Analysis of Overpass Displacements Due to Subway Construction Land Subsidence Using Machine Learning

Abstract

Modern cities are full of complex and substantial engineering structures that differ by their geometry, sizes, operating conditions, and technologies used in their construction. During the engineering structures’ life cycle, they experience the effects of construction, environmental, and functional loads. Among those structures are bridges and road overpasses. The primary reason for these structures’ displacements is land subsidence. The paper addresses a particular case of geospatial monitoring of a road overpass that is affected by external loads invoked by the construction of a new subway line. The study examines the methods of machine learning data analysis and prediction for geospatial monitoring data. The monitoring data were gathered in automatic mode using a robotic total station with a frequency of 30 min, and were averaged daily. Regression analysis and neural network regression with machine learning have been tested on geospatial monitoring data. Apart from the determined spatial displacements, additional parameters were used. These parameters were the position of the tunnel boring machines, precipitation level, temperature variation, and subsidence coefficient. The primary output of the study is a set of prediction models for displacements of the overpass, and the developed recommendations for correctly choosing the prediction model and a set of parameters and hyperparameters. The suggested models and recommendations should be considered an indispensable part of geotechnical monitoring for modern cities.

Justification of geodetic monitoring methodology of the retaining walls on the example of the embankment in Kremenchuk

“…One of the defining parameters of geodetic monitoring is the periodicity of observations, which does not depend on the total duration of observations but may differ for different stages of the life cycle of a building or structure. Studies on deformations of buildings and structures for scientific purposes are carried out monthly [14], weekly [15], once or twice a quarter (during construction), once or twice a year (during operation) [2], every three months during the change of seasons [16] or with other periodicity depending on the existing conditions and monitoring tasks.…”

“…Usually, observations are completed when the values of displacements in the last three cycles do not exceed the accuracy of measurements [16]. The obtained data are compared with the maximum permissible values, taking into account the provisions of regulatory documents (for hydraulic structures [17,18]).…”