Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Flatness prediction method based on full-scale asphalt pavement life cycle test and feedback neural network
The invention relates to a flatness prediction method based on a full-scale asphalt pavement life cycle test and a feedback neural network, and belongs to the technical field of road engineering. According to the asphalt pavement international flatness index prediction method based on the full-scale pavement life cycle test and the feedback neural network algorithm, the conditions of the structure, the material, the load action mode, the natural environment and the like of a to-be-predicted road are completely the same, and flatness long-term evolution data capable of completely covering the life cycle of the asphalt pavement can be obtained; and flatness prediction is carried out on the basis, so that the precision and reliability of performance prediction can be greatly improved, and the precision and reliability of pavement design are ensured. The prediction method is used for predicting the flatness of the asphalt pavement in the whole life cycle, and necessary reference and basis are provided for asphalt pavement structure design and maintenance decision making.
本发明涉及一种基于足尺沥青路面全寿命周期试验及反馈神经网络的平整度预测方法，属于道路工程技术领域。本发明基于足尺路面全寿命周期试验及反馈神经网络算法的沥青路面国际平整度指数预测方法，与拟预测道路的结构、材料、荷载作用方式、自然环境等条件完全相同，能够获得可完整覆盖沥青路面全寿命周期的平整度长期演化数据，在这个基础上开展的平整度预测，能够大大提高性能预测的精度和可靠性，从而保证路面设计的精准与可信度。本发明的预测方法，用于预测沥青路面在全寿命周期内的平整度，为沥青路面结构设计和养护维修决策提供必要的参考和依据。
Flatness prediction method based on full-scale asphalt pavement life cycle test and feedback neural network
The invention relates to a flatness prediction method based on a full-scale asphalt pavement life cycle test and a feedback neural network, and belongs to the technical field of road engineering. According to the asphalt pavement international flatness index prediction method based on the full-scale pavement life cycle test and the feedback neural network algorithm, the conditions of the structure, the material, the load action mode, the natural environment and the like of a to-be-predicted road are completely the same, and flatness long-term evolution data capable of completely covering the life cycle of the asphalt pavement can be obtained; and flatness prediction is carried out on the basis, so that the precision and reliability of performance prediction can be greatly improved, and the precision and reliability of pavement design are ensured. The prediction method is used for predicting the flatness of the asphalt pavement in the whole life cycle, and necessary reference and basis are provided for asphalt pavement structure design and maintenance decision making.
本发明涉及一种基于足尺沥青路面全寿命周期试验及反馈神经网络的平整度预测方法，属于道路工程技术领域。本发明基于足尺路面全寿命周期试验及反馈神经网络算法的沥青路面国际平整度指数预测方法，与拟预测道路的结构、材料、荷载作用方式、自然环境等条件完全相同，能够获得可完整覆盖沥青路面全寿命周期的平整度长期演化数据，在这个基础上开展的平整度预测，能够大大提高性能预测的精度和可靠性，从而保证路面设计的精准与可信度。本发明的预测方法，用于预测沥青路面在全寿命周期内的平整度，为沥青路面结构设计和养护维修决策提供必要的参考和依据。
Flatness prediction method based on full-scale asphalt pavement life cycle test and feedback neural network
基于足尺沥青路面全寿命周期试验及反馈神经网络的平整度预测方法
SHAN LINGYAN (Autor:in) / ZHOU XINGYE (Autor:in) / WANG XUDONG (Autor:in) / XIAO QIAN (Autor:in) / LI QIAN (Autor:in) / YUAN ZUGUANG (Autor:in) / FAN JIEQIANG (Autor:in)
31.10.2023
Patent
Elektronische Ressource
Chinesisch
IPC:
G01B
MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS
,
Messen der Länge, der Dicke oder ähnlicher linearer Abmessungen
/
E01C
Bau von Straßen, Sportplätzen oder dgl., Decken dafür
,
CONSTRUCTION OF, OR SURFACES FOR, ROADS, SPORTS GROUNDS, OR THE LIKE
/
G01N
Untersuchen oder Analysieren von Stoffen durch Bestimmen ihrer chemischen oder physikalischen Eigenschaften
,
INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
/
G06N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
,
Rechnersysteme, basierend auf spezifischen Rechenmodellen
Flatness prediction method based on full-scale asphalt pavement full-life-cycle test
| Europäisches Patentamt | 2023
| Europäisches Patentamt | 2023
| Europäisches Patentamt | 2023
| Europäisches Patentamt | 2023
| Europäisches Patentamt | 2023