Your English writing platform
Discover LudwigExact(9)
The longitudinal strain is a recently proposed failure parameter which should be measured along the adhesive mid-plane, at a specific distance away from the joint bonding end.
It could be concluded that the introduced failure parameter could take into account the decrease in joint strength due to an increase in bondline thickness.
First, the primary failure cumulative distribution function (PFCDF) of the generalized failure parameter is derived from experimental results for a given reference size, taking into account the non-uniform distribution of the generalized parameter (GP) the specimens are submitted to.
Consequently, a new failure parameter referred as the configurational damage parameter (abbreviated as Π-parameter) is proposed by the appropriate formulation via the M-integral, the remote uni-axial load, and the inner variable of the damaged area.
Note that the failure parameter (kappa_{j,k}) is allowed to be time varying during each time interval ([t_{k}, t_{k+1})) for (k = 0,1,ldots) and (b_{j}) ((j=1,ldots,m)) are unknown control coefficients. The instability cannot be ensured when ([t_{k}, t_{k+1})) and (b_{j}) are not contained in the Lyapunov function.
Definitions of the out-of-phase failure and out-of-phase failure angle are proposed, as well as an out-of-phase failure parameter that can be used to express the interdependent relationship with the out-of-phase failure, in both normal-type and shear-type failure.
Similar(51)
Here, the number of parameters is six threee failure parameters and three repair parameters).
Moreover, precise failure parameters of actuators are not required, and the only requirements are the lower and upper bounds of failure parameters.
Moreover, the precise failure parameters of the actuators are not required, and the requirements are only the lower and upper bounds of failure parameters.
The failure parameters of the JH-1 model are also validated in the current numerical approach.
The results show crack propagation behavior is highly dependent on the variations of the failure parameters.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com