofit of RC columns with advanced composite jacketing

Ricardo Perera, 2006 .

SIMPLIFIED MODEL OF LOW CYCLE FATIGUE FOR RC FRAMES. DISCUSSION AND CLOSURE

Enrique Alarcón, Ricardo Perera, A. Carnicero, 1999 .

A repairability index for reinforced concrete members based on fracture mechanics

Enrique Alarcón, Ricardo Perera, Julio Flórez-López, 2001 .

Analysis of the Impact of Sustained Load and Temperature on the Performance of the Electromechanical Impedance Technique through Multilevel Machine Learning and FBG Sensors

Ricardo Perera, Cristina Barris, Lluis Torres, 2021, Sensors.

Performance of Linear Mixed Models to Assess the Effect of Sustained Loading and Variable Temperature on Concrete Beams Strengthened with NSM-FRP

Ricardo Perera, Cristina Barris, Lluis Torres, 2021, Sensors.

Diagnosis of NSM FRP reinforcement in concrete by using mixed-effects models and EMI approaches

Ricardo Perera, Cristina Barris, Lluis Torres, 2021 .

Shear capacity of reinforced concrete members strengthened in shear with FRP by using strut-and-tie models and genetic algorithms

Ricardo Perera, Ana de Diego, Javier Vique, 2009 .

Debonding detection of FRP strengthened concrete beams by using impedance measurements and an ensemble PSO adaptive spectral model

Ricardo Perera, Enrique Sevillano, R. Perera, 2015 .

A multistage FE updating procedure for damage identification in large-scale structures based on multiobjective evolutionary optimization

Ricardo Perera, R. Perera, Antonio Ruiz, 2008 .

Design equations for reinforced concrete members strengthened in shear with external FRP reinforcement formulated in an evolutionary multi-objective framework

Ricardo Perera, Antonio Ruiz, 2012 .

Identification of damage in RC beams using indexes based on local modal stiffness

Ricardo Perera, Consuelo Huerta, R. Perera, 2008 .

INFLUENCE OF OBJECTIVE FUNCTIONS IN STRUCTURAL DAMAGE IDENTIFICATION USING REFINED AND SIMPLE MODELS

Ricardo Perera, Sheng-En Fang, R. Perera, 2009 .

Application of artificial intelligence techniques to predict the performance of RC beams shear strengthened with NSM FRP rods. Formulation of design equations

Ricardo Perera, R. Perera, Antonio Ruiz, 2014 .

A discrete spectral model for intermediate crack debonding in FRP-strengthened RC beams

Ricardo Perera, Enrique Sevillano, R. Perera, 2015 .

A unified approach for the static and dynamic analyses of intermediate debonding in FRP-strengthened reinforced concrete beams

Ricardo Perera, R. Perera, Daniel Bueso-Inchausti, 2010 .

Damage Localization Based on Power Spectral Density Analysis

Ricardo Perera, Sheng En Fang, Maria Consuelo Huerta, 2007 .

Adherence analysis of fiber-reinforced polymer strengthened RC beams

Ricardo Perera, A. de Diego, A. Recuero, 2004 .

Interfacial crack-induced debonding identification in FRP-strengthened RC beams from PZT signatures using hierarchical clustering analysis

Ricardo Perera, Enrique Sevillano, Alberto Gil, 2016 .