Numerically predicting seismic drift of multi-storied buildings considering impact of mat by equivalent static method based on BNBC 2020

作     者：Haque, Md. Foisal 

作者机构：Department of Civil Engineering International University of Business Agriculture and Technology Dhaka 1230 Bangladesh Structural and Geotechnical Expert GS Research & Design Dhaka 1230 Bangladesh 

出 版 物：《Progress in Engineering Science》 (Prog. Eng. Sci.)

年 卷 期：2025年第2卷第1期

主　　题：Bangladesh National Building Code 2020 Equivalent Static Procedure Field Investigations Finite Element-Based Software ETABS v. 18.1.1 Seismic Inter-Storey Drift 

摘      要：The failure of mat-founded building structure is influenced by the inter-storey drift variation during seismic excitation. For this reason, this research evaluates the nature and shape of the inter-storey drift variations of 6 and 9-storied reinforced concrete moment resisting frames by changing the mat thicknesses from the linear elastic numerical analysis by using ETABS v. 18.1.1. This finding is the new insight in this research. Several variable parameters are involved for the drift variations such as seismic zone coefficients, site classes, brick partition wall thicknesses, and response reduction factors. Field investigations at four Cities in Bangladesh have been conducted to select the site class for calculating the base shear coefficient by equivalent static procedure. The mat with sand is acted as spring that is connected to the base of the each column of the building structure. The nature and shape of the drift variation is found to be almost constant and straight according to the numerical analysis results. The validated inter-storey drift ratio is found to be (0.79–2.22) %, which may indicate a good accuracy of numerical analysis. The ranges of drift variations for 6 and 9-storied building structures are found to be (2.25–12.40) % and (2.44–17.13) %, respectively. However, this research can be extended in future by incorporating variable mat sizes, multi-layered soil, nonlinear analysis etc. © 2024 Elsevier B.V.