Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
DAMAGE DEGREE PREDICTION DEVICE, LEARNED MODEL, METHOD FOR GENERATING LEARNED MODEL, AND DAMAGE DEGREE PREDICTION METHOD
To predict a structural analysis result without using a previously recorded database.SOLUTION: A damage degree prediction device includes: input means for receiving input of numerical data of a deterioration degree or soundness of a girder structure including a plurality of digits to be a target, an identification number indicating the position of the digit in the plurality of digits, and an assumed external force applied to the girder structure to be a target, which are input data to prediction means using a learned model in which, for each of the digits in the girder structure having a plurality of digits, numerical data indicating a degree of deterioration or soundness of the digits, an identification number indicating the position of the digits in the plurality of digits, and an external force applied to the girder structure are used as input data, and teacher data in which information indicating the damage state of the girder structure obtained from the result of a structural analysis when the external force is applied to the girder structure is used as output data are given and machine learning is performed; and output means for outputting information indicating a damaged state of each digit predicted when an assumed external force is applied to the girder structure to be a target, which is obtained from the learned model.SELECTED DRAWING: Figure 1
【課題】構造解析結果があらかじめ記録されたデータベースによることなく予測する。【解決手段】損傷度予測装置は、複数の桁を有する桁構造における桁の各々について、当該桁の劣化度又は健全性を示す数値データ、当該複数の桁における当該桁の位置を示す識別番号、及び桁構造に与えられる外力を入力データとし、当該桁構造に外力が与えられたときの構造解析結果から得られる当該桁構造の損傷状態を示す情報を出力データとする教師データを与えて機械学習をさせた学習済モデルを用いた予測手段に対する入力データである、対象となる複数の桁を含む桁構造の劣化度又は健全性の数値データ、当該複数の桁における当該桁の位置を示す識別番号、及び当該対象となる桁構造に与えられる想定外力の入力を受け付ける入力手段と、学習済モデルから得られる、対象となる桁構造に対し想定外力が与えられたときに予測される各桁の損傷状態を示す情報を出力する出力手段とを有する。【選択図】図１
DAMAGE DEGREE PREDICTION DEVICE, LEARNED MODEL, METHOD FOR GENERATING LEARNED MODEL, AND DAMAGE DEGREE PREDICTION METHOD
To predict a structural analysis result without using a previously recorded database.SOLUTION: A damage degree prediction device includes: input means for receiving input of numerical data of a deterioration degree or soundness of a girder structure including a plurality of digits to be a target, an identification number indicating the position of the digit in the plurality of digits, and an assumed external force applied to the girder structure to be a target, which are input data to prediction means using a learned model in which, for each of the digits in the girder structure having a plurality of digits, numerical data indicating a degree of deterioration or soundness of the digits, an identification number indicating the position of the digits in the plurality of digits, and an external force applied to the girder structure are used as input data, and teacher data in which information indicating the damage state of the girder structure obtained from the result of a structural analysis when the external force is applied to the girder structure is used as output data are given and machine learning is performed; and output means for outputting information indicating a damaged state of each digit predicted when an assumed external force is applied to the girder structure to be a target, which is obtained from the learned model.SELECTED DRAWING: Figure 1
【課題】構造解析結果があらかじめ記録されたデータベースによることなく予測する。【解決手段】損傷度予測装置は、複数の桁を有する桁構造における桁の各々について、当該桁の劣化度又は健全性を示す数値データ、当該複数の桁における当該桁の位置を示す識別番号、及び桁構造に与えられる外力を入力データとし、当該桁構造に外力が与えられたときの構造解析結果から得られる当該桁構造の損傷状態を示す情報を出力データとする教師データを与えて機械学習をさせた学習済モデルを用いた予測手段に対する入力データである、対象となる複数の桁を含む桁構造の劣化度又は健全性の数値データ、当該複数の桁における当該桁の位置を示す識別番号、及び当該対象となる桁構造に与えられる想定外力の入力を受け付ける入力手段と、学習済モデルから得られる、対象となる桁構造に対し想定外力が与えられたときに予測される各桁の損傷状態を示す情報を出力する出力手段とを有する。【選択図】図１
DAMAGE DEGREE PREDICTION DEVICE, LEARNED MODEL, METHOD FOR GENERATING LEARNED MODEL, AND DAMAGE DEGREE PREDICTION METHOD
損傷度予測装置、学習済モデル、学習済モデルの生成方法、及び損傷度予測方法
UNO KUNIHIKO (Autor:in) / BAI KE (Autor:in) / IWANAMI MITSUHO (Autor:in)
05.09.2022
Patent
Elektronische Ressource
Japanisch
IPC:
E01D
BRIDGES
,
Brücken
/
G06Q
Datenverarbeitungssysteme oder -verfahren, besonders angepasst an verwaltungstechnische, geschäftliche, finanzielle oder betriebswirtschaftliche Zwecke, sowie an geschäftsbezogene Überwachungs- oder Voraussagezwecke
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