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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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The convergence of different population size.
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Related In: Results  -  Collection


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fig9: The convergence of different population size.

Mentions: Population size is key parameters of ABC. To study the effect of the colony size on the convergence rate of the ABC algorithm, five different colonies that consisted of 20, 50, 100, 200, and 400 bees were used. The fitness versus cycle numbers is shown in Figure 9. It can be seen that the convergence rates increase with greater numbers of bees and population size of 200 or 400 bees is enough in this study.


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

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

The convergence of different population size.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

fig9: The convergence of different population size.
Mentions: Population size is key parameters of ABC. To study the effect of the colony size on the convergence rate of the ABC algorithm, five different colonies that consisted of 20, 50, 100, 200, and 400 bees were used. The fitness versus cycle numbers is shown in Figure 9. It can be seen that the convergence rates increase with greater numbers of bees and population size of 200 or 400 bees is enough in this study.

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