Title:
改良体の品質予測方法
Document Type and Number:
Japanese Patent JP7269137
Kind Code:
B2
Abstract:
To provide a method capable of predicting quality of an improvement body without waiting for a confirmation result of quality of the improvement body by boring after ground improvement.SOLUTION: There is provided a quality prediction method of an improvement body for predicting quality of the improvement body using a prediction model in a mechanical agitation type deep mixing and treating method. The prediction model is created by learning by a neural network using a plurality of pieces of learning data that is a combination of data concerning a method determined before construction, data concerning the foundation to be constructed, data concerning a construction condition at the time of construction, input data for learning including a ground strength constant, and output data for learning composed of a core sampling ratio. The method includes steps of: inputting, to the prediction model, the data concerning the method determined before construction, the data concerning the foundation to be constructed, the data concerning the construction condition at the time of construction, and the input data for prediction including the ground strength constant; outputting the core sampling ratio from the prediction model as the output data for prediction; and predicting quality of the improvement body.SELECTED DRAWING: None
Inventors:
Keiji Omori
Fumihiko Kimura
Norio Takano
Yukihiro Yamane
Fumihiko Kimura
Norio Takano
Yukihiro Yamane
Application Number:
JP2019157781A
Publication Date:
May 08, 2023
Filing Date:
August 30, 2019
Export Citation:
Assignee:
Onoda Chemiko Co., Ltd.
International Classes:
E02D3/12; E02D1/02
Domestic Patent References:
| JP11209963A | ||||
| JP2015218524A | ||||
| JP2019031794A | ||||
| JP2007333498A | ||||
| JP2018150775A | ||||
| JP2017066795A |
Attorney, Agent or Firm:
Hokuta Naoyuki
Akihiko Kitamura
Toshiya Murachi
Akihiko Kitamura
Toshiya Murachi