Parametric geological model update and probabilistic analysis of shield tunnel excavation: A borehole-based conditional random fields approach
| Autorzy | Xie P.; Chen K.; Skibniewski M.; Wang J.; Luo H. |
|---|---|
| Tytuł | Parametric geological model update and probabilistic analysis of shield tunnel excavation: A borehole-based conditional random fields approach |
| Czasopismo | Computers and Geotechnics |
| Rok | 2023 |
| Status | Published |
| Tom | 157 |
| DOI | DOI: 10.1016/j.compgeo.2023.105349 |
| Abstrakt | <p>Shield tunnel construction has faced considerable challenges due to the uncertain geological conditions in real scenarios. The borehole data obtained from geological investigations are often too limited to effectively evaluate uncertainties at nonsampled points. Moreover, the existing <a href="https://www.sciencedirect.com/topics/engineering/probabilistic-safety-assessment" title="Learn more about probabilistic safety assessment from ScienceDirect's AI-generated Topic Pages">probabilistic safety assessment</a> (PSA) frameworks that consider the uncertainties of soil properties have encountered limitations in engineering practice due to the complexity of <a href="https://www.sciencedirect.com/topics/computer-science/conditional-random-field" title="Learn more about conditional random field from ScienceDirect's AI-generated Topic Pages">conditional random field</a> (CRF) theory and the operability of <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/numerical-modeling" title="Learn more about numerical modeling from ScienceDirect's AI-generated Topic Pages">numerical modeling</a>. Based on the digitization of the underground infrastructure, this study implements the object-oriented <a href="https://www.sciencedirect.com/topics/engineering/parametric-modeling" title="Learn more about parametric modeling from ScienceDirect's AI-generated Topic Pages">parametric modeling</a> (PM) to address these limitations. A PM-CRF engine is first developed to automate the process of parametric <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/geological-modeling" title="Learn more about geological modeling from ScienceDirect's AI-generated Topic Pages">geological modeling</a> using CRFs. Then, a PM-CRF-PSA interoperability framework is proposed to automatically generate a PSA model for comprehensive safety assessment considering the uncertainties of soil properties. Finally, a case study is conducted with the proposed framework to assess the whole process of parametric modeling from CRF characterization to PSA. The results of this study highlight the clear advantages of this framework compared to traditional deterministic safety assessment (DSA) methods in terms of characterization of the uncertainty of soil properties and the efficiency of PSA modeling. Thus, the proposed framework enables the efficient and comprehensive exploration of shield <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/tunnel-design" title="Learn more about tunnel design from ScienceDirect's AI-generated Topic Pages">tunnel design</a> schemes by considering the uncertainties of soil properties.</p> |