On April 14, the project complemented by IRSM passes science and technology achievement appraisal. The topic of the project is Dynamic Intelligent Optimization Design Method and Engineering Application of High Slope. The appraisal is organized by Science and Technology Department of Hubei Province, and the appraisal committee consists of 7 experts including Academician QING Shunquan from China Railway Group Limited.

The project focuses on research on dynamic intelligent optimization design methods and engineering application of high slope, it develops large scale physical model testing system and geomechanics magnetic model of high slope unstable failure under the effect of rain and reservoir water. Researchers put forward slope deformation failure centrifugal model testing method considering dry-wet cycle, and centrifugal model testing method of slope anti-slide pile reinforcement mechanism in the condition of water level change. The project reveals reinforce mechanism of high slope unstable evolving process under the effect of multi-factors including rain, water level change and dry-wet cycle. Researchers build slope stability analysis model based on first order second moment and support vector machine, and put forward slope analysis method using Mont Carlo and particle swarm-support vector machine algorithm. The project also put forward dynamic intelligent optimization design theory and method of high slope protection and anti-sliding in deep layer, including support vector machine recognition method of rock and soil mass and slip surface mechanical parameters in certain and uncertain condition; structure optimization design method of high slope protective bolt considering interaction of foundation and beam; maximum pile spacing optimization design model of anti-slide pile based on the pile and soil interaction; and particle swarm-support vector machine model of high slope dynamic optimization design. Researchers take advantage of methods and technology including multi-information 3D stratum modeling, slope rock and soil mass mechanics parameter recognition, stability analysis and dynamic intelligent optimization design, an integrated analysis system of high slope dynamic intelligent optimization design is developed in the project. 

After listening to the research report of the project, experts from the appraisal committee come to an agreement after discussion. They believe that the project achievements are highly innovative. The methods and technology are already successfully applied to many major projects including high slope in Three Gorges Reservoir Area. Experts agree that the research achievements have achieved international advanced level.