| FullText URL | fulltext.pdf |
|---|---|
| Author | Huang, Menglu| Nishimura, Shin-ichi| Shibata, Toshifumi| Wang, Ze Zhou| |
| Keywords | Spatial variability Time-dependent reliability Convolutional neural networks Long short-term memory networks Attention mechanisms Landslide hazards |
| Published Date | 2025-02 |
| Publication Title | Computers and Geotechnics |
| Volume | volume178 |
| Publisher | Elsevier BV |
| Start Page | 106920 |
| ISSN | 0266-352X |
| NCID | AA10440832 |
| Content Type | Journal Article |
| language | English |
| OAI-PMH Set | 岡山大学 |
| Copyright Holders | © 2024 The Author(s). |
| File Version | publisher |
| DOI | 10.1016/j.compgeo.2024.106920 |
| Web of Science KeyUT | 001363806800001 |
| Related Url | isVersionOf https://doi.org/10.1016/j.compgeo.2024.106920 |
| FullText URL | fulltext20210421_3.pdf |
|---|---|
| Author | Nishimura, Shin-ichi| Shibata, Toshifumi| Shuku, Takayuki| |
| Keywords | risk evaluation earth-fill dam damage probability dam breaching spatial variability spatial variability natural disaster hazard curve fragility curve sounding test |
| Note | This fulltext is available in Apr. 2023| © 2020 Production and hosting by Elsevier B.V. on behalf of The Japanese Geotechnical Society. This manuscript version is made available under the CC-BY-NC-ND 4.0 License. http://creativecommons.org/licenses/by-nc-nd/4.0/. This is the accepted manuscript version. The formal published version is available at https://doi.org/10.1016/j.sandf.2020.09.004. | |
| Published Date | 2021-04 |
| Publication Title | Soils and Foundations |
| Volume | volume61 |
| Issue | issue2 |
| Publisher | Elsevier |
| Start Page | 271 |
| End Page | 282 |
| ISSN | 00380806 |
| NCID | AA00700879 |
| Content Type | Journal Article |
| language | English |
| OAI-PMH Set | 岡山大学 |
| Copyright Holders | © 2020 Production and hosting by Elsevier B.V. on behalf of The Japanese Geotechnical Society. |
| File Version | author |
| DOI | 10.1016/j.sandf.2020.09.004 |
| Web of Science KeyUT | 000634817700002 |
| Related Url | isVersionOf https://doi.org/10.1016/j.sandf.2020.09.004 |
| JaLCDOI | 10.18926/fest/58060 |
|---|---|
| Title Alternative | Efficient modelling of 3-d finite element mesh formation with use of 3-d topographic survey |
| FullText URL | fest_025_001_004.pdf |
| Author | KANESHIGE, Minoru| NISHIMURA, Shin-ichi| SHIBATA, Toshifumi| SHUKU, Takayuki| |
| Abstract | In this decade, 3-dimensional topographic survey has been developed by using the UAV as like drones. With the technique, the complete topographies of the geo-structures can be measured. Although the accurate shapes of the geo-structures can be obtained, the numerical methods as like the finite element method is are not related to the 3-dimensional survey directly. In this research, the finite mesh modelling technique with use of the 3-D topographic survey is developed. The models of the earth-fill embankments formed from measured 3-D data are introduced as the examples. |
| Keywords | 3-dimensional survey UAV finite element mesh modelling |
| Publication Title | 岡山大学環境理工学部研究報告 |
| Published Date | 2020-03 |
| Volume | volume25 |
| Issue | issue1 |
| Start Page | 1 |
| End Page | 4 |
| ISSN | 13419099 |
| language | Japanese |
| File Version | publisher |
