Investigation on the phenomena and influence factors of urban ground collapse in China DOI
Xuwei Wang, Ye‐Shuang Xu

Natural Hazards, Journal Year: 2022, Volume and Issue: 113(1), P. 1 - 33

Published: March 24, 2022

Language: Английский

Inundation risk assessment of metro system using AHP and TFN-AHP in Shenzhen DOI
Hai‐Min Lyu, Wan‐Huan Zhou, Shui‐Long Shen

et al.

Sustainable Cities and Society, Journal Year: 2020, Volume and Issue: 56, P. 102103 - 102103

Published: Feb. 19, 2020

Language: Английский

Citations

296
Land subsidence: A global challenge DOI
Mehdi Bagheri‐Gavkosh, Seiyed Mossa Hosseini, Behzad Ataie‐Ashtiani

et al.

The Science of The Total Environment, Journal Year: 2021, Volume and Issue: 778, P. 146193 - 146193

Published: March 8, 2021

Language: Английский

Citations

211
Risk assessment and management of excavation system based on fuzzy set theory and machine learning methods DOI
Song-Shun Lin, Shui‐Long Shen, Annan Zhou

et al.

Automation in Construction, Journal Year: 2020, Volume and Issue: 122, P. 103490 - 103490

Published: Dec. 28, 2020

Language: Английский

Citations

195
Prediction of Disc Cutter Life During Shield Tunneling with AI via the Incorporation of a Genetic Algorithm into a GMDH-Type Neural Network DOI Creative Commons
Khalid Elbaz, Shui‐Long Shen, Annan Zhou

et al.

Engineering, Journal Year: 2020, Volume and Issue: 7(2), P. 238 - 251

Published: Sept. 2, 2020

Disc cutter consumption is a critical problem that influences work performance during shield tunneling processes and directly affects the change decision. This study proposes new model to estimate disc life (Hf) by integrating group method of data handling (GMDH)-type neural network (NN) with genetic algorithm (GA). The efficiency effectiveness GMDH structure are optimized GA, which enables each neuron search for its optimum connections set from previous layer. With proposed model, monitoring including database, consumption, geological conditions, operational parameters can be analyzed. To verify case in China presented database adopted illustrate excellence hybrid model. results indicate predicts high accuracy. sensitivity analysis reveals penetration rate (PR) has significant influence on life. this beneficial both planning construction stages tunneling.

Language: Английский

Citations

193
Three-dimensional numerical modelling on localised leakage in segmental lining of shield tunnels DOI
Huai-Na Wu, Shui‐Long Shen, Renpeng Chen

et al.

Computers and Geotechnics, Journal Year: 2020, Volume and Issue: 122, P. 103549 - 103549

Published: March 31, 2020

Language: Английский

Citations

179
Inundation risk assessment based on G-DEMATEL-AHP and its application to Zhengzhou flooding disaster DOI
Qian Zheng, Shui‐Long Shen, Annan Zhou

et al.

Sustainable Cities and Society, Journal Year: 2022, Volume and Issue: 86, P. 104138 - 104138

Published: Aug. 22, 2022

Language: Английский

Citations

132
Prevention/mitigation of natural disasters in urban areas DOI Creative Commons

Jinchun Chai,

Haoze Wu

Smart Construction and Sustainable Cities, Journal Year: 2023, Volume and Issue: 1(1)

Published: Aug. 9, 2023

Abstract Preventing/mitigating natural disasters in urban areas can indirectly be part of the 17 sustainable economic and social development intentions according to United Nations 2015. Four types disasters—flooding, heavy rain-induced slope failures/landslides; earthquakes causing structure failure/collapse, land subsidence—are briefly considered this article. With increased frequency climate change-induced extreme weathers, numbers flooding failures/landslides has recent years. There are both engineering methods prevent their occurrence, more effectively early prediction warning systems mitigate resulting damage. However, still cannot predicted an extent that is sufficient avoid damage, developing adopting structures resilient against earthquakes, is, featuring earthquake resistance, vibration damping, seismic isolation, essential tasks for city development. Land subsidence results from human activity, mainly due excessive pumping groundwater, which a “natural” disaster caused by activity. Countermeasures include effective regional and/or national freshwater management local water recycling groundwater. Finally, perspectives risk hazard prevention through enhanced field monitoring, assessment with multi-criteria decision-making (MCDM), artificial intelligence (AI) technology.

Language: Английский

Citations

45
MCDM-based flood risk assessment of metro systems in smart city development: A review DOI
Hai‐Min Lyu, Zhen‐Yu Yin, Annan Zhou

et al.

Environmental Impact Assessment Review, Journal Year: 2023, Volume and Issue: 101, P. 107154 - 107154

Published: May 19, 2023

Language: Английский

Citations

44
Flood risk evaluation of the coastal city by the EWM-TOPSIS and machine learning hybrid method DOI
Ziyuan Luo, Jian Tian, Jian Zeng

et al.

International Journal of Disaster Risk Reduction, Journal Year: 2024, Volume and Issue: 106, P. 104435 - 104435

Published: March 28, 2024

Language: Английский

Citations

19
Dynamic prediction of jet grouted column diameter in soft soil using Bi-LSTM deep learning DOI
Shui‐Long Shen, Pierre Guy Atangana Njock, Annan Zhou

et al.

Acta Geotechnica, Journal Year: 2020, Volume and Issue: 16(1), P. 303 - 315

Published: July 2, 2020

Language: Английский

Citations

134