Endurica CL™
Endurica CL is our core solver for elastomer fatigue analysis.
Comprehensive Suite of Elastomer Fatigue Analysis Software
From precise fatigue life predictions to advanced durability optimization, Endurica’s suite of software equips you with the tools to tackle every challenge in elastomer fatigue analysis.
Explore the full suite of Endurica software
Endurica is the world’s best-validated fatigue life simulation system for elastomers, and our workflows get rubber products to market faster.
Endurica’s suite of software offers unparalleled solutions for elastomer fatigue analysis. Whether you’re predicting fatigue life, optimizing designs, or diagnosing material performance, each tool in our lineup is engineered to provide the accuracy, scalability, and reliability your projects demand.
Endurica DT
Endurica DT - Incremental fatigue solver for precise durability analysis
Endurica EIE
Simulate durability impacts of full-length loading signals with Endurica EIE
Endurica MP™
Endurica MP™ is our multi-physics solver for elastomer fatigue analysis.
fe-safe/Rubber™
Simplify fatigue life evaluation with advanced elastomer models and seamless FEA integration.
Trusted by world-class innovators: join leading companies optimizing their durability with Endurica CL
Tenneco
Maxxis
Goodyear
Rassini
Take a tour Endurica’s cutting-edge features
Innovative solutions for fatigue life prediction
Endurica’s software delivers advanced tools for predicting the fatigue life of elastomers, empowering engineers to optimize product performance and durability. Each feature presented here represents our commitment to cutting-edge technology, ensuring you have the precision and flexibility needed for accurate fatigue analysis. Explore the key capabilities that set Endurica apart and discover how they can streamline your engineering workflow.
The primary strength of Endurica is dealing with complex loading signals.
- Critical Plane Analysis
- Rainflow Counting
- Nonlinear Material Behavior
- Fatigue Testing Methods
Critical plane analysis enables accurate calculation of the effects of multiaxial loading on fatigue performance. The analysis considers how a series of potential microcracks will experience the 6 components of the stress tensor. Each potential microcrack is identified by its unit normal vector, and the set of all unit normals is represented as a sphere colored according to the life computed for each normal. The shortest life among all of the normals (colored red in the image) is reported as the fatigue life and its location on the sphere shows the plane on which cracks first initiate. We developed and patented the first critical plane analysis for elastomers. Our algorithm considers the effects of finite straining and of crack closure.
Rainflow counting considers how variable amplitude loading will influence fatigue performance. The load signal experienced by each microcrack is first obtained via critical plane analysis. It is then parsed into a list of discrete events. Each event contributes to the total rate of crack development according to the crack growth rate law of the material. Our implementation includes an index back into the original time domain signal, so that the most damaging events can be quickly identified.
Elastomers exhibit a rich set of behaviors. Physically realistic, nonlinear models are provided in our fatigue solver to represent cyclic stress-strain behavior, strain crystallization effects (or lack of), and time and temperature dependence. For each behavior, both minimalistic and high accuracy models are provided, giving analysts a high degree of control over analysis scope and accuracy.
Our 3rd generation testing methods reflect the state of the art in fatigue testing for elastomers. Traditional fatigue testing methods offer too little control over execution time and data scatter, and they indiscriminately confound various influences on fatigue performance. Our testing methods are designed to produce accurate results within a pre-specified time budget. They are physics-based and are optimized to give the best possible observation of each factor governing fatigue performance.
Critical Plane Analysis
Critical plane analysis enables accurate calculation of the effects of multiaxial loading on fatigue performance. The analysis considers how a series of potential microcracks will experience the 6 components of the stress tensor. Each potential microcrack is identified by its unit normal vector, and the set of all unit normals is represented as a sphere colored according to the life computed for each normal. The shortest life among all of the normals (colored red in the image) is reported as the fatigue life and its location on the sphere shows the plane on which cracks first initiate. We developed and patented the first critical plane analysis for elastomers. Our algorithm considers the effects of finite straining and of crack closure.
Rainflow Counting
Rainflow counting considers how variable amplitude loading will influence fatigue performance. The load signal experienced by each microcrack is first obtained via critical plane analysis. It is then parsed into a list of discrete events. Each event contributes to the total rate of crack development according to the crack growth rate law of the material. Our implementation includes an index back into the original time domain signal, so that the most damaging events can be quickly identified.
Nonlinear Material Behavior
Elastomers exhibit a rich set of behaviors. Physically realistic, nonlinear models are provided in our fatigue solver to represent cyclic stress-strain behavior, strain crystallization effects (or lack of), and time and temperature dependence. For each behavior, both minimalistic and high accuracy models are provided, giving analysts a high degree of control over analysis scope and accuracy.
Fatigue Testing Methods
Our 3rd generation testing methods reflect the state of the art in fatigue testing for elastomers. Traditional fatigue testing methods offer too little control over execution time and data scatter, and they indiscriminately confound various influences on fatigue performance. Our testing methods are designed to produce accurate results within a pre-specified time budget. They are physics-based and are optimized to give the best possible observation of each factor governing fatigue performance.