The Finite-Difference Time-Domain Method for Modeling of Seismic Wave Propagation

Moczo, Peter; Robertsson, Johan O. A.; Eisner, Leo

doi:10.1016/s0065-2687(06)48008-0

Cited by 277 publications

(164 citation statements)

References 147 publications

Supporting

Mentioning

164

Contrasting

Order By: Relevance

“…Several research groups worldwide are using the most advanced 3D numerical techniques and tools for both forward and inverse modeling. The finite-difference method is probably the most widely used (e.g., Madariaga, 1976;Virieux, 1986;Olsen and Archuleta, 1996;Moczo et al, 2007), but in that technique it is difficult to accurately handle sharp topographic variations and their effect on seismic-wave propagation (see for instance Tarras et al, 2011, and references therein). Thus, for regions such as central Italy in which topography is significant we prefer to resort to a finite-element technique, in which handling topography is natural and accurate.…”

Section: Introductionmentioning

confidence: 99%

Spectral-Element Simulations of Seismic Waves Generated by the 2009 L'Aquila Earthquake

Magnoni¹,

Casarotti²,

Michelini³

et al. 2013

Bulletin of the Seismological Society of America

View full text Add to dashboard Cite

We adopt a spectral-element method (SEM) to perform numerical simulations of the complex wavefield generated by the 6 April 2009 M w 6.3 L'Aquila earthquake in central Italy. The mainshock is represented by a finite-fault solution obtained by inverting strong-motion and Global Positioning System data, testing both 1D and 3D wavespeed models for central Italy. Surface topography, attenuation, and the Moho discontinuity are also accommodated. Including these complexities is essential to accurately simulate seismic-wave propagation. Three-component synthetic waveforms are compared to corresponding velocimeter and strong-motion recordings. The results show a favorable match between data and synthetics up to ∼0:5 Hz in a 200 km × 200 km × 60 km model volume, capturing features mainly related to topography or low-wavespeed basins. We construct synthetic peak ground velocity maps that, for the 3D model, are in good agreement with observations, thus providing valuable information for seismic-hazard assessment. Exploiting the SEM in combination with an adjoint method, we calculate finite-frequency kernels for specific seismic arrivals. These kernels capture the volumetric sensitivity associated with the selected waveform and highlight prominent effects of topography on seismic-wave propagation in central Italy.

show abstract

Section: Introductionmentioning

confidence: 99%

Spectral-Element Simulations of Seismic Waves Generated by the 2009 L'Aquila Earthquake

Magnoni¹,

Casarotti²,

Michelini³

et al. 2013

Bulletin of the Seismological Society of America

View full text Add to dashboard Cite

show abstract

“…A less straightforward issue using pseudospectral differential operators is to model the freesurface boundary condition. While in finite-element methods the implementation of traction-free boundary conditions is natural -simply do not impose any constraint at the surface nodes -finitedifference and pseudospectral methods require a particular boundary treatment [14,23,25,26].…”

Section: The Pseudospectral Methodsmentioning

confidence: 99%

Elastic surface waves in crystals – Part 2: Cross-check of two full-wave numerical modeling methods

et al. 2011

View full text Add to dashboard Cite

Nathalie Favretto-Cristini. Elastic surface waves in crystals -part 2: cross-check of two full-wave numerical modeling methods. Ultrasonics, Elsevier, 2011, 51 (8) AbstractWe obtain the full-wave solution for the wave propagation at the surface of anisotropic media using two spectral numerical modeling algorithms. The simulations focus on media of cubic and hexagonal symmetries, for which the physics has been reviewed and clarified in a companion paper. Even in the case of homogeneous media, the solution requires the use of numerical methods because the analytical Green's function cannot be obtained in the whole space. The algorithms proposed here allow for a general material variability and the description of arbitrary crystal symmetry at each grid point of the numerical mesh. They are based on high-order spectral approximations of the wave field for computing the spatial derivatives. We test the algorithms by comparison to the analytical solution and obtain the wave field at different faces (stress-free surfaces) of apatite, zinc and copper. Finally, we perform simulations in heterogeneous media, where no analytical solution exists in general, showing that the modeling algorithms can handle large impedance variations at the interface.

show abstract

“…Different techniques have been proposed, such as traditional Finite Element Method (FEM) (Lissenden et al 2009;Song et al 2009;Ricci et al 2014), semianalytical finite element method (SAFE) (Hayashi et al 2003;Deng and Yang 2011;Rose 2014), finite differences (Saenger and Bohlen 2004;Moczo et al 2007) or applying the elasticity theory using the global matrix and transfer matrix (Wang and Yuan 2007;Karmazin et al 2011Karmazin et al , 2013. Finite Element Methods have limitations due to the available computational resources, since for high frequencies a very fine discretization, both temporal and spatial, is necessary to comply with the Nyquist theorem and to ensure a minimum number of elements per wavelength in order to replicate the wave.…”

Section: Simulationmentioning

confidence: 99%

Damage Sensing in Blades

Crespo

2016

Mare-Wint

View full text Add to dashboard Cite

This chapter is divided into three parts; the problem, possible solutions and the chosen option to address the problem, which is my PhD topic within the project MAREWINT. So firstly, the chapter presents an overview of the typical damages that a wind turbine blade can suffer during its life operation. Then, a review of different Structural Health Monitoring (SHM) techniques which are currently being investigated for wind turbine blades is presented. Finally, the chapter provides the state-of-the-art of Guided Wave Technology in composite materials; where different aspects of this SHM technique are explained in more detail. IntroductionWind energy is an important renewable energy source which has gained high relevance during the last decades. Different countries have released plans to invest in wind energy in the future years; such as the USA that will generate 20 % of the country's electricity from wind power by 2030 or Denmark that have set the targets of producing 50 % of the power from the wind by 2020 and also of making Denmark completely free of dependence on fossil fuels by 2050. So, the use of wind power is not expected to decrease within the next decade (Márquez et al. 2012). The trend is to manufacture bigger wind turbines and deploy them offshore. These new wind turbines have around 6 MW power output, 120-metre height tower and 80-metre long blades. They are designed to be operating in rough conditions in difficult-to-reach areas. Therefore, the deployment of Structural Health Monitoring (SHM) techniques becomes essential in order to assess remotely the integrity of the structure. The advantages of using these techniques are many (Schulz and Sundaresan 2006), such as reducing expensive costs for periodic inspections of turbines which are hard to reach, prevention of unnecessary replacement of components based on time of use, or minimizing down time and frequency of sudden breakdowns.

show abstract

The Finite-Difference Time-Domain Method for Modeling of Seismic Wave Propagation

Cited by 277 publications

References 147 publications

Spectral-Element Simulations of Seismic Waves Generated by the 2009 L'Aquila Earthquake

Spectral-Element Simulations of Seismic Waves Generated by the 2009 L'Aquila Earthquake

Elastic surface waves in crystals – Part 2: Cross-check of two full-wave numerical modeling methods

Damage Sensing in Blades

Contact Info

Product

Resources

About