Study on city digital twin technologies for sustainable smart city design: A review and bibliometric analysis of geographic information system and building information …

H Xia, Z Liu, M Efremochkina, X Liu, C Lin - Sustainable Cities and Society, 2022 - Elsevier
Geographic information system (GIS) data provide geospatial data on cities and spatial
analysis functions that are essential for urban design. Building information modeling (BIM) …

Digital twin and its implementations in the civil engineering sector

F Jiang, L Ma, T Broyd, K Chen - Automation in Construction, 2021 - Elsevier
Digital Twin (DT) concept has recently emerged in civil engineering; however, some
problems still need to be addressed. First, DT can be easily confused with Building …

Land subsidence: A global challenge

M Bagheri-Gavkosh, SM Hosseini… - Science of The Total …, 2021 - Elsevier
This study presents a comprehensive review of the Land subsidence (LS) cases, as a
worldwide environmental, geological, and global geohazard concern. Here, 290 case …

Inundation risk assessment of metro system using AHP and TFN-AHP in Shenzhen

HM Lyu, WH Zhou, SL Shen, AN Zhou - Sustainable Cities and Society, 2020 - Elsevier
Metro system is a vital transportation infrastructure, which has been inundated frequently
during flood season (from May to September) in Shenzhen, China. This study incorporates …

[HTML][HTML] Prediction of disc cutter life during shield tunneling with AI via the incorporation of a genetic algorithm into a GMDH-type neural network

K Elbaz, SL Shen, A Zhou, ZY Yin, HM Lyu - Engineering, 2021 - Elsevier
Disc cutter consumption is a critical problem that influences work performance during shield
tunneling processes and directly affects the cutter change decision. This study proposes a …

Risk assessment of mega-city infrastructures related to land subsidence using improved trapezoidal FAHP

HM Lyu, SL Shen, A Zhou, J Yang - Science of the Total Environment, 2020 - Elsevier
This study presents an improved trapezoidal fuzzy analytic hierarchy process (FAHP) to
assess the risk of mega-city infrastructures related to land subsidence. The trapezoidal fuzzy …

Developing GEP tree-based, neuro-swarm, and whale optimization models for evaluation of bearing capacity of concrete-filled steel tube columns

P Sarir, J Chen, PG Asteris, DJ Armaghani… - Engineering with …, 2021 - Springer
The type of materials used in designing and constructing structures significantly affects the
way the structures behave. The performance of concrete and steel, which are used as a …

District based flood risk assessment in Istanbul using fuzzy analytical hierarchy process

Ö Ekmekcioğlu, K Koc, M Özger - Stochastic Environmental Research and …, 2021 - Springer
Floods, among the most frequent and severe hazards in the world, threaten the sustainability
of the built environment by causing immense damage to infrastructures, buildings …

Evolutionary hybrid neural network approach to predict shield tunneling-induced ground settlements

K Zhang, HM Lyu, SL Shen, A Zhou, ZY Yin - Tunnelling and Underground …, 2020 - Elsevier
This study proposes an artificial intelligence approach to predict ground settlement during
shield tunneling via considering the interactions among multi-factors, eg, geological …

[HTML][HTML] UAVs in disaster management: Application of integrated aerial imagery and convolutional neural network for flood detection

HS Munawar, F Ullah, S Qayyum, SI Khan, M Mojtahedi - Sustainability, 2021 - mdpi.com
Floods have been a major cause of destruction, instigating fatalities and massive damage to
the infrastructure and overall economy of the affected country. Flood-related devastation …