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By: Dhanashri Shinde and Yamini N. Deshvena
1Student, Department of Civil Engineering, Shri Shivaji Institute of Engineering & Management Studies, Parbhani, Maharashtra, India
2Assistant Professor, Department of Civil Engineering, Shri Shivaji Institute of Engineering & Management Studies,Parbhani, Maharashtra, India
(FEA) in investigating the nonlinear behavior of advanced materials plays a pivotal role in optimizing the design and performance of modern structural systems. As innovative materials, such as nanocomposites, metamaterials, and shape-memory alloys gain prominence, conventional linear modeling methods become inadequate for accurately capturing the intricate and time-dependent responses exhibited by these materials under diverse loading conditions. This research delves into cutting-edge FEA techniques to simulate and analyze the nonlinear mechanical properties of advanced materials, with particular emphasis on complex phenomena, such as plasticity, large-scale deformations, and hysteretic behavior. By integrating material-specific constitutive models into the FEA framework, the study enhances the understanding of material reactions to various stress states, temperature fluctuations, and dynamic loads. Furthermore, this research investigates the impact of microstructural characteristics, anisotropic properties, and energy dissipation mechanisms on the overall material performance. It also addresses the challenges associated with computational efficiency and accuracy when dealing with highly nonlinear systems. The findings are expected to contribute significantly to improving predictive models for structural performance, enabling the optimization of material selection processes, and facilitating the design of resilient and sustainable infrastructure. Ultimately, this study underscores the transformative potential of advanced FEA in advancing engineering solutions for next-generation materials and structural applications.
Keywords: Finite element analysis (FEA), nonlinear behavior, time-dependent behavior,
nanocomposites, shape-memory alloys, structural optimization, dynamic loading, material modeling
Citation:
Refrences:
1. Lagoudas DC, Bo Z, Qidwai MA. A unified thermodynamic constitutive model for SMA and finite
element analysis of active metal matrix composites. Mechani Compos Materl Struc. 1996;3(2):153–
179.
2. Boyd JG, Lagoudas DC. A thermodynamical constitutive model for shape memory materials. Part
I. The monolithic shape memory alloy. International Journal of Plasticity. 1996;12(6):805–842.
3. Seidel GD, Lagoudas DC. Micromechanical analysis of the effective elastic properties of carbon
nanotube reinforced composites. Mechani Materl. 2006;38(8-10):884–907.
4. Hartl DJ, Lagoudas DC. Aerospace applications of shape memory alloys. Proceedings of the
Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering. 2007;221(4):535–
552.
5. Peraza-Hernandez EA, Hartl DJ, Malak RJ Jr, Lagoudas DC. Origami-inspired active structures: a
synthesis and review. Smart Materl Struc. 2014;23(9):094001.
6. Wang LX, Melnik RVN. Finite volume analysis of nonlinear thermo-mechanical dynamics of shape
memory alloys. Compu Struc. 2007;85(11–14):739–48.
7. Vasudevan A, Rodríguez-Martínez JA, Romero I. Analysis and design of bistable and thermally
reversible metamaterials inspired by shape-memory alloys. J Mechan Physc of Solids.
2022;162:104785.
8. Lagoudas DC, Bougueba M. A thermodynamic framework for finite deformation of shape memory
alloys. Acta Mechanica. 2004;176(1-4):183–200.
9. Lagoudas DC, Perazzo MA, Akella VS. A finite element model for shape memory alloy actuators.
Intl J Solids Struc. 2001;38(5):915–36.
10. Lagoudas DC, Stouffer DC, Boyd JG. Constitutive modeling of the superelastic behavior of shape
memory alloys. Mecha Materl. 1998;29(1–2):63–77.
11. Lagoudas DC, Peraza-Hernandez EA. Structural health monitoring of smart composite materials:
A review. Composit Struc. 2016;140:407–26.
12. Boyd JG, Lagoudas DC. Thermomechanical behavior of polycrystalline shape memory alloys under
multiaxial loading conditions. Acta Materialia. 1996;44(9):3681–96.
13. Peraza-Hernandez EA, Hartl DJ, Lagoudas DC. Design of SMA-based actuators using evolutionary
algorithms. Smart Materl Struc. 2012;21(7):074012.
14. Boyd JG, Lagoudas DC. Thermodynamic analysis of constrained shape memory alloy structures. J
Eng Materl Tech. 1996;118(3):284–9.
15. Hartl DJ, Lagoudas DC, Peraza-Hernandez EA. Composite structures with embedded shape
memory alloy actuators. Composit Struc. 2009;91(3):422–8.
16. Melnik RVN, Wang LX, Lagoudas DC. Thermo-mechanical modeling of shape memory alloy
composites: A finite element approach. Computl Mechan. 2008;43(6):829–37.
17. Vasudevan A, Romero I, Lagoudas DC. Shape memory alloy-based bistable composites: Design
and characterization. Mech Advc Materl Struc. 2021;28(12):1173–82.
