An Intelligent Approach For Numerical Test Results Of Geotech Problems

The AI method was much more studied in theoretical approach rather than in application in Geotech, due to the shortage of samples, badly distribution of samples, low level of expert experience and so on. On the other hand, the numerical method is widely used in Geotech design and construction. Few of the numerical tests were also introduced to study the theoretical approach for the solution of Geotech problems.The main idea in this paper is to build new improved AI models based on the systematic numerical test results, so that the main samples are come from the sound base with determinate relations, in addition with expert experience.Two typical engineering problems were investigated in this paper with the proposed new approach: the optimization of the ventiduct embankment in the frozen soil foundation, and the stress distribution analysis of the tunnel in the rock mass with a big joint.For the ventiduct optimization designing, two new AI models were established: (1)As a basis of design, the thermal-parameter determining AI model of the frozen soil foundation is built, based on the Chinese code and many experiments data. (2)An optimizing design platform is set up for the ventiduct embankment on frozen soil foundations, based on systematic numerical test results.For tunneling analysis, two new AI models are set up: (1)As a previous study, the determining model of the parameters for the Hoek-Brown Law was investigated with the consideration of the artificial psychology correction for the subjective disturbing error during evaluating the practical jointed rock system. (2)A stress and deformation analysis platform for tunnel with a macro-joint(fault) is then developed and the software is also finished based on systematic numerical test results.Four innovation points has been summarized as follows:1 )The thermal-parameter intelligentized determining approach is proposed by defining a new Integrate Equivalent Thermal Index reflecting the influence of substance composing, granularity, grain proportion and pore ratio to heat exchange coefficient, based on the Chinese code and many experiments data.2) Based on systematic numerical test results aiming at the optimizing of the diameter, space and position of ventiduct tube, and the properties of frozen soil, with the consideration of foundation temperature limitation requirement, a parallel subareas AI forecasting model was built.3) Anew idea is proposed for correction of the artificial disturbance in evaluating the joint rock system, based on the opinion that user's receptivity, emotion, proclivity and knowledge structure are the artificial subjective factors, which must influence the quantity describe of the geological features. And the solving schemes and math models based on Geological Strength Index and the disturbance degree factor are then proposed to eliminate the subjective disturbing error.4) Based on systematic numerical test results considering the fault position, distance, thickness and the rock properties, overburden, tunnel size and tunnel shapes, a parallel subareas AI forecasting model is built with supplement model in series.