Multi-factor safety staged prediction method for whole underground large-space construction process

Abstract

The invention discloses a multi-factor safety prediction method and system for a whole underground large-space construction process, and the method comprises the steps: constructing and training a pre-construction safety prediction neural network model, so as to enable the pre-construction safety prediction neural network model to form a nonlinear mapping relation from an input layer to an outputlayer; constructing and training a safety prediction neural network model in construction so as to form a nonlinear mapping relationship from an input layer to an output layer; and connecting the pre-construction safety prediction neural network model and the in-construction safety prediction neural network model in series to form a construction prediction series model, and performing staged safety prediction on the whole construction process by utilizing the construction prediction series model. According to the method, the construction safety prediction model is established based on the neural network with self-adaptability, nonlinearity and high fault tolerance, safety prediction can be performed on underground large-space construction before construction without depending on the internal working mechanism of a geotechnical system, real-time prediction is performed during construction, and a series model is formed to perform prediction on the whole construction process.

Description

technical field [0001] The invention relates to the technical field of civil engineering construction, in particular to a multi-factor safety prediction method and system for the whole process of underground large space construction. Background technique [0002] The practice of underground engineering shows that the geological environment, hydrological environment, surrounding building environment and the selection of construction methods will have an impact on the deformation, stress, strain, settlement, displacement, etc. during construction. In most cases, engineering and technical personnel can only By collecting monitoring data during construction to grasp the changes in deformation, stress, strain, settlement, displacement, etc., and then improve the construction method, it is impossible to have a rough prediction before construction, which is often due to insufficient improvement. Timely and cause the occurrence of various disasters, the occurrence of various constru...

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Problems solved by technology

However, due to the lack of understanding of the internal working mechanism of the geotechnical system, there must be great difficulties in establishing the corresponding theoretical calculation expressions, and the prediction and calculation of the safety interference factors of the geotechnical engineering system show very complex high-order nonlinearity characteristics, and the nonlinear calculation itself has a certain degree of difficulty

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