The high-rise steel structure building (structure) is a relatively special structure. Due to its high height characteristics and the overall structure height and narrowness, there is still no unified method for this type of demolition. This paper is aimed at studying the simulation of the demolition of high-rise steel structures by blasting through computer video images. For this reason, this paper proposes a simulation of its specific blasting demolition work based on LS-DYNA software. Through an update to its core algorithm, it is more suitable for the simulation of this type of structure and simultaneously carried out simulation experiment research on the improved results. The experimental results of this paper show that the LS-DYNA software after the algorithm update is more referential to the simulation results of the simulation structure of high-rise steel structures. The simulation structure can increase the similarity to 97% in the actual demolition work, and the comparison probability of risks is also increased by nearly 31%. It can greatly improve the demolition problem of this kind of high-rise steel structure building (structure).
In the process of urban expansion, due to the advantages of high strength and light weight of steel frame structure, it has replaced concrete structure, and the construction technology of towering steel structure has been paid attention to by the construction industry. With the passage of time, steel structure also needs to be removed. In order to adapt to the efficient cutting of steel frame structures, this paper studies a new technology of linear energy-gathering cutting of towering steel structures based on computational intelligence methods. The research results of the article show the following: (1) The greater the penetration depth, the greater the setting of the cutter parameters. According to the experimental results, the designed towering steel structure cutter can smoothly cut more than 10 kinds of towering steel structure materials. It can be seen that the calculation results are basically accurate and the relative error of the calculation remains around 6%. (2) In the computational intelligent analysis method, the total stress is larger than that of the other two analysis methods, and the support stability force is slightly lower than the stress ratio of the direct analysis method, and the computational intelligent analysis method accounts for the largest axial force. (3) The cutting depth and slit width are different at different cutting speeds. When the cutting speed is 8, the cutting depth reaches the maximum value of 1.2300, and 90% of the experimental data errors can be controlled within 10%.
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