4 papers
Physics-informed extreme learning machine for Terzaghi consolidation problems and interpretation of coefficient of consolidation based on CPTu data
He Yang, Pin-Qiang Mo, Fei Ren +3
This paper conducts a preliminary study to investigate the feasibility of a physics-informed extreme learning machine (PIELM) for solving the Terzaghi consolidation equation and in…
Physics-Informed Extreme Learning Machine (PIELM): Opportunities and Challenges
He Yang, Fei Ren, Francesco Calabro +3
We are delighted to see the recent development of physics-informed extreme learning machine (PIELM) for its higher computational efficiency and accuracy compared to other physics-i…
General Fourier Feature Physics-Informed Extreme Learning Machine (GFF-PIELM) for High-Frequency PDEs
Fei Ren, Sifan Wang, Pei-Zhi Zhuang +2
Conventional physics-informed extreme learning machine (PIELM) often faces challenges in solving partial differential equations (PDEs) involving high-frequency and variable-frequen…
Cylindrical cavity expansion analysis under partially drained conditions for normalisation of excess water pressure in CPTU
He Yang, Pei-Zhi Zhuang, Hai-Sui Yu +4
Cone tip resistance and excess water pressure (EWP) measured by piezocone penetration tests (CPTU) may be significantly affected by the partially drained effect in soils with inter…