A Machine Learning Approach to Predicting and Maximizing Penetration Rates in Earth Pressure Balance Tunnel Boring Machines
نویسنده
چکیده
Modern tunneling projects will often rely on a Tunnel Boring Machines (TBMs) rather than traditional drill and blast (D&B) methods, because of TBMs’ increased tunneling efficiency[1]. TBMs have a circular drill at the front, which can range in diameter from 1 meter to 19.25 meters, depending on the desired use for the completed tunnel. Applications of tunnels dug by TBMs range from underground water and sewer conduits to subway lines and double-decker, 3-lane wide highways. Most TBM contractors monitor the performance of their TBMs with sensors that send data back to a central data collection system. 200-400 sensor readings are collected every 10 seconds on tunneling projects that can last over a year [2].
منابع مشابه
RAM analysis of earth pressure balance tunnel boring machines: A case study
Earth pressure balance tunnel boring machines (EPB-TBMs) are favorably applied in urban tunneling projects. Despite their numerous advantages, considerable delays and high maintenance cost are the main disadvantages these machines suffer from. Reliability, availability, and maintainability (RAM) analysis is a practical technique that uses failure and repair dataset obtained over a reasonable ti...
متن کاملSimulation of tunnel boring machine utilization: A case study
Utilization is one of the main managerial factors that is applied for construction process analysis well. It directly affects the project duration and construction costs. Therefore, a utilization study in tunneling projects is essential. In this work, the utilization of an earth pressure balance Tunnel Boring Machine (TBM) in Tabriz urban railway project was studied using the Monte Carlo simula...
متن کاملEstimation of penetration rate of tunnel boring machines using Monte-Carlo simulation method
One of the most important parameters used for determining the performance of tunnel boring machines (TBMs) is their penetration rate. The parameters affecting the penetration rate can be divided in two categories. The first category is the controllable parameters such as the TBM technical characteristics, and type and geometry of the tunnel, and the second one is the uncontrollable parameters s...
متن کاملTUNNEL BORING MACHINE PENETRATION RATE PREDICTION BASED ON RELEVANCE VECTOR REGRESSION
key factor in the successful application of a tunnel boring machine (TBM) in tunneling is the ability to develop accurate penetration rate estimates for determining project schedule and costs. Thus establishing a relationship between rock properties and TBM penetration rate can be very helpful in estimation of this vital parameter. However, this parameter cannot be simply predicted since there ...
متن کاملNumerical modeling of tunneling induced ground deformation and its control
Tunnelling through cities underlain by soft soil, commonly associated with soil movement around the tunnels and subsequent surface settlement. The predication of ground movement during the tunnelling and optimum support pressure could be based on analytical, empirical or the numerical methods. The commonly used Earth pressure balance (EPB) tunneling machines, uses the excavated soil in a pressu...
متن کامل