Explicit Directivity-Pulse Inclusion in Probabilistic Seismic Hazard Analysis

2007 ◽  
Vol 23 (4) ◽  
pp. 867-891 ◽  
Author(s):  
Polsak Tothong ◽  
C. Allin Cornell ◽  
J. W. Baker

Probabilistic seismic hazard analysis (PSHA) is widely used to estimate the ground motion intensity that should be considered when assessing a structure's performance. Disaggregation of PSHA is often used to identify representative ground motions in terms of magnitude and distance for structural analysis. Forward directivity–induced velocity pulses, which may occur in near-fault (or near-source) motions, are known to cause relatively severe elastic and inelastic response in structures of certain periods. Here, the principles of PSHA are extended to incorporate the possible occurrence of a velocity pulse in a near-fault ground motion. For each magnitude and site-source geometry, the probability of occurrence of a pulse is considered along with the probability distribution of the pulse period given that a pulse does occur. A near-source “narrowband” attenuation law modification to predict ground motion spectral acceleration ( Sa) amplitude that takes advantage of this additional pulse period information is utilized. Further, disaggregation results provide the probability that a given level of ground motion intensity is caused by a pulse-like ground motion, as well as the conditional probability distribution of the pulse period associated with that ground motion. These extensions improve the accuracy of PSHA for sites located near faults, as well as provide a rational basis for selecting appropriate near-fault ground motions to be used in the dynamic analyses of a structure.

Author(s):  
Zoya Farajpour ◽  
Milad Kowsari ◽  
Shahram Pezeshk ◽  
Benedikt Halldorsson

ABSTRACT We apply three data-driven selection methods, log-likelihood (LLH), Euclidean distance-based ranking (EDR), and deviance information criterion (DIC), to objectively evaluate the predictive capability of 10 ground-motion models (GMMs) developed from Iranian and worldwide data sets against a new and independent Iranian strong-motion data set. The data set includes, for example, the 12 November 2017 Mw 7.3 Ezgaleh earthquake and the 25 November 2018 Mw 6.3 Sarpol-e Zahab earthquake and includes a total of 201 records from 29 recent events with moment magnitudes 4.5≤Mw≤7.3 with distances up to 275 km. The results of this study show that the prior sigma of the GMMs acts as the key measure used by the LLH and EDR methods in the ranking against the data set. In some cases, this leads to the resulting model bias being ignored. In contrast, the DIC method is free from such ambiguity as it uses the posterior sigma as the basis for the ranking. Thus, the DIC method offers a clear advantage of partially removing the ergodic assumption from the GMM selection process and allows a more objective representation of the expected ground motion at a specific site when the ground-motion recordings are homogeneously distributed in terms of magnitudes and distances. The ranking results thus show that the local models that were exclusively developed from Iranian strong motions perform better than GMMs from other regions for use in probabilistic seismic hazard analysis in Iran. Among the Next Generation Attenuation-West2 models, the GMMs by Boore et al. (2014) and Abrahamson et al. (2014) perform better. The GMMs proposed by Darzi et al. (2019) and Farajpour et al. (2019) fit the recorded data well at short periods (peak ground acceleration and pseudoacceleration spectra at T=0.2  s). However, at long periods, the models developed by Zafarani et al. (2018), Sedaghati and Pezeshk (2017), and Kale et al. (2015) are preferable.


2018 ◽  
Vol 6 (4) ◽  
Author(s):  
Rahma Kusuma Dewi ◽  
Yusep Muslih Purwana ◽  
Raden Harya Dananjaya

<p>Indonesia merupakan salah satu negara dengan dengan tingkat intensitas kegempaan yang cukup tinggi, terlihat dari lokasinya yang berdekatan dengan sumber-sumber gempa diantaranya, zona subduksi, sesar (fault) yang aktif, dan cinicin api pasifik (gunung berapi) yang tersebar di sepanjang negara kepulauan ini. Diantara beberapa pulau di Indonesia, Pulau Jawa menjadi salah satu pulau dengan aktivitas seismik yang tinggi. Pulau dengan jumlah penduduk paling banyak, sebagai pusat pemerintahan dan kegiatan industri menjadikan Jawa mempunyai tingkat resiko kerusakan bangunan dan infrastruktur yang cukup tinggi. Salah satu bangunan yang mempunyai tingkat resiko tinggi adalah bendungan urugan. Penelitian ini akan mengevaluasi bahaya gempa pada salah satu bendungan besar Indonesia yaitu Bendungan Wadaslintang. Bendungan ini terletak di perbatasan 3 kabupaten besar yaitu Kabupaten Kebumen, Purworejo dan Wonosobo. Bendungan ini dibangun pada tahun 1982 sampai 1987, dengan tinggi 116 m. Mengingat usia bendungan yang mencapai 31 tahun serta potensi gempa yang cukup tinggi, maka perlu adanya evaluasi terbaru mengenagi resiko gempa di Bendungan Wadaslintang. Analisis ini menggunakan metode <em>Probabilistic Seismic Hazard Analysis</em> (PSHA) dengan bantuan <em>software R-Crisis</em> 2018. Hasil analisis PSHA menunujukkan nilai percepatan tanah maksimum di lokasi tinjuan dengan periode ulang 500, 2.500, dan 10.000 tahun sebesar 0,22 g; 0,35 g dan 0,52 g. Hasil dari proses deagregasi menunjukkan besaran dan jarak gempa yang paling berpengaruh terhadap Bendungan Wadaslintang sebesar 6,87 – 7,13 Mw dan jarak 0-33 km. Hasil pencarian <em>ground motion, </em>didapatkan bahwa Gempa Irpinia, Italia (1980) mempunyai kriteria yang sama dengan lokasi tinjuan sesuai hasil deagregasi.  </p>


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