A foundation pit deformation space-time evolution prediction and support parameter reverse optimization system and method

By constructing a prior random field and Bayesian compressed sensing inversion, combined with a deep Gaussian process and covariance matrix adaptive evolution strategy, the foundation pit support parameters were optimized, solving the problem of uncontrollable deformation exceeding probability in complex strata and achieving improvements in safety and adaptability.

CN122154049BActive Publication Date: 2026-07-24NANCHANG TRANSPORTATION COLLEGE
View PDF 0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NANCHANG TRANSPORTATION COLLEGE
Filing Date
2026-05-09
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing technologies cannot quantify the impact of geological uncertainties on the deformation response of foundation pits under complex geological conditions with significant spatial variability in soil and rock parameters, resulting in an uncontrollable probability of deformation exceeding limits in actual construction when the combination of support parameters is combined.

Method used

By collecting sparse borehole geotechnical parameters and continuous in-situ test data, a prior random field is constructed. Bayesian compressed sensing is used for sparse observation inversion to generate a posterior probability distribution. A nonlinear mapping function is constructed using a deep Gaussian process, and an adaptive evolution strategy based on the covariance matrix is ​​used for inverse search to optimize the support parameters.

Benefits of technology

It effectively characterizes the spatial variability of soil parameters, quantifies geological uncertainties, and the optimized combination of support parameters can meet the deformation control threshold with a high probability under abnormal geological conditions, thereby improving the safety and adaptability of foundation pit engineering and shortening the design cycle.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122154049B_ABST
    Figure CN122154049B_ABST
Patent Text Reader

Abstract

The application relates to the technical field of geotechnical engineering and foundation pit supporting design, and particularly discloses a system and method for predicting spatiotemporal evolution of foundation pit deformation and reversely optimizing supporting parameters, which comprises the following steps: collecting sparse borehole geotechnical parameters and in-situ test data to construct a prior random field; adopting Bayesian compressed sensing to invert parameter space full-grid mean values and covariance matrices under posterior probability distribution; generating multiple groups of random fields to realize and input finite element simulation, forming a training sample set of parameter distribution and deformation field; constructing a deep Gaussian process nonlinear mapping and quantifying prediction variance; and reversely searching supporting parameter combinations by taking deformation control threshold and allowable overrun probability as constraints. The application can quantitatively influence the variability of geological parameter space, and obtain a robust supporting scheme meeting overrun probability requirements.
Need to check novelty before this filing date? Find Prior Art