5. Conclusion

A Finite Element model to predict the structural behaviour of cable bolts under both static and dynamic loading was presented. The models were initially calibrated against the experiments available in the literature. By taking the advantage of numerical modelling, some of the localised structural performance of cable bolts under both static and dynamic loading can be observed. By computing the area under curves of the load–displacement curves under both static and dynamic loading, the amount of the absorbed energy in each cable bolt can be estimated. The results indicate that numerical modelling can be used to assess the rock bolt behaviour under dynamic loading for designing the ground support in burst-prone conditions. Numerical techniques can predict an acceptable estimation of the reaction of cable bolts under impact or impulse loading. The most recognised advantages of numerical modelling are that following the initial calibration stage, variety of loading conditions can be modelled and the behaviour of bolts can be studied in greater detail compared with laboratory tests. The current simulations can be taken into account as a cost-effective replacement instead of using drop test facilities. As indicated, drop test facilities are very complicated and expensive. Also, it needs to hire highly skilful technical staffs to calibrate the measurement tools including data acquisition system and the load cell. Subsequently, extracting the induced data after performing the impact test, individually, when it comes to remove the effect of the inertia forces, is one of the significant tasks. In the second section of the current paper, extensive parametrical studies from the developed Finite Element models will be undertaken. The main purpose of doing the following parametrical studies is to determine realistic and technical design guidelines for the combined support against impulsive dynamic loading.

### Acknowledgements

This research was undertaken with the assistance of resources and services from the National Computational Infrastructure (NCI), which is supported by the Australian Government.

Computational Models in Engineering
