Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Health state assessment and early warning method for pile foundation structure deformation
The invention discloses a health state evaluation and early warning method for deformation of a pile foundation structure, and the method comprises the steps: carrying out the model training through a pile foundation data set through a BP neural network, so as to construct a pile foundation vulnerable point prediction model, and achieving the prediction of a pile foundation vulnerable point of an unknown pile foundation structure according to the pile foundation vulnerable point prediction model. The method can accurately predict the position of a breakable point influencing the pile foundation structure, constructs an analytic hierarchy process judgment matrix according to the predicted breakable point, obtains the weight ratio of the breakable point relative to the deformation of the pile foundation structure according to the analytic hierarchy process judgment matrix, and determines the position of the breakable point according to the weight ratio of the breakable point relative to the deformation of the pile foundation structure. According to the method, the pile foundation structure deformation early warning threshold value is calculated and obtained, risk evaluation of the pile foundation structure is quantitatively achieved, accurate evaluation and early warning of the health state of pile foundation structure deformation are achieved through the damage degree of the easily-damaged points of the pile foundation, labor consumption is greatly reduced, and the working efficiency is improved. And an accurate and reliable technical basis is provided for state evaluation of deformation of the pile foundation structure.
本发明公开了一种桩基结构变形的健康状态评估与预警方法，利用BP神经网络通过桩基数据集进行模型训练，以构建桩基易破坏点预测模型，并根据桩基易破坏点预测模型实现对未知桩基结构的桩基易破坏点的预测，能够准确的预测影响桩基结构的易破坏点位置，并根据预测的易破坏点构建层次分析法判断矩阵，并根据层次分析法判断矩阵获取易破坏点相对于桩基结构变形的权重占比，根据桩基易破坏点相对于桩基结构变形的权重占比，计算并获取桩基结构变形预警阈值，以定量实现对桩基结构的风险评价，以通过桩基易破坏点的损坏程度，来实现了桩基结构变形的健康状态的精确评估与预警，大大降低了人工消耗，为桩基结构变形的状态评估提供了准确而可靠的技术基础。
Health state assessment and early warning method for pile foundation structure deformation
The invention discloses a health state evaluation and early warning method for deformation of a pile foundation structure, and the method comprises the steps: carrying out the model training through a pile foundation data set through a BP neural network, so as to construct a pile foundation vulnerable point prediction model, and achieving the prediction of a pile foundation vulnerable point of an unknown pile foundation structure according to the pile foundation vulnerable point prediction model. The method can accurately predict the position of a breakable point influencing the pile foundation structure, constructs an analytic hierarchy process judgment matrix according to the predicted breakable point, obtains the weight ratio of the breakable point relative to the deformation of the pile foundation structure according to the analytic hierarchy process judgment matrix, and determines the position of the breakable point according to the weight ratio of the breakable point relative to the deformation of the pile foundation structure. According to the method, the pile foundation structure deformation early warning threshold value is calculated and obtained, risk evaluation of the pile foundation structure is quantitatively achieved, accurate evaluation and early warning of the health state of pile foundation structure deformation are achieved through the damage degree of the easily-damaged points of the pile foundation, labor consumption is greatly reduced, and the working efficiency is improved. And an accurate and reliable technical basis is provided for state evaluation of deformation of the pile foundation structure.
本发明公开了一种桩基结构变形的健康状态评估与预警方法，利用BP神经网络通过桩基数据集进行模型训练，以构建桩基易破坏点预测模型，并根据桩基易破坏点预测模型实现对未知桩基结构的桩基易破坏点的预测，能够准确的预测影响桩基结构的易破坏点位置，并根据预测的易破坏点构建层次分析法判断矩阵，并根据层次分析法判断矩阵获取易破坏点相对于桩基结构变形的权重占比，根据桩基易破坏点相对于桩基结构变形的权重占比，计算并获取桩基结构变形预警阈值，以定量实现对桩基结构的风险评价，以通过桩基易破坏点的损坏程度，来实现了桩基结构变形的健康状态的精确评估与预警，大大降低了人工消耗，为桩基结构变形的状态评估提供了准确而可靠的技术基础。
Health state assessment and early warning method for pile foundation structure deformation
一种桩基结构变形的健康状态评估与预警方法
LIU HAILONG (Autor:in) / CUI CHUNYI (Autor:in) / MENG FANBO (Autor:in) / WANG KUNPENG (Autor:in) / LI JUN (Autor:in) / WANG QIFU (Autor:in) / XU CHENGSHUN (Autor:in)
15.11.2024
Patent
Elektronische Ressource
Chinesisch
IPC:
G06F
ELECTRIC DIGITAL DATA PROCESSING
,
Elektrische digitale Datenverarbeitung
/
E02D
FOUNDATIONS
,
Gründungen
/
G06N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
,
Rechnersysteme, basierend auf spezifischen Rechenmodellen
/
G06Q
Datenverarbeitungssysteme oder -verfahren, besonders angepasst an verwaltungstechnische, geschäftliche, finanzielle oder betriebswirtschaftliche Zwecke, sowie an geschäftsbezogene Überwachungs- oder Voraussagezwecke
,
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES
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