Joint parameter-input estimation for virtual sensing on an offshore platform using output-only measurements

Song, Mingming; Christensen, Silas Sverre; Moaveni, Babak; Brandt, Anders; Hines, Eric M.

doi:10.1016/j.ymssp.2022.108814

Cited by 20 publications

(3 citation statements)

References 57 publications

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“…Measurement of the average wind speed is needed to calculate the comprehensive heat transfer coefficient. the reference temperature was set to 0 • C according to the relevant literature [45] in order to facilitate the application of temperature load in the ANSYS calculations. The deviation of the pier along the bridge caused by the sunlight temperature difference was more obvious than in any other direction, so the deviation of the pier top along the bridge in this direction is selected for calculation and analysis.…”

Section: Comparative Analysis Of Algorithm Resultsmentioning

confidence: 99%

An Analytical Algorithm for Determining Optimal Thin-Walled Hollow Pier Configuration with Sunlight Temperature Differences

Yuan

et al. 2023

Buildings

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Formulas for computing the line shape of a thin-walled hollow pier body based on structural characteristics and measured sunlight temperature difference are derived using an analytical algorithm. In a case study of the No. 5 pier of a newly constructed continuous beam bridge on a mountainous expressway of Guizhou Province in China, the pier top’s displacement calculated by the analytical algorithm, currently accepted code, and a FEM program were each compared to its measured values. Furthermore, the effects of sunlight temperature difference, pier height, and wall thickness on the line shape of the pier body were explored, and the results show that the calculation values from these formulas were closer to the measured values than the currently accepted code, with a maximum error of 0.507 mm, demonstrating that the formulas have a more dependable result, higher precision, and more specific applicability. Thus, the algorithm provides a better method for the line shape calculation and construction control of thin-walled hollow piers because it can accurately account for sunlight temperature differences and pier height.

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Section: Comparative Analysis Of Algorithm Resultsmentioning

confidence: 99%

An Analytical Algorithm for Determining Optimal Thin-Walled Hollow Pier Configuration with Sunlight Temperature Differences

Yuan

et al. 2023

Buildings

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“…The simplest and most commonly used VS method is the Modal Expansion and Decomposition (MED)-based method [1] [2]. Following the method, the numerical mode shapes of the test object obtained from a Finite Element Model (FEM) are combined with measured responses at certain degrees of freedom (DOF), where the physical sensors are installed.…”

Section: Introductionmentioning

confidence: 99%

An experimental study on the performance of virtual sensing using optimal and regular physical sensors placement

Bourdalos,

Zisopoulos,

Tcherniak

et al. 2024

J. Phys.: Conf. Ser.

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Vibration analysis is highly beneficial in a variety of engineering areas. However, in many real-world applications, vibration data acquisition may be challenging due to the accessibility of the desired sensor locations. It can be also costly if many measurement points are required. Consequently, a few vibration estimation methods have been proposed, which are referred to as “virtual sensing”. Virtual sensing claims to be able to replace a physical sensor with a virtual one, whose signal should closely resemble the signal from the physical sensor if it was placed at the same location. The signal from such a virtual sensor is estimated based on a numerical model of the structure under test and data from a number of physical sensors. In this study, the well-known modal expansion and decomposition-based virtual sensing method is examined, and its sensitivity to the amount and location of physical sensors is explored. Two sensor placement scenarios are considered: (i) the most common scenario where the physical sensors are placed in the nodes of a regular mesh, and (ii) where the sensors configuration is generated by the optimal sensors placement (OSP) algorithm. The experimental examination is performed on a simple test structure (rectangular aluminum plate) using time and frequency domain performance indicators for three excitation profiles (pseudo-random, burst pseudorandom, and sinusoidal). The results demonstrate that the use of OSP significantly improves the performance of virtual sensing.

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“…Output-only methods use output sequences in the identification process. 6 These outputs are excited by disturbances such as wind and vehicle traffic as well as unexpected events such as heat variations. 7 Compared to an input generated from an actuator, the disturbance does not enable control and measure sequences.…”

Section: Introductionmentioning

confidence: 99%

Structural modal parameter identification incorporating with semi-active piezoelectric control

Hara

Asanuma

Otsuka

et al. 2023

Active and Passive Smart Structures and Integrated Systems XVII

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In this paper, we present a novel structural identification method using semi-active inputs generated by piezoelectric transducers. Structural identification using input and output information provides an accurate structural model. Conventional identification uses a maximum-length sequence, whose signal shape is similar to a square wave, as input. To generate inputs suitable for identification, several devices are required. These devices consume a lot of energy. If inputs are generated by a small number and simple design devices with low consumption, structural identification will be more practical. Piezoelectric semi-active control has been used in the research field of vibration control. This control generates a semi-active input whose signal shape is similar to a square wave. The semi-active input is generated by a simple circuit. The generation of the semi-active input consumes little energy. Therefore, the semi-active input has the potential to be used as an identification input instead of the maximum-length sequence. The property of the semi-active input is related to the generation strategy. This paper proposes a novel strategy to generate a semi-active input suitable for identification. Due to the unique mechanism of semi-active input generation, the novel strategy sometimes has the problem of generating semi-active inputs that are not suitable for identification. This paper discusses the reason and the solution to this problem. The feasibility of semi-active identification is presented through the numerical simulation and validation experiment. The identification result of the proposed method was close to the exact model. The proposed method achieved a 99% reduction in energy consumption.

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Joint parameter-input estimation for virtual sensing on an offshore platform using output-only measurements

Cited by 20 publications

References 57 publications

An Analytical Algorithm for Determining Optimal Thin-Walled Hollow Pier Configuration with Sunlight Temperature Differences

An Analytical Algorithm for Determining Optimal Thin-Walled Hollow Pier Configuration with Sunlight Temperature Differences

An experimental study on the performance of virtual sensing using optimal and regular physical sensors placement

Structural modal parameter identification incorporating with semi-active piezoelectric control

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