Evaluation and Calibration of Analytical Models for Predicting Splitting in Precast Concrete Tunnel Segments During TBM Thrust
Year: 2025
Type: article
Abstract: This study, conducted with a rigorous statistical analysis, aims to assess the applicability of current analytical models in predicting the likelihood of splitting in precast concrete tunnel segments during the thrust phase of tunnel boring. Five analytical models were analyzed and compared to experimental results. The accuracy and precision of the models in predicting the splitting load were evaluated. The study revealed that the prediction accuracy of the models can be affected by various factors, such as the size and geometry of the test specimens and the type of test configuration used. An adjustment to the analytical models with the best performance is proposed to correct for statistical bias and enhance the predictions to address this issue. These findings are significant for the construction industry, as improved cracking control can reduce repair costs. Furthermore, enhancing the predictability of analytical models can improve the safety and reliability of precast concrete tunnel segments during tunnel boring.
Source: Buildings
Institutions: Universidade de São Paulo, Universidade São Judas Tadeu
Language: English
Topic: Tunneling and Rock Mechanics
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,137
Awards: Multiscale modeling of plain and steel fiber reinforced concrete and its application to predicting the behavior of structural members, G2030696339, G2529429234, G4107124904, Effect of high temperatures on concrete produced with steel fibers subjected to surface treatment with nanosilica: pullout behavior, mechanical properties, and numerical simulation
OpenAlex ID: W4416764847