Journal of System Simulation ›› 2025, Vol. 37 ›› Issue (8): 1907-1920.doi: 10.16182/j.issn1004731x.joss.25-0269

• Special Column:Developments and Perspectives of Digital Testing and Evaluation Technologies • Previous Articles    

Storage Life Assessment Methods for Long-term Storage Products Based on Multi-scale Simulation: A Review

Li Hongmin1,2, Han Xiao2, Huang Shuo2, Zhang Shengpeng1,2, Rong Shuanglong2, Li Hao2, Qian Cheng1   

  1. 1.School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China
    2.Aerospace Science & Industry Defense Technology Research and Test Center, Beijing 100854, China
  • Received:2025-04-08 Revised:2025-07-02 Online:2025-08-20 Published:2025-08-26
  • Contact: Qian Cheng

Abstract:

Traditional experiment-based life assessment methods for long-term storage products suffer from drawbacks such as prolonged duration, high cost, and low prediction accuracy, greatly limiting the effectiveness of storage life assessment in practical applications. With the advancement of digital simulation technology, simulation analysis methods based on the physics of failure (PoF) have emerged as a research hotspot in the field of storage life assessment, as they can accurately characterize product aging behavior. The multi-scale characteristics of long-term storage products and their typical storage failure modes and mechanisms were analyzed. Multi-scale modeling and simulation analysis methods for storage failures of fundamental products were discussed, including non-metallic materials, metallic materials, and electronic components. Storage life assessment methods for complete equipment were reviewed by product categories. Future development directions for the storage life assessment of long-term storage products were proposed. This paper further enriched and refined the overall technical roadmap for storage life simulation from microscopic damage to macroscopic failure.

Key words: multi-scale simulation, storage failure, aging behavior simulation, storage life prediction

CLC Number: