masters of the world geopolitical simulator 3 crack 5.12

Prediction of slope stability using artificial neural network (case study: Noabad, Mazandaran, Iran)Ĭhoobbasti, A J Farrokhzad, F Barari, A From the obtained results, we need to consider progressive failure in evaluating earthquake induced rock slope failure. Resultant conclusions are mainly as follows: (1) The slope model collapsed when it was excited by the sine wave of 400gal, which was converted to real field scale, (2) Artificial discontinuities were considerably concerned in the collapse, and the type of collapse was plane failure, (3) From response acceleration records observed at the slope model, we can say that tension cracks were generated near the top of the slope model during excitation, and that might be cause of the collapse, (4) By considering generation of the tension cracks in the stability analysis, correspondence of the analytical results and the experimental results improved. The test results were compared with safety factors of the stability analysis based on the limit equilibrium concept.

The centrifugal acceleration was 50G, and the acceleration amplitude of input sin waves increased gradually at every step. We conducted a centrifuge model test using a dip slope model with discontinuities limitated by Teflon sheets. The purpose of this study is to analyze dynamic failure characteristics of rock slopes by centrifuge model tests for verification and improvement of the analytical methods. Under these circumstances, it is essential to evaluate more accurately the possibilities of rock slope failure and the potential failure boundary, which are triggered by earthquake ground motions. Recently, it is necessary to assess quantitatively seismic safety of critical facilities against the earthquake induced rock slope failure from the viewpoint of seismic PSA. International Nuclear Information System (INIS) Centrifuge model test of rock slope failure caused by seismic excitation.

Masters of the world geopolitical simulator 3 crack 5.12