Bayesian sparse regularization for multiple force identification and location in time domain-Reference-Cited by-同舟云学术

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Bayesian sparse regularization for multiple force identification and location in time domain

Published:2018-08-21 Issue:9 Volume:27 Page:1221-1262
ISSN:1741-5977
Container-title:Inverse Problems in Science and Engineering
language:en
Short-container-title:Inverse Problems in Science and Engineering

Author:

Samagassi Souleymane¹,Jacquelin Eric²³⁴^ORCID,Khamlichi Abdellatif¹,Sylla Moussa⁵

Affiliation:

1. Communication Systems and Detection Laboratory, Faculty of Sciences at Tetouan, Tetouan, Morocco

2. Université de Lyon, Lyon, France

3. Université Claude Bernard Lyon 1, Villeurbanne, France

4. IFSTTAR,UMR-T9406, LBMC Laboratoire de Biomécanique et Mécanique des chocs, Bron, France

5. Laboratoire de Mécanique et Energetique UFR Mathématique et Informatique, Université Félix Houphouet Boigny de Cocody, Abidjan, Ivory Coast

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computer Science Applications,General Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/17415977.2018.1505883

Reference52 articles.

1. An Updated Comparison of the Force Reconstruction Methods

2. Identification of coexistent load and damage

3. Time and Frequency Domains Iterative Regularization for Inverse Analysis of an Instrumented One-Point Bend Specimen

4. Simultaneous identification of excitation time histories and parametrized structural damages

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