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What Is the Damage Index™?
A unified 0–100% metric that measures cumulative damage across all active damage modes, including their interactions.

37%
Life Remaining


ElastoSure Products Powering K-FAIL
The Real Cost Isn't Aging. It's Uncertainty.
Conventional testing is slow and expensive. K-Fail predicts remaining life before failure occurs.
01
Over Replacement
Replacing materials too early wastes time, money, and valuable service life.
02
Under Replacment
Replacing materials too late increases the risk of failures and costly downtime.
03
Field Failures
Unexpected failures interrupt operations and reduce product reliability.
04
Qualification Delays
Long testing cycles delay approvals and slow product development.
Accelerating the Digital Transformation of Industry with Simulation
Every industy faces unique, constantly evolving challenges. ElastoSure delivers the expertise, capabilities and tools to transform the design and production processes of industries.
Decision-Ready Lifetime Predictions
Predict shelf life, remaining useful life, failure thresholds, and uncertainty, all in one simulation.
MODELS
Predicts how materials change throughout their service life.
▪ Material Aging
▪ Fatigue Behavior
▪ Failure Thresholds
ELIMINATES
Removes uncertainty before costly failures occur.
▪ Guesswork
▪ Unexpected Failures
▪ Qualification Delays
DELIVERS
Provides engineering insights for faster, confident decisions.
▪ Remaining Useful Life (RUL)
▪ Failure Probability
▪ Risk-Based Decisions
How K-Fail Works
From raw material data to decision-ready lifetime predictions in four simple steps.
INPUT DATA
Collect the material, environmental, and loading conditions that define real-world performance before prediction begins.
▪ Material properties
▪ Mechanical loading
▪ Environmental conditions
▪ Test & qualification data
AGING MODEL
Physics-based simulation combines material science with AI to model how degradation evolves throughout the service life.
Physics
+
AI
Lifetime Simulation
FAILURE THRESHOLD
Identify the point where performance no longer satisfies safety, reliability, or certification requirements.
▪ Failure probability
▪ Critical degradation point
▪ Safety margin
REMAINING USEFUL LIFE
Convert imulation results into actionable maintenance and replacement decisions with confidence.
Prediction
Risk
Service Window
8.7 Years
Low
2.1–3.4
Years
Real-World Proof Behind the Polymer Aging & Durability Simulation Software
Prediction Accuracy
95%
For long-term durability prediction
Experimental Tests
80,000+
Used for training and validation
vs. 6 Months
35 Days
Replacing long-weathering tests
Faster Analysis
5–10×
Compared to traditional FE models
Frequently Asked Questions
Learn how K-Fail predicts material lifetime, supports engineering decisions, and integrates into your existing workflow.

K-Fail
Assessment of Remaining Useful Life in Polymeric Components
Reliability analysis of polymeric components is based on identifying remaining useful life (RUL) and exposure to environmental and mechanical stressors. K-Fail computes RUL from radiation and thermal oxidation during service, as well as strength loss caused by one-time extreme events.
Brochures
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