start-ver=1.4
cd-journal=joma
no-vol=178
cd-vols=
no-issue=
article-no=
start-page=106920
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=202502
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=End-to-end time-dependent probabilistic assessment of landslide hazards using hybrid deep learning simulator
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Early warning detection of landslide hazards often requires real-time or near real-time predictions, which can be challenging due to the presence of multiple geo-uncertainties and time-variant external environmental loadings. The propagation of these uncertainties at the system level for understanding the spatiotemporal behavior of slopes often requires time-consuming numerical calculations, significantly hindering the establishment of an early warning system. This paper presents a hybrid deep learning simulator, which fuses parallel convolutional neural networks (CNNs) and long short-term memory (LSTM) networks through attention mechanisms, termed PCLA-Net, to facilitate time-dependent probabilistic assessment of landslide hazards. PCLA-Net features two novelties. First, it is capable of simultaneously handling both temporal and spatial information. CNNs specialize in interpreting spatial data, while LSTM excels in handling time-variant data. Coupled with two attention mechanisms, the two modules are combined to probabilistically predict the spatiotemporal behavior of slopes. Second, PCLA-Net realizes end-to-end predictions. In this paper, the Liangshuijing landslide in the Three Gorges Reservoir area of China is used to illustrate PCLA-Net. It is first validated followed by a comparison with existing techniques to demonstrate its improved predictive capabilities. The proposed PCLA-Net simulator can achieve the same level of accuracy with at least 50% reduction in computation resources.
en-copyright=
kn-copyright=

en-aut-name=HuangMenglu
en-aut-sei=Huang
en-aut-mei=Menglu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=NishimuraShin-ichi
en-aut-sei=Nishimura
en-aut-mei=Shin-ichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=ShibataToshifumi
en-aut-sei=Shibata
en-aut-mei=Toshifumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=WangZe Zhou
en-aut-sei=Wang
en-aut-mei=Ze Zhou
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

affil-num=1
en-affil=Department of Civil and Environmental Engineering, Okayama University
kn-affil=

affil-num=2
en-affil=Department of Civil and Environmental Engineering, Okayama University
kn-affil=

affil-num=3
en-affil=Department of Civil and Environmental Engineering, Okayama University
kn-affil=

affil-num=4
en-affil=Marie Sk?odowska-Curie Fellow, Department of Engineering, University of Cambridge
kn-affil=
en-keyword=Spatial variability
kn-keyword=Spatial variability
en-keyword=Time-dependent reliability
kn-keyword=Time-dependent reliability
en-keyword=Convolutional neural networks
kn-keyword=Convolutional neural networks
en-keyword=Long short-term memory networks
kn-keyword=Long short-term memory networks
en-keyword=Attention mechanisms
kn-keyword=Attention mechanisms
en-keyword=Landslide hazards
kn-keyword=Landslide hazards
END

start-ver=1.4
cd-journal=joma
no-vol=61
cd-vols=
no-issue=2
article-no=
start-page=271
end-page=282
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2021
dt-pub=202104
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Reliability-based design for earth-fill dams against severe natural disaster events
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=The maintenance of geotechnical structures, such as earth-fill dams, is required as a countermeasure against severe natural disasters, particularly earthquakes and heavy rains. The reliability-based analysis introduced here is in response to the recent demand for low-cost improvements.First, a statistical model of N values was determined from Swedish weight sounding (SWS) tests to present the spatial variability of the soil strength. Then, a reliability-based analysis of embankments was conducted by considering the variability of the internal friction angle derived from N value, and the seismic hazard for the Nankai Trough. The next step was to evaluate the probability of the overflow of earth-fills during heavy rains. The rainfall intensity was considered as a probabilistic parameter, and the various rainfall patterns were tested by the proposed method. Finally, the total risk due to both earthquakes and heavy rains was evaluated for an earth-fill site. As a result, the possibility for the practical use of the proposed method in making plans for the maintenance of deteriorated earth-fill dams was verified.
en-copyright=
kn-copyright=

en-aut-name=NishimuraShin-ichi
en-aut-sei=Nishimura
en-aut-mei=Shin-ichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=ShibataToshifumi
en-aut-sei=Shibata
en-aut-mei=Toshifumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=ShukuTakayuki
en-aut-sei=Shuku
en-aut-mei=Takayuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

affil-num=1
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=

affil-num=3
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=
en-keyword=risk evaluation
kn-keyword=risk evaluation
en-keyword=earth-fill dam
kn-keyword=earth-fill dam
en-keyword=damage probability
kn-keyword=damage probability
en-keyword=dam breaching
kn-keyword=dam breaching
en-keyword=spatial variability
kn-keyword=spatial variability
en-keyword=spatial variability
kn-keyword=spatial variability
en-keyword=natural disaster
kn-keyword=natural disaster
en-keyword=hazard curve
kn-keyword=hazard curve
en-keyword=fragility curve
kn-keyword=fragility curve
en-keyword=sounding test
kn-keyword=sounding test
END

start-ver=1.4
cd-journal=joma
no-vol=25
cd-vols=
no-issue=1
article-no=
start-page=1
end-page=4
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2020
dt-pub=202003
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=Efficient modelling of 3-d finite element mesh formation with use of 3-d topographic survey
kn-title=3次元計測を利用した効率的な3次元有限要素モデル化法の提案
en-subtitle=
kn-subtitle=
en-abstract=
kn-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.
en-copyright=
kn-copyright=

en-aut-name=KANESHIGEMinoru
en-aut-sei=KANESHIGE
en-aut-mei=Minoru
kn-aut-name=金重稔
kn-aut-sei=金重
kn-aut-mei=稔
aut-affil-num=1
ORCID=

en-aut-name=NISHIMURAShin-ichi
en-aut-sei=NISHIMURA
en-aut-mei=Shin-ichi
kn-aut-name=西村伸一
kn-aut-sei=西村
kn-aut-mei=伸一
aut-affil-num=2
ORCID=

en-aut-name=SHIBATAToshifumi
en-aut-sei=SHIBATA
en-aut-mei=Toshifumi
kn-aut-name=柴田俊文
kn-aut-sei=柴田
kn-aut-mei=俊文
aut-affil-num=3
ORCID=

en-aut-name=SHUKUTakayuki
en-aut-sei=SHUKU
en-aut-mei=Takayuki
kn-aut-name=珠玖隆行
kn-aut-sei=珠玖
kn-aut-mei=隆行
aut-affil-num=4
ORCID=

affil-num=1
en-affil=
kn-affil=岡山大学大学院環境生命科学研究科

affil-num=2
en-affil=
kn-affil=岡山大学大学院環境生命科学研究科

affil-num=3
en-affil=
kn-affil=岡山大学大学院環境生命科学研究科

affil-num=4
en-affil=
kn-affil=岡山大学大学院環境生命科学研究科
en-keyword=3-dimensional survey
kn-keyword=3-dimensional survey
en-keyword=UAV
kn-keyword=UAV
en-keyword=finite element mesh modelling
kn-keyword=finite element mesh modelling
END