Tunneling and measurements in unconsolidated ground

Matsunaga, Tomoyoshi; Sudo, Takashi; Kitagawa, Takuya; Akutagawa, Satoshi; Iida, Hiroomi; Konishi, S.

doi:10.1201/noe0415374521.ch133

Underground Space Use. Analysis of the Past and Lessons for the Future 2005

DOI: 10.1201/noe0415374521.ch133

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Tunneling and measurements in unconsolidated ground

Tomoyoshi Matsunaga¹,

Takashi Sudo²,

Takuya Kitagawa³

et al.

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2008

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Back Analysis of Linear and Nonlinear Ground Behaviors Around Shallow Tunnel by Using Artificial Neural Network

Lee

Akutagawa

Yokota

2008

JSCE JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT

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Artificial Neural Network is used as a key technique for back analysis in a nonlinear tunneling problem. Database is created by performing series of nonlinear finite element analysis while varying parameter values within reasonable ranges determined from experience. Neural networks created from this database are found to be able to identify parameters concerned with both linear and nonlinear deformation behaviors of shallow tunnel. The exercises conducted here show that the proposed method has reasonable stability in all aspect of data preparation and computation and could be a new engineering tool for modern tunnel engineers.

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Back Analysis of Linear and Nonlinear Ground Behaviors Around Shallow Tunnel by Using Artificial Neural Network

Lee

Akutagawa

Yokota

2008

JSCE JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT

View full text Add to dashboard Cite

show abstract

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Tunneling and measurements in unconsolidated ground

Cited by 1 publication

References 0 publications

Back Analysis of Linear and Nonlinear Ground Behaviors Around Shallow Tunnel by Using Artificial Neural Network

Back Analysis of Linear and Nonlinear Ground Behaviors Around Shallow Tunnel by Using Artificial Neural Network

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