Search of Non-circular Slip Surface Based on Improved FOA Article Swipe
Hong Shen
,
Xiuling Yu
,
Pengyi Wang
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.11648/j.ajce.20210906.14
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.11648/j.ajce.20210906.14
The determination of the most critical non-circular slip surface can be attributed to the optimization of complex non-linear multi-peak function due to its numerous control variables and large amount of calculation. It is a trend in recent years to apply intelligent optimization algorithm into slope stability analysis. Considering that the standard Fruit fly Optimization Algorithm (FOA) is prone to fall into local extremum, the improved Fruit fly Optimization Algorithm is obtained by incorporating the standard FOA with the simulated annealing idea. In order to improve the search efficiency, a fixed step size is adjusted to an adaptive step size, and a double tier search strategy is proposed to be applied: the potential non-circular slip surface is obtained from the outer layer, and the factor of safety along the potential slip surface is calculated step by step from the inner layer. The improved FOA is applied to a slope with weak interlayer. The feasibility, superiority and efficiency of the improved algorithm are proved by comparing its answers to the judges'. Different inter-slice force functions, various initial values of Fs and λ are assumed, and the results show that these parameters could hardly affect final solution for safety factor.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.11648/j.ajce.20210906.14
- https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajce.20210906.14.pdf
- OA Status
- diamond
- Cited By
- 1
- References
- 5
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3216758721
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3216758721Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.11648/j.ajce.20210906.14Digital Object Identifier
- Title
-
Search of Non-circular Slip Surface Based on Improved FOAWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-01-01Full publication date if available
- Authors
-
Hong Shen, Xiuling Yu, Pengyi WangList of authors in order
- Landing page
-
https://doi.org/10.11648/j.ajce.20210906.14Publisher landing page
- PDF URL
-
https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajce.20210906.14.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajce.20210906.14.pdfDirect OA link when available
- Concepts
-
Simulated annealing, Slip (aerodynamics), Mathematics, Mathematical optimization, Safety factor, Surface (topology), Algorithm, Optimization problem, Control theory (sociology), Computer science, Structural engineering, Geometry, Engineering, Control (management), Artificial intelligence, Physics, ThermodynamicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2023: 1Per-year citation counts (last 5 years)
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5Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.step | 90, 97, 133, 135 |
| abstract_inverted_index.that | 48, 186 |
| abstract_inverted_index.tier | 102 |
| abstract_inverted_index.weak | 149 |
| abstract_inverted_index.with | 76, 148 |
| abstract_inverted_index.(FOA) | 55 |
| abstract_inverted_index.Fruit | 51, 65 |
| abstract_inverted_index.along | 126 |
| abstract_inverted_index.apply | 39 |
| abstract_inverted_index.could | 189 |
| abstract_inverted_index.final | 192 |
| abstract_inverted_index.fixed | 89 |
| abstract_inverted_index.force | 171 |
| abstract_inverted_index.idea. | 80 |
| abstract_inverted_index.inner | 138 |
| abstract_inverted_index.large | 27 |
| abstract_inverted_index.local | 61 |
| abstract_inverted_index.order | 82 |
| abstract_inverted_index.outer | 119 |
| abstract_inverted_index.prone | 57 |
| abstract_inverted_index.size, | 98 |
| abstract_inverted_index.slope | 44, 147 |
| abstract_inverted_index.these | 187 |
| abstract_inverted_index.trend | 34 |
| abstract_inverted_index.years | 37 |
| abstract_inverted_index.affect | 191 |
| abstract_inverted_index.amount | 28 |
| abstract_inverted_index.double | 101 |
| abstract_inverted_index.factor | 123 |
| abstract_inverted_index.hardly | 190 |
| abstract_inverted_index.layer, | 120 |
| abstract_inverted_index.layer. | 139 |
| abstract_inverted_index.proved | 161 |
| abstract_inverted_index.recent | 36 |
| abstract_inverted_index.safety | 125, 195 |
| abstract_inverted_index.search | 86, 103 |
| abstract_inverted_index.values | 175 |
| abstract_inverted_index.answers | 165 |
| abstract_inverted_index.applied | 144 |
| abstract_inverted_index.complex | 16 |
| abstract_inverted_index.control | 24 |
| abstract_inverted_index.factor. | 196 |
| abstract_inverted_index.improve | 84 |
| abstract_inverted_index.initial | 174 |
| abstract_inverted_index.results | 184 |
| abstract_inverted_index.surface | 8, 114, 130 |
| abstract_inverted_index.various | 173 |
| abstract_inverted_index.adaptive | 96 |
| abstract_inverted_index.adjusted | 93 |
| abstract_inverted_index.applied: | 109 |
| abstract_inverted_index.assumed, | 181 |
| abstract_inverted_index.critical | 5 |
| abstract_inverted_index.function | 19 |
| abstract_inverted_index.improved | 64, 141, 158 |
| abstract_inverted_index.judges'. | 168 |
| abstract_inverted_index.numerous | 23 |
| abstract_inverted_index.obtained | 70, 116 |
| abstract_inverted_index.proposed | 106 |
| abstract_inverted_index.solution | 193 |
| abstract_inverted_index.standard | 50, 74 |
| abstract_inverted_index.strategy | 104 |
| abstract_inverted_index.Algorithm | 54, 68 |
| abstract_inverted_index.Different | 169 |
| abstract_inverted_index.algorithm | 42, 159 |
| abstract_inverted_index.analysis. | 46 |
| abstract_inverted_index.annealing | 79 |
| abstract_inverted_index.comparing | 163 |
| abstract_inverted_index.extremum, | 62 |
| abstract_inverted_index.potential | 111, 128 |
| abstract_inverted_index.simulated | 78 |
| abstract_inverted_index.stability | 45 |
| abstract_inverted_index.variables | 25 |
| abstract_inverted_index.attributed | 11 |
| abstract_inverted_index.calculated | 132 |
| abstract_inverted_index.efficiency | 155 |
| abstract_inverted_index.functions, | 172 |
| abstract_inverted_index.multi-peak | 18 |
| abstract_inverted_index.non-linear | 17 |
| abstract_inverted_index.parameters | 188 |
| abstract_inverted_index.Considering | 47 |
| abstract_inverted_index.efficiency, | 87 |
| abstract_inverted_index.intelligent | 40 |
| abstract_inverted_index.inter-slice | 170 |
| abstract_inverted_index.interlayer. | 150 |
| abstract_inverted_index.superiority | 153 |
| abstract_inverted_index.Optimization | 53, 67 |
| abstract_inverted_index.calculation. | 30 |
| abstract_inverted_index.feasibility, | 152 |
| abstract_inverted_index.non-circular | 6, 112 |
| abstract_inverted_index.optimization | 14, 41 |
| abstract_inverted_index.determination | 1 |
| abstract_inverted_index.incorporating | 72 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.51884583 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |