Determination of Buildings With Torsional Irregularity by Artificial Intelligence Methods
نویسندگان
چکیده
Reinforced Concrete (RC) frame buildings with shear wall are widely used in severe seismic zones. Shear walls bearing system elements that provide the greatest resistance against hori-zontal force under effect of earthquake, limit displacements, and prevent torsions. A re-inforced concrete is one most critical structural members buildings, terms carrying lateral loads. However, irregular layouts cause torsional irregularity buildings. For this purpose, different reinforced building models designed. The model have a regular formwork plan. layout has variations each These structure plans were mainly classified into two classes according to their tor-sional irregularities as structures Structures non-torsional ir-regularities. Artificial intelligence (AI) revolutionized industries such healthcare, agricul-ture, transportation, education, well variety engineering problems. Arti-ficial transforming decision-making easier reshaping design process-es be smarter automated. technology learning from an existing knowledge base automate various civil applications compressive strength estimation concrete, project pre-cost duration, health monitoring, crack detection, more. In study, it aimed determine irregulari-ty using artificial methods. Besides, study expected introduce demon-strate capability intelligence-based frameworks for future relevant studies within irregularities.
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ژورنال
عنوان ژورنال: International journal of 3d printing technologies and digital industry
سال: 2022
ISSN: ['2602-3350']
DOI: https://doi.org/10.46519/ij3dptdi.1138781