The mechanical behaviour of the wall, in-situ wall tests and numerical analysis is required along with the material properties. With the support of smart learning techniques, the state of the walls was estimated. This makes it possible to obtain healthy data to support the experiment and modelling. The utilization of mathematical tools like Fuzzy Logic has been demonstrated to be beneficial in resolving intricate engineering issues, without the need to replicate the studied phenomenon, given that the only available information consists of the problem's parameters and desired outcomes. To analyse the wall's behaviour more accurately and quickly, analyses were made using the fuzzy method, one of the smart learning techniques, and compared with the data in the studies in which experimental analysis was applied. The behaviour of the wall, the flexibility and energy capacity were tried to be estimated. In the fuzzy, material parameters and wall load capacities that will affect the properties of the wall are used as inputs. Thirty-five (35) data sets, experiments and modelling data from different studies were taken. Estimation results were compared with empirical results.
The mechanical behaviour of the wall, in-situ wall tests and numerical analysis is required along with the material properties. With the support of smart learning techniques, the state of the walls was estimated. This makes it possible to obtain healthy data to support the experiment and modelling. The utilization of mathematical tools like Fuzzy Logic has been demonstrated to be beneficial in resolving intricate engineering issues, without the need to replicate the studied phenomenon, given that the only available information consists of the problem's parameters and desired outcomes. To analyse the wall's behaviour more accurately and quickly, analyses were made using the fuzzy method, one of the smart learning techniques, and compared with the data in the studies in which experimental analysis was applied. The behaviour of the wall, the flexibility and energy capacity were tried to be estimated. In the fuzzy, material parameters and wall load capacities that will affect the properties of the wall are used as inputs. Thirty-five (35) data sets, experiments and modelling data from different studies were taken. Estimation results were compared with empirical results.
Birincil Dil | İngilizce |
---|---|
Konular | Çevresel Olarak Sürdürülebilir Mühendislik, Elektrik Mühendisliği (Diğer) |
Bölüm | Araştırma Makalesi |
Yazarlar | |
Yayımlanma Tarihi | 31 Aralık 2023 |
Gönderilme Tarihi | 20 Aralık 2023 |
Kabul Tarihi | 31 Aralık 2023 |
Yayımlandığı Sayı | Yıl 2023 Cilt: 03 Sayı: 02 |