Investigation of the Effect of Integrated Offset, GPS, and InSAR Data in the Stochastic Source Modeling of the 2002 Denali Earthquake

Autor: Parva Shoaeifar, Katsuichiro Goda

Publikováno v: Geosciences, Vol 14, Iss 11, p 300 (2024)

This study investigates the effect of geological field measurement (offset), global positioning system (GPS), and interferometric synthetic aperture radar (InSAR) data on the estimation of the co-seismic earthquake displacements of the 2002 Denali ea

Externí odkaz: https://doaj.org/article/3950c7c8634a49369fdfe32624cc235e

Prospective Fault Displacement Hazard Assessment for Leech River Valley Fault Using Stochastic Source Modeling and Okada Fault Displacement Equations

Autor: Katsuichiro Goda, Parva Shoaeifar

Publikováno v: GeoHazards, Vol 3, Iss 2, Pp 277-293 (2022)

In this study, an alternative method for conducting probabilistic fault displacement hazard analysis is developed based on stochastic source modeling and analytical formulae for evaluating the elastic dislocation due to an earthquake rupture. It char

Externí odkaz: https://doaj.org/article/690e3b27ded2436c8ee8692b95b80de0

Uncertainty modeling and visualization for tsunami hazard and risk mapping:A case study for the 2011 Tohoku earthquake

Autor: Goda, Katsu, Song, Jie

Publikováno v: Goda, K & Song, J 2016, ' Uncertainty modeling and visualization for tsunami hazard and risk mapping : A case study for the 2011 Tohoku earthquake ', Stochastic Environmental Research and Risk Assessment, vol. 30, no. 8, pp. 2271-2285 . https://doi.org/10.1007/s00477-015-1146-x

This study presents a rigorous computational framework for visualizing uncertainty of tsunami hazard and risk assessment. The methodology consists of three modules: (i) earthquake source characterization and stochastic simulation of slip distribution

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2642::35b1e079575b4aa1790f31c808103d95
https://hdl.handle.net/1983/60015d81-cae3-4d00-9287-652016394607

Research at DLR towards airframe noise prediction and reduction

Autor: Jan Werner Delfs, Michaela Herr, Werner Dobrzynski, Michael Pott-Pollenske, Roland Ewert

Publikováno v: Aerospace Science and Technology. 12:80-90

In the final approach phase airframe noise represents the ultimate aircraft noise barrier for future aircraft when equipped with quiet UHBR engines. This paper summarizes the results achieved at DLR in the development of methods and tools for airfram

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14ec1a94a6e5378717701985ed458875
https://doi.org/10.1016/j.ast.2007.10.014

Prediction of Hot Jet Mixing Noise Using Extended Stochastic Source Correlations

Autor: Marco Rose, Andrej Neifeld, Roland Ewert, Mathias Steger

Publikováno v: 19th AIAA/CEAS Aeroacoustics Conference.

The prediction of jet mixing noise from a stochastic realization based on the Tam & Auriault model was previously studied for cold jet configurations. To generate the acoustical sources the Random Particle M esh method (RPM) was applied, which uses t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49b0932139d8bcbc5e04972e848baef9
https://doi.org/10.2514/6.2013-2040