首页> 外文会议>ASCE India conference >Seismic Hazard Analysis for Proposed Smart City, Ludhiana, India: A Deterministic Approach
【24h】

Seismic Hazard Analysis for Proposed Smart City, Ludhiana, India: A Deterministic Approach

机译:印度卢迪亚纳拟建智能城市的地震危险性分析:确定性方法

获取原文

摘要

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 (GMPE) 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°x0.025° 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.
机译:卢迪亚纳市(印度曼彻斯特)正处于快速发展阶段,因为有人提议将其作为印度北部的智慧城市之一。该国该地区的地震活动正在增加。在本研究中,已对拟建的智慧城市卢迪亚纳进行了确定性地震灾害分析(DSHA)。七个构造特征已被确定为潜在的震源。考虑到区域破裂特征,已将每个震源指定为最大震级。为此,已从德里的印度气象局(IMD)收集了525年的地震数据,并为该研究区域编制了地震目录。印度国家灾害管理局(NDMA)为印度恒河地区开发的地震动预测方程(GMPE)已用于评估灾害。通过考虑覆盖卢迪亚纳地区的0.025°x0.025°的网格来估算地面加速度峰值(PGA)值。还确定了卢迪亚纳地区的5个主要地点的确定性反应谱。根据研究估计,研究区域的最大PGA值(PGA_(max))为0.392 g,与IS实施规范相比,发现其最大偏高。这项研究对于为印度即将到来的智慧城市保持弹性结构具有重要意义。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号