Application study of the room-and-pillar mining method with post-mining backfill for gently dipping, thin orebodies at the Chengcheng Mine
Lichao Luo
Key words: Mathews stability graph method; Pakalnis empirical method; random forest-differential evolution; mix-design optimization; underground backfill station
Addressing the technical challenge of coordinating safety and efficiency in the mining of gently dipping, thin orebodies, this study—using the Chengcheng Mine as the engineering context—conducts an end-to-end investigation covering mining-method selection, stope structural design, stoping process planning, backfill system construction, and mix-design optimization. By introducing a time- dependent stability coefficient and revising the hydraulic-radius calculation model for point-pillar stopes, we extend the classical Mathews stability graph method to enable safe stope-parameter design. The required backfill strength and thickness are determined using the Pakalnis empirical analogy method. Aggregate gradation measurements and backfill mix tests are performed to build a random forest (RF) strength-prediction model, which quantifies the significance of aggregate gradation, slurry concentration, and cement content on backfill strength. Furthermore, a random fores-differential evolution (RF-DE) coupled inversion model is established to achieve intelligent search of mix designs that meet target strengths. Engineering practice demonstrates that the proposed workflow effectively resolves the key issues of safe and efficient extraction for the gently dipping thin orebody at this mine: stope production capacity reaches 150 t/d, ore loss and dilution are controlled within 12% and 10%, respectively, and China′s first underground backfill mixing station has been constructed—providing technical support and practical experience for economically viable development under similar geological conditions.