Publications

Publications

Shape Optimization for Crashworthiness using LS-OPT and Distributed Computing

This study applies parametric modeling and shape optimization to improve the crash performance of vehicle instrument panels. By integrating LS-OPT with TrueGrid and LS-DYNA, the team varied geometric parameters of key components to minimize occupant knee forces. Distributed computing enabled efficient exploration of a complex design space, yielding significant performance gains.

Parametric Finite Element Modeling Across Many Simulation Codes

Robert Rainsberger

This work showcases how parametric modeling can streamline shape definition and mesh control across multiple finite element simulation codes. Through TrueGrid®, users can automate the generation of consistent, high-quality models that support shape optimization and design exploration. The approach is ideal for validating simulation results across platforms while enabling precise geometric and material variation.

Numerische Simulation formvariabler Strukturkonzepte axialer Eintrittsleitrader von Turboverdichtern

May 2, 2025//Tobias Muller, Martin Lawerenz

The study explores a novel shape-adaptive inlet guide vane concept using segmented kinematic chains and deformable skin layers, modeled parametrically and evaluated through LS-DYNA simulations. By applying shape optimization principles, the structure adapts to changing flow conditions, significantly reducing aerodynamic losses. The simulation framework validates the mechanical integrity and deformation behavior under realistic load conditions.

An Optimization Procedure for Springback Compensation using LS-OPT

N. Stander, M. Burger, X. Zhu, B. Maker

This paper outlines an optimization-based strategy for compensating springback in metal forming through precise shape optimization of die geometry. Using parametric modeling with TrueGrid and LS-OPT, the method iteratively adjusts design variables to minimize post-forming deviations, resulting in significantly improved part accuracy. The process demonstrates the power of response surface-based modeling in guiding efficient and robust geometry correction.

Shape Optimization for Head and Knee Impact Featuring Adaptive Mesh Topology and a Discrete Variable

Nielen Stander, Mike Burger, Suri Balasubramanyam

This study showcases how shape optimization and parametric modeling, supported by adaptive mesh strategies and discrete variable handling, can effectively enhance crashworthiness in vehicle interiors. Using the SRSM framework, it optimizes designs for knee and head impact scenarios while maintaining mesh quality and simulation fidelity across complex design spaces. The results highlight significant gains in occupant protection with minimal iterations.