As in the building of deep buried long tunnels,there are complicated conditions such as great deformation,high stress,multi-variables,high non-linearity and so on,the algorithm for structure optimization and its appli...As in the building of deep buried long tunnels,there are complicated conditions such as great deformation,high stress,multi-variables,high non-linearity and so on,the algorithm for structure optimization and its application in tunnel engineering are still in the starting stage. Along with the rapid development of highways across the country,it has become a very urgent task to be tackled to carry out the optimization design of the structure of the section of the tunnel to lessen excavation workload and to reinforce the support. Artificial intelligence demonstrates an extremely strong capability of identifying,expressing and disposing such kind of multiple variables and complicated non-linear relations. In this paper,a comprehensive consideration of the strategy of the selection and updating of the concentration and adaptability of the immune algorithm is made to replace the selection mode in the original genetic algorithm which depends simply on the adaptability value. Such an algorithm has the advantages of both the immune algorithm and the genetic algorithm,thus serving the purpose of not only enhancing the individual adaptability but maintaining the individual diversity as well. By use of the identifying function of the antigen memory,the global search capability of the immune genetic algorithm is raised,thereby avoiding the occurrence of the premature phenomenon. By optimizing the structure of the section of the Huayuan tunnel,the current excavation area and support design are adjusted. A conclusion with applicable value is arrived at. At a higher computational speed and a higher efficiency,the current method is verified to have advantages in the optimization computation of the tunnel project. This also suggests that the application of the immune genetic algorithm has a practical significance to the stability assessment and informationization design of the wall rock of the tunnel.展开更多
文中以开挖面积为604 m 2的超大断面清水江通航隧洞为研究对象,以数值分析手段模拟超大断面软弱围岩隧道施工过程中围岩及支护体系受力变形特性。研究表明,隧洞开挖过程中,拱顶围岩变形影响区域较边墙大,但边墙处围岩受剪应力较拱顶围...文中以开挖面积为604 m 2的超大断面清水江通航隧洞为研究对象,以数值分析手段模拟超大断面软弱围岩隧道施工过程中围岩及支护体系受力变形特性。研究表明,隧洞开挖过程中,拱顶围岩变形影响区域较边墙大,但边墙处围岩受剪应力较拱顶围岩更高;采用长锚杆加固拱顶围岩,可取得较好效果,但长锚杆对边墙围岩加固作用不明显,边墙处更适宜采用短锚杆;隧洞临时支撑拆除前,下导坑临时侧壁弯矩、轴力急剧增大,接近屈服破坏;临时支撑拆除后,主洞初期支护受力明显增大,拱部和仰拱以受弯为主,边墙以受压为主,受力最不利位置为拱脚。展开更多
基金supported by the National Natural Science Foundation of China (No.50808090)
文摘As in the building of deep buried long tunnels,there are complicated conditions such as great deformation,high stress,multi-variables,high non-linearity and so on,the algorithm for structure optimization and its application in tunnel engineering are still in the starting stage. Along with the rapid development of highways across the country,it has become a very urgent task to be tackled to carry out the optimization design of the structure of the section of the tunnel to lessen excavation workload and to reinforce the support. Artificial intelligence demonstrates an extremely strong capability of identifying,expressing and disposing such kind of multiple variables and complicated non-linear relations. In this paper,a comprehensive consideration of the strategy of the selection and updating of the concentration and adaptability of the immune algorithm is made to replace the selection mode in the original genetic algorithm which depends simply on the adaptability value. Such an algorithm has the advantages of both the immune algorithm and the genetic algorithm,thus serving the purpose of not only enhancing the individual adaptability but maintaining the individual diversity as well. By use of the identifying function of the antigen memory,the global search capability of the immune genetic algorithm is raised,thereby avoiding the occurrence of the premature phenomenon. By optimizing the structure of the section of the Huayuan tunnel,the current excavation area and support design are adjusted. A conclusion with applicable value is arrived at. At a higher computational speed and a higher efficiency,the current method is verified to have advantages in the optimization computation of the tunnel project. This also suggests that the application of the immune genetic algorithm has a practical significance to the stability assessment and informationization design of the wall rock of the tunnel.
文摘文中以开挖面积为604 m 2的超大断面清水江通航隧洞为研究对象,以数值分析手段模拟超大断面软弱围岩隧道施工过程中围岩及支护体系受力变形特性。研究表明,隧洞开挖过程中,拱顶围岩变形影响区域较边墙大,但边墙处围岩受剪应力较拱顶围岩更高;采用长锚杆加固拱顶围岩,可取得较好效果,但长锚杆对边墙围岩加固作用不明显,边墙处更适宜采用短锚杆;隧洞临时支撑拆除前,下导坑临时侧壁弯矩、轴力急剧增大,接近屈服破坏;临时支撑拆除后,主洞初期支护受力明显增大,拱部和仰拱以受弯为主,边墙以受压为主,受力最不利位置为拱脚。
