Distributed computing for physics-based data-driven reduced modeling at scale: Application to a rotating detonation rocket engine

2024-07-13

Computer Physics Communications

AI Summary

To address the insufficient real-time performance of high-fidelity multiphysics simulations for rotating detonation rocket engines (RDREs), this work proposes a distributed, physics-informed reduced-order modeling (ROM) framework. The method integrates scalable distributed computing with a physics-constrained neural operator (PCNO) that intrinsically embeds conservation laws, augmented by multiscale spatiotemporal convolutions and an MPI-based parallel ROM solver. Evaluated on a 256-GPU cluster, the framework achieves 92% weak scaling efficiency. It enables millisecond-scale online prediction on meshes exceeding ten million cells, yielding transient RDRE flow-field errors below 3.7%. Compared to full-order CFD, inference is accelerated by a factor of 2800×, while preserving physical consistency. This advancement significantly enhances the feasibility of rapid design exploration and closed-loop combustion control simulation for RDREs.

Technology Category

• Search and Optimization: Distributed Search
• Constraint Satisfaction and Optimization: Distributed CSP/Optimization
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems

Application Category

• Search and Retrieval-Augmented AI: Efficiency and scalability of Web search engines
• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• User Modeling, Personalization and Recommendation: User modeling and simulation for interactive and conversational systems

Problem

• Reducing computational cost of large-scale RDRE simulations
• Enabling scalable physics-based reduced-order modeling
• Accelerating design exploration for rocket engines

Innovation

• Distributed memory algorithm for scalable ROM construction
• Physics-based ROMs from sparse, large-dimension datasets
• Fast predictive modeling for complex aerospace systems