A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Building information modeling for predicting seismic demand and energy consumption
https://orcid.org/http://orcid.org/0000-0001-7353-4474
The performance assessment of multi-storey RC buildings under seismic excitation is vital to understanding their vibration behavior and the vulnerable effects on the structural elements. Similarly, energy analysis has emerged as a critical parameter in building design and is increasingly gaining significance amidst the escalating threats of energy crises and global warming. This study emphasizes the seismic demand and energy analysis of an institutional hostel building structure of a 1063m2 area. A 3-D concrete structure is modeled in the Staad Program to investigate the structural responsiveness under gravity and lateral forces. The responses like base shear, time period, maximum shear force, and bending moments are predicted. Sensitivity analysis considering zone and soil-type effects is performed to investigate their influence on the seismic response. It can be disclosed that the peak base shear, storey drift, and lateral displacements are induced under soft-soil conditions and zone five. Later, the building’s energy performance was predicted by integrating the Autodesk Green Building Studio (GBS) plugin with the Rivet software. Energy optimization is attained by adjusting the window-wall ratio (WWR), the percentage of window shades, the utilization of occupancy and daylight sensor appliances, and altering the building orientation at ± 15° intervals. The maximum energy intensity of 1023 MJ/m2/year occurs at a − 90° rotation relative to the true north whereas, the optimized orientation aligns precisely with the true north direction. The HVAC system consumes maximum electricity energy of 58.40% and others 45.2%, whereas, in contrast, HVAC becomes 3.3% and 96.7% for fuel energy, respectively.
Building information modeling for predicting seismic demand and energy consumption
https://orcid.org/http://orcid.org/0000-0001-7353-4474
The performance assessment of multi-storey RC buildings under seismic excitation is vital to understanding their vibration behavior and the vulnerable effects on the structural elements. Similarly, energy analysis has emerged as a critical parameter in building design and is increasingly gaining significance amidst the escalating threats of energy crises and global warming. This study emphasizes the seismic demand and energy analysis of an institutional hostel building structure of a 1063m2 area. A 3-D concrete structure is modeled in the Staad Program to investigate the structural responsiveness under gravity and lateral forces. The responses like base shear, time period, maximum shear force, and bending moments are predicted. Sensitivity analysis considering zone and soil-type effects is performed to investigate their influence on the seismic response. It can be disclosed that the peak base shear, storey drift, and lateral displacements are induced under soft-soil conditions and zone five. Later, the building’s energy performance was predicted by integrating the Autodesk Green Building Studio (GBS) plugin with the Rivet software. Energy optimization is attained by adjusting the window-wall ratio (WWR), the percentage of window shades, the utilization of occupancy and daylight sensor appliances, and altering the building orientation at ± 15° intervals. The maximum energy intensity of 1023 MJ/m2/year occurs at a − 90° rotation relative to the true north whereas, the optimized orientation aligns precisely with the true north direction. The HVAC system consumes maximum electricity energy of 58.40% and others 45.2%, whereas, in contrast, HVAC becomes 3.3% and 96.7% for fuel energy, respectively.
Building information modeling for predicting seismic demand and energy consumption
https://orcid.org/http://orcid.org/0000-0001-7353-4474
The performance assessment of multi-storey RC buildings under seismic excitation is vital to understanding their vibration behavior and the vulnerable effects on the structural elements. Similarly, energy analysis has emerged as a critical parameter in building design and is increasingly gaining significance amidst the escalating threats of energy crises and global warming. This study emphasizes the seismic demand and energy analysis of an institutional hostel building structure of a 1063m2 area. A 3-D concrete structure is modeled in the Staad Program to investigate the structural responsiveness under gravity and lateral forces. The responses like base shear, time period, maximum shear force, and bending moments are predicted. Sensitivity analysis considering zone and soil-type effects is performed to investigate their influence on the seismic response. It can be disclosed that the peak base shear, storey drift, and lateral displacements are induced under soft-soil conditions and zone five. Later, the building’s energy performance was predicted by integrating the Autodesk Green Building Studio (GBS) plugin with the Rivet software. Energy optimization is attained by adjusting the window-wall ratio (WWR), the percentage of window shades, the utilization of occupancy and daylight sensor appliances, and altering the building orientation at ± 15° intervals. The maximum energy intensity of 1023 MJ/m2/year occurs at a − 90° rotation relative to the true north whereas, the optimized orientation aligns precisely with the true north direction. The HVAC system consumes maximum electricity energy of 58.40% and others 45.2%, whereas, in contrast, HVAC becomes 3.3% and 96.7% for fuel energy, respectively.
Building information modeling for predicting seismic demand and energy consumption
Asian J Civ Eng
Pandimani (author) / Raviteja, Y. (author) / Bilgates, P. (author) / Krishna, S. H. Vamsi (author)
Asian Journal of Civil Engineering ; 26 ; 1565-1582
2025-04-01
18 pages
Article (Journal)
Electronic Resource
English
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