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International Journal of Engineering Technology and Construction, 2022, 3(3); doi: 10.38007/IJETC.2022.030306.

The Influence of Underground Structure Blasting Construction on the Geo-technical Structure of Nearby Surface Buildings under the Background of Fuzzy Neural Network

Author(s)

Rizwan Jalalli

Corresponding Author:
Rizwan Jalalli
Affiliation(s)

GLA University, India

Abstract

With the application of fuzzy neural network blasting technology in urban construction, the harm of fuzzy neural network blasting vibration to buildings is paid more and more attention. In order to avoid the blindness of fuzzy neural network blasting vibration reduction in project design, reduce the waste of manpower and material resources, to ensure the construction safety and construction quality and the safety of ground buildings, underground structures must be near the earth's surface building caused by fuzzy neural network blasting vibration monitoring, and to predict the strength of the fuzzy neural network blasting vibration, in order to guide the optimization of underground engineering fuzzy neural network blasting parameters adjustment and subsequent construction. Therefore, a series of related problems of fuzzy neural network blasting seismic wave and the study on the influence of engineering fuzzy neural network blasting on ground construction and structures are of great significance for the safe fuzzy neural network blasting construction in cities. This paper mainly studies the effect of fuzzy neural network blasting construction on the rock and soil structure of nearby buildings. In this paper, the fuzzy neural network blasting seismic waves of underground structures are monitored, and the fuzzy neural network blasting vibration of no. 2 and no. 1 buildings are monitored. According to the monitoring value of fuzzy neural network blasting vibration, the article element to be evaluated is established. In the experiment of this paper, it was finally concluded that the eigenvalues of grade variables at point 1 and point 2 were 2.22 and 2.28, and the evaluation results were all within the level of slight influence, and the fact also proved that only slight earthquake sensation was available, so special shock absorption measures could not be taken under the influence of the same fuzzy neural network blasting seismic wave.

Keywords

Fuzzy Neural Network Blasting Construction, Rock and Soil Structure, Underground Structures, Surface Buildings

Cite This Paper

Rizwan Jalalli. The Influence of Underground Structure Blasting Construction on the Geo-technical Structure of Nearby Surface Buildings under the Background of Fuzzy Neural Network. International Journal of Engineering Technology and Construction (2022), Vol. 3, Issue 3: 77-92. https://doi.org/10.38007/IJETC.2022.030306.

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