Data-driven reliability assessment of dynamic structures based on power spectrum classification

Behrendt, Marco; Kitahara, Masaru; Kitahara, Takeshi; Comerford, Liam; Beer, Michael

doi:10.1016/j.engstruct.2022.114648

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

2024

Publication Types

Select...

Article3

Relationship

Self Cite1

Independent2

Authors

Journals

Cited by 3 publications

(1 citation statement)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The premise for this approach is data similarity. A method for determining the spectral similarity for such a data set is given in [37]. To illustrate the strength of the imprecise PSD, different data sets are utilised to derive optimal bounds for those.…”

Section: Introductionmentioning

confidence: 99%

Estimation of an imprecise power spectral density function with optimised bounds from scarce data for epistemic uncertainty quantification

Behrendt

Faes

Valdebenito

et al. 2023

Mechanical Systems and Signal Processing

Self Cite

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Estimation of an imprecise power spectral density function with optimised bounds from scarce data for epistemic uncertainty quantification

Behrendt

Faes

Valdebenito

et al. 2023

Mechanical Systems and Signal Processing

Self Cite

View full text Add to dashboard Cite

Namazu: Low-Cost Tunable Shaking Table for Vibration Experiments Under Generic Signals

Grashorn,

Bittner,

Banse

et al. 2024

Exp Tech

View full text Add to dashboard Cite

This article presents Namazu, a low-cost tunable shaking table framework for uniaxial vibration experiments in engineering education and research. All components and corresponding assembly are detailed. The design is easy to use and requires minimum maintenance. Open-source software covering signal generation and microcontroller programming is proposed to prescribe the motion of the table. There is no restriction in the programming language used to interface with the table. Communication with the microcontroller is performed via a serial interface, which eliminates the need for additional software. Besides, any displacement signals, including random ones, can be chosen. Due to the open-source nature of the Namazu table, users can also implement custom methods for signal generation and modify the table hardware. Suggestions are given in the paper. Accuracy is analyzed through displacement measurements. In addition, the Shinozuka benchmark is proposed and applied to test the table accuracy in the frequency domain. The results show good consistency of the signals obtained with the setpoints. Thus, Namazu, including the shaking table and a software suite, offers a versatile, accessible, and accurate solution for vibration experiments.

show abstract

A new approach for assessing the contribution of ground motions frequency content and soil-structure interaction to the seismic response of reinforced concrete moment frames

Hassannejad,

Bazrafshan Moghaddam

2024

Structures

View full text Add to dashboard Cite

Data-driven reliability assessment of dynamic structures based on power spectrum classification

Cited by 3 publications

References 43 publications

Estimation of an imprecise power spectral density function with optimised bounds from scarce data for epistemic uncertainty quantification

Estimation of an imprecise power spectral density function with optimised bounds from scarce data for epistemic uncertainty quantification

Namazu: Low-Cost Tunable Shaking Table for Vibration Experiments Under Generic Signals

A new approach for assessing the contribution of ground motions frequency content and soil-structure interaction to the seismic response of reinforced concrete moment frames

Contact Info

Product

Resources

About