Soft computing-based models for the prediction of masonry compressive strength

Panagiotis G. Asteris,Paulo B. Lourenço,Mohsen Hajihassani,Chrissy-Elpida N. Adami,Minas E. Lemonis,Athanasia D. Skentou,Rui Marques,Hoang Nguyen,Hugo Rodrigues,Humberto Varum

Engineering Structures（2021）

引用 58|浏览4

暂无评分

摘要

•Two soft computing models are developed for the estimation of masonry compressive strength.•The unit and mortar strengths and the height to thickness ratio have been found as main influencing parameters.•Proposed ANN model proves quite more accurate compared to existing codes and literature models.•A database of 410 individual specimens has been compiled for the development and evaluation of the models.

查看译文

关键词

Artificial neural networks,Genetic programming,Machine learning,Masonry,Metaheuristic algorithms,Compressive strength

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要