Selection of optimal seismic intensity measures using fuzzy-probabilistic seismic demand analysis and fuzzy multi-criteria decision approach

Xu, Ming-Yang; Lü, Dagang; Yu, Xiaohui; Jia, Mingming

doi:10.1016/j.soildyn.2022.107615

Cited by 8 publications

(2 citation statements)

References 69 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The chosen IM should effectively capture the ground motion damage potential, and correlation analyses between various IMs and response variables are employed to identify optimal IMs [47][48][49][50]. Riddell [27] proposed a comprehensive evaluation to assess the effectiveness of 23 IMs, as detailed in Liu et al [38].…”

Section: Selection Of Intensity Measuresmentioning

confidence: 99%

Evaluation of Ground Motion Damage Potential with Consideration of Compound Intensity Measures Using Principal Component Analysis and Canonical Correlation Analysis

Liu,

2024

Buildings

Self Cite

View full text Add to dashboard Cite

The primary motivation of this study is to develop a compound intensity measure (IM) to evaluate ground motion damage potential based on principal component analysis (PCA) and canonical correlation analysis (CCA). To illustrate this, this study examines the correlation among intragroup IMs and intergroup IMs, as well as the correlation between various IMs and response variables. A compound IM, which can be obtained by a linear combination of ten IMs in the log-scale, is utilized to measure the ground motion damage potential. Elastoplastic, bilinear and hysteretic models are utilized to determine peak deformation and hysteretic energy as the response variables of Single-Degree-of-Freedom (SDOF) systems. On the basis of the SDOF systems, the overall structural damage index is obtained by a nonlinear time–history analysis for two reinforced concrete moment frame systems. It is clear that the developed compound IM shows significantly high-level correlation with structural response. The better the correlations, the more one can measure the earthquake damage potential. A single IM alone inadequately characterizes structural damage, highlighting the necessity of multiple IMs to estimate the possibility of structural damage.

show abstract

Section: Selection Of Intensity Measuresmentioning

confidence: 99%

Evaluation of Ground Motion Damage Potential with Consideration of Compound Intensity Measures Using Principal Component Analysis and Canonical Correlation Analysis

Liu,

2024

Buildings

Self Cite

View full text Add to dashboard Cite

show abstract

“…Several evaluation criteria have been proposed to determine the best IM for seismic risk assessment of various structures, including correlation, efciency, practicality, profciency, sufciency, relative sufciency, and hazard computability. To date, these criteria and extensive studies are mainly focused on buildings [22,23], bridges [24], dams [25], storage tanks [26], tunnels [27,28], ofshore platform [29,30], and nuclear power plant [31,32]. Due to the space constraints, an elaboration of the work about optimal IM for above-given structures is not shown herein.…”

Section: Introductionmentioning

confidence: 99%

Optimal Intensity Measures for Probabilistic Seismic Stability Assessment of Large Open-Pit Mine Slopes under Different Mining Depths

Che

Chang

Wang

2023

Shock and Vibration

View full text Add to dashboard Cite

The dynamic stability of slopes is the key to ensure the safety of a large open-pit mine during and after a strong earthquake. This study was mainly focused on the identification of optimal intensity measures (IMs) for the probabilistic seismic stability assessment of large open-pit mine slopes within the framework of performance-based earthquake engineering (PBEE). To this end, four open-pit slopes with different mining depths were constructed as the reference cases for the numerical investigation. The randomness of input ground motions and the uncertainty of material properties of the slopes were also considered. A total of 96 ground-motion records and 29 common IMs were selected for testing. By a series of nonlinear time-history analyses, the probabilistic seismic demand models (PSDMs) between the minimum factor of safety (FOS) of slopes and all considered IMs were developed. The optimal IMs with respect to FOS were identified based on the evaluation of five criteria: correlation, efficiency, practicality, proficiency, and sufficiency. The impacts on seismic fragility and FOS response hazard of the slopes were discussed when using different IMs. The results reveal that sustained maximum velocity (SMV) and velocity spectrum intensity (VSI) are recognized as the optimal IM for a mining depth of 50 m and 100 m, respectively. However, Housner intensity (HI) is observed to have the best predictability for both the mining depths of 200 m and 300 m. Moreover, for the three most commonly used IMs, peak ground velocity (PGV) is superior to peak ground acceleration (PGA) and spectral acceleration at first mode period (Sa (T1)) for different mining depths. Finally, based on the evaluations of seismic fragility and FOS response hazard, the uncertainty of seismic stability prediction of open-pit slopes can be greatly reduced when using a more appropriate or optimal IM.

show abstract

A new logarithmic fuzzy full consistency method for prioritizing critical success factors of technology start-ups in Thailand

Phruksaphanrat

Panjavongroj

2023

Applied Soft Computing

View full text Add to dashboard Cite

Selection of optimal seismic intensity measures using fuzzy-probabilistic seismic demand analysis and fuzzy multi-criteria decision approach

Cited by 8 publications

References 69 publications

Evaluation of Ground Motion Damage Potential with Consideration of Compound Intensity Measures Using Principal Component Analysis and Canonical Correlation Analysis

Evaluation of Ground Motion Damage Potential with Consideration of Compound Intensity Measures Using Principal Component Analysis and Canonical Correlation Analysis

Optimal Intensity Measures for Probabilistic Seismic Stability Assessment of Large Open-Pit Mine Slopes under Different Mining Depths

A new logarithmic fuzzy full consistency method for prioritizing critical success factors of technology start-ups in Thailand

Contact Info

Product

Resources

About