Novel identification technique of moving loads using the random response power spectral density and deep transfer learning

Tang, Qizhi; Xin, Jingzhou; Jiang, Yan; Zhou, Jianting; Li, Shuangjiang; Chen, Zhiyong

doi:10.1016/j.measurement.2022.111120

Cited by 34 publications

(15 citation statements)

References 35 publications

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“…where U and V are orthogonal matrices, σ r ≥ 0 are singular values of the matrix √ WH, r is the rank of the matrix √ WH. Substituting Equation (15) into Equation ( 14), the estimated random forces can be expressed in this form:…”

Section: Random Forces Identificationmentioning

confidence: 99%

“…The effectiveness of the filter and the quality of the results demonstrated the validity of the proposed method. Tang [15] proposes a new method to identify loads based on the random response power spectral density and deep transfer learning strategy. This method is a data-driven model that can deal with ill-posed inverse problems in conventional methods.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Novel Inverse Time–Frequency Domain Approach to Identify Random Forces

You

Yang

et al. 2022

Mathematics

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In order to ensure the reliability and safety of complex engineering structures and allow their redesign and evaluation, the estimation of dynamic loads applied on them is vital. In this paper, a novel time–frequency domain approach is proposed to identify random forces based on the weighted regularization algorithm. Firstly, the Newmark’s algorithm was applied to obtain structural dynamic responses, then a weighed regularization algorithm was used to identify the random forces exerted on the engineering structure. The weighting matrix was used to control the identified error of the random forces. A spatial frame model was built to illustrate the practicality of the proposed approach. The experimental results demonstrated that the proposed method is more effective than other methods for random forces identification.

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Section: Random Forces Identificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Novel Inverse Time–Frequency Domain Approach to Identify Random Forces

You

Yang

et al. 2022

Mathematics

View full text Add to dashboard Cite

show abstract

“…Considering the tensile performance of the stayed cables, the rod unit (LINK10) is used to simulate, the end joints of the transverse member, and the force point of the stay cable on the main beam are connected by a rigid arm. For the stability analysis of cable-stayed bridges, the actual vehicle loads can be converted to a uniform load along the deck [18]. Since the main beam of the model is BEAM4 unit, the unit type can only work on the line distribution load.…”

Section: Calculation and Analysis Of The Modelmentioning

confidence: 99%

Experimental Study on Stability of Long‐Span PC Cable‐Stayed Bridge during the Construction Periods

Zeng

Wang

Shi

et al. 2022

Advances in Civil Engineering

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With the increasing span of cable-stayed bridges, the towers are getting higher and higher, and the stiffening beams are becoming more and more slender. The increase in span causes the axial pressure of the beams and towers to increase rapidly, and the sag effect of the cables, geometric nonlinearity, and material nonlinear effects are significantly increased. The influence of these disadvantages greatly reduces the stability of the cable-stayed bridge, and the stability of the cable-stayed bridge becomes prominent. In this paper, the finite element method is used to analyze the first kind of stability problem and the second kind of stability problem of cable-stayed bridges. On this basis, a large-span prestressed concrete (PC) cable-stayed bridge is taken as an example to analyze and compare the two types of stability problems of the bridge during the construction phase and the operation phase. Besides, the model experimental study on the stability of the bridge during the maximum double cantilever construction period was carried out. The theoretical values and the model test results are compared to verify the correctness of the calculation method and design theory, which may provide a reference for the design, construction, and scientific research of cable-stayed bridges.

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“…Prior research into the shrinkage performance of concrete mainly focused on the impact of materials [ 4 , 5 , 6 ], temperature and humidity [ 7 ], and internally confined reinforcing steel bars (diameter [ 8 ], distribution [ 9 , 10 ], materials [ 11 ], prevention methods [ 12 , 13 ] and surface form [ 14 ]) on the concrete-free shrinkage. As to concrete cracking triggered by indirect load, scholars are interested in examining this issue from the perspective of plain concrete [ 15 ] and internally confined concrete [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

Concrete Elastic Modulus Experimental Research Based on Theory of Capillary Tension

Zhou

et al. 2022

Materials

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The risk of cracking in the early stage is a critical indicator of the performance of concrete structures. Concrete cracked when the tensile stresses caused by deformation under restraint conditions exceeded its tensile strength. This research aims at an accurate prediction of shrinkage cracking of concrete under constraints. Based on the theory of capillary tension under the concrete shrinkage mechanism, the method to test and compute the elastic modulus of a micro-matrix around the capillary, Et, was derived. Shrinkage and porosity determination tests were conducted to obtain the shrinkage values and confining stresses of concrete at different strength grades, different ages and under different restraint conditions, accordingly. Meanwhile, the proposed method of this research was used to obtain Et. The restraint stress given by Et was compared with the experimental result under the corresponding time. The results suggested a positive correlation between the elastic modulus of a micro-matrix around the capillary, Et, precomputed by the theory, and the static elastic modulus, Ec, and that the ratio between the two gradually decreased with the passage of time, which ranged from 2.8 to 3.1.

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Novel identification technique of moving loads using the random response power spectral density and deep transfer learning

Cited by 34 publications

References 35 publications

A Novel Inverse Time–Frequency Domain Approach to Identify Random Forces

A Novel Inverse Time–Frequency Domain Approach to Identify Random Forces

Experimental Study on Stability of Long‐Span PC Cable‐Stayed Bridge during the Construction Periods

Concrete Elastic Modulus Experimental Research Based on Theory of Capillary Tension

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