●التكنولوجيا المبتكرة: طورت Chongqing تقنية حفر نفق فعالة من حيث التكلفة
Recently we learned that Chongqing developed a cost-efficient tunnel excavation technology - the "big five-step excavation and construction of section two steps craft" determination and review by the Expert Group to reach domestic leading level.
Chongqing newly developed "large cross section two steps five steps Excavation of technology", by Urban and Rural Construction Committee has determined that the Group of Experts and review arriving domestic leading level.
As we all know, the construction of light rail, subway and other projects, often need to dig a large section tunnel. Previously, for the construction of a large section tunnel essentials main twelve step excavation method, nine-step and seven-step method of excavation excavation method, but these essentials due to the frequent number of excavation, the tunnel crown settlement is likely to cause excessive, coupled with more step, tedious process of handover, so long duration, supplies, high cost.
According to reports, this new approach is the tunnel cross-section is divided into the upper left, upper right, lower left, lower right, in the next five sections excavation and reinforcement, known as five-step excavation technology, this method is less than the traditional method step so construction can improve the efficiency of at least 30%, and can reduce costs by at least 15%.
There is no excavation both to improve efficiency, but also eliminated the construction cost of essentials it? Conventionally, multi-step excavation of traditional essentials, each excavation section is smaller, the probability of occurrence of collapse is smaller than the force, and then the new essentials how eliminated under the conditions of steps to ensure the peaceful construction of it?
"Large section Excavation of two steps five steps craft" accepted the plan and monitor the analog measurement technology, which is used for calculating machine construction reality simulation situation held to arrive at the precise construction of the data can be useful to guard against accidents.