Inverse analysis for parameter estimation of sandy soil with axially loaded pile using nonlinear programming

Sadhana ◽  
2021 ◽  
Vol 47 (1) ◽  
Author(s):  
Shantanu Hati ◽  
Sarat Kumar Panda ◽  
Lohitkumar Nainegali
Keyword(s):  
Parameter Estimation ◽  
Nonlinear Programming ◽  
Sandy Soil ◽  
Inverse Analysis ◽  
Axially Loaded

scholarly journals Estimation of Functional Form of Time-Dependent Heat Transfer Coefficient Using an Accurate and Robust Parameter Estimation Approach: An Inverse Analysis

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 5073
Author(s):  
Farzad Mohebbi ◽  
Mathieu Sellier
Keyword(s):  
Heat Transfer ◽  
Parameter Estimation ◽  
Heat Transfer Coefficient ◽  
Transfer Coefficient ◽  
Inverse Analysis ◽  
Functional Form ◽  
Transfer Problem ◽  
Function Estimation ◽  
Inverse Heat Transfer ◽  
Inverse Heat Transfer Problem

This paper presents a numerical method to address function estimation problems in inverse heat transfer problems using parameter estimation approach without prior information on the functional form of the variable to be estimated. Using an inverse analysis, the functional form of a time-dependent heat transfer coefficient is estimated efficiently and accurately. The functional form of the heat transfer coefficient is assumed unknown and the inverse heat transfer problem should be treated using a function estimation approach by solving sensitivity and adjoint problems during the minimization process. Based on proposing a new sensitivity matrix, however, the functional form can be estimated in an accurate and very efficient manner using a parameter estimation approach without the need for solving the sensitivity and adjoint problems and imposing extra computational cost, mathematical complexity, and implementation efforts. In the proposed sensitivity analysis scheme, all sensitivity coefficients can be computed in only one direct problem solution at each iteration. In this inverse heat transfer problem, the body shape is irregular and meshed using a body-fitted grid generation method. The direct heat conduction problem is solved using the finite-difference method. The steepest-descent method is used as a minimization algorithm to minimize the defined objective function and the termination of the minimization process is carried out based on the discrepancy principle. A test case with three different functional forms and two different measurement errors is considered to show the accuracy and efficiency of the used inverse analysis.

An Inverse Analysis for Parameter Estimation Applied to a Non-Fourier Conduction–Radiation Problem

2011 ◽  
Vol 32 (6) ◽  
pp. 455-466 ◽  
Author(s):  
Ranjan Das ◽  
Subhash C. Mishra ◽  
T. B. Pavan Kumar ◽  
Ramgopal Uppaluri
Keyword(s):  
Parameter Estimation ◽  
Inverse Analysis ◽  
Radiation Problem

Multiobjective parameter estimation of hydraulic properties for a sandy soil in Oman

2014 ◽  
Vol 72 (12) ◽  
pp. 4935-4956 ◽  
Author(s):  
S. Werisch ◽  
J. Grundmann ◽  
H. Al-Dhuhli ◽  
E. Algharibi ◽  
F. Lennartz
Keyword(s):  
Parameter Estimation ◽  
Sandy Soil ◽  
Hydraulic Properties

Laboratory longitudinal diffusion tests: 2. Parameter estimation by inverse analysis

2008 ◽  
Vol 97 (3-4) ◽  
pp. 100-116 ◽  
Author(s):  
M. Takeda ◽  
M. Zhang ◽  
H. Nakajima ◽  
T. Hiratsuka
Keyword(s):  
Parameter Estimation ◽  
Inverse Analysis ◽  
Longitudinal Diffusion
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