scholarly journals A regularization strategy for modeling mixed-sediment river morphodynamics

2019 ◽  
Vol 127 ◽  
pp. 291-309 ◽  
Author(s):  
Víctor Chavarrías ◽  
Guglielmo Stecca ◽  
Annunziato Siviglia ◽  
Astrid Blom
Keyword(s):  
Mixed Sediment ◽  
Regularization Strategy

scholarly journals Ill-posedness in modeling mixed sediment river morphodynamics

2018 ◽  
Vol 114 ◽  
pp. 219-235 ◽  
Author(s):  
Víctor Chavarrías ◽  
Guglielmo Stecca ◽  
Astrid Blom
Keyword(s):  
Mixed Sediment

Depth of activation on a mixed sediment beach

2009 ◽  
Vol 56 (7) ◽  
pp. 788-791 ◽  
Author(s):  
Sherestha Saini ◽  
Nancy L. Jackson ◽  
Karl F. Nordstrom
Keyword(s):  
Mixed Sediment

Management of Mixed Sediment Beaches

2003 ◽  
pp. 289-299
Author(s):  
B. López De San Román-Blanc ◽  
J. S. Damgaard ◽  
T. T. Coates ◽  
P. Holmes
Keyword(s):  
Mixed Sediment

Generalized inverse beamforming with optimized regularization strategy

2011 ◽  
Vol 25 (3) ◽  
pp. 928-939 ◽  
Author(s):  
P.A.G. Zavala ◽  
W. De Roeck ◽  
K. Janssens ◽  
J.R.F. Arruda ◽  
P. Sas ◽  
...  
Keyword(s):  
Generalized Inverse ◽  
Regularization Strategy

Force identification under unknown initial conditions by using concomitant mapping matrix and sparse regularization

2020 ◽  
pp. 107754632094469
Author(s):  
Xijun Ye ◽  
Chudong Pan
Keyword(s):  
Optimization Problem ◽  
Initial Conditions ◽  
Sparse Regularization ◽  
Force Identification ◽  
Moving Force ◽  
Dynamic Forces ◽  
Force Reconstruction ◽  
Structural Responses ◽  
One Step ◽  
Regularization Strategy

Unknown initial conditions can affect the identified accuracy of dynamic forces. Direct measurement of initial conditions is relatively difficult. This study proposes a sparse regularization–based method for identifying forces considering influences of unknown initial conditions. The initial conditions are embedded in a classical governing equation of force identification. The key idea is to introduce a concept of concomitant mapping matrix for reasonably expressing the initial conditions. First, a dictionary is introduced for expanding the dynamic forces. Then, the concomitant mapping matrix is formulated by using free vibrating responses, which correspond to structural responses happening after the structure is subjected to each atom of the force dictionary. A sparse regularization strategy is applied for solving the ill-conditioned equation. After that, the problem of force identification is converted into an optimization problem, and it can be solved by using a one-step strategy. Numerical simulations are carried out for verifying the feasibility and effectiveness of the proposed method. Illustrated results clearly show the applicability and robustness of the proposed method for dealing with force reconstruction and moving force identification.

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