Titlebook: EASEC16; Proceedings of The 1 Chien Ming Wang,Vinh Dao,Sritawat Kitipornchai Conference proceedings 2021 Springer Nature Singapore Pte Ltd.

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Ramin Ghiasi,Abdollah Malekjafarianstruct a new damage detection indicator utilizing the concept of Fast Bayesian FFT (Fast Fourier Transform) method. Based on Bayes factor and the properties of FFT data, the prior probability density function (PDF) and the likelihood function in the indicator can be constructed according to Gaussian

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Yuanchen Zeng,Alfredo Núñez,Zili Litly, in which the assumption of equivalent single degree of freedom (SDOF) system is combined with the method of Pushover analysis. On this basis, a simplified IDA based seismic evaluation method of structures is presented, in which the structural capacity curves can be established by using the simp

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Mohammad Rahai,Ali Bakhshi,Akbar Esfandiari to maintain its safety and durability. In this paper, damage detection study is investigated on a rotating flexible beam driven by the rigid hub. In doing so, the equation of motion for in-plane vibration including axial and chordwise deformation is established at first. Then damage detection as an

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Joseph B. Yavitt,Timothy J. Faheyth regularization approach is developed in this paper for output-only modal analysis. The approach manipulates only on the measured signal and does not involve the structural model. The key ingredient lies in the compact-bandwidth constraint, that is, an arbitrary structural mode shall be compact ar

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Experimental and Numerical Study of Flexural-Torsional Buckling of Web-Tapered High-Strength Steel Ing strength of HSS is the state of the residual stresses induced during its fabrication by welding, and these are determined by the non-destructive technique of neutron diffraction which is also described. Based on the results of the experimental programme, a numerical technique embedded in the wide

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Cable Damage Identification of Tied-Arch Bridge Using Convolutional Neural NetworkAS) of acceleration responses at cable anchorage points on the bridge deck are arranged as a matrix, which is used as the input to the CNN. Numerical results show that the current CNN using FAS data can detect both damage’ locations and extent accurately. Robustness of the present CNN has been prove