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GROUND ESTIMATION DEVICE, GROUND ESTIMATION METHOD, AND PROGRAM
To provide a technology that is superior to conventional technology in terms of cost and construction time and that can accurately estimate when each pile reaches a bearing layer during construction.SOLUTION: A model generation unit 33 generates a learning model by machine learning using teacher data with construction data at the time of driving a pile, specification data of the pile, and surrounding ground data around the position where the pile is driven as explanatory variables, and the soil constant or bearing capacity at a tip position of the driven pile as an objective variable. An estimation unit 36 inputs the construction data, specification data, and surrounding ground data at the time of driving the pile in the construction area into the learning model, and obtains the soil constant or bearing capacity at the tip position of the pile driven in the construction area.SELECTED DRAWING: Figure 3
【課題】費用や工期の面で従来よりも優れており、施工中の杭1本ごとに支持層への到達を精度よく推定する技術を提供する。【解決手段】モデル生成部33は、杭の打設時の施工データ、前記杭の諸元データ及び前記杭を打設する位置の周辺における周辺地盤データを説明変数とし、打設された前記杭の先端位置における土質定数又は支持力を目的変数とした教師データを用いた機械学習により学習モデルを生成し、推定部36は、施工エリアで実施された杭の打設時における施工データ、諸元データ及び周辺地盤データを前記学習モデルに入力し、前記施工エリアで打設された前記杭の先端位置における土質定数又は支持力を取得する。【選択図】図3
GROUND ESTIMATION DEVICE, GROUND ESTIMATION METHOD, AND PROGRAM
To provide a technology that is superior to conventional technology in terms of cost and construction time and that can accurately estimate when each pile reaches a bearing layer during construction.SOLUTION: A model generation unit 33 generates a learning model by machine learning using teacher data with construction data at the time of driving a pile, specification data of the pile, and surrounding ground data around the position where the pile is driven as explanatory variables, and the soil constant or bearing capacity at a tip position of the driven pile as an objective variable. An estimation unit 36 inputs the construction data, specification data, and surrounding ground data at the time of driving the pile in the construction area into the learning model, and obtains the soil constant or bearing capacity at the tip position of the pile driven in the construction area.SELECTED DRAWING: Figure 3
【課題】費用や工期の面で従来よりも優れており、施工中の杭1本ごとに支持層への到達を精度よく推定する技術を提供する。【解決手段】モデル生成部33は、杭の打設時の施工データ、前記杭の諸元データ及び前記杭を打設する位置の周辺における周辺地盤データを説明変数とし、打設された前記杭の先端位置における土質定数又は支持力を目的変数とした教師データを用いた機械学習により学習モデルを生成し、推定部36は、施工エリアで実施された杭の打設時における施工データ、諸元データ及び周辺地盤データを前記学習モデルに入力し、前記施工エリアで打設された前記杭の先端位置における土質定数又は支持力を取得する。【選択図】図3
GROUND ESTIMATION DEVICE, GROUND ESTIMATION METHOD, AND PROGRAM
地盤推定装置、地盤推定方法及びプログラム
KATAYAMA YOHEI (author) / AKIMOTO TEPPEI (author) / UENO KAZUHIKO (author) / KUMAGAI TAKAHIRO (author)
2024-09-30
Patent
Electronic Resource
Japanese
IPC:
E02D
FOUNDATIONS
,
Gründungen
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