Work

Bayesian-Optimized Physics-Informed Deep Autoencoders for Efficient Calibration of Geotechnical Constitutive Models: A NorSand Case Study

Year: 2025

Type: article

Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering

DOI: 10.1061/ajrua6.rueng-1616

Authors: Luan Carlos de Sena Monteiro Ozelim, Michéle Dal Toé Casagrande, André Luís Brasil Cavalcante, Chong Tang

Institutions: Universidade de Brasília, Dalian University of Technology

Language: English

Topic: Geotechnical Engineering and Soil Mechanics

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4413629744

FWCI: 1.124

Cites: 39

Cited by: 3

Related to: 10