Reliability is defined by the balance between load and strength.
Problem
Components are often designed based on ideal assumptions, while real operating conditions introduce varying loads that can reduce reliability.
Approach
I developed a physics-based model to quantify thermal loads and relate them to material strength using stress–strength principles.
Outcome
The approach enables estimation of reliability margins and supports design decisions under realistic operating conditions.
What I did
• Defined a structured decision logic for reliability modeling
• Combined system knowledge, field data, and constraints
• Developed criteria for selecting modeling strategies
• Combined system knowledge, field data, and constraints
• Developed criteria for selecting modeling strategies
What was difficult
• Balancing theoretical approaches with practical feasibility
• Handling limited and heterogeneous data
• Making decisions under uncertainty
• Handling limited and heterogeneous data
• Making decisions under uncertainty
What I learned
• Structuring the problem is more important than choosing the model
• Not all components require the same level of modeling depth
• Clear decision logic improves both analysis and communication
• Not all components require the same level of modeling depth
• Clear decision logic improves both analysis and communication
