Integrated stress measurement system in tower crane mast

Lalik, Krzysztof; Dominik, Ireneusz; Ćwiąkała, Paweł; Kwaśniewski, Jerzy

doi:10.1016/j.measurement.2017.01.041

Cited by 27 publications

(15 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Xu et al [6] collected the structure stress by resistance strain gauges and established a complete monitoring system. Lalik et al [7] calculated stresses in the base of the mast crane by surveying the inclination of the tower mast and jib by using a tacheometer to measure the coordinates of two prisms placed on the construction crane. However, for a crane designed to serve in a salt spray environment for more than 10 years, the aforementioned methods struggle to meet the requirements.…”

Section: Introductionmentioning

confidence: 99%

Structural Health Monitoring for Bridge Crane Based on Low Temperature-Sensitivity FBG Sensors

et al. 2021

View full text Add to dashboard Cite

Accurate measurement of the stain variation and effective distinguishment of the temperature-induced stress from the load-induced stress have been major objectives for strain sensors in crane monitoring. In this paper, a fiber Bragg grating (FBG) strain sensor with low temperature-sensitivity, packaged by two gripper tubes and stainless-steel tubes, is presented and applied in a bridge crane health monitoring project. Calibration experiments and reliability tests are conducted to evaluate the stain transferring characteristics of the sensors in a laboratory environment. The results show that the temperature coefficient of the sensor decreases from 10.5 pm/°C to 1.5 pm/°C and the strain coefficient increases from 1.2 pm/με to 4.8pm/με. On the other hand, the on-site tests show that these FBG strain sensors have the advantage of precision, reliability, and applicability. Meanwhile, the low temperature-sensitivity nature of the sensors is verified by the test results, which shows its promising potential in the health monitoring for a bridge crane.

show abstract

Section: Introductionmentioning

confidence: 99%

Structural Health Monitoring for Bridge Crane Based on Low Temperature-Sensitivity FBG Sensors

et al. 2021

View full text Add to dashboard Cite

show abstract

“…However, it is rarely desirable due to the possibility of destroying the component being tested, but sometimes used in nanoscale measurement systems [ 26 , 27 , 28 ]. This system has been successfully applied in civil engineering [ 29 , 30 ], measurement of metallic structures [ 31 , 32 ], mining [ 33 ], ceramic, and concrete structures [ 34 , 35 , 36 , 37 ].…”

Section: Introductionmentioning

confidence: 99%

Autonomous Machine Learning Algorithm for Stress Monitoring in Concrete Using Elastoacoustical Effect

2021

Self Cite

View full text Add to dashboard Cite

The measurement of stress in concrete structures is a complex issue. This paper presents a new measurement system called a self-acoustic system (SAS), which uses frequency measurements of acoustic waves to determine the condition of concrete structures. The SAS uses a positive feedback loop between ultrasonic heads, which causes excitation to a stable limit cycle. The frequency of this cycle is related to the propagation time of an acoustic wave, which directly depends on stresses in the test object. The coupling mechanism between acoustic wave propagation speed and stress is the elastoacoustic effect described in this paper. Thus, the proposed system enables the coupling between the limit cycle frequency and the stress degree of the concrete structure. This paper presents a machine learning algorithm to analyse the frequency spectrum of the SAS system. The proposed solution is a real-time classifier that enables online analysis of the frequency spectrum from the SAS system. With this approach, an autonomous system for stress condition identification of concrete structures is built and described.

show abstract

“…The most direct and effective method to obtain the wind-induced responses of a structure is via field measurements, 10–12 but external environment variables cannot be fully controlled at the operation site, and the testing cost is high. The wind tunnel test, which is applied to study wind loads of tower cranes, is a well-developed method.…”

Section: Introductionmentioning

confidence: 99%

Wind-induced tower crane vibration and safety evaluation

Chen

Qin

Yang

et al. 2019

Journal of Low Frequency Noise, Vibration and Active Control

View full text Add to dashboard Cite

The maximum wind load direction of tower crane is considered to be perpendicular to its jib. The interference effects of its different segments and across-wind loads are ignored in traditional crane safety evaluation. This study proposes a general scheme for the safety evaluation of tower cranes under fluctuating wind loads. The wind coefficients of a full-scale model of a tower crane were calculated by computational fluid dynamics, and then the time history of wind loads, simulated through the autoregressive method, were applied to the finite element model of a tower crane. The results reveal that the maximum along-wind load direction deflected 30°–60°, and the mean ratio of the absolute value of the across-wind coefficient to the along-wind coefficient of the tower crane was 8.56%, which indicated that the across-wind loads should be taken into account in wind-resistant design. Comparing the wind-induced responses of four typical wind directions, the maximum displacement, the bending stress and the axial stress of the tower crane occurred in the positive direction. Furthermore, the maximum acceleration of the cat-head was 0.028 m/s2, which met the comfort requirements of the operator. Although the tower crane met the strength and static stiffness requirements of design rules, the maximum bending stress at the junctions between the jib and the slewing platform, the counterweight and the counter-jib, exceeded the allowable stress, and the first modal of the tower crane was excited. These results warrant considering the effect of fluctuating wind loads in the safety evaluation of a tower crane.

show abstract

Integrated stress measurement system in tower crane mast

Cited by 27 publications

References 27 publications

Structural Health Monitoring for Bridge Crane Based on Low Temperature-Sensitivity FBG Sensors

Structural Health Monitoring for Bridge Crane Based on Low Temperature-Sensitivity FBG Sensors

Autonomous Machine Learning Algorithm for Stress Monitoring in Concrete Using Elastoacoustical Effect

Wind-induced tower crane vibration and safety evaluation

Contact Info

Product

Resources

About