[HTML][HTML] Prediction of landslide displacement with dynamic features using intelligent approaches

Y Zhang, J Tang, Y Cheng, L Huang, F Guo… - International Journal of …, 2022 - Elsevier
Landslide displacement prediction can enhance the efficacy of landslide monitoring system,
and the prediction of the periodic displacement is particularly challenging. In the previous …

[HTML][HTML] Towards system-theoretic risk assessment for future ships: A framework for selecting Risk Control Options

M Chaal, A Bahootoroody, S Basnet, OAV Banda… - Ocean …, 2022 - Elsevier
While the concept of smart shipping is expected to shape the future of the maritime industry,
its safety is still a major concern. New risks might emerge when shifting from human …

[HTML][HTML] A novel Bayesian network approach for predicting soil-structure interactions induced by deep excavations

SC Jong, DEL Ong - Tunnelling and Underground Space Technology, 2024 - Elsevier
The demand for deep excavations to construct underground infrastructure has been growing
in metropolitan cities due to rapid urban development and limited land space. In this original …

[HTML][HTML] A multinomial process tree for reliability assessment of machinery in autonomous ships

MM Abaei, R Hekkenberg, A BahooToroody - Reliability Engineering & …, 2021 - Elsevier
Abstract Maritime Autonomous Surface Ships have received a significant amount of attention
in recent projects. They promise a reduction in marine accidents and mitigation of human …

Assessment of physical vulnerability and uncertainties for debris flow hazard: a review concerning climate change

MA Khan, Z Mustaffa, ISH Harahap, MB Ibrahim… - Land, 2022 - mdpi.com
Global climate change has increased severe torrential hazards, particularly debris flows in
mountainous regions. After floods and earthquakes, debris flows are the most devastating …

[HTML][HTML] On reliability assessment of ship machinery system in different autonomy degree; A Bayesian-based approach

A BahooToroody, MM Abaei, OV Banda, J Montewka… - Ocean …, 2022 - Elsevier
Analyzing the reliability of autonomous ships has recently attracted attention mainly due to
epistemic uncertainty (lack of knowledge) integrated with automatic operations in the …

[HTML][HTML] Risk analysis methodology using STPA-based Bayesian network-applied to remote pilotage operation

S Basnet, A BahooToroody, M Chaal, J Lahtinen… - Ocean …, 2023 - Elsevier
The maritime industry is currently ongoing into a digital transformation to develop cleaner,
safer and smarter transport services. Establishing such services requires identifying and …

Seismic safety evaluation of slope with spatially variable soils based on collaborative analysis via optimized subset simulation

D Zhu, R Pang, M Xu, J Chen, B Xu - Computers and Geotechnics, 2024 - Elsevier
The results of slope seismic safety evaluation are affected by the uncertainty of geotechnical
material parameters, seismic dynamic characteristics, safety evaluation indexes and other …

Prediction models of Newmark sliding displacement of slopes using deep neural network and mixed-effect regression

Y Cheng, J Wang, Y He - Computers and Geotechnics, 2023 - Elsevier
For assessing the seismic stability of slopes, the Newmark sliding displacement is an
essential consideration. This study develops a deep neural network (DNN) prediction model …

Reliability estimation of reinforced slopes to prioritize maintenance actions

F BahooToroody, S Khalaj, L Leoni, F De Carlo… - International Journal of …, 2021 - mdpi.com
Geosynthetics are extensively utilized to improve the stability of geotechnical structures and
slopes in urban areas. Among all existing geosynthetics, geotextiles are widely used to …