Materials Map

Discover the materials research landscape. Find experts, partners, networks.

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

×

Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Cartmell, Matthew

  • Google
  • 12
  • 19
  • 186

University of Strathclyde

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (12/12 displayed)

  • 2022Application of a dynamic thermoelastic coupled model for an aerospace aluminium composite panel12citations
  • 2021Experimental investigation of the thermoelastic performance of an aerospace aluminium honeycomb composite panel27citations
  • 2012Applications for shape memory alloys in structural and machine dynamics4citations
  • 2010An analytical model for the vibration of a composite plate containing an embedded periodic shape memory alloy structure17citations
  • 2008Smart materials applications to structural dynamics and rotating machinescitations
  • 2007The control of bearing stiffness using shape memorycitations
  • 2006Proposals for controlling flexible rotor vibrations by means of an antagonistic SMA/composite smart bearing7citations
  • 2003Static and dynamic behaviour of composite structures with shape memory alloy components3citations
  • 2003Dynamics of multilayered composite plates with shape memory alloy wires33citations
  • 2003One-dimensional shape memory alloy models for use with reinforced composite structures59citations
  • 2003A sensitivity analysis of the dynamic performance of a composite plate with shape memory alloy wires24citations
  • 2001Statics and dynamics of composite structures with embedded shape memory alloyscitations

Places of action

Chart of shared publication
Ganilova, Olga A.
2 / 2 shared
Kiley, Andrew
2 / 2 shared
Ganilova, O. A.
2 / 3 shared
Zak, A. J.
4 / 4 shared
Ganilova, Olga
1 / 1 shared
Lees, Arthur
1 / 1 shared
Atepor, Lawrence
1 / 2 shared
Inman, Daniel
1 / 3 shared
Lees, A. W.
2 / 2 shared
Jana, S.
1 / 12 shared
Inman, D. J.
2 / 3 shared
Atepor, L.
1 / 1 shared
Leize, Th.
1 / 1 shared
Ostachowicz, W. M.
3 / 4 shared
Ostachowicz, W.
1 / 3 shared
Wiercigroch, M.
1 / 1 shared
Zak, Arkadiusz J.
1 / 1 shared
Zak, Arkadiusz
1 / 1 shared
Ostachowicz, Wieslaw
1 / 5 shared
Chart of publication period
2022
2021
2012
2010
2008
2007
2006
2003
2001

Co-Authors (by relevance)

  • Ganilova, Olga A.
  • Kiley, Andrew
  • Ganilova, O. A.
  • Zak, A. J.
  • Ganilova, Olga
  • Lees, Arthur
  • Atepor, Lawrence
  • Inman, Daniel
  • Lees, A. W.
  • Jana, S.
  • Inman, D. J.
  • Atepor, L.
  • Leize, Th.
  • Ostachowicz, W. M.
  • Ostachowicz, W.
  • Wiercigroch, M.
  • Zak, Arkadiusz J.
  • Zak, Arkadiusz
  • Ostachowicz, Wieslaw
OrganizationsLocationPeople

document

Statics and dynamics of composite structures with embedded shape memory alloys

  • Zak, Arkadiusz
  • Cartmell, Matthew
  • Ostachowicz, Wieslaw
Abstract

A new class of modern smart materials such as piezoelectric polymers and ceramics, electrorheological fluids, optical fibers and shape memory alloys have a great number of possible applications in many industrial and engineering fields. This number grows constantly encouraging scientists and engineers to study and analyze the behavior of the materials, range and ways of their best use. Shape memory alloy reinforced composites are an extremely versatile class of materials. Shape memory alloys are characterized by: large internal forces, unique ability of changing its material properties, wide range of operational temperature, excellent damping properties and high durability. Mechanical and physical properties of SMA strongly depend on temperature and initial stresses. Changes in temperature and initial stresses involve changes in the volume fraction of martensite in the alloys. During the martensite transformation recovery stresses appear. These recovery stresses are not only a function of alloys temperature but also depend on initial strains. Using shape memory alloys as fibre reinforcement gives structures numerous adaptive capabilities. One of them is the controlling of motion and the vibration of structures. In order to model accurately the behavior of composite structures with embedded shape memory alloy components three literature models have been carefully examined. These models have been studied according to their abilities to predict properly superelastic and shape memory effects associated with the thermomechanical behavior of shape memory alloys and special attention has been paid to the set of state variables chosen for each model (Tanaka, Liang and Rogers, Brinson). The lecture illustrates stress-strain relationships for composite structures with embedded SMA fibres and their influence upon certain changes in natural frequencies and thermal buckling of selected composite structures. Governing equations based on the finite element method are formulated for beams, plates, and shells. Active frequency controlling can be used, for example, to avoid resonances in composite structures such as shafts, blades, aircraft wings, etc. The finite element analysis results are compared to those obtained from an analytical continuum solution. The results of calculations demonstrate the potential effectiveness of SMA fiber- reinforcement in composite structural elements in the process of controlling the vibration. The effect of SMA fibers activation on the amplitude of vibration normalized with respect to the amplitude of the uncontrolled vibration can also be analyzed. It can be clearly observed that the activation process of SMA wires involves an increase in the natural bending frequencies. This effect rises when both the temperature and initial strains are higher.

Topics
  • impedance spectroscopy
  • polymer
  • composite
  • activation
  • ceramic
  • durability
  • finite element analysis
  • wire