Design of laminated piezocomposite shell transducers with arbitrary fiber orientation using topology optimization approach

DOI10.1002/nme.3371zbMath1246.74044OpenAlexW1908777448MaRDI QIDQ2911840

Emílio Carlos Nelli Silva, César Y. Kiyono, J. N. Reddy

Publication date: 3 September 2012

Published in: International Journal for Numerical Methods in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/nme.3371

zbMATH Keywords

topology optimizationfiber orientationenergy harvester designpiezocomposite shellpiezoelectric transducer design

Mathematics Subject Classification ID

Composite and mixture properties (74E30) Shells (74K25) Electromagnetic effects in solid mechanics (74F15) Topological methods for optimization problems in solid mechanics (74P15)

Related Items (4)

Smart composites with tunable stress-strain curves ⋮ Optimization methods applied to material and flextensional actuator design using the homogenization method ⋮ Topology optimization of hyperelastic structures with anisotropic fiber reinforcement under large deformations ⋮ Optimized dynamic design of laminated piezocomposite multi-entry actuators considering fiber orientation

Cites Work

• A simple and effective inverse projection scheme for void distribution control in topology optimization
• Optimization formulations for the maximum nonlinear buckling load of composite structures
• Multi-physics interpolation for the topology optimization of piezoelectric systems
• Multiphase composites with extremal bulk modulus
• Continuous approximation of material distribution for topology optimization
• Discrete material optimization of general composite shell structures
• The method of moving asymptotes—a new method for structural optimization
• An Introduction to Nonlinear Finite Element Analysis
• Numerical and analytical method for the design of piezoelectric modal sensors/actuators for shell‐type structures
• Achieving minimum length scale in topology optimization using nodal design variables and projection functions

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