Performance of a Deep Excavation Irregular Supporting Structure Subjected to Asymmetric Loading

An internal supporting structure because of its low cost, construction speed, and high efficiency in the construction of municipal works in the deep foundation pit enjoys a great advantage. In this paper, ZhongYuan West Road, the actual construction of water pipeline project, describes the mechanical characteristics，the design and construction of the internal supporting structure, It is summarized for an internal supporting structure in deep excavation of accumulated experience.

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Multi-Objective Optimizing Selection Method for Supporting Structure of Deep Foundation Excavation

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.889-890.1337 ◽

2014 ◽

Vol 889-890 ◽

pp. 1337-1342

Author(s):

Qian Feng ◽

Nian Zhu ◽

Yi Zhang

Keyword(s):

Decision Theory ◽

Selection Method ◽

Deep Excavation ◽

Fuzzy Decision ◽

Deep Foundation ◽

Supporting Structure ◽

Multi Objective ◽

Weight Value ◽

Deep Foundation Excavation ◽

Scheme Selection

According to characteristics of deep excavation, using AHP and multi-objective fuzzy decision theory and other methods to identify a suitable deep excavation bracing program preferred method of multi-objective. Combined with the specific examples of projects, using this method for the optimization of engineering support scheme selection, not only can quickly and easily determine the weight value, but also can reduce the human subjectivity of AHP, making the preferred method of science easy, better to meet the practical requirements.

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Research on Deformation Forecasting of Deep Foundation Pit Supporting Structure Based on BP Neural Networks

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.250-253.2116 ◽

2011 ◽

Vol 250-253 ◽

pp. 2116-2119

Author(s):

Yi Xue ◽

Lei Xu ◽

Zheng Zheng Cao

Keyword(s):

Neural Network ◽

Network Theory ◽

Network System ◽

Deep Excavation ◽

Deep Foundation ◽

Foundation Pit ◽

Deep Foundation Pit ◽

Maximum Deformation ◽

Supporting Structure ◽

Neural Network Theory

Excavation engineering is affected by many kinds of factors. It is becoming the key and difficult point in geotechnical engineering. This paper analyzes and predicts the deformation of supporting structure in urban deep excavation with artificial neural network theory, establishing network predictive model to predict the maximum deformation of supporting structure. The result shows that the network system has high precision, and it can be applied to practice.

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Local Failure and Reliability Analysis of Horizontal Struts in Deep Excavation Based on Redundancy Theory

10.3233/atde210189 ◽

2021 ◽

Author(s):

Jianhua Liu ◽

Shaoming Wu ◽

Linfeng Wang ◽

Xiaohan Zhou

Keyword(s):

Numerical Calculation ◽

Reliability Analysis ◽

Calculation Model ◽

Local Failure ◽

Deep Excavation ◽

Large Area ◽

Supporting Structure ◽

The Third ◽

Diaphragm Walls ◽

Supporting Structures

The instability failure of many deep excavations supported by diaphragm walls (retaining piles) and horizontal struts is caused by the local failure of struts and the following large area chain effect. The lack of redundancy of struts is an important reason for the overall failure of supporting structures. In this paper, based on an actual excavation project, the numerical calculation model is established by Flac3D5.0, and the reliability of the supporting structure is analyzed based on the redundancy theory. The main conclusions are as follows: the redundancy of single support is large, and strut (6) (close to the middle of the excavation) is the most important. The redundancy is reduced due to continuous failure, and the redundancy is only 3.50 when strut (1)–(7) are all failed (half of the struts). The second row of the struts has the smallest redundancy, while the third row has the biggest redundancy.

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Calculation method of soil pressure utilization factor on cantilever supporting structure of deep excavation

2011 International Conference on Electric Technology and Civil Engineering (ICETCE) ◽

10.1109/icetce.2011.5776424 ◽

2011 ◽

Author(s):

Ji-Hui Ding ◽

Qin Zhang ◽

Man Yuan

Keyword(s):

Calculation Method ◽

Deep Excavation ◽

Soil Pressure ◽

Utilization Factor ◽

Supporting Structure

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A Shelved Structure for the Support of An Electron Optical Column

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100068825 ◽

1970 ◽

Vol 28 ◽

pp. 366-367

Author(s):

P.H. McLaughlin

Keyword(s):

Electron Source ◽

Floating Platform ◽

Supporting Structure

A shelved structure for the support of an electron optical column affords advantages both to the designer and the user. A lens may be removed for cleaning for example, without demounting the remaining lenses. A custom device for another example, may be placed on a shelf, substituting for the standard lens perhaps so that some specialized research may be undertaken. Especially advantageous is a shelved arrangement if the column assembly is designed to hang from a supporting structure such as a gas borne floating platform, as is the case with the system described below.As shown on the schematic, a floating platform (I) supports the electron source apparatus (2) and a U-shaped column support shelf (3). The column support shelf acts as a key for locating and supporting three struts (4) which with nuts (5) support the condenser shelf (6), the objective shelf (7), the upper projector shelf (8), and the lower projector shelf (9).

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