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| Content Provider | Springer Nature Link |
|---|---|
| Author | Fotopoulou, S. D. Pitilakis, K. D. |
| Copyright Year | 2015 |
| Abstract | The aim of the paper is threefold: first, to evaluate earthquake-induced slope displacements using numerical dynamic analysis considering different real acceleration time histories as input motion and varying the resistance and the compliance of the sliding mass; then, to assess the reliability of the numerical approach by comparing the numerically calculated seismically induced slope displacements with predictions using available empirical models and finally, based on the numerical analysis results, to propose new displacement predictive models applicable in earthquake engineering practice, which relate the co-seismic slope displacement with the best correlated intensity parameters. Linear regression analyses are performed to correlate the computed displacements with various intensity measures (IMs). Optimal scalar and vector IMs are identified in a rigorous way based on proficiency (i.e. a composite measure of efficiency and practicality) and sufficiency criteria. The correlation coefficient between the IMs is also considered for the selection of appropriate vector IMs. Both scalar and vector regression analytical predictive expressions are proposed appropriate for probabilistic or deterministic evaluation of the co-seismic permanent slope displacements in regional and local scale. A generic example proves the reliability of the proposed analytical expressions. |
| Starting Page | 3207 |
| Ending Page | 3238 |
| Page Count | 32 |
| File Format | |
| ISSN | 1570761X |
| Journal | Bulletin of Earthquake Engineering |
| Volume Number | 13 |
| Issue Number | 11 |
| e-ISSN | 15731456 |
| Language | English |
| Publisher | Springer Netherlands |
| Publisher Date | 2015-04-26 |
| Publisher Place | Dordrecht |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Seismically induced slope displacement Numerical parametric analysis Optimal IMs Displacement predictive models Geotechnical Engineering & Applied Earth Sciences Environmental Engineering/Biotechnology Civil Engineering Geophysics/Geodesy Hydrogeology Structural Geology |
| Content Type | Text |
| Resource Type | Article |
| Subject | Building and Construction Geophysics Geotechnical Engineering and Engineering Geology Civil and Structural Engineering |
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