Data-based diagnosis has been extensively addressed in the domain of structural health
monitoring. Data exhibit patterns able to infer the existence of damaged areas, and in some …

It is well known that knowledge of thermophysical parameters is a leading strategy to
research effects of energy transfer in soils. The present article proposes an inverse analysis …

In this paper, an efficient space-time backward substitution method (STBSM) is presented for
solving nonlinear transient heat conduction problems in 2D and 3D functionally graded …

We present a physics-informed deep learning model for the transient heat transfer analysis
of three-dimensional functionally graded materials (FGMs) employing a Runge–Kutta …

This paper analyses the thermal buckling and thermomechanical bending responses of
sandwich plates with FGM face layers, using new quasi-three-, and two-dimensional HSDTs …

In this paper, dynamic Bayesian networks (DBNs) were employed to solve one-dimensional
inverse heat transfer problems (IHTPs) with temperature history data. Temperature …

In this study, a meshless thermal modeling with meshless local moving kriging interpolation
method is presented for analysis of functionally graded porous (FGP) materials under the …

A boundary shape estimation problem for the furnace's inner surface is solved using the
dual reciprocity boundary element method (DRBEM) and the conjugate gradient method …

Functionally graded materials (FGMs) are a class of materials with engineered
microstructure to achieve spatial variation in properties so as to serve a desired function …

When an anomaly is discovered during a thermal inspection of industrial equipment, the
diagnosis of finding the heat source is made more difficult by the presence of heat insulation …