Results 91 to 100 of about 1,334 (221)

Probabilistic framework for seismic assessment of common existing RC bridge typologies

, 2014
This study concerns a new probabilistic framework to evaluate road/railway bridges after an earthquake by means of analytical fragility curves and inspections on the structure: inspections are taken into account under a probabilistic point of view.
M Zanini, H Zhang, C Modena, MORBIN, RICCARDO, PELLEGRINO, CARLO, MODENA, CLAUDIO, R Morbin, ZANINI, MARIANO ANGELO, C Pellegrino, Zhang H.   +9 more
core   +1 more source

Using Safety Margins for a German Seismic PRA

Science and Technology of Nuclear Installations, 2008
The German regulatory guide demands the performance of a probabilistic risk assessment (PRA) including external events. In 2005, a new methodology guideline (Methodenband) based on the current state of science and technology was released to provide the ...
Ralf Obenland, Theodor Bloem, Wolfgang Tietsch, Jang-Bahadur Singh   +3 more
doaj   +1 more source

Reactivation Mechanism of Dormant Earthflows: Insights From the San Benedetto Landslide (Northern Apennines, Italy)

Journal of Geophysical Research: Earth Surface, Volume 131, Issue 6, June 2026.
Abstract Earthflows are landslides in fine‐grained materials that alternate long dormant phases of very slow movement with short paroxysmal stages of rapid motion. These rapid phases are highly destructive, often causing severe damage to buildings and infrastructure.
M. Berti, N. Dal Seno, A. Zuccarini, M. Bartola, R. Carboni, A. Fantini, L. Monti, M. Musolesi, A. Santoni, G. Caputo, L. Zamboni, G. Ciccarese   +11 more
wiley   +1 more source

Seismic Safety Margins Research Program. Phase I, final report - overview [PDF]

, 1981
The Seismic Safety Margins Research Program (SSMRP) is a multiyear, multiphase program whose overall objective is to develop improved methods for seismic safety assessments of nuclear power plants, using a probabilistic computational procedure.
Cummings, G. E., Johnson, J. J., Bernreuter, D. L., Bohn, M. P., Smith, P. D., Mensing, R. W., Wells, J. E., Dong, R. G., Chuang, T. Y.   +8 more
core   +1 more source

Seismic Reliability Analysis of Highway Pile–Plate Structures Considering Dual Stochasticity of Parameters and Excitation via Probability Density Evolution

Infrastructures
The paper innovatively studies the impact of dual randomness of structural parameters and seismic excitation on the seismic reliability of highway pile–slab structures using the probability density evolution method.
Liang Huang, Ge Li, Chaowei Du, Yujian Guan, Shizhan Xu, Shuaitao Li   +5 more
doaj   +1 more source

A Deep Learning Framework for Peak Ground Velocity Prediction Using Multi‐Station Velocity Waveforms: The Taiwan Transformer Shaking Alert Model (TT‐SAM)

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract This study proposes a deep‐learning–based regional earthquake early warning model, the Taiwan Transformer Shaking Alert Model (TT‐SAM). The model adopts peak ground velocity (PGV) as its primary ground shaking prediction unit, aiming to better reflect actual structural damage and thereby enhance the practical utility and accuracy of the ...
Yu‐Heng Chen, Chung‐Han Chan, Chieh‐Chen Chang, Kuo‐Fong Ma   +3 more
wiley   +1 more source

Probabilistic modeling of earthquake recurrence and magnitude for enhanced geohazard assessment and infrastructure resilience

Seismically active zones pose significant challenges to infrastructure resilience, particularly in regions influenced by continuous tectonic movements. This study presents an innovative probabilistic modeling framework to assess earthquake recurrence and
Khedher, Khaled Mohamed, Benzougagh, B, Jaufer, L, Sestras, Paul, Khedher, KM, Sbihi, A, Benzougagh, Brahim, Ouchen, I, Ouchen, Ibrahim, Spalevic, Velibor, Sbihi, Ayyoub, Jaufer, Lizny, Spalevic, V, Sestras, P, Hughes, PD, Kader, S, Hughes, Philip; id_orcid, Mastere, M, Kader, Shuraik, Mastere, Mohamed   +19 more
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Bayesian Full‐Waveform Monitoring of CO2 Storage With Fluid‐Flow Priors via Generative Modeling

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Quantitative monitoring of subsurface changes is essential for ensuring the safety of geological CO2 ${\text{CO}}_{2}$ sequestration. Full‐waveform monitoring (FWM) can resolve these changes at high spatial resolution, but conventional deterministic inversion lacks uncertainty quantification and incorporates only limited prior information ...
Haipeng Li, Nanzhe Wang, Louis J. Durlofsky, Biondo L. Biondi   +3 more
wiley   +1 more source

Seismic vulnerability assessment: Methodological elements and applications to the case of Romania

This paper is intended to present some studies undertaken in order to develop a seismic vulnerability estimation system to fit the needs of development of earthquake scenarios and of development of an integrated disaster risk management system for ...
Pomonis, A., Georgescu, E. S., Francis, S., Borcia, I. S., Mohindra, R., Sandi, H.   +5 more
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Seismic Probabilistic Risk Assessment and Seismic Margins Studies for Nuclear Power Plants

, 1987
This report presents a review of the seismic probabilistic risk assessment and seismic margin studies for nuclear power plants in the United States. The techniques employed in these studies are briefly described.
Hwang, H.H.M.
core