Research output: Contribution to journal › Article › Scientific › peer-review

Abstract

This work presents a global reliable and systematic
methodology regularised output least
square method (ROLSM) to treat parameter identifcation
problems. Several applications of the
method to parameter identification in the problems of
fire technology are presented. Numerical
examples of heat transfer in insulated and bare metal
structures are presented. For each problem
one ordinary differential equation is derived from the
variational formulation of the general heat
conduction problem. As an example of the use of the
method to mechanical properties of metals
an identification of multiplicative viscoplasticity law
for aluminium alloy AA46063-T6 is illus-
trated. Since the inverse problem is usually ill-posed
regularization is needed. Both regularization
using mesh coarsing and Tikhonov-regularization
(penalized output least square method) are
used in order to get stabilized solution. The unknown
distributed parameters are discretized using
continuous piecewise linear basis functions.

title = "Parameter identification using ROLSM in problems of fire technology",

abstract = "This work presents a global reliable and systematic methodology regularised output least square method (ROLSM) to treat parameter identifcation problems. Several applications of the method to parameter identification in the problems of fire technology are presented. Numerical examples of heat transfer in insulated and bare metal structures are presented. For each problem one ordinary differential equation is derived from the variational formulation of the general heat conduction problem. As an example of the use of the method to mechanical properties of metals an identification of multiplicative viscoplasticity law for aluminium alloy AA46063-T6 is illus- trated. Since the inverse problem is usually ill-posed regularization is needed. Both regularization using mesh coarsing and Tikhonov-regularization (penalized output least square method) are used in order to get stabilized solution. The unknown distributed parameters are discretized using continuous piecewise linear basis functions.",

author = "Jukka Myllym{\"a}ki and Djebar Baroudi",

Research output: Contribution to journal › Article › Scientific › peer-review

TY - JOUR

T1 - Parameter identification using ROLSM in problems of fire technology

AU - Myllymäki, Jukka

AU - Baroudi, Djebar

PY - 1996

Y1 - 1996

N2 - This work presents a global reliable and systematic
methodology regularised output least
square method (ROLSM) to treat parameter identifcation
problems. Several applications of the
method to parameter identification in the problems of
fire technology are presented. Numerical
examples of heat transfer in insulated and bare metal
structures are presented. For each problem
one ordinary differential equation is derived from the
variational formulation of the general heat
conduction problem. As an example of the use of the
method to mechanical properties of metals
an identification of multiplicative viscoplasticity law
for aluminium alloy AA46063-T6 is illus-
trated. Since the inverse problem is usually ill-posed
regularization is needed. Both regularization
using mesh coarsing and Tikhonov-regularization
(penalized output least square method) are
used in order to get stabilized solution. The unknown
distributed parameters are discretized using
continuous piecewise linear basis functions.

AB - This work presents a global reliable and systematic
methodology regularised output least
square method (ROLSM) to treat parameter identifcation
problems. Several applications of the
method to parameter identification in the problems of
fire technology are presented. Numerical
examples of heat transfer in insulated and bare metal
structures are presented. For each problem
one ordinary differential equation is derived from the
variational formulation of the general heat
conduction problem. As an example of the use of the
method to mechanical properties of metals
an identification of multiplicative viscoplasticity law
for aluminium alloy AA46063-T6 is illus-
trated. Since the inverse problem is usually ill-posed
regularization is needed. Both regularization
using mesh coarsing and Tikhonov-regularization
(penalized output least square method) are
used in order to get stabilized solution. The unknown
distributed parameters are discretized using
continuous piecewise linear basis functions.