Abstract
TBM cutterhead driving system is generally an extraordinarily large and complex machine containing lots of parameters; understanding and assessment of its dynamic characteristics are a great challenge as each of these parameters has uncertainty. In this work, a hierarchical modeling method for the dynamic model of the complex gear transmission system is proposed based on the generalized finite element modeling idea. On this basis, the whole machine dynamic model of cutterhead driving system is established; both the characteristics of vibration responses and the meshing force are revealed. Vibration responses under the action of simulated load are estimated and verified by comparing with the data measured on the tunneling field, where the error is about 18%~50%. With the vibration response of the key nodes and the dynamic meshing force for the system dynamic characteristic evaluation index, considering the change of input parameters such as external loads, material parameters, meshing parameters, and coupling parameters, the global parameter sensitivity of system dynamic characteristics is analyzed based on the technology of surrogate model. Finally, variation of dynamic characteristics considering the interaction of polytypic parameters is obtained.
Highlights
A tunnel boring machine (TBM) is a typical complex and major equipment, which has been widely used in excavation of tunnels under the subsoil all over the world
A hierarchical dynamic model of the complex gear transmission system is proposed based on the generalized finite element modeling idea
A procedure based on the combination of metamodels with global sensitivity analysis is proposed to study the importance ranking of the different sources of uncertainty during operation
Summary
A tunnel boring machine (TBM) is a typical complex and major equipment, which has been widely used in excavation of tunnels under the subsoil all over the world. Despite the external factors such as the human misoperation, the dynamic performance of TBM as well as the geologic condition can be identified as the main causative factor influencing the safe and efficient excavation of tunnels. As TBM is an extraordinarily large and complex machine consisting of many subsystems and lots of components, experimental analysis of a full machine or even one of the main subsystems/components under real condition is generally not practicable, which results in a lack of understanding and assessment of its realistic performance and the further design optimization. Swoboda et al adopted Finite Element Analysis (FEA) to investigate TBM tunneling in saturated porous medium. They found that the realistic modeling of soil behavior can be assessed [5]. It is inadequate to investigate a TBM with a deterministic method, and a method to deal with these uncertainties involved and to identify and rank the most important varied and/or uncertain parameters is necessary for better understanding and further optimization of a TBM
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
