Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Self-sensing negative Poisson's ratio material blocking protective net and landslide deformation monitoring method
The invention provides a self-sensing negative Poisson's ratio material blocking protective net and a landslide deformation monitoring method, and relates to the technical field of side slope protective nets, the protective net comprises a plurality of protective net pieces, the protective net pieces are made of negative Poisson's ratio materials, the bottom surface of each protective net piece is coated with a flexible conductive film, and the bottom surface of each protective net piece is coated with a flexible conductive film; all the protective net sheets are spliced into a protective net main body; the resistance measuring circuit is respectively connected with each flexible conductive film so as to measure the resistance of each flexible conductive film; and the data processing system is connected with the resistance measuring circuit, and determines the deformation area and the deformation degree of the monitored slope according to the resistance change of each flexible conductive film. The beneficial effects of the invention are that the monitored slope is divided into a plurality of monitoring areas by using the flexible conductive film at the bottom of each protective net sheet, and the deformation area and the deformation degree of the monitored slope can be calculated by measuring the resistance of the flexible conductive film corresponding to each monitoring area and comparing the resistance with the corresponding preset reference value.
本发明提供一种自感测负泊松比材料拦挡防护网及滑坡变形监测方法，涉及边坡防护网技术领域，该防护网包括：多个防护网网片，所述防护网网片由负泊松比材料制造，每一所述防护网网片的底面涂刷有柔性导电膜，各所述防护网网片拼接为防护网主体；电阻测量电路，其分别连接各所述柔性导电膜，以测量各所述柔性导电膜的电阻；数据处理系统，其连接所述电阻测量电路，根据每一所述柔性导电膜的电阻变化确定被监测边坡的变形区域和形变程度。本发明的有益效果：利用各个防护网网片底部的柔性导电膜将被监测边坡划分为多个监测区域，通过测量每一监测区域对应的柔性导电膜的电阻和对应的预设参考值进行比较，可计算出被监测边坡的变形区域和形变程度。
Self-sensing negative Poisson's ratio material blocking protective net and landslide deformation monitoring method
The invention provides a self-sensing negative Poisson's ratio material blocking protective net and a landslide deformation monitoring method, and relates to the technical field of side slope protective nets, the protective net comprises a plurality of protective net pieces, the protective net pieces are made of negative Poisson's ratio materials, the bottom surface of each protective net piece is coated with a flexible conductive film, and the bottom surface of each protective net piece is coated with a flexible conductive film; all the protective net sheets are spliced into a protective net main body; the resistance measuring circuit is respectively connected with each flexible conductive film so as to measure the resistance of each flexible conductive film; and the data processing system is connected with the resistance measuring circuit, and determines the deformation area and the deformation degree of the monitored slope according to the resistance change of each flexible conductive film. The beneficial effects of the invention are that the monitored slope is divided into a plurality of monitoring areas by using the flexible conductive film at the bottom of each protective net sheet, and the deformation area and the deformation degree of the monitored slope can be calculated by measuring the resistance of the flexible conductive film corresponding to each monitoring area and comparing the resistance with the corresponding preset reference value.
本发明提供一种自感测负泊松比材料拦挡防护网及滑坡变形监测方法，涉及边坡防护网技术领域，该防护网包括：多个防护网网片，所述防护网网片由负泊松比材料制造，每一所述防护网网片的底面涂刷有柔性导电膜，各所述防护网网片拼接为防护网主体；电阻测量电路，其分别连接各所述柔性导电膜，以测量各所述柔性导电膜的电阻；数据处理系统，其连接所述电阻测量电路，根据每一所述柔性导电膜的电阻变化确定被监测边坡的变形区域和形变程度。本发明的有益效果：利用各个防护网网片底部的柔性导电膜将被监测边坡划分为多个监测区域，通过测量每一监测区域对应的柔性导电膜的电阻和对应的预设参考值进行比较，可计算出被监测边坡的变形区域和形变程度。
Self-sensing negative Poisson's ratio material blocking protective net and landslide deformation monitoring method
一种自感测负泊松比材料拦挡防护网及滑坡变形监测方法
WANG FEN (Autor:in) / DAI ZHENWEI (Autor:in) / ZHANG ANLE (Autor:in) / ZHOU SHENGTAO (Autor:in) / FU XIAOLIN (Autor:in) / CHENG SHI (Autor:in) / LI ZIXUAN (Autor:in) / YANG ZHE (Autor:in) / ZENG JINGYI (Autor:in) / YE RUNQING (Autor:in)
26.07.2024
Patent
Elektronische Ressource
Chinesisch
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