Adaptive shape optimization with NURBS designs and PHT-splines for solution approximation in time-harmonic acoustics

TL;DR

This paper demonstrates the use of GIFT with NURBS and PHT-splines for efficient 2D acoustic shape optimization, achieving accurate solutions with reduced computational cost through adaptive mesh refinement.

Contribution

It extends GIFT to shape optimization by integrating NURBS boundary modeling with adaptive PHT-spline solution approximation, demonstrating significant efficiency gains.

Findings

Accurate solutions achieved with fewer degrees of freedom.

Significant reduction in computational time.

Validated on three benchmark examples.

Abstract

Geometry Independent Field approximaTion (GIFT) was proposed as a generalization of Isogeometric analysis (IGA), where different types of splines are used for the parameterization of the computational domain and approximation of the unknown solution. GIFT with Non-Uniform Rational B-Splines (NUBRS) for the geometry and PHT-splines for the solution approximation were successfully applied to problems of time-harmonic acoustics, where it was shown that in some cases, adaptive PHT-spline mesh yields highly accurate solutions at lower computational cost than methods with uniform refinement. Therefore, it is of interest to investigate performance of GIFT for shape optimization problems, where NURBS are used to model the boundary with their control points being the design variables and PHT-splines are used to approximate the solution adaptively to the boundary changes during the optimization process. In this work we demonstrate the application of GIFT for 2D acoustic shape optimization problems and, using three benchmark examples, we show that the method yields accurate solutions with significant computational savings in terms of the number of degrees of freedom and computational time.