The partial safety factor method commonly necessitates a set of multiplying factors (MFs) to
modify the basic variables; hence, when multiple variables are included, it is complicated for …

This study proposes a facile procedure to overcome extensive computational burdens in
Monte Carlo simulation (MCS)-based load and resistance factors (LRFs) calibration …

Slope stabilities are mainly designed using the conventional design approach (CDA), where
the limit equilibrium methods (LEMs) are performed. Fellenius and Bishop's simplified …

Due to the limit state functions commonly defined in implicit fashions, calibrations of load
and resistance factors for limit state designs of breakwater foundations using Monte Carlo …

The probabilistic analyses provide a more rational approach for the safety assessment of
structures since they consider the uncertainties in the calculations. Consequently, the design …

Many studies have recognized that spatial variability of soil (SVS) has significant influences
on the reliability analysis of geotechnical engineering problems. However, the influence of …

Monte Carlo simulation (MCS)-based calibrations can accurately determine probabilistic
load and resistance factors (LRFs) needed in the limit state designs. However, most of the …

This study aims to propose an efficient approach to calibrate the load and resistance factors
(LRFs) for the limit state design of breakwater foundations. The spatial variability of soil was …

The load resistance factor according to the target reliability level was proposed using 16
vertical breakwaters constructed along the coast of Korea. Limit state functions for sliding …

Engineering problems are mainly defined in implicit processes; hence, the fully probabilistic
analyses, eg, Monte Carlo simulations (MCS), are expensive to implement. In practice, two …