A multiscale finite element model validation method of composite cable-stayed bridge based on Probability Box theory

Zhong, Rumian; Zong, Zhouhong; Niu, Jie; Liu, Qiqi; Zheng, Pengfei

doi:10.1016/j.jsv.2016.01.055

Cited by 26 publications

(18 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The FE model of De Gasperi Bridge, a cable‐stayed bridge in Italy, was constructed, and imposed damage represented by stiffness reduction in structural members were successfully identified. Zhong et al proposed a multiscale FE model validation for cable‐stayed bridges, which was intended to be further used for structural damage prognosis. This approach considered uncertainties of structural parameters and its propagation when subregions were combined in the multiscale FE model.…”

Section: Recent Progress On Damage Identification Methods For Cable‐smentioning

confidence: 99%

Recent progress and future trends on damage identification methods for bridge structures

Chatzi

Sim

et al. 2019

Struct Control Health Monit

231

112

View full text Add to dashboard Cite

Summary Damage identification forms a key objective in structural health monitoring. Several state‐of‐the‐art review papers regarding progress in this field up to 2011 have been published. This paper summarizes the recent progress between 2011 and 2017 in the area of damage identification methods for bridge structures. This paper is organized based on the classification of bridge infrastructure in terms of fundamental structural systems, namely, beam bridges, truss bridges, arch bridges, cable‐stayed bridges, and suspension bridges. The overview includes theoretical developments, enhanced simulation attempts, laboratory‐scale implementations, full‐scale validation, and the summary for each type of bridges. Based on the offered review, some challenges, suggestions, and future trends in damage identification are proposed. The work can be served as a basis for both academics and practitioners, who seek to implement damage identification methods in next‐generation structural health monitoring systems.

show abstract

Section: Recent Progress On Damage Identification Methods For Cable‐smentioning

confidence: 99%

Recent progress and future trends on damage identification methods for bridge structures

Chatzi

Sim

et al. 2019

Struct Control Health Monit

231

112

View full text Add to dashboard Cite

show abstract

“…Probability boxes (P-boxes) are a powerful and versatile tool and are used within the framework to model factors affected by mixed sources of uncertainty, see e.g. [12,13,14,15,16,17,11]. Uncertainty propagation and sensitivity analysis quantify the effect of imprecision and inherent variability on the risk index.…”

Section: Introductionmentioning

confidence: 99%

A post-contingency power flow emulator for generalized probabilistic risks assessment of power grids

Rocchetta

Patelli

2020

Reliability Engineering & System Safety

View full text Add to dashboard Cite

In the past decades, risk assessment frameworks have been developed as a viable alternative to Security-Constrained Dispatch for power grids. Risk-based dispatch can increase power grid profitability and help better understanding of prominent hazards, however, relevant sources of uncertainty are often neglected to meet efficiency requirements. In this work, a research effort towards the development of advanced risk assessment frameworks for power grids is presented. A surrogate model strategy is proposed and speeds up the post-contingency consequence evaluation by analytical sensitivity indices (Line-Outage Distribution Factor). The risk surrogate model is embedded within a generalized uncertainty quantification framework to evaluate: (1) The amount of epistemic uncertainty affecting the risk index and attributable to imprecision in the parameters of the model; (2) The effect aleatory uncertainty in environmental-operational variables. The surrogate model is tested on the 24 nodes IEEE Reliability Test System. Computational time and accuracy of the results are compared to a high-fidelity AC power flow risk model. Strengths and weaknesses of the proposed framework highlighted.

show abstract

“…Moreover, Pai and Palazotto 46 and Pai 47 proposed a time–frequency processing method to improve the accuracy of the HHT method, which can simultaneously decompose a signal into harmonics, and the extracted IF of the harmonics can reveal system nonlinearities. In recent years, Zhong and Pai 7,48,49 discussed a sliding-window tracking method, which can be employed to the IF identification of periodic signals.…”

Section: Introductionmentioning

confidence: 99%

An instantaneous frequency analysis method of stay cables

Zhong

Pai

2019

Journal of Low Frequency Noise, Vibration and Active Control

Self Cite

View full text Add to dashboard Cite

This paper presents and evaluates in detail a conjugate-pair decomposition method for tracking the instantaneous frequency of a vibration signal by processing only three (or more) most recent data points, and Probability Box theory was employed to obtain the uncertain probability distribution of instantaneous frequency. A composite cablestayed bridge with large span, named as Guanhe Bridge, was selected as the engineering background; the proposed conjugate-pair decomposition method is verified and compared with Hilbert-Huang transform method using the measured dynamical data of structural health monitoring system. Moreover, the uncertain probability distribution of instantaneous frequency was discussed; the Probability Box also can be obtained. Results show that the identify results are close to each other using conjugate-pair decomposition and Hilbert-Huang transform, respectively; but the variance of conjugate-pair decomposition is less than Hilbert-Huang transform, and conjugate-pair decomposition requires only a few data points for sliding-window fitting to extract the instantaneous frequency, and the Probability Box of instantaneous frequency will be useful to evaluate safety and potential fatigue problems in the bridge cables.

show abstract

A multiscale finite element model validation method of composite cable-stayed bridge based on Probability Box theory

Cited by 26 publications

References 44 publications

Recent progress and future trends on damage identification methods for bridge structures

Recent progress and future trends on damage identification methods for bridge structures

A post-contingency power flow emulator for generalized probabilistic risks assessment of power grids

An instantaneous frequency analysis method of stay cables

Contact Info

Product

Resources

About