|
|
|
|
|
Wencong Xu, Hongyi Lu, Lei Zhao and Borui He
In recent years, with the rapid development of computer technology and artificial intelligence design technology, multiple possible design solutions can be quickly generated by transforming the experience and knowledge of structural design into computer ...
ver más
|
|
|
|
|
|
|
|
|
Sunny Kumar Poguluri and Yoon Hyeok Bae
The incorporation of machine learning (ML) has yielded substantial benefits in detecting nonlinear patterns across a wide range of applications, including offshore engineering. Existing ML works, specifically supervised regression models, have not underg...
ver más
|
|
|
|
|
|
|
|
|
Fupeng Liu, Jiandong Ma, Zhongzhi Ye, Lijia Wang, Yu Sun, Jianxing Yu, Yuliang Qin, Dongliang Zhang, Wengang Cai and Hao Li
The reliability of liquefied natural gas (LNG) storage tanks is an important factor that must be considered in their structural design. Concrete is a core component of LNG storage tanks, and the geometric uncertainty of concrete aggregate material has a ...
ver más
|
|
|
|
|
|
|
|
|
Gustavo Rocha, Luís Mateus and Victor Ferreira
Building Information Modeling (BIM) has emerged as a revolutionary tool in the domain of architectural conservation and documentation. When combined with terrestrial 3D laser scanning, it presents a powerful method to capture and represent the intricate ...
ver más
|
|
|
|
|
|
|
|
|
Tatiane Souza Rodrigues Pereira, Thiago Pires de Carvalho, Thiago Augusto Mendes, Guilherme da Cruz dos Reis and Klebber Teodomiro Martins Formiga
Flow is a crucial variable in water resources, although its determination is challenging. Rating curves are standard but have conceptual limitations, leading to significantly high uncertainties. Hydrodynamic models offer a more precise alternative, but t...
ver más
|
|
|
|