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Research Article

Sensitivity indices of RC beams considering construction sequence analysis for RC high-rise building

Nehal Mahadevbhai Desai, Sandip Vasanwala

Department of Civil Engineering, SVNIT, India

Keywords

Abstract





Construction sequence method of analysis;


Sensitivity index;


Bending moment;


Time-dependent properties of concrete

Construction Sequence Analysis (CSA) is a technique that simulates real-time onsite construction procedures like timing, sequential loading, and construction sequence. This study compares the bending moment at various sections of beams using the CSA- Construction Sequence Analysis and LSA-Linear Static Analysis methods. Four 40-storeyed RC buildings of different spans are studied to consider the long-term effect of concrete properties like creep and shrinkage. The effects for 30 years from the application of live load in the CSA methods were analysed. It is essential to know the sensitivity of a beam for bending moments concerning the CSA method compared to the LSA method. Knowing how the sensitivity of beams varies concerning span in RC buildings is essential. The study divides beams into five different sensitivity categories. According to the study, the LSA approach provides 3.6% higher to 70.24% lower, 42.29% higher to 111.49% lower, and 17% higher to 44% lower left-end support, right-end support, and mid-span moments, respectively, than the CSA method in beams of normal categories. The study also concluded that RC shear walls increase the sensitivity of surrounding beams. These beams are categorized into the most vulnerable categories among all, and these categories seem absent in a plan without RC walls. The study concludes that it is advisable to adopt the CSA method with time-dependent effects of concrete when designing RC moment frame high-rise buildings. The analysis is done using MIDAS Gen-17 software.

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01/01/2024 Best Paper Award: The winners of 2023 Best Paper Award of Research on Engineering Structures and Materials (RESM) are announced. More information can be found at Author Awards section.


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2023 Reviewer Awards:

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2023 Best Paper Award:

The paper authored by Ferzan Fidan, Naim Aslan, Mümin Mehmet Koç entitled as “Morpho-structural and compressive mechanical properties of graphene oxide reinforced hydroxyapatite scaffolds for bone tissue applications” is awarded.



2023 Most Cited Paper Award:

The paper authored by Ercan Işık, Ehsan Harirchian, Hüseyin Bilgin, Kirti Jadhav entitled as “The effect of material strength and discontinuity in RC structures according to different site-specific design spectra" is awarded.


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