Open AccessCalibration of Ground Pressure on Tunnel Lining in Genetic Algorithm Application for Structural Monitoring
Author(s) -
Giuseppe Cortese,
Gabriele Bertagnoli
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/960/2/022096
Subject(s) - correctness , genetic algorithm , set (abstract data type) , calibration , algorithm , convergence (economics) , work (physics) , geotechnical engineering , computer science , engineering , mathematics , mechanical engineering , machine learning , statistics , economics , programming language , economic growth
This article presents the evolution of an algorithm that can be applied to a diagnostic systems for tunnels developed by the same authors. The aim of this work is the analysis of typical ground trust shape functions to be introduced in the library of a genetic algorithm in order to calculate the forces acting on tunnel lining starting only from the quantities measured by a set of clinometers and pressure sensors placed inside the lining itself, without any other knowledge of geotechnical or geological parameters. The knowledge of proper trust shapes, derived from geotechnical simulations, increases the performance of the algorithm in terms of convergence and correctness of the result. Some benchmarks of the genetic algorithm applied on geotechnical f.e.m. results is also given.