Endurica CL™ is our original, full-featured solver for elastomer fatigue analysis. It is FE-code neutral, with a command line / text file interface that provides access to advanced capabilities for rubber and elastomer analysis. Endurica CL™ is sold and supported directly by Endurica LLC, the developer.
Endurica CL™ enables you to analyze fatigue performance of your model within all major nonlinear finite element codes: Abaqus, ANSYS and MSC/MARC.
The Endurica Viewer
The video below illustrates how the Endurica viewer fits into the durability analysis workflow for a tire, including viewing verification results for the specified materials, calibrating crack precursor size, and visualizing critical plane history (including the crack open/close state) and orientation. The Endurica viewer is included with Endurica CL, and is available as a free download to current fe-safe/rubber licensees.
Under certain conditions, Natural Rubber can endure surprisingly large loads. The effect has origins in NR’s tendency to partially crystallize under nonrelaxing loads. We used a tabular function to define the dependence of the crystallization on the R ratio (where R = Tmin / Tmax) for a series of rubbers with varying degrees of the crystallization effect. For each elastomer in the series, the stress-strain, crack growth, and crack precursor size properties have been held constant. For each, we computed the Haigh diagram, which maps out the dependence of the uniaxial fatigue life as a function of mean strain and strain amplitude. The calculation reveals that the larger the crystallization effect, the more life benefit that can be derived from operating at moderate mean strains. It also shows that the effect is highly nonlinear and limited. Eventually, increasing the mean strain beyond certain limits will be harmful.
Critical plane analysis is essential when analyzing fatigue performance under complex loading. This cradle mount is subject to vertical loading from the weight of the transmission, shocks from bumps in the road, as well as drive-train vibrations. We ran a Finite Element Analysis of the mount using the displacement histories for the X, Y, and Z directions as shown below. The top mounting surface is free to rotate under load. We then used the Endurica fatigue solver to calculate fatigue life (as the number N of repeats of the given load history) for each element in the model. The results are displayed as color contours on the mount. The failure mode is initiation of a crack at the upper left corner of the mount. Once the critical location in the mount is identified, then diagnostic outputs are generated for that location. Here, we checked the driving force on a crack precursor at the critical location (ie the cracking energy density), as well as the crack open/close state. The cracking energy density history allows you to see which time in the history does the most damage to the part (the peak at 53 sec). Tracking whether the crack is open or closed ensures proper accounting for the beneficial effects of compressive loads. Only the part of the load that opens or shears the crack precursor does damage. In this analysis, the crack remains open at all times except for a brief period around 40-41 sec. This indicates an opportunity to improve part life by modifying geometry or loads to induce crack closure at critical times.
Rainflow counting accurately identifies loading and unloading events within a complex duty cycle. This bushing is subject to a two channel loading history of radial forces in the X-direction and axial forces in the Y-direction as shown below. We ran a Finite Element Analysis of the bushing to calculate the stresses and strains on the bushing. We then performed a critical plane analysis using the Endurica fatigue solver to obtain the local load history shown below. We then used the Endurica fatigue solver to parse the load signal into a list of discrete events using the rainflow counting algorithm. Each event contributes to the total rate of crack growth during a complete cycle. The list of the five most damaging events are shown below with references to their start and end in the signal time increment and the crack growth rate of each event. The most damaging events are quickly identified in the loading signal allowing for further opportunities to optimize the design to improve fatigue life. The bushing is shown below at the peak instant for each of the five most damaging events.
|IPoint #||Peak CED (MPa)||R ratio||FCGR (mm/cyc) at C0||Increment Start||Increment End|
Table listing top 5 critical events calculated using rainflow counting.
The stresses in a rolling tire combine tension from the inflation pressure, compression in the tire footprint and between the bead and rim, and shearing and bending in the carcass and shoulder. Endurica’s temperature-dependent elastomer material models, support for multiple materials in a single analysis, and critical plane analysis methodology are ideal for the analysis of crack development in tires. The critical plane analysis procedure enables an accurate accounting to be made of the effects of crack closure during rolling. In particular, for this reason, the critical plane analysis method is superior to prior art fatigue analysis approaches based on scalar invariants such as strain energy density. The analysis provides a wealth of information about the detailed failure mechanics of each point in the tire. Outputs include the fatigue life for each element, the orientation of the critical plane in each element, and the history of local loading experienced by crack precursors on the critical plane. The use of a fracture mechanical material definition of fatigue behavior in the model means that both materials engineers and tire development engineers can work from a common understanding of the material, and that efficient methods are available to measure the properties required to build the simulation.
Speed Up / Signal Compression added to Endurica CL in 2019