Neural network based hybrid ground motion prediction equations for Western Himalayas and North Eastern India

• Autorzy: Dhanya J. , Raghukanth S. T. G.

Identyfikatory

DOI

10.1007/s11600-019-00395-y

• Języki publikacji: EN

Abstrakty

EN

This work aims at developing a hybrid ground motion prediction equation (GMPE) for spectral acceleration in Western Himalayas and North-Eastern India. The GMPE is derived using an efcient nonparametric modelling based on neural network algorithm. In this study, owing to sparsity in the recorded ground motions (498 recordings) for the region, the available information is combined with 13,294 records from the well-tested NGA-West 2 database. For the methodology adopted in the study, regional fags are assigned to the records. Thus, given a magnitude, distance, shear wave velocity, fault type and region, the model is able to predict the possible spectral acceleration. The developed GMPE is observed to be unbiased with respect to region. Further, the inter- and intra-event standard deviations are also in acceptable ranges. It is observed that developed GMPE for Western Himalayas and North-Eastern India is able to capture all the known ground motion characteristics. Additionally, the GMPE is compared with the existing GMPE for rock-type soil condition available for the Western Himalayas and North-Eastern India. Furthermore, applicability of the developed GMPE model in estimating hazard is analysed by obtaining the uniform hazard response spectra for Delhi and Guwahati.

Słowa kluczowe

EN

Western Himalayas; North-Eastern India; GMPE; hybrid ANN

PL

Himalaje Zachodnie; Indie północno-wschodnie; GMPE

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2020
• Tom: Vol. 68, no. 2
• Strony: 303--324
• Opis fizyczny: Bibliogr. 29 poz.

Twórcy

autor

Dhanya J.

• Indian Institute of Technology Madras Chennai, Chennai, Tamil Nadu, India

autor

Raghukanth S. T. G.

• Indian Institute of Technology Madras Chennai, Chennai, Tamil Nadu, India

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021)