Fuzzy‐Valued Intensity Measures for Near‐Fault Pulse‐Like Ground Motions

Li, Hao; Yi, Wei-Jian; Yuan, Xian‐Xun

doi:10.1111/mice.12053

Cited by 21 publications

(13 citation statements)

References 53 publications

(81 reference statements)

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“…Fuzzy entropy (FuEn) expresses the fuzzy information of a signal [57] using the concept of fuzzy logic [58,59,60,61]. Renyi' entropy (ReEn) is a generalized uncertainty measure [62].…”

Section: Analysis Of Sleep Eeg Signals Using Nonlinear Dynamics Mementioning

confidence: 99%

Nonlinear Dynamics Measures for Automated EEG-Based Sleep Stage Detection

et al. 2015

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Background: The brain's continuous neural activity during sleep can be monitored by electroencephalogram (EEG) signals. The EEG wave pattern and frequency vary during five stages of sleep. These subtle variations in sleep EEG signals cannot be easily detected through visual inspection. Summary: A range of time, frequency, time-frequency and nonlinear analysis methods can be applied to understand the complex physiological signals and their chaotic behavior. This paper presents a comprehensive comparative review and analysis of 29 nonlinear dynamics measures for EEG-based sleep stage detection. Key Messages: The characteristic ranges of these features are reported for the five different sleep stages. All nonlinear measures produce clinically significant results, that is, they can discriminate the individual sleep stages. Feature ranking based on the statistical F-value, however, shows that the third order cumulant of higher order spectra yields the most discriminative result. The distinct value ranges for each sleep stage and the discriminative power of the features can be used for sleep disorder diagnosis, treatment monitoring, and drug efficacy assessment.

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“…Fuzzy entropy (FuEn) expresses the fuzzy information of a signal [57] using the concept of fuzzy logic [58,59,60,61]. Renyi' entropy (ReEn) is a generalized uncertainty measure [62].…”

Section: Analysis Of Sleep Eeg Signals Using Nonlinear Dynamics Mementioning

confidence: 99%

Nonlinear Dynamics Measures for Automated EEG-Based Sleep Stage Detection

et al. 2015

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“…Nonetheless, it is easier to correlate with diverse aspects of the seismic event (magnitude, properties of the site foundation, etc.) (Li et al., ; Yuen and Mu, ). On the other hand, the selected IM for the landslide analysis is the debris flow velocity ( v ).…”

Section: Methodsmentioning

confidence: 99%

Alternative Resilience Indices for City Ecosystems Subjected to Natural Hazards

Bozza

Asprone

Parisi

et al. 2017

Computer aided Civil Eng

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Prompt and efficient responses against natural hazards are needed to build cities capable of withstanding disasters, namely resilient cities. This study aims at presenting and testing synthetic resilience indices over a real urban center threatened by multiple hazards, for which a global overview of city performance is requested. An integrated framework is proposed for quantitative resilience assessment by way of time‐independent synthetic indices. The approach proposed is in accordance to the complex network theory and uses a global indicator of the system connectivity to assess the city functioning also in case of network disruption. Resilience is evaluated as a proxy for systemic urban damage by modeling a city ecosystem as a hybrid social–physical network. Seismic and landslide scenario analyses are performed for the city of Sarno, Italy. A probability‐based approach is used to compute urban vulnerability. Subsequently, to highlight changes in results according to the type of disaster, a recovery strategy is simulated to assess efficiency and damage states in each recovery stage, and urban resilience.

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“…Baker and Cornell [16] demonstrated that the near-fault pulse-like ground motions are not well described by traditional intensity measures and proposed a vector intensity measure that combines S a with a measure of the spectral shape. Li et al [17] proposed two fuzzy-valued (F V ) structure-specific intensity measures (one is based on the squared spectral velocity and the other is based on the inelastic spectral displacement) to characterize near-fault pulse-like ground motions. Zhong et al [1] investigated the response of cable-stayed bridges under synthetic and recorded pulse-like ground motions and found that PGV tends to be the optimal intensity measure compared to other six structure-independent IMs.…”

Section: Introductionmentioning

confidence: 99%

Optimal Seismic Intensity Measure Selection for Isolated Bridges under Pulse‐Like Ground Motions

Jiang

Zhong

et al. 2019

Advances in Civil Engineering

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Isolated bridges are commonly designed in the near-fault region to balance excessive displacement and seismic force. Optimal intensity measures (IMs) of probabilistic seismic demand models for isolated bridges subjected to pulse-like ground motions are identified in this study. Four typical isolated girder bridge types with varied pier height (from 4 m to 20 m) are employed to conduct the nonlinear time history analysis. Totally seven structure-independent IMs are considered and compared. Critical engineering demand parameters (EDPs), namely, pier ductility demands and bearing deformation along the longitudinal and transverse directions, are recorded during the process. In general, PGV tends to be the optimal IM for isolated bridges under pulse-like ground motions based on practicality, efficiency, proficiency, and sufficiency criterions. The results can offer effective guidance for the optimal intensity measure selection of the probabilistic seismic demand models (PSDMs) of isolated bridges under pulse-like ground motions.

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Fuzzy‐Valued Intensity Measures for Near‐Fault Pulse‐Like Ground Motions

Cited by 21 publications

References 53 publications

Nonlinear Dynamics Measures for Automated EEG-Based Sleep Stage Detection

Nonlinear Dynamics Measures for Automated EEG-Based Sleep Stage Detection

Alternative Resilience Indices for City Ecosystems Subjected to Natural Hazards

Optimal Seismic Intensity Measure Selection for Isolated Bridges under Pulse‐Like Ground Motions

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