Behavioral Study of Redundancy in Steel and RCC frames

Authors

  • Nazmul Bin Hussin Faculty of Faculty of Engineering, City University, Kuala Lumpur, Malaysia
  • Maishara Binti Ibrahim Faculty of Faculty of Engineering, City University, Kuala Lumpur, Malaysia

DOI:

https://doi.org/10.53273/4w1fq078

Abstract

ABSTRACT: This paper describes the seismic analysis of steel and RCC 2D frames with and without masonry infill walls. The Seven storied frame with different number of bays is analyses. Different results of Time period, Base shear and displacement were obtained using software. It is observed that providing brick infill indicates considerable and acceptable effects as compared to bare frames and it was found that infill wall reduces the time period, displacement for steel as well as RCC frames. Masonry infill walls are found in most existing steel frame building systems. The masonry infill walls which are constructed after completion of steel frames are considered as non-structural elements. Although they are designed to perform architectural functions, masonry infill walls do resist lateral forces with substantial structural action. In addition to this, infill walls have a considerable strength and stiffness and they have significant effect on the seismic response of the structural system. There is a general agreement among of the researchers that infill frames have greater strength as compared to frames without infill walls. The presence of the infill walls increases the lateral stiffness considerably. Due to the change in stiffness and mass of the structural system, the dynamic characteristics change as well. In conventional analysis of infill frame systems, the masonry infill wall may be modeled using an equivalent strut model

Keywords:

Seismic analysis, Masonry infill walls, STAAD

References

Rahman, M. K., Hossain, M. A., Ismail, N. A., Hossen, M. S., & Sultana, M. (2025). Determinants of

students’ adoption of AI chatbots in higher education: the moderating role of tech readiness. Interactive Technology and Smart Education.

Rahman, M. K., Ismail, N. A., Hossain, M. A., & Hossen, M. S. (2025). Students’ mindset to adopt AI

chatbots for effectiveness of online learning in higher education. Future Business Journal, 11(1), 30.

Budlender, D. (2002). ‘Gender Budgets: What’s in it for NGOs?’, Gender and Development, vol. 10, no.

3, pp. 82-87.

Barnett, K. and Grown, C. (2004). ‘Gender Impacts of Government Revenue Collection: The Case of

Taxation’, Commonwealth Secretariat, London.

Duggal, “Earthquake resistant design of structures.” Prentice Hall, New Delhi.

Chorng-Jyh Tzeng, Yu-Hsin Lin, Yung-Kuang Yanga, Ming-Chang Jeng, “Optimization of turning.

operations with multiple performance characteristics using the Taguchi method and Grey relational analysis.

Tadros, M. (2011). ‘Women Engaging Politically: Beyond Magic Bullets and Motorways’, Pathways

Policy Paper, Pathways of Women’s Empowerment RPC, Brighton.

Hossen, M. S., & Pauzi, H. M. (2025b). Synthesis of Psychological Wellbeing of the Elderly Individuals

Literature Using Bibliometric Analysis. Pertanika Journal of Social Sciences & Humanities, 33(3).

Hossen, M. S., & Rezvi, A. (2021). Impact of Covid-19 Pandemic on Mental Health among Bangladeshi

Senior Citizens: A Cross-Sectional Study. CRRD QUALITY INDEX RESEARCH JOURNAL, 2(3), 22–33.

Hossen, M. S., & Salleh, S. F. B. (2024). Social influences on the psychological well-being of elderly

individuals. Journal of Humanities and Applied Social Sciences.

Downloads

Published

2025-10-03

How to Cite

Behavioral Study of Redundancy in Steel and RCC frames. (2025). Journal of Content Validation, 1(1), 137-143. https://doi.org/10.53273/4w1fq078