Seismic hazard analysis for critical infrastructures in California
β Scribed by Lalliana Mualchin
- Publisher
- Elsevier Science
- Year
- 2005
- Tongue
- English
- Weight
- 107 KB
- Volume
- 79
- Category
- Article
- ISSN
- 0013-7952
No coin nor oath required. For personal study only.
β¦ Synopsis
California is in a highly seismically active region, and structures must be designed and constructed to withstand earthquakes. Seismic hazard analysis to estimate realistic earthquake ground motions and surface fault rupture offsets is done for various mitigation measures. The best policy is to avoid constructing structures crossing seismogenic faults. Because earthquake timings are unpredictable within our current understanding, the best method is time-invariant deterministic seismic hazard analysis (DHSA) to assess effects from the largest single earthquake called Maximum Credible Earthquake (MCEs) expected from seismogenic faults. Time-dependent hazard estimates such as those arrived at through probabilistic seismic hazard analysis (PSHA) are inherently unreliable. Hazard analyses based on MCEs have been in continuous use for the design and construction of highways and bridges in California for over 30 years.
This paper presents an alternative to other methods of analysis, e.g.,
π SIMILAR VOLUMES
Based on a consistent interpretation of earthquake occurrence as a stochastic process I demonstrate that the mathematical model of Probabilistic Seismic Hazard Analysis (PSHA) as it is in use today is inaccurate and leads to systematic errors in the calculation process. These mathematical errors may
Seismic hazard curves and scenario earthquakes based on probabilistic seismic hazard analysis (PSHA) are evaluated for a site in Korea. Moreover, dominant seismic sources for the site are identified from the contribution factors of the seismic sources. Furthermore, the seismic hazard curves for eigh
P-wave velocity data along with the thickness of sedimentary and crystalline layers within bedrock were collected from all global regions and presented in the Global Crustal Model CRUST2.0, published in 2001. This well-organised database provides invaluable potential contributions towards future sei