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Abstract
Severe failure of improperly designed and poorly constructed structures may occur due to the amplified and prolonged ground motion during an earthquake, and hence prediction of the ground motion characteristics at the soil surface is crucial. In this study, based on the prepared simplified engineering geomorphic map, we performed a one-dimensional (1D) nonlinear site response analysis for seismic site characterization of the recently proposed Detailed Area Plan (DAP) area of Dhaka City, the Capital of Bangladesh. The engineering geomorphic unit-based map was prepared from image analysis and verified with the collected borehole data and surface geology map. The study area was classified into three major geomorphic units and seven sub-units subject to the subsurface soil profiles. Nine earthquake time histories, seven from the PEER NGA WEST2 data set and two synthetics, and seven identified subsurface soil profiles were used for nonlinear site response analysis, along with the BNBC 2020 uniform hazard spectrum as the target spectrum. For the selected earthquake ground motions, the near-surface soil response of the DAP area showed de-amplification of acceleration in the short period and amplification of acceleration in the long period. The amplified long-period acceleration could cause severe damage in inappropriately designed and poorly constructed long-period structures. The outcome of this study could be used to prepare a seismic risk-sensitive land use plan for the future development of the DAP of Dhaka City.
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1 The University of Tokyo, Institute of Industrial Science, Tokyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X); University of Dhaka, Department of Disaster Science and Climate Resilience, Dhaka, Bangladesh (GRID:grid.8198.8) (ISNI:0000 0001 1498 6059)
2 The University of Tokyo, Institute of Industrial Science, Tokyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X)
3 University of Barisal, Department of Coastal Studies and Disaster Management, Barisal, Bangladesh (GRID:grid.449801.0) (ISNI:0000 0004 4684 0267)
4 Asian Institute of Technology, Department of Civil and Infrastructure Engineering, Pathum Thani, Thailand (GRID:grid.418142.a) (ISNI:0000 0000 8861 2220)
5 University of Dhaka, Department of Disaster Science and Climate Resilience, Dhaka, Bangladesh (GRID:grid.8198.8) (ISNI:0000 0001 1498 6059)