Adaptive VMD and multi-stage stabilized transformer-based long-distance forecasting for multiple shield machine tunneling parameters
Achieving multivariate long-distance forecasting of shield machine tunneling parameters
remains a challenge due to the huge number of tunneling parameters and the complexity of …
remains a challenge due to the huge number of tunneling parameters and the complexity of …
Optimization of EPB shield performance with adaptive neuro-fuzzy inference system and genetic algorithm
The prediction of earth pressure balance (EPB) shield performance is an essential part of
project scheduling and cost estimation of tunneling projects. This paper establishes an …
project scheduling and cost estimation of tunneling projects. This paper establishes an …
Predicting TBM performance in soft sedimentary rocks, case study of Zagros mountains water tunnel projects
S Goodarzi, J Hassanpour, S Yagiz… - … and Underground Space …, 2021 - Elsevier
Soft rock formations are widespread throughout the mountainous regions of the world
including the mountains of western and southern Iran. Therefore, it is very common to pass …
including the mountains of western and southern Iran. Therefore, it is very common to pass …
Predictive control of slurry pressure balance in shield tunneling using diagonal recurrent neural network and evolved particle swarm optimization
X Li, G Gong - Automation in Construction, 2019 - Elsevier
Establishing the balance between slurry supporting pressure and expected water-earth
pressure is an important criterion to ensure excavating face stability in shield tunneling. To …
pressure is an important criterion to ensure excavating face stability in shield tunneling. To …
Prediction of TBM penetration rate based on Monte Carlo-BP neural network
M Wei, Z Wang, X Wang, J Peng, Y Song - Neural Computing and …, 2021 - Springer
Based on the BP neural network model of machine learning method, the corresponding
random input parameters are generated by Monte Carlo method, and the prediction of TBM …
random input parameters are generated by Monte Carlo method, and the prediction of TBM …
[PDF][PDF] Research progress on big data of tunnel boring machine: How data mining can help tunnel boring
With the application of micro-nano technology, the new generation of detonators based on
MEMS technology has become one of the research hot spots in the field of energetic …
MEMS technology has become one of the research hot spots in the field of energetic …
The influence of rock and rock mass properties towards prediction of TBM penetration rates
H Wannenmacher, R Fuentes Gutierrez, F Amann… - 2024 - publications.rwth-aachen.de
Kurzfassung Die Leistung von Tunnelbohrmaschinen (TBM) wird maßgeblich von den
Eigenschaften desabzubauenden Gesteins und Gebirges beeinflusst. In den letzten Jahren …
Eigenschaften desabzubauenden Gesteins und Gebirges beeinflusst. In den letzten Jahren …
Predicting tunnel-boring machine penetration rate utilizing geomechanical properties
SS Karrari, M Heidari, JK Hamidi… - Quarterly Journal of …, 2022 - lyellcollection.org
Predicting the penetration rate plays a key role in tunnel projects using a tunnel-boring
machine (TBM). Developing accurate prediction models can improve project management …
machine (TBM). Developing accurate prediction models can improve project management …
[PDF][PDF] Vortriebsbegleitende Anwendung von Prozesssimulationen im maschinellen Tunnelbau zur Aktualisierung der Leistungsprognose und Optimierung von …
A Jodehl - 2024 - d-nb.info
Diese Arbeit entstand im Rahmen der Mitarbeit im Sonderforschungsbereichs SFB 837 im
Teilprojekt C3. Den Kolleg* innen des SFB's möchte ich an dieser Stelle für die gute …
Teilprojekt C3. Den Kolleg* innen des SFB's möchte ich an dieser Stelle für die gute …