Work

Reliability Analysis on Structural System of Reinforced Concrete Underground Silo Based on LHS-RSM

Year: 2025

Type: article

Abstract: The RC underground silo, a novel grain storage structure, is a cylindrical shell surrounded by rock, soil, and groundwater. It leverages the low-temperature underground setting to preserve grain quality. However, the complex underground geotechnical environment may negatively affect the silo’s reliability, and limited information is available about the reliability of the reinforced concrete underground silo. The current research developed a structural system reliability analysis method based on LHS, the RSM, and EEVET, namely the LHS-RSM, for structural reliability analysis. Performance functions were established and controlled by concrete strength and component deformation on the components of the RC underground silos. The limit state function of the whole RC underground silo system was developed based on the EEVET. Combined with the PDS method in the FE program ANSYS 15.0, the random FE analysis of the RC underground silo based on the LHS-RSM was achieved, and the failure probabilities and corresponding reliability indices were evaluated for both individual components and the overall structural system. The research results show that when the silo is treated as a series system, its failure probability exceeds the values calculated for any single failure mode. Therefore, if only the component failure modes are considered, the reliability of RC underground silos will be overestimated, which proves the necessity of conducting a system reliability analysis on RC underground silos. Under the action of underground soil and groundwater, the calculated reliability index of the structural system of the RC underground silo is 3.40, indicating that the entire series structural system meets the requirements of current design codes. The reliability of this novel underground grain storage structure is satisfactory. The findings offer valuable insights for designing and constructing RC underground silos.

Source: Buildings

DOI: 10.3390/buildings15244498

Authors: Guixiang Chen, Hao Zhang, Chenxing Cui, Chaosai Liu, Boyi Zhao

Institution: Henan University of Technology

Language: English

Topic: Probabilistic and Robust Engineering Design

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $3,137