PSO-XGBoost-Based Method for In Situ Stress Inversion

To address the limited in situ stress data and poor nonlinear fitting of existing methods, a Particle Swarm Optimization (PSO)–XGBoost inversion approach is proposed. XGBoost effectively models complex relationships between finite element results and measured stresses, leveraging its strong nonlinea...

Full description

Bibliographic Details

Main Authors:	Shuo Tian, Jian Wang
Format:	Article
Language:	English
Published:	MDPI AG 2026-03-01
Series:	Applied Sciences
Subjects:	initial in situ stress inversion finite element analysis machine learning XGBoost PSO parameter optimization
Online Access:	https://doi.org/10.3390/app16073268 https://www.mdpi.com/2076-3417/16/7/3268
Tags:	Add Tag No Tags, Be the first to tag this record!