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Back analysis of geomechanical parameters in underground engineering using artificial bee colony.

Zhu C, Zhao H, Zhao M - ScientificWorldJournal (2014)

Bottom Line: To the problem without analytical solution, optimal back analysis is time-consuming, and least square support vector machine (LSSVM) was used to build the relationship between unknown geomechanical parameters and displacement and improve the efficiency of back analysis.The proposed method was applied to a tunnel with analytical solution and a tunnel without analytical solution.The results show the proposed method is feasible.

View Article: PubMed Central - PubMed

Affiliation: School of Civil Engineering, Henan Polytechnic University, Jiaozuo 454003, China.

ABSTRACT
Accurate geomechanical parameters are critical in tunneling excavation, design, and supporting. In this paper, a displacements back analysis based on artificial bee colony (ABC) algorithm is proposed to identify geomechanical parameters from monitored displacements. ABC was used as global optimal algorithm to search the unknown geomechanical parameters for the problem with analytical solution. To the problem without analytical solution, optimal back analysis is time-consuming, and least square support vector machine (LSSVM) was used to build the relationship between unknown geomechanical parameters and displacement and improve the efficiency of back analysis. The proposed method was applied to a tunnel with analytical solution and a tunnel without analytical solution. The results show the proposed method is feasible.

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Flowchart of ABC-based back analysis.
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fig2: Flowchart of ABC-based back analysis.

Mentions: ABC-based back analysis is combined ABC with the analytical solution (see (7) and (8)). ABC produces population of artificial bees including employer bees, onlooker bees, and scout bees. The fitness values can be computed by (10). The displacement of (10) can be computed by (7) and (8). Based on the ABC algorithm, the new population was produced. ABC-based back analysis algorithm can be described as follows (see Figure 2). 


Back analysis of geomechanical parameters in underground engineering using artificial bee colony.

Zhu C, Zhao H, Zhao M - ScientificWorldJournal (2014)

Flowchart of ABC-based back analysis.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4127281&req=5

fig2: Flowchart of ABC-based back analysis.
Mentions: ABC-based back analysis is combined ABC with the analytical solution (see (7) and (8)). ABC produces population of artificial bees including employer bees, onlooker bees, and scout bees. The fitness values can be computed by (10). The displacement of (10) can be computed by (7) and (8). Based on the ABC algorithm, the new population was produced. ABC-based back analysis algorithm can be described as follows (see Figure 2). 

Bottom Line: To the problem without analytical solution, optimal back analysis is time-consuming, and least square support vector machine (LSSVM) was used to build the relationship between unknown geomechanical parameters and displacement and improve the efficiency of back analysis.The proposed method was applied to a tunnel with analytical solution and a tunnel without analytical solution.The results show the proposed method is feasible.

View Article: PubMed Central - PubMed

Affiliation: School of Civil Engineering, Henan Polytechnic University, Jiaozuo 454003, China.

ABSTRACT
Accurate geomechanical parameters are critical in tunneling excavation, design, and supporting. In this paper, a displacements back analysis based on artificial bee colony (ABC) algorithm is proposed to identify geomechanical parameters from monitored displacements. ABC was used as global optimal algorithm to search the unknown geomechanical parameters for the problem with analytical solution. To the problem without analytical solution, optimal back analysis is time-consuming, and least square support vector machine (LSSVM) was used to build the relationship between unknown geomechanical parameters and displacement and improve the efficiency of back analysis. The proposed method was applied to a tunnel with analytical solution and a tunnel without analytical solution. The results show the proposed method is feasible.

Show MeSH