Karaca, HakanAydin, ErsinSevercan, Metin Hakan2024-11-072024-11-0720231300-18841304-4915https://doi.org/10.17341/gazimmfd.1071722https://search.trdizin.gov.tr/tr/yayin/detay/1197881https://hdl.handle.net/11480/14187The approximate prediction of lateral performance of buildings without any analytical study requires quite a lot of knowledge and experience in the field for an engineer and an architect as well. An algorithm is required to enhance the mentioned predictions that mostly rely on the knowledge and experience. In this context, in order to quantify the degree of irregularity in framing of the structure in plan column density maps are developed, and thanking to the developed quantification method, the derivation of the relationship between the degree of irregularity and the maximum global roof drift of the structure is aimed. Knowing that the degree of irregularity has a negative impact on the lateral performance, in order to derive the relationship between the two, a regular structure is designed and 16 irregular models based on the regular model are developed. Linear response spectrum analysis and non-linear pushover analysis are conducted to obtain the global drifts and based shears. For linear analysis, the fundamental periods of vibration, mass participation ratio and eccentricity are monitored, while in non-linear analysis the global drifts are monitored. Shortly, the quantification of the irregularity in plan, is a novel approach which a potential to strengthen the hands of the designers, engineers and architects, also could be treated an evaluation tool as an improved global drift and lateral performance prediction method.eninfo:eu-repo/semantics/openAccessGlobal driftlateral performanceirregularity in plansimilarity ratiocolumn density mapA new approach in understanding the influence of irregular framing over the lateral drift in reinforced concrete structuresBetonarme binalarda düzensiz çerçeveleşmenin yanal ötelemeye etkilerini bulmak için yeni bir yaklaşımArticle3842291230010.17341/gazimmfd.10717222-s2.0-85156275016Q21197881WOS:000974876000025Q3