【作者】 苏胜昔； 耿朋飞； 刘静； 龚雅平；

【Author】 SU Sheng-xi;Geng Peng-fei;Liu Jing;Gong Ya-Ping;College of Civil Engineering and Architecture, Hebei University;Hebei Tianbo construction technology co.,LTD;

【机构】 河北大学建筑工程学院； 河北天博建设科技有限公司；

【摘要】 由于早期建筑工程质量参差不齐,为了对危旧房屋进行实时健康监测及灾害预警,以砖混结构房屋为研究对象,对结构周围土体施加振动荷载,采用光栅光纤传感器监测结构在振动荷载作用下的变形,利用神经网络建立预测模型,对监测数据进行模拟预测,结果表明神经网络对结构在荷载下的变形预测精度高,预测模型为相应的灾害预警系统提供了理论依据。更多还原

【Abstract】 The quality of early stage architectural project cannot be guaranteed. For real-time monitoring the status and forecast the disaster of dilapidated house, vibrating load was brought to bear on the structureal surrounding soil of a brick-concrete structure building. Using optical fiber grating sensors to monitor the deformation of the structure under vibration load, monitoring data was collected by the receiving equipment. The data was studied by the artificial neural network and the neural network prediction model is established monitoring data simulated. The result shows that neural network do well in the prediction of the deformation and the prediction model provides a theoretical basis to the disaster warning system.更多还原