首页> 外国专利> ANN-BASED SUSTAINABLE STRAIN SENSING MODEL SYSTEM STRUCTURAL HEALTH ASSESSMENT SYSTEM AND METHOD

ANN-BASED SUSTAINABLE STRAIN SENSING MODEL SYSTEM STRUCTURAL HEALTH ASSESSMENT SYSTEM AND METHOD

机译:基于神经网络的可持续应变传感模型系统结构健康评估系统及方法

摘要

The present invention relates to an artificial neural network based stress prediction model system, a safety evaluation system, and a method of evaluating the same, and more particularly, to a wind sensor that is installed in a high-rise structure and measures wind information in real time. A plurality of strain gauges installed on the high-rise structure, and a strain sensor for measuring the strain of the structure according to the wind information measured by the wind sensor and an artificial neural network (ANN) formed by a plurality of wind sensors and strain sensors And a stress prediction model generation unit for generating stress prediction models of the high-rise structure according to the wind loads by training the strain data according to the information. The present invention provides a system for evaluating safety by predicting a stress of a structure using only wind information and generating a safety evaluation model of a sustainable high-rise structure, an evaluation system using the same, and an evaluation method thereof.
机译:基于人工神经网络的应力预测模型系统,安全评估系统及其评估方法技术领域本发明涉及基于人工神经网络的应力预测模型系统,安全评估系统及其评估方法,更具体地,涉及一种安装在高层结构中并在其中测量风信息的风传感器。即时的。多个应变仪安装在高层结构上,并且应变传感器用于根据由风传感器测量的风信息和由多个风传感器形成的人工神经网络(ANN)测量结构的应变。应变传感器和应力预测模型生成单元,用于通过根据信息训练应变数据来根据风荷载生成高层结构的应力预测模型。本发明提供了一种仅通过使用风信息来预测结构的应力并生成可持续的高层结构的安全性评估模型的安全性评估系统,使用该系统的评估系统及其评估方法。

著录项

  • 公开/公告号KR101965879B1

    专利类型

  • 公开/公告日2019-04-08

    原文格式PDF

  • 申请/专利权人 연세대학교 산학협력단;

    申请/专利号KR20160131814

  • 发明设计人 박효선;김유석;오병관;김규진;

    申请日2016-10-12

  • 分类号G06Q50/08;G01B11/16;G01L1/24;G01L5;G01P5;G06F17/50;G06N3/02;

  • 国家 KR

  • 入库时间 2022-08-21 11:48:48

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号