Isogeometric topology optimization of shape memory alloy based structures

Tejdeep Ganekanti, Atanu Banerjee · IOP Publishing · 2026

This research presents an isogeometric analysis-based topology optimization tool for shape memory alloy structures, significantly reducing computational time.

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Plain English summary

This study introduces a new tool for optimizing the design of structures made from shape memory alloys (SMAs) using isogeometric analysis. The tool aims to improve the efficiency of topology optimization, which is a method for distributing materials effectively within a design space to achieve desired structural outcomes. The new tool reportedly reduces the computational time required for analysis by 65% compared to traditional finite element methods, while still maintaining accuracy. This advancement could enhance the design process for SMA structures under various thermomechanical loads.

Why this matters

The ability to efficiently optimize structures made from shape memory alloys can lead to more innovative and effective designs in various applications, potentially improving performance and reducing costs in manufacturing. This research addresses the challenge of computational efficiency in structural design, which is crucial for industries relying on advanced materials.

Key findings

  • Introduced an isogeometric analysis-based topology optimization tool for SMAs.
  • Achieved a 65% reduction in computational time compared to traditional methods.
  • Maintained accuracy while optimizing material distribution.
  • Facilitated effective design under thermomechanical loading.
  • Provided a comparison with finite element method-based tools.

What's new

The use of isogeometric analysis in topology optimization for shape memory alloys, which enhances computational efficiency.

Limitations

The abstract does not specify the range of thermomechanical loading conditions tested or the specific applications of the optimized structures.

Commercial context

The research presents a new tool concept without evidence of commercial application or readiness.

Publication

Publisher
IOP Publishing
Publication date
March 1, 2026
Research type
Paper
License
https://publishingsupport.iopscience.iop.org/iop-standard/v1

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Method note: Summaries and ratings on this page are generated by AI from the abstract only. Read the original paper for full context. · Model: gpt-4o-mini-2024-07-18