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Data-driven method for time-varying cable force history identification based on monitoring acceleration

A data-driven, process identification technology, applied in measuring devices, force/torque/work measuring instruments, instruments, etc., can solve problems such as variable cable force history identification, and achieve strong robustness and reliability, high test accuracy, Simple and easy-to-use method

Inactive Publication Date: 2015-11-25
HARBIN INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Based on the above deficiencies, the present invention provides a data-driven method for identifying the time-varying cable force history based on multi-channel monitoring acceleration to solve the problem of identifying the time-varying cable force history of the cable

Method used

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  • Data-driven method for time-varying cable force history identification based on monitoring acceleration
  • Data-driven method for time-varying cable force history identification based on monitoring acceleration
  • Data-driven method for time-varying cable force history identification based on monitoring acceleration

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Experimental program
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Effect test

Embodiment 1

[0057] Benchmark cable-stayed bridge ( figure 1 The C8 stay cable above) is composed of 139 5mm steel wires, the cable length L=100.95m, and the cross-sectional area A=2.73×10 -3 m 2 , the density per unit length is μ=21.43kg / m. In 2006, the C8 stay cable was replaced with an intelligent cable during the cable replacement project, which can monitor the cable force history in real time.

[0058] Step 1: the algorithm of the present invention needs to utilize the acceleration sensor information of 2 or at most 3 channels to identify the force of the cable, and calculate the C8 stay cable in the monitoring wind speed ( figure 2 (a)) and monitoring cable forces ( figure 2 (b)) Acceleration responses at L / 8 and L / 4 positions under action. The 10-second acceleration time history of the L / 8 channel of the C8 cable ( image 3 ) for power spectrum analysis ( Figure 4 ), the highest order frequency excited by the C8 cable is the 30th order, and it can be seen that there is an o...

Embodiment 2

[0064] The length of the test cable is 14.02m, the diameter is 1.5cm, and the mass per unit length is 1.33kg / m. One section of the test cable is fixed, and the other end uses a threaded rod to adjust the stretching length of the cable, thereby adjusting the size of the cable force. At the same time, a dynamometer is arranged at the end of the test cable to monitor the change of the cable force time history. The test cable uses 2 A fan is used as an external excitation to generate vibration.

[0065] Step 1: Lay out acceleration sensors S#1-S#3 at L / 4, L / 2 and 3 / 4L to test the out-of-plane response, the sampling frequency is 200Hz, the test device and sensor layout are as follows: Figure 8 shown. The power spectrum analysis of the 10-second acceleration time history of the test cable S#1 sensor ( Figure 11 ), the highest order frequency excited by the test cable is the 14th order, and it can be seen that there is an obvious multiplier relationship between the test cable fre...

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Abstract

The invention provides an inhaul cable time-variant cable force process recognition data driving method based on acceleration monitoring. According to the method, by applying an efficient unsupervised learning algorithm (complexity degree tracing) and utilizing the monitoring information of multi-channel acceleration sensor distributed on an inhaul cable, real-time identification of cable force time interval can be realized; The complexity degree tracing algorithm can be used for automatically decomposing an acceleration response of the inhaul cable into a single-mode response of the inhaul cable, the real-time frequency of the inhaul cable is identified by virtue of the acceleration information of a quick short time period, and the cable force time interval is calculated by virtue of a tensioning chord theory; proven by simulation analysis on a stayed-cable bridge with actually-measured cable force and actually-measured wind speed and the model test of the inhaul cable, the provided complexity degree tracing algorithm can be used for performing accurate real-time recognition on a time-variable cable force process. The method provided by the invention is a direct and effect time-variable cable force process recognition method, and is simple and easy to use, high in cable force recognition accuracy, high in aging property and capable of realizing online real-time recognition.

Description

technical field [0001] The invention relates to a method for identifying the response of a civil engineering structure, in particular to a data-driven method for identifying the time-varying cable force history of a cable based on monitoring acceleration. Background technique [0002] Cable-stayed bridge is the most widely used bridge type in the world because of its large span, beautiful appearance, and convenient construction. Cable-stayed bridges generally become a landmark building in a region, and are often a transportation hub in a region, which has a vital impact on the political economy of the region. [0003] As the main load-bearing component of the cable-stayed bridge, the cable-stayed cables are composed of high-strength steel wire bundles and PE sheaths. During the service period of stay cables for decades, the coupling of environmental erosion, material aging, long-term effect of load, fatigue effect and mutation effect will inevitably lead to damage accumulat...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01L5/00
Inventor 李惠李顺龙萨蒂什·纳格拉哲杨永超
Owner HARBIN INST OF TECH
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