Examination for Predicting Consolidation Settlement by Measurement Records

DOI Web Site 16 References

Bibliographic Information

Other Title
  • 実測値に基づいた圧密沈下予測手法の検討
  • 実測値に基づいた圧密沈下予測手法の検討--ニューラルネットワークを利用した沈下予測
  • ジッソクチ ニ モトズイタ アツミツチンカ ヨソク シュホウ ノ ケントウ ニューラル ネットワーク オ リヨウ シタ チンカ ヨソク
  • —ニューラルネットワークを利用した沈下予測—
  • —Prediction of settlement by using neural network model—

Search this article

Description

The earthfill structure such as embankments, which are constructed for the preservation of the agricultural land, has shown large settlement in the middle of the construction and after construction in the lowland area on the coast of the Ariake Sea, and then the long term settlement of those buildings is measured. The hyperbolic method is one of the most famous methods that predicting the settlement by using measurement records and is used extensively both domestically and internationally. In this paper the neural network model for predicting settlement by using measurement records in early stage is examined. Using the learning pattern that focused on the convergence of settlement rate, the prediction values are good agreement with the measured values. As a result, having the model learn the data that has a suitable regularity, the proposed method can provide the early prediction of settlement with high accuracy.

Journal

References(16)*help

See more

Related Projects

See more

Keywords

Details 詳細情報について

Report a problem

Back to top