Journal of Structural Engineering and Management

This paper presents a substantially reworked Indian-context evaluation of fire protection systems in a 14-building high-rise sample from Indore. The study reuses the original field dataset but replaces the earlier code mix with an explicitly IS-aligned and NBC-oriented analytical framework. Physical observation, document review and interview inputs were screened against requirements related to means of egress, compartmentation, fire detection and alarm, hydrants and hose reels, extinguishers, emergency lighting, smoke control, brigade access, sprinkler protection and inclusive evacuation.

Wind load is one of the most critical factors influencing the design and serviceability of high-rise reinforced concrete (RCC) buildings. As building height increases, wind-induced effects such as storey drift, lateral displacement, and structural stiffness become dominant design considerations. Numerous studies have been conducted using conventional and advanced techniques such as Finite Element Method (FEM), Computational Fluid Dynamics (CFD), and Building Information Modelling (BIM).

The increasing demand for high-rise structures due to rapid urbanization necessitates the adoption of efficient lateral load-resisting systems to ensure structural safety, stability, and serviceability. This study presents a comparative evaluation of the seismic and wind performance of a Ground plus Fifty-storey high-rise building with an octagonal plan, incorporating different structural configurations such as shear wall arrangements and a diagrid system.

The structural analysis and design of multi-story residential buildings have become more complex
because cities continue to grow while safety requirements become more demanding and building codes
establish stricter requirements. The traditional methods of structural analysis worked through manual
execution which required extended periods to complete and suffered from computational errors that
primarily affected indeterminate structures and lateral loading conditions.

Artificial Intelligence refers to the capacity of a machine or a computer to ‘think’ or reason in the
way a human would, utilizing experience, learned facts, and flexible rules to solve problems which
may not fit the standard outlines for a normal algorithm. From this follows the utilization of AI in
various sectors, such as the IT industry, media, healthcare and medicine, logistics, environmental
sustainability, finance, Business and even judicial systems.

Construction and demolition waste, especially ceramic and concrete debris, is a byproduct that has
been increasingly amassed over time and causes environmental pollutants. Valorising these wastes as
raw materials to produce sustainable construction materials represents an alternative option to
minimise waste, conserve resources and reduce CO2 emissions.