Endurica is a product of Endurica LLC.
Endurica provides solutions that put you in control of durability issues of elastomers components early in the development cycle. Endurica was founded to accelerate reliable design for elastomer materials and components.
The Endurica fatigue life prediction code is a patented system for analyzing the effects of multiaxial, variable amplitude duty cycles on elastomers. Endurica is the world’s first code for elastomer fatigue life simulation.
The objective is to make CAE-based fatigue life prediction for rubber as widely practiced and as well-understood as fatigue life prediction for metallic materials by empowering developers with reliable methods and tools.
The Endurica solutions help our clients understand and manage the effects on fatigue life of nonlinear material behavior, component geometry, and complex duty cycles. Endurica has served leading companies in the automotive, medical device, offshore, and consumer products industries.
Send your technical questions to our experts!
Connect you with an EnginSoft expert who can provide a reliable answer to your technical question or recommend a
proven solution.

CASE STUDY
The car is designed to race on the ultra-flat Salt Flats in Bonneville, Utah. The racecar weighs less than 500kg so increasing the downforce was critical. Reducing aerodynamic drag was also critical due to the power requirements of the racecar.
cfd automotive

CASE STUDY
In this case study, EnginSoft engineers explain how they used modeFRONTIER to assist Comau, a Fiat Chrysler subsidiary, to optimize their approach to the preliminary design of production systems for automotive manufacturing system RFQs.
automotive optimization rail-transport modefrontier SIMUL8 iphysics industry4
CASE STUDY
Motorsport’s competitive demands drive innovation, such as optimizing fuel tank performance by reducing sloshing and ensuring efficient fuel extraction. This study explores a meshless CFD approach using Moving Particle Simulation (MPS) to streamline workflows and reduce computational costs compared to traditional finite volume method (FVM) CFD.
automotive cfd particleworks

CASE STUDY
In this technical article, EnginSoft and Prometech explain how they executed a highly complex computational simulation on the fluid-structure interaction of the oil flow inside a reciprocating engine, on behalf of Honda R&D.
automotive cfd particleworks