Antiseismic Method of Prestressed Fabricated Building Structure under Intelligent Big Data

Abstract

Compared with traditional buildings, prefabricated buildings have the advantages of simple construction technology, low construction requirements, and shorter construction time, which can generate more economic benefits for the construction industry. In order to study the seismic capacity of prestressed fabricated building structures under intelligent big data, this article takes fabricated frame structures as the research object and the reinforced walls at the nodes as the starting point to study the damage patterns and energy dissipation capabilities of different seismic waves on the structure. In order to observe the overall seismic performance, the fabricated frame structure was used. The results of the study found that the prestressed fabricated building structure has the best seismic effect when the axial compression is 0.3, and the prestressed degree is below 0.5, which meets the seismic requirements. Therefore, the prestressed degree of the prestressed fabricated building structure should be below 0.5. According to statistics on the results of structural residual deformation and steel bar deformation of buildings under different seismic waves, it can be found that the prestressed fabricated building structure has better self-recovery ability and can better respond to earthquakes with different seismic waves.

Design of Intelligent Construction System for Assembly Building Based on Improved IoT

“…The study indicated that the prestressed assembled structure with axial compression ratio of 0.3 and prestress less than 0.5 has the best seismic performance, which is in line with the seismic design code. At the same time, the system also showed good self-healing properties and better seismic response to different seismic waves [8]. Ding et al developed a graduated intelligent manufacturing system in order to achieve stable, resilient, and applicable assembly production, real-time visibility and traceability of prefabricated production through IoT, and improved the performance level of scheduling and executing decisions under large fluctuations in runtime based on a multi-stage adaptive decision-making mechanism.…”