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LIU Yanhua. Optimization algorithm for calibration of elastic membrane binding force and instrument comprehensive deformation based on Python[J]. GEOTECHNICAL ENGINEERING TECHNIQUE, 2026, 40(4): 481-487. doi: 10.20265/j.cnki.issn.1007-2993.2025-0157
Citation: LIU Yanhua. Optimization algorithm for calibration of elastic membrane binding force and instrument comprehensive deformation based on Python[J]. GEOTECHNICAL ENGINEERING TECHNIQUE, 2026, 40(4): 481-487. doi: 10.20265/j.cnki.issn.1007-2993.2025-0157
shu

Optimization algorithm for calibration of elastic membrane binding force and instrument comprehensive deformation based on Python

doi: 10.20265/j.cnki.issn.1007-2993.2025-0157

  • Jiangsu Province Hydrogeological and Engineering Geological Survey Brigade, Huai’an 223005, Jiangsu, China

  • Received Date: 2025-04-08
  • Accepted Date: 2025-11-11
  • Rev Recd Date: 2025-07-21
  • Publish Date: 2026-08-08
    Abstract
  • Pressuremeter test is an important in-situ testing method in geotechnical engineering investigation, while the two calibration tests of elastic membrane binding force and instrument comprehensive deformation are very important. However, traditional calibration methods rely on manual operations and use inaccurate empirical models, which have many limitations. Based on Python, this study optimizes the calibration algorithms for the two tests of pressuremeter test, constructing a linear least squares model for instrument comprehensive deformation calibration and a nonlinear cubic polynomial least squares model for elastic membrane binding force calibration. The analysis shows that the slope calculation of the instrument comprehensive deformation calibration model is reasonable, with uniformly distributed residuals; the cubic polynomial model has an excellent fitting effect on elastic membrane binding force calibration, and regularization is introduced to mitigate overfitting. The research indicates that Python has obvious advantages in pressuremeter test data processing, and the accuracy of pressuremeter test results can be improved using the optimized algorithms.

     

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