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Computational modeling demonstrates an integrated data-processing framework for earth dams on permeable foundations, highlighting enhanced defect diagnosis and safety prediction.
This study focuses on the development and systematization of a comprehensive mathematical model for processing engineering survey data obtained during the inspection of hydraulic structures. The objective of the study is to develop a comprehensive mathematical model and algorithm for processing engineering survey data to ensure highly accurate assessment and prediction of the strength and stability of hydraulic structures (in particular, earth dams on permeable foundations) during their operation. The paper proposes a multivariate analysis algorithm that combines the results of field measurements, laboratory soil tests, and instrumentation data into a single calculation system. The mathematical interpretation of the model is based on the combined solution of the equations of filtration, consolidation, and stress-strain state of structures using the finite element method. Particular emphasis is placed on assessing the stability of earth dams located on permeable foundations. The model takes into account the influence of pore pressure and hydrodynamic forces on the safety factor and the integral index I. Implementation of this model allows not only for the diagnosis of current defects, such as soil suffusion or ineffective drainage systems, but also for the prediction of the structure’s remaining service life. The developed safety criteria allow for the rapid classification of the structure’s condition from operational to emergency, minimizing the risk of emergency situations
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Качаев et al. (2026) studied this question.
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