scholarly journals A Grid-Based Method to Represent the Covariance Structure for Earthquake Ground Motion

2012 ◽  
Vol 2012 ◽  
pp. 1-13
Author(s):  
Yingmin Li ◽  
Zheqian Wu ◽  
Huiguo Chen
Keyword(s):  
Spatial Variability ◽  
Random Field ◽  
Spatial Variation ◽  
Ground Motion ◽  
Covariance Structure ◽  
Spatial Variations ◽  
Earthquake Ground Motion ◽  
Seismic Motion ◽  
Almost All ◽  
Grid Based

Spatial variation of earthquake ground motion is an important phenomenon that cannot be ignored in the design and safety of strategic structures. However, almost all the procedures for the evaluation of variation assumed that the random field is homogeneous in space. It is obvious that reality does not fully conform to the assumption. How to investigate the inhomogeneous feature of ground motion in space is a challenge for researcher. A body-fitted grid-coordinates-based method is proposed to estimate and describe the local spatial variations for the earthquake ground motion; it need not to make the assumption that the random field of earthquake is homogeneous in space. An analysis of spatial variability of seismic motion in smart-1 array monitored in Lotung, Taiwan demonstrates this methodology.

Influences of subsurface geological structure neighboring geological repository on earthquake motion of the site

2009 ◽  
Vol 1193 ◽  
Author(s):  
Taishi Oouchi ◽  
Hiroyuki Tsuchi ◽  
Tetsuya Ota ◽  
Koji Hane ◽  
Toru Sasaki
Keyword(s):  
Ground Motion ◽  
Velocity Structure ◽  
Geological Structure ◽  
Earthquake Ground Motion ◽  
Seismic Motion ◽  
Earthquake Resistant Design ◽  
Geological Repository ◽  
Subsurface Layers ◽  
Deep Underground ◽  
Structural Boundary

AbstractAccording to recent seismic observation records, there are some cases where unexpectedly large seismic motion was observed deep underground and that was larger than at the surface. The factors influencing such phenomena are assumed to be deep geological structures with topographic irregularity, velocity structure and non-linearity of subsurface layers. These factors should be taken into account in the earthquake-resistant design of a geological repository. The influence of a deep underground geological structure with topographic irregularity on ground motion has been studied and it has been confirmed that such a structure have a significant impact on ground motion and the constructive interference of waves may result in strong earthquake ground motion in the vicinity of a structural boundary deep underground.

Detailed Spatial Variation of Short-Period Earthquake Ground Motion in the vicinity of Tachikawa-Fault

2015 ◽  
Author(s):  
Seiji Tsuno ◽  
Kosuke Chimoto ◽  
Koichiro Saguchi ◽  
Hiroaki Sato ◽  
Shinichi Matsushima ◽  
...  
Keyword(s):  
Spatial Variation ◽  
Ground Motion ◽  
Earthquake Ground Motion ◽  
Short Period

Effects of Spatial Variability of Earthquake Ground Motion

2005 ◽  
Vol 90 (13) ◽  
pp. 73-80
Author(s):  
Miguel Ferreira ◽  
João Negrão
Keyword(s):  
Spatial Variability ◽  
Ground Motion ◽  
Earthquake Ground Motion

INTRINSIC MODE FUNCTIONS OF EARTHQUAKE SLIP DISTRIBUTION

2010 ◽  
Vol 02 (02) ◽  
pp. 193-215 ◽  
Author(s):  
S. T. G. RAGHU KANTH
Keyword(s):  
Spatial Variability ◽  
Random Field ◽  
Ground Motion ◽  
Slip Distribution ◽  
Decomposition Technique ◽  
Intrinsic Mode Functions ◽  
Mode Decomposition ◽  
Finite Fault ◽  
Fluctuation Component ◽  
Time Histories

In this paper, empirical mode decomposition technique is used to analyze the spatial slip distribution of five past earthquakes. It is shown that the finite fault slip models exhibit five empirical modes of oscillation. The last intrinsic mode is positive and characterizes the non-stationary mean of the slip distribution. This helps in splitting the spatial variability of slip into trend and the remaining modes sum as the fluctuation in the data. The fluctuation component indicates that it can be modeled as an anisotropic random field. Important parameters of this random field have been estimated. The effect of these modes on ground motion is presented by simulating both acceleration and displacement time histories.

scholarly journals PSHRisk-Tool: A Python-Based Computational Tool for Developing Site Seismic Hazard Analysis and Failure Risk Assessment of Infrastructure

2020 ◽  
Vol 10 (21) ◽  
pp. 7487
Author(s):  
Tahmina Tasnim Nahar ◽  
Md Motiur Rahman ◽  
Dookie Kim
Keyword(s):  
Risk Assessment ◽  
Seismic Hazard ◽  
Ground Motion ◽  
Hazard Analysis ◽  
Seismic Hazard Analysis ◽  
Earthquake Ground Motion ◽  
Earthquake Hazards ◽  
Failure Risk ◽  
Test Models ◽  
Almost All

To quantify the annual probability of earthquake ground motion (GM) exceeding a given threshold, the extensively used method named by probabilistic seismic hazard analysis (PSHA) can be adopted. The PSHA software made this method more effortless for estimating earthquake hazards for a seismic site. The main motivation of the PSHRisk-tool is to evaluate the PSHA by a user-friendly graphical interface as well as identify the intensities of GM, which will contribute to the most vulnerable condition for the infrastructure. This python-code based tool can demonstrate the source identification, probability distribution plot of magnitude and distance, formulate the hazard curve according to almost all ground motion prediction equations (GMPEs). The deaggregation for each intensity measure (IM) and the effect of seismic parameters in each GMPE can also be determined. Alongside this, the combination of the failure frequency and the hazard analysis for identifying risk assessment separates this tool from the other existing PSHA software. Accurate verification with analytical and existing test models and a case study inspires its acceptance rate. However, with the quickest and easiest way users can determine the seismic hazard analysis for any location. Failure risk analysis can be evaluated simply based on the structural failure parameters.

Sign in / Sign up

Export Citation Format

Share Document