A majorized Newton-CG augmented Lagrangian-based finite element method for 3D restoration of geological models

التفاصيل البيبلوغرافية
العنوان: A majorized Newton-CG augmented Lagrangian-based finite element method for 3D restoration of geological models
المؤلفون: Xiaoxia Dai, Peipei Tang, Chengjing Wang
المصدر: Computers & Geosciences. 89:200-206
بيانات النشر: Elsevier BV, 2016.
سنة النشر: 2016
مصطلحات موضوعية: Mathematical optimization, Optimization problem, Discretization, Frictionless contact, Augmented Lagrangian method, Efficient algorithm, Constrained optimization, 010103 numerical & computational mathematics, 010502 geochemistry & geophysics, 01 natural sciences, Finite element method, symbols.namesake, Lagrangian relaxation, symbols, 0101 mathematics, Computers in Earth Sciences, 0105 earth and related environmental sciences, Information Systems, Mathematics
الوصف: In this paper, we propose a majorized Newton-CG augmented Lagrangian-based finite element method for 3D elastic frictionless contact problems. In this scheme, we discretize the restoration problem via the finite element method and reformulate it to a constrained optimization problem. Then we apply the majorized Newton-CG augmented Lagrangian method to solve the optimization problem, which is very suitable for the ill-conditioned case. Numerical results demonstrate that the proposed method is a very efficient algorithm for various large-scale 3D restorations of geological models, especially for the restoration of geological models with complicated faults. The 3D restoration problem is reformulated to a constrained optimization problem.We apply the majorized Newton-CG augmented Lagrangian method to solve the problem.This approach can be used to solve large-scale 3D restorations of geological models.Numerical results show the efficiency of the cases with complicated faults.
تدمد: 0098-3004
DOI: 10.1016/j.cageo.2016.01.013
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::5e61f888dc29575ab0d89fc66f15743f
https://doi.org/10.1016/j.cageo.2016.01.013
Rights: CLOSED
رقم الانضمام: edsair.doi...........5e61f888dc29575ab0d89fc66f15743f
قاعدة البيانات: OpenAIRE
الوصف
تدمد:00983004
DOI:10.1016/j.cageo.2016.01.013