A Neural Network Inverse Optimization Procedure for Constitutive Parameter Identification and Failure Mode Estimation of Laterally Loaded Unreinforced Masonry Walls

A Neural Network Inverse Optimization Procedure for Constitutive Parameter Identification and Failure Mode Estimation of Laterally Loaded Unreinforced Masonry Walls

A new Neural Network Optimization (NNO) algorithm for constitutive material parameter identification based on inverse analysis of experimental tests of small-scale masonry prisms under compressive loads is presented. The Concrete Damaged Plasticity (CDP) constitutive model is used for the brick and...

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Bibliographic Details
Main Authors: Qudama Albu-Jasim, George Papazafeiropoulos
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:CivilEng
Subjects:
unreinforced masonry walls
artificial neural network
optimization
inverse problem
Online Access:https://www.mdpi.com/2673-4109/2/4/51

Internet

https://www.mdpi.com/2673-4109/2/4/51

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