Comparison and Economic Envelope Structure Schemes for Deep Foundation Pit of Subway Stations Based on Fuzzy Logic

Abstract

Since the 1990s, with the continuous advancement of urbanization, the proportion of urban population has gradually increased. There is a serious shortage of land resources, and people’s demand for underground space is increasing day by day. The construction of subway stations has developed into an inevitable trend in the future construction engineering industry, and it is also necessary to select the best solution from various solutions. The purpose of this paper is to study how to evaluate and analyze the economy of the deep foundation pit envelope structure of subway stations based on fuzzy logic, so as to choose the optimal and most economical plan. This paper proposes a fuzzy comprehensive evaluation method based on fuzzy logic, which is a reasonable method for the classic evaluation index. The experimental results of this paper show that in 2015 about 8% of people chose to travel by subway. By 2020, 54.5% of people chose to travel by subway, an increase of 46.5% during this period. It can be seen that more and more people are willing to take the subway, and subway transportation is a public transportation mode with large transportation volume. It has obvious public welfare, and it can relieve the urban traffic pressure very well, so the investment in subway construction in various cities is also increasing.

Risk Reduction Measures and Monitoring Analysis of Deep Foundation Pit with Water in a Metro Station in Hefei

“…The pore water of bedrock mainly occurs in fully weathered argillaceous sandstone (4), which is rich in water and weak in permeability. Bedrock fissure water mainly occurs in strongly weathered argillaceous sandstone (5) and moderately weathered argillaceous sandstone (6), which is rich in water and weak in permeability. In this survey section, the corrosion grade of groundwater to concrete structure is micro, and the corrosion grade of steel bar in concrete structure is micro.…”

“…(4) The No. 1 residential building in the second living area of Hefei Public Security Bureau is a seven-story concrete structure, and the closest distance to the main foundation pit of the station is about 32 m. (5) The No. 5 residential building in the second living area of the Hefei Public Security Bureau is a six-story concrete structure, and the closest distance to the main foundation pit of the station is about 29 m. (6) The outpatient building is a four-story concrete structure, about 14 m away from the main foundation pit of the station.…”

“…On the one hand, the construction of underground garages, commercial streets, and subways can greatly alleviate the pressure of urban land use. On the other hand, the construction of underground garages, commercial streets, and subways can promote the development of a city [3][4][5]. When building an underground car park, a shopping street or a metro, it is inevitable that you will come across a foundation pit.…”

Study on Deformation Characteristics of Retaining Structures under Coupled Effects of Deep Excavation and Groundwater Lowering in the Affected Area of Fault Zones

“…Tian et al [21] compared and selected the optimal support design scheme for excavation support in five main aspects. An et al [22] used the fuzzy logic method to conduct an economic analysis and evaluation of the subway station support structure to determine the optimal solution. Savvides and Papadopoulos formed a Feed Forward Neural Network that estimate failure stresses and strains in Shallow Foundations formed through Stochastic Finite Element Analysis following Savvides and Papadrakakis [23,24].…”

Retracted: Comparison and Economic Envelope Structure Schemes for Deep Foundation Pit of Subway Stations Based on Fuzzy Logic

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [ 1 ]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process: Discrepancies in scope Discrepancies in the description of the research reported Discrepancies between the availability of data and the research described Inappropriate citations Incoherent, meaningless and/or irrelevant content included in the article Peer-review manipulation …”