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Modal Behavior Assessment Using IGA on Automotive NVH Analysis

Ansys

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Overview

As Isogeometric Analysis (IGA) continues to gain momentum across the automotive industry, engineering teams are exploring how to integrate this promising technology into established simulation workflows. While IGA has already shown strong potential in crash applications using LS-DYNA, its advantages—superior accuracy, improved numerical robustness, and reduced degrees of freedom—suggest even broader applicability. This session introduces the first industrial evaluation of LS‑DYNA’s implicit IGA capabilities for Noise, Vibration, and Harshness (NVH) analysis. We will examine how IGA compares to conventional finite element analysis (FEA), assess its readiness for full‑vehicle NVH simulations, and highlight opportunities and remaining challenges on the path toward deployment.

What Attendees Will Learn

  • How LS-DYNA’s implicit solver supports IGA for NVH and stiffness simulations
  • Key differences between IGA and traditional FEA in terms of model creation and accuracy
  • Insights from an industrial-scale evaluation of full‑vehicle NVH modal analysis using IGA
  • Strengths, limitations, and early implementation challenges when applying IGA within existing automotive CAE workflows
  • Practical considerations for integrating IGA preprocessing into current simulation pipelines

Who Should Attend

This session is ideal for NVH engineers, CAE analysts, simulation method developers, and technical leaders seeking to understand the next evolution in structural analysis. Attendees working with LS‑DYNA will gain a clear view of how IGA could enhance their modeling accuracy and efficiency, and what it would take to introduce the technology into production workflows. Whether you are evaluating future simulation methods or looking for performance gains in full‑vehicle NVH analysis, this session provides data‑driven insights to inform your roadmap.

Speakers

  • Lluis Martorell
  • Felipe Vieira

Date / Time: March 31, 2026, 11 AM EDT

Venue:Virtual

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