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Advanced Manufacturing

Computational Fabric-Weave Modeling Enhances Understanding of Parachute Energy Modulator Failures

A detailed LS-DYNA computational model captured stitch-level fabric behavior in energy modulators to investigate failure variability observed in reentry parachute tests.

AI-ASSISTED REPORTING · RETROSPECTIVE ARCHIVE

Retrospective edition: 2026-03-10. Source published: 2026-03-10. Added to this archive: 2026-11-03. This briefing was prepared later from the linked announcement; it was not published on this website on the historical edition date.

To address variability and unpredictable failure of textile energy modulators (EMs) used in parachutes, researchers developed a computational model replicating fabric weave and stitching patterns in LS-DYNA. The model simulates nylon stitch tearing and Kevlar webbing response during deployment to analyze normal and anomalous failure modes such as skipped stitches causing webbing shredding.

A Python scripting approach automated constructing complex EM geometries, enabling detailed simulation of dynamic loading. This modeling provides insights into mechanical root causes challenging to resolve experimentally, improving understanding of EM reliability and informing design improvements for shock load mitigation in reentry systems.

Source & further reading

Computational Modeling of Failure at the Fabric Weave Level in Reentry Parachute Energy Modulators ↗

Source published 2026-03-10. This report was prepared with AI assistance from the linked primary-source material. Claims and limitations should be checked against the original announcement or research.