根据此方法及虚拟仪器技术，设计开发了相应的复合材料结构损伤监测系统。
According to such method and the virtual instrument technique, an active damage monitoring system for composites is developed.
结构损伤识别是开发结构安全监测系统中的一个重要课题。
The development of structural damage identification is an important theme in the structural safety monitoring system.
结构损伤识别是开发结构安全监测系统中的一个重要课题。
Development of structural damage identification becomes an important theme for structural safety monitoring technology.
本文阐述了结构健康监测的内容与要求，以及应用振动诊断方法进行结构损伤识别的技术研究与应用现状。
It elaborates the contents and requirements of the structural health monitoring, and the present research and application of damage identification for structure with vibration diagnosis technique.
因此，对结构损伤进行安全评估的结构健康监测技术研究对于确保海洋平台结构安全，降低维修成本以及延长服役期限都是非常必要的。
Thus, techniques for structural health monitoring in offshore platform structures are essential to ensure safety, reduce the cost of maintenance, and prolong the service life.
结构损伤诊断是结构健康监测的核心内容之一。
Structural damage diagnosis is one of core contents of the structure health monitoring.
结构损伤识别技术是结构健康监测研究的关键问题之一，神经网络技术是解决这一问题的有效工具。
Damage identification technique is one of the key issues for structural health monitoring research. The technology of artificial neural networks is an available tool to solve the issues.
利用碳纳米管传感网络来监测结构应变损伤是不同碳纳米管传感的核心原理。
This paper also focuses on the analysis of the common core principle of carbon nanotubes sensing, namely using carbon nanotubes sensing network to monitor structural strain injury.
开发结构健康监测系统是结构损伤识别的一个重要课题。
Development of health monitoring system has become an important task for structure damage identification.
开发结构健康监测系统是结构损伤识别的一个重要课题。
Development of health monitoring system becomes an important task for structure damage identification.
因此，开展基于泄流振动响应的水工结构损伤诊断与健康监测研究，对于保障泄流结构安全运行具有重大的现实意义。
So, study on damage diagnosis and health monitoring of hydraulic structure based on vibration response by discharge flow has practical significance for discharge flow structures.
结构损伤识别作为健康监测的核心内容之一，是近年来的研究热点。
As one of important contents in health monitoring, structural damage identification is a hot research topic in recent years.
压电阻抗技术是一种基于智能材料的结构损伤检测新技术，在结构健康监测领域有着广泛的应用前景。
Piezoelectric impedance technology which is based on smart material is a brand-new method for structural damage detection, and it could be widely applied in structure health monitoring field.
试验结果表明，该方法能有效地监测结构振动过程中的损伤，以及检测结构刚度损失的大小。
Test results showed that the proposed method is effective for health monitoring and damage detection of the considered structure.
为了避免或减小桥梁在运营期间由于各种原因出现损伤破坏，必须对桥梁结构采取有效的监测。
In order to avoid or reduce certain damages and failures to bridge during the service period, it is necessary to take effective monitoring method for the Bridges.
为了在结构出现严重破坏或者倒塌之前找出这些缺陷和损伤并加以处理避免灾难发生，人们开始对结构进行损伤检测和健康监测等研究。
Serious damage to the structure or to find flaws before the collapse and damage and deal with them avoid disaster, people began to structural damage detection and health monitoring study.
通过监测损伤结构频率对完好结构相应点的偏移，快速检测结构的损伤。
Structural damage is rapidly detected by monitoring the frequency migration of the corresponding point on the intact and damage structure.
监测结果表明埋入的光纤光栅可以方便地监测汽车的流量及其可能的疲劳损伤，为桥梁结构的健康诊断提供依据。
The monitoring results show that traffic fluxes and possible fatigue damages can be monitored conveniently by embedded FBG sensors, and information can be provided for structural health diagnosis.
空心光纤用于智能结构自诊断、自修复是智能材料损伤监测的一个新方向。
Research on self-diagnose and self-repair in Smart Structures by hollow-center optical fiber;
结构损伤识别是桥梁结构健康监测系统的重要组成部分。
Thereby, it is of great significance in theory and practice to perform health monitoring for bridge structures.
空心光纤用于智能结构自诊断、自修复是智能材料损伤监测的一个新方向。
The method for self diagnose and self repair of composite materials using hollow optical fiber with injected adhesive is first put forward.
空心光纤用于智能结构自诊断、自修复是智能材料损伤监测的一个新方向。
The method for self diagnose and self repair of composite materials using hollow optical fiber with injected adhesive is first put forward.
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