Limiting the first principal stress in topology optimization: a local and consistent approach.

Abstract

The present study introduces a formulation for topology optimization of structures with constraints on the first principal stress. We solve the problem considering local stress constraints via the augmented Lagrangian method, which enables the solution of large-scale problems without the need for ad hoc aggregation schemes and clustering methods. Numerical examples are provided which demonstrate the effectiveness of the framework for practical problems with numerous (e.g., in the range of million(s)) local constraints imposed on the maximum principal stress. One of the examples is a three-dimensional antenna support bracket, which represents a realistic engineering design problem. This example, which has more than one million constraints, is proposed as a benchmark problem for stress-constrained topology optimization.

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