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result stability, number of function evaluation (NFE), computing time, computing stability.
The stability number reduces continuously with a decrease in the spacing between the tunnels.
The result is an in-deep analysis of the relationships among Stability Number, Damage Level and Number of tsunami waves.
This study presents a probabilistic neural network (PNN) technique for predicting the stability number of armor blocks of breakwaters.
This study presents another soft computing approach, i.e. model trees for predicting the stability number of armor blocks.
Therefore, selection of an appropriate wave height parameter is very vital in the prediction of stability number.
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The stability numbers presented in this note would be beneficial from a design point of view.
Damage progression is subsequently described by the ratio of actual and critical stability numbers.
Stability numbers for different seismic coefficients are computed and compared with other existing solutions.
Emphasis is made on the definition of two different stability numbers.
The differences in the stability numbers of the upper and lower bound solutions are bracketed within ±10.5% or better, and the stability numbers obtained are presented in rock slope stability charts.
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