SESMIC Performance and Retrofit for Yuvaraja's College: The Case Study.

Autor: Vijay, Manu, Ahmed, Shaik Kabeer, S. M., Naveen Kumar, P., Namitha A.
Předmět:
Zdroj: Grenze International Journal of Engineering & Technology (GIJET); Jun2024, Vol. 10 Issue 2,Part 6, p6700-6710, 11p
Abstrakt: More than 80% of the buildings in India are composed of masonry, 20% of which are significant historical structures. As one of the 90% of historical structures in Mysore, Yuvaraja's College, which is made of masonry and only meant to withstand static stresses, had its performance evaluated. Due to their very complicated behaviour under seismic loads, which is characterised by a combination of enormous shear pressures, diagonal tension, and high bond stresses in the columns, all of which are brittle modes of failure, beam column joints of masonry structures require special consideration. The behaviour of the masonry construction during seismic conditions is known. Sap 2000 has been used to analyse the study on the masonry structure of Yuvaraja's College, which is located in seismic Zone II and has G+ 1 storeys. Pushover analysis contains some approximations and simplifications; therefore, some fluctuation is always anticipated in the pushover analysis' seismic demand estimate. To get around some of the drawbacks of conventional pushover processes, certain enhanced pushover procedures have been put out in literature. With the aid of SAP 2000. This study highlights the main causes of the inadequate seismic performance of stone masonry buildings and offers solutions for improving seismic performance for existing structures. By putting the suggestions provided here into effect, the risk to occupants of no designed stone masonry buildings and their property can, in our opinion, be significantly reduced in the case of a future earthquake. This study will be useful to building specialists who want to understand more about this type of construction, whether for post-earthquake reconstruction or seismic mitigation. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index