Title |
Seismic Hazard Analysis for Proposed Smart City, Ludhiana, India: A Deterministic Approach |
ID_Doc |
38921 |
Authors |
Naval, S; Chandan, K; Sharma, D |
Title |
Seismic Hazard Analysis for Proposed Smart City, Ludhiana, India: A Deterministic Approach |
Year |
2018 |
Published |
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DOI |
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Abstract |
The city of Ludhiana (Manchester of India) is in a phase of rapid development as it has been proposed as one of the smart cities of Northern India. Seismic activities in this part of the country are increasing. In the present study, deterministic seismic hazard analysis (DSHA) of proposed smart city, Ludhiana, has been carried out. Seven tectonic features have been identified as potential seismogenic sources. Each seismogenic source has been assigned a maximum magnitude considering the regional rupture character. For this purpose, seismic data for a period of 525 years has been collected from Indian Meteorological Department (IMD), Delhi, and earthquake catalogue has been compiled for the study region. Ground motion prediction equation (GAVE) developed for Indo-Gangetic region by National Disaster Management Authority (NDMA) of India has been used to assess the hazard. The peak ground acceleration (PGA) values are estimated by considering a grid of 0.025 degrees X0.025 degrees covering the Ludhiana region. Deterministic response spectra has also been developed for 5 major sites of Ludhiana region. Maximum PGA value (PGA(max)) of 0.392 g for the study region has been estimated from the study and is found to be on higher side as compared to the IS code of practice. The study is very significant keeping in view resilient structures for upcoming smart cities of India. |
Author Keywords |
Deterministic Seismic Hazard Analysis; Peak Ground Acceleration; Seismogenic Source |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science & Humanities (CPCI-SSH) |
EID |
WOS:000467129900057 |
WoS Category |
Development Studies; Green & Sustainable Science & Technology; Engineering, Civil; Urban Studies |
Research Area |
Development Studies; Science & Technology - Other Topics; Engineering; Urban Studies |
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