A Generalized Iterative Approach to Improve Reduced-Order Model Accuracy for Inverse Problem Applications-Reference-Cited by-同舟云学术

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A Generalized Iterative Approach to Improve Reduced-Order Model Accuracy for Inverse Problem Applications

Published:2016-05 Issue:5 Volume:142 Page:04016020
ISSN:0733-9399
Container-title:Journal of Engineering Mechanics
language:en
Short-container-title:J. Eng. Mech.

Author:

Ahmadpoor Mohammad¹,Notghi Bahram²,Brigham John C.³

Affiliation:

1. Dept. of Civil and Environmental Engineering, Swanson School of Engineering, Univ. of Pittsburgh, Pittsburgh, PA 15261 (corresponding author).

2. Dept. of Mechanical Engineering, Johns Hopkins Univ., Baltimore, MD 1218.

3. Dept. of Civil and Environmental Engineering, Swanson School of Engineering, Univ. of Pittsburgh, Pittsburgh, PA 15261.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29EM.1943-7889.0001065

Reference63 articles.

1. A proper orthogonal decomposition approach to microstructure model reduction in Rodrigues space with applications to optimal control of microstructure-sensitive properties

2. Quantitative nondestructive evaluation

3. Boundary inverse heat conduction problem: algorithm and error analysis

4. On the elastic modulus degradation in continuum damage mechanics

5. An object-oriented framework for reduced-order models using proper orthogonal decomposition (POD)

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