DAMAGE WITHOUT INDICATION—DETECTION OF TENDON RUPTURE USING CODA WAVE INTERFEROMETRY

Felix Clauß, M. A. Ahrens, P. Mark
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Abstract

Pre-stressing is often the decisive feature of concrete bridges. Deterioration of the tendons used to provide pre-stress is thus an immense problem. To detect potential damage, monitoring of the structures promises to be a remedy. However, since the location of damage is seldom known, conventional monitoring systems reach their limits. Then, ultrasound in conjunction with coda wave interferometry becomes promising to monitor entire structures with just a small number of sensors. To demonstrate the general feasibility of detecting tendon rupture, a pre-stressed concrete beam was experimentally investigated. Failure was artificially initiated by cutting a tendon. Ultrasonic and strain measurements recorded stress changes that occurred due to cross-section losses of the tendon. Both the process of pre-stressing and the artificially induced failure has been tracked using the coda wave technique. Based on the relative velocity change of the ultrasound, the internal state change in the (from the outside) still intact specimen could be detected and tracked. These initial results inspire further in-depth investigations into the detection of pre-stressing steel fractures.
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无征兆损伤--利用柯达波干涉测量法检测肌腱断裂
预应力往往是混凝土桥梁的决定性特征。因此,用于提供预应力的肌腱的退化是一个巨大的问题。为了发现潜在的损害,对结构进行监测有望成为一种补救措施。然而,由于很少知道损坏的位置,传统的监测系统达到了极限。然后,超声波与尾波干涉测量相结合,只用少量传感器就可以监测整个结构。为了证明检测预应力混凝土梁断裂的总体可行性,对预应力混凝土梁进行了试验研究。失败是通过切断肌腱人为引发的。超声和应变测量记录了由于肌腱横截面损失而发生的应力变化。利用尾波技术对预应力过程和人为破坏过程进行了跟踪。基于超声的相对速度变化,可以检测和跟踪(从外部)完整标本的内部状态变化。这些初步结果激发了对预应力钢断裂检测的进一步深入研究。
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NONLINEAR BULK WAVE PROPAGATION IN A MATERIAL WITH RANDOMLY DISTRIBUTED SYMMETRIC AND ASYMMETRIC HYSTERETIC NONLINEARITY SPATIAL FILTERING TECHNIQUE-BASED ENHANCEMENT OF THE RECONSTRUCTION ALGORITHM FOR THE PROBABILISTIC INSPECTION OF DAMAGE (RAPID) KOOPMAN OPERATOR BASED FAULT DIAGNOSTIC METHODS FOR MECHANICAL SYSTEMS ON THE APPLICATION OF VARIATIONAL AUTO ENCODERS (VAE) FOR DAMAGE DETECTION IN ROLLING ELEMENT BEARINGS INTELLIGENT IDENTIFICATION OF RIVET CORROSION ON STEEL TRUSS BRIDGE BY SINGLE-STAGE DETECTION NETWORK
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