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This paper proposes a general deterioration model for a multi-component system.
Considering the strain rate effect, deterioration model was built to predict the STS degradation of rock after repeated TS.
The updated system reliability is then obtained through coupling the updated deterioration model with a probabilistic structural model.
The methodology used for developing the deterioration model and the aspects which need further improvement are given in this paper.
It is shown that a fuzzy-probabilistic uncertainty model combined with an empirical deterioration model provides the best balance between user-friendliness and accuracy.
Some preliminary experimental results demonstrate the feasibility and advantages of the proposed deterioration model for describing highly stochastic degradation processes in industrial engineering.
Similar(34)
Accurate deterioration models play a critical role in designing and managing transportation infrastructure.
The highways programme has products to support agencies improve their strategic asset management, including the highway infrastructure asset management guidance, the pot hole review, the lifecycle planning and deterioration modelling toolkit and the highway drainage guidance.
However, deterioration modeling usually entails complex models and large number of uncertainties, where closed-form solutions are not available for estimation of the stochastic performance measures.
Considering the strain rate effect, deterioration models of dynamic UCS and Ed were built to predict the dynamic mechanical degradation of porous rock after repeated TS weathering.
In this study, three different deterioration models have been developed that can predict the future performance of pavements in urban HMA paved roads.
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