Based on optimized forecast method of unascertained classifying,a unascer- tained measurement classifying model (UMC) to predict mining induced goaf collapse was established,The discriminated factors of the model are ...Based on optimized forecast method of unascertained classifying,a unascer- tained measurement classifying model (UMC) to predict mining induced goaf collapse was established,The discriminated factors of the model are influential factors including over- burden layer type,overburden layer thickness,the complex degree of geologic structure, the inclination angle of coal bed,volume rate of the cavity region,the vertical goaf depth from the surface and space superposition layer of the goaf region.Unascertained mea- surement (UM) function of each factor was calculated.The unascertained measurement to indicate the classification center and the grade of waiting forecast sample was determined by the UM distance between the synthesis index of waiting forecast samples and index of every classification.The training samples were tested by the established model,and the correct rate is 100%.Furthermore,the seven waiting forecast samples were predicted by the UMC model.The results show that the forecast results are fully consistent with the ac- tual situation.展开更多
This paper presents an analytical scheme for predicting the collapse strength of a flexible pipe, which considers the structural interaction between relevant layers. The analytical results were compared with a FEA mod...This paper presents an analytical scheme for predicting the collapse strength of a flexible pipe, which considers the structural interaction between relevant layers. The analytical results were compared with a FEA model and a number of test data, and showed reasonably good agreement. The theoretical analysis showed that the pressure armor layer enhanced the strength of the carcass against buckling, though the barrier weakened this effect. The collapse strength of pipe was influenced by many factors such as the inner radius of the pipe, the thickness of the layers and the mechanical properties of the materials. For example, an increase in the thickness of the barrier will increase contact pressure and in turn reduce the critical pressure.展开更多
Developing the radiographic images from two to three-dimensional, finite element analysis(FEA) technology can set up the model, predicting diagnosis, treatment design, as well as surgical plan. FEA provides an accurat...Developing the radiographic images from two to three-dimensional, finite element analysis(FEA) technology can set up the model, predicting diagnosis, treatment design, as well as surgical plan. FEA provides an accurate three-dimensional finite element biomechanical study in osteonecrosis of femoral head(ONFH). The papers in the latest 5 years related to femoral head osteonecrosis and finite element analysis application are concentrated on. We summarize the latest research progress and problems, including the applied research carried out in the femoral head osteonecrosis clinical cases,innovational skills, so as to point out the direction of future research in FEA.展开更多
基金the National Natural Science Foundation of China(50490274)Mittal Innovative and Enterprising Project at Center South University(07MX14)
文摘Based on optimized forecast method of unascertained classifying,a unascer- tained measurement classifying model (UMC) to predict mining induced goaf collapse was established,The discriminated factors of the model are influential factors including over- burden layer type,overburden layer thickness,the complex degree of geologic structure, the inclination angle of coal bed,volume rate of the cavity region,the vertical goaf depth from the surface and space superposition layer of the goaf region.Unascertained mea- surement (UM) function of each factor was calculated.The unascertained measurement to indicate the classification center and the grade of waiting forecast sample was determined by the UM distance between the synthesis index of waiting forecast samples and index of every classification.The training samples were tested by the established model,and the correct rate is 100%.Furthermore,the seven waiting forecast samples were predicted by the UMC model.The results show that the forecast results are fully consistent with the ac- tual situation.
文摘This paper presents an analytical scheme for predicting the collapse strength of a flexible pipe, which considers the structural interaction between relevant layers. The analytical results were compared with a FEA model and a number of test data, and showed reasonably good agreement. The theoretical analysis showed that the pressure armor layer enhanced the strength of the carcass against buckling, though the barrier weakened this effect. The collapse strength of pipe was influenced by many factors such as the inner radius of the pipe, the thickness of the layers and the mechanical properties of the materials. For example, an increase in the thickness of the barrier will increase contact pressure and in turn reduce the critical pressure.
基金Natural Science Foundation of Guangdong Provincegrant number:2014A030310214+3 种基金Science and Technology Project of Guangdong Provincegrant number:2014A020221041the Medical Science and Technology Foundation of Guangdong Provincegrant number:A2015039
文摘Developing the radiographic images from two to three-dimensional, finite element analysis(FEA) technology can set up the model, predicting diagnosis, treatment design, as well as surgical plan. FEA provides an accurate three-dimensional finite element biomechanical study in osteonecrosis of femoral head(ONFH). The papers in the latest 5 years related to femoral head osteonecrosis and finite element analysis application are concentrated on. We summarize the latest research progress and problems, including the applied research carried out in the femoral head osteonecrosis clinical cases,innovational skills, so as to point out the direction of future research in FEA.
