Tunnel Excavation Progress Simulation Method Considering Construction Abnormalities

Abstract

The invention discloses a tunnel excavation progress simulation method considering abnormal construction, which decomposes the tunnel excavation cycle into three working units of drilling, charging and blasting, and conducts statistical induction on the distribution form and parameter law of each working unit , using the Monte Carlo simulation method to independently sample the three work units of the same excavation cycle and then perform coupled calculations, a more accurate schedule simulation model than the traditional simulation model was established. Examples prove that the present invention can better describe the impact of abnormal construction events on progress, and has simpler algorithms and better robustness than traditional progress simulation methods, providing a scientific basis for tunnel excavation progress simulation.

Description

technical field [0001] The invention relates to the technical field of water conservancy and hydropower construction progress simulation technology, in particular to a tunnel excavation progress simulation method considering abnormal construction. Background technique [0002] There are many procedures for tunnel excavation, and its construction progress is greatly affected by uncertain factors such as environmental factors, personnel and equipment, and process interference. For example, factors such as geology and environment have spatial variability, ventilation, personnel input, equipment failure, and process interference. and other factors have time variability. Contractors often make estimates based on the enterprise experience base when preparing schedules, but due to various factors, the actual schedule often deviates greatly from the planned schedule. [0003] Scholars have proposed many improved methods. For example, Ge Zhenming [1] used the comprehensive expectati...

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Problems solved by technology

However, the actual construction process is extremely unstable, and the duration of some abnormalities has a strong time-domain discreteness. Although the frequency of occurrence is low, it has a great impact on the overall progress and cannot be ignored. Construction abnormalities are not distinguished and calculated without statistical testing. Distribution parameters are not suitable for schedule simulation, and it is necessary to conduct special research on the characteristics of abnormal construction parameters

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