2020
DOI: 10.1016/j.compgeo.2020.103548
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Improved robust design of rock wedge slopes with a new robustness measure

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Cited by 7 publications
(2 citation statements)
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“…Doing so reduces the number of reliability analyses for M (the number of designs in the design space), but still uses mathematically complex operations, and input parameters remain unaltered. Different authors introduce changes into the design robustness measure [5][6][7][8][9][10], which also greatly reduces the number of reliability analyses for M, and simplifies the input parameters; however, complex mathematical procedures are still applied, unlike the ones used in everyday engineering practice.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Doing so reduces the number of reliability analyses for M (the number of designs in the design space), but still uses mathematically complex operations, and input parameters remain unaltered. Different authors introduce changes into the design robustness measure [5][6][7][8][9][10], which also greatly reduces the number of reliability analyses for M, and simplifies the input parameters; however, complex mathematical procedures are still applied, unlike the ones used in everyday engineering practice.…”
Section: Discussionmentioning
confidence: 99%
“…The same robustness measure is applied by Zhou et al [8] in geotechnical slope design. Fan et al [9] define a new robustness measure for application in the design of rock wedge slopes-the sensitivity index of variability (SIV). The main shortcoming of SIV, considering its more general application in geotechnics, is the assumption that all random variables are independent and normally distributed, which is often not the case in practice.…”
Section: Introductionmentioning
confidence: 99%