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This research pioneers a multiphysics-fused critical scenario synthesis framework to resolve the certification challenge of identifying extreme dynamic loading conditions for aircraft seats during emergency landings. In compliance with FAA AC 25.562-1B and SAE AS8049B, we formulated a tri-axial parametric domain encompassing seat compliance characteristics, floor pre-distortion envelopes, and ATD deployment topologies. We develop a high-fidelity multibody FE model in Abaqus/Explicit to capture seat-track-ATD coupling dynamics, incorporating nonlinear material behavior and contact interactions. Through pre-deformation sensitivity screening and dynamic impact prognostics, the framework achieved a 62.5% reduction in computational burden (from 24 to 9 cases) while constraining predictive errors below 3.3%. Validation under dual-seat critical scenarios (10° right yaw + dual ATDs) reveals 913 MPa von Mises stress localization in leg-lock mechanisms, triggering incipient structural failure. This work establishes a certification-accelerated paradigm that synergizes failure mechanism prognostics with regulatory compliance, demonstrating 25.7% higher efficiency than conventional methods for next-generation seat safety validation.

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Failure-Triggering Scenario Synthesis via Multiphysics Integration for Aircraft Seat Certification Under Dynamic Impacts

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

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  • Yafeng Wang,
  • Jijun Liu

摘要

This research pioneers a multiphysics-fused critical scenario synthesis framework to resolve the certification challenge of identifying extreme dynamic loading conditions for aircraft seats during emergency landings. In compliance with FAA AC 25.562-1B and SAE AS8049B, we formulated a tri-axial parametric domain encompassing seat compliance characteristics, floor pre-distortion envelopes, and ATD deployment topologies. We develop a high-fidelity multibody FE model in Abaqus/Explicit to capture seat-track-ATD coupling dynamics, incorporating nonlinear material behavior and contact interactions. Through pre-deformation sensitivity screening and dynamic impact prognostics, the framework achieved a 62.5% reduction in computational burden (from 24 to 9 cases) while constraining predictive errors below 3.3%. Validation under dual-seat critical scenarios (10° right yaw + dual ATDs) reveals 913 MPa von Mises stress localization in leg-lock mechanisms, triggering incipient structural failure. This work establishes a certification-accelerated paradigm that synergizes failure mechanism prognostics with regulatory compliance, demonstrating 25.7% higher efficiency than conventional methods for next-generation seat safety validation.