Prestressed Anchor Cable Support Effectiveness in Super-large Deep Foundation Pits
摘要
To ensure construction safety during large-scale foundation pit slope reinforcement, the optimal inclination angle of anchor cables is theoretically derived from both technical and economic perspectives. A method for selecting this optimal angle to meet practical engineering requirements is proposed. Additionally, a utility analysis method for prestressed anchor cable support structures is introduced to enhance long-term slope stability. The theoretically obtained optimal inclination angle balances economic efficiency with technical feasibility, thereby improving the overall structural integrity of the slope support. Multi-cycle loading tests were conducted, revealing an anchor head displacement of 10.21 mm at the peak load of 339.7 kN, with a maximum rebound of 4.34 mm. Acceptance tests employing single-cycle loading showed that under progressively increasing loads, anchor cable displacements increased significantly, exceeding 80% of the theoretical free-section elongation. During initial excavation stages, crown beam displacements were considerable yet exhibited minor fluctuations, with a maximum value of 14.1 mm. The overall horizontal displacement trend stabilized, and settlements of adjacent roads and utilities remained well below alarm thresholds. Using an elastoplastic soil model and the Mohr–Coulomb failure criterion, numerical simulations captured displacement variations across the excavation relaxation, deformation, and attenuation zones. The maximum axial force in the top-row anchor cables occurs at the anchor head and decreases progressively along the cable length. The stress state in lower-row cables during tensioning resembles that in the upper rows, confirming effective anchorage performance for each cable row. Pile horizontal displacement initially increased and then decreased during excavation stages, peaking 6.5–7.5 m below the pile head in a typical bulging pattern. Vertical displacement increments decreased nearly linearly with depth. Correlation with field-measured pile displacement time histories further validated the model’s rationality and accuracy. By integrating multi-scale random field modeling and real-time feedback mechanisms, a shift from passive support to active prediction has been achieved.