Pedro Manuel Calas Lopes Pacheco

Prof. Pedro Manuel Calas Lopes Pacheco

Department of Mechanical Engineering, CEFET/RJ–Centro Federal de Educação Tecnológica Celso Suckow da Fonseca, 20271-110 Rio de Janeiro, RJ, Brazil
orcid

Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2005 in International Journal of Solids and Structures
Verified
Journal Article
Closed access
APAlberto Paiva
Alberto Paiva
Marcelo SaviMarcelo Savi
Marcelo Savi
ABArthur Martins Barbosa Braga
Arthur Martins Barbosa Braga
Pedro Manuel Calas Lopes PachecoPedro Manuel Calas Lopes Pacheco
Pedro Manuel Calas Lopes Pacheco

1 October 2019 in Composites Part B: Engineering
Verified
Journal Article
Closed access
LVLucas L. Vignoli
Lucas L. Vignoli
Marcelo SaviMarcelo Savi
Marcelo Savi
Pedro Manuel Calas Lopes PachecoPedro Manuel Calas Lopes Pacheco
Pedro Manuel Calas Lopes Pacheco
AKAlexander L. Kalamkarov
Alexander L. Kalamkarov

14 January 2010 in Smart Materials and Structures
Verified
Journal Article
Closed access
RARicardo A A Aguiar
Ricardo A A Aguiar
Marcelo SaviMarcelo Savi
Marcelo Savi
Pedro Manuel Calas Lopes PachecoPedro Manuel Calas Lopes Pacheco
Pedro Manuel Calas Lopes Pacheco

1 May 2002 in Journal of Intelligent Material Systems and Structures
Verified
Journal Article
Closed access
Marcelo SaviMarcelo Savi
Marcelo Savi
APAlberto Paiva
Alberto Paiva
ABAlessandro P. Baeta-Neves
Alessandro P. Baeta-Neves
Pedro Manuel Calas Lopes PachecoPedro Manuel Calas Lopes Pacheco
Pedro Manuel Calas Lopes Pacheco
The thermomechanical behavior of shape memory alloys (SMAs) may be modeled either by microscopic or macroscopic point of view. Shape memory, pseudoelasticity and thermal expansion are phenomena related to the SMA behavior. Constitutive models consider phenomenological aspects of these phenomena. The present contribution considers a one-dimensional constitutive model with internal constraint to describe SMA behavior including the effect of plastic strains. The proposed theory contemplates four phases: three variants of martensite and an austenitic phase. Different material parameters for austenitic and martensitic phases are considered. Thermal expansion phenomenon and plastic effects are also contemplated. Hardening effect is represented by a combination of kinematic and isotropic behaviors. A plastic-phase transformation coupling is incorporated into the model. A numerical procedure is developed and numerical results show that the proposed model is capable to capture the general thermomechanical behavior of shape memory alloys.

1 December 2002 in International Journal of Non-Linear Mechanics
Verified
Journal Article
Closed access
Marcelo SaviMarcelo Savi
Marcelo Savi
Pedro Manuel Calas Lopes PachecoPedro Manuel Calas Lopes Pacheco
Pedro Manuel Calas Lopes Pacheco
ABArthur M.B. Braga
Arthur M.B. Braga

17 October 2012 in Journal of Intelligent Material Systems and Structures
Verified
Journal Article
Closed access
RARicardo Aa Aguiar
Ricardo Aa Aguiar
Marcelo SaviMarcelo Savi
Marcelo Savi
Pedro Manuel Calas Lopes PachecoPedro Manuel Calas Lopes Pacheco
Pedro Manuel Calas Lopes Pacheco
Smart materials have a growing technological importance due to their unique thermomechanical characteristics. Shape memory alloys belong to this class of materials being easy to manufacture, relatively lightweight, and able to produce high forces or displacements with low power consumption. These aspects could be exploited in different applications including vibration control. Nevertheless, literature presents only a few references concerning the experimental analysis of shape memory alloy dynamical systems. This contribution deals with the experimental analysis of shape memory alloy dynamical systems by considering an experimental apparatus consisted of low-friction cars free to move in a rail. A shaker that provides harmonic forcing excites the system. The vibration analysis reveals that shape memory alloy elements introduce complex behaviors to the system and that different thermomechanical loadings are of concern showing the main aspects of the shape memory alloy dynamical response. Special attention is dedicated to the analysis of vibration reduction that can be achieved by considering different approaches exploiting either temperature variations promoted by electric current changes or vibration absorber techniques. The results establish that adaptability due to temperature variations is defined by a competition between stiffness and hysteretic behavior changes.