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Subway construction surface subsidence early warning method based on case-based reasoning and system dynamics

A system dynamics and surface subsidence technology, applied in the field of subway construction surface subsidence early warning based on case reasoning and system dynamics, can solve problems such as impact, difficulty meeting accuracy requirements, and error in prediction results.

Pending Publication Date: 2019-08-30
QINGDAO AGRI UNIV
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Problems solved by technology

The surface subsidence value is significantly affected by the nature of the stratum. The traditional calculation of surface subsidence is mostly based on the assumption of a continuum. For complex strata, there will be a large error in the prediction results, and the more complex the stratum conditions, the worse the reliability.
Although some studies have generalized the discontinuity of the formation, it is difficult to meet the accuracy requirements

Method used

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  • Subway construction surface subsidence early warning method based on case-based reasoning and system dynamics
  • Subway construction surface subsidence early warning method based on case-based reasoning and system dynamics
  • Subway construction surface subsidence early warning method based on case-based reasoning and system dynamics

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Embodiment Construction

[0033] The present invention will be described in detail below in combination with specific embodiments.

[0034] The technical scheme of the present invention is as figure 1 with figure 2 shown, including the following steps:

[0035] 1. Build a case base based on domain knowledge

[0036] In actual engineering, the premise of modeling and predicting surface settlement is to obtain the monitoring data during the tunnel advancement process, so as to obtain the fitting curve and back analysis parameters. It can be seen that if the assumptions about the distribution and properties of the internal structure of the stratum violate the reality, the results will be very different. In fact, urban geology in complex environments is often difficult to accurately describe, which inevitably leads to certain lags and limitations in safety control. . Case-based reasoning (CBR: Case-based reasoning) is a knowledge-based problem-solving and learning method that can use existing experien...

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Abstract

The invention discloses a subway construction surface subsidence early warning method based on case-based reasoning and system dynamics. According to the adopted technical scheme, the method comprisesthe steps of constructing a case library based on domain knowledge; performing similarity retrieval based on case reasoning; risk association mining of case-based reasoning and establishment of a system dynamics model are established; and establishing a risk early warning model of the surface subsidence. The method has the beneficial effects that the reliable risk decision basis is obtained by optimizing the search case library, and the effective prediction and early warning can be carried out on the subway construction ground surface settlement risk.

Description

technical field [0001] The invention belongs to the technical field of subway construction, and relates to a ground subsidence early warning method for subway construction based on case reasoning and system dynamics. Background technique [0002] Surface subsidence, as a disaster-causing factor that has attracted much attention in the process of subway construction, has caused frequent accidents such as road surface damage, tunnel collapse, building structure damage, and underground pipeline rupture in recent years. The surface subsidence value is significantly affected by the nature of the stratum. The traditional calculation of surface subsidence is mostly based on the assumption of a continuum. For complex strata, there will be large errors in the prediction results, and the more complex the stratum conditions, the worse the reliability. Although some studies have generalized the discontinuity of the formation, it is difficult to meet the accuracy requirements. In fact, ...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06Q10/06
CPCG06Q10/0635G06F30/20
Inventor 刘妍
Owner QINGDAO AGRI UNIV
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