一种高效可靠的地震后建筑物结构健康监测系统

M. Roghaei, A. Zabihollah
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引用次数: 13

摘要

地震后占领医院和避难所等重要建筑对救援人员来说是一项危险但又至关重要的任务。本文提出了一种结构健康监测系统,以保证建筑物在地震后的安全可靠。据了解,由于地震引起的地面运动和横向位移可能导致变形,从而在主要结构元件上产生过大的应变和应力。因此,建筑物可能会突然发生故障,这就需要一个可靠而高效的健康监测系统。在需要的位置安装一组压电传感器来测量关键点的变形和应力。压电传感器产生的电压通过数据采集系统发送给计算机。通过测量和监测传感器电压的变化趋势,可以了解现有损伤的发生概率和损伤的传播速度。通过Sap2000®软件和FEMA356,基于侧向载荷和结构行为影响下的非线性静力分析(推覆),报告了基于性能的地震。并对一个三层钢结构建筑进行了验证。研究了地震力引起的侧向位移对各层主单元应变和传感器电压的影响。增加所选元件的应变和位移会增加压电传感器产生的电压。对所产生的信号进行持续的监测和分析,有助于建筑物管理者应用警告警报或呼叫建筑物疏散。
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An Efficient and Reliable Structural Health Monitoring System for Buildings after Earthquake

Occupation of buildings of high importance like hospitals and shelters after earthquake is a risky yet vital task for rescue workers. This paper presents a structural health monitoring system to ensure the safety and reliability of the buildings after earth quack. It is understood that ground motion and lateral displacement due to earthquack may cause deformation and thus excessive strain and stress at the main structural elements. Therefore, the building may suddenly goes to failure, requiring a reliable yet efficient health monitoring system. An array of piezoelectric sensors is mounted at desired location to measure the deformation and stress at critical points. The voltage generated by piezoelectric sensors is sent to computer via a data acquisition system. Measuring and monitoring the trend of changing sensors voltages indicate the probability of existing damages and the rate of propagation. The performance-based seismic is reported based on the nonlinear static analysis (pushover) under the influence of the lateral loading and structural behaviour through the Sap2000® software and FEMA356. The proposed model is verified for a three-story steel structure building. The effects of the lateral displacement caused by earthquake forces on strain and sensors voltage are investigated for each main element in each floor. Increasing the strain and displacements at selected elements increases the voltage generated at piezoelectric sensors. Continuous monitoring and analysis of generated signals helps the building manager to apply warning alarm or call for evacuation of the building.

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Contents Preface Contents Contents Lactic Acid Production from Repeated-Batch and Simultaneous Saccharification and Fermentation of Cassava Starch Wastewater by Amylolytic Lactobacillus Plantarum MSUL 702
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