Soft computational approach on the thermoelastic assessment of the sandwich beams with transversely functionally graded composite concrete face-sheets as an advanced building material.

The core part of this study is comprised of using the soft computational approach for analyzing the thermoelastic reaction of a concrete sandwich beam with transversely-graded composite face sheets as an advanced building material exposed to an axially-directed abrupt thermal load. First of all, the relations governing motion are extracted from the principles of three-dimensional elasticity theory. Besides, the time-variable relations of heat conduction are derived based on the Fourier heat conduction cooperating with Lord–Shulman theorem of heat transfer. Continuity of the displacements and stresses on the core's borders interacting with face sheets is taken into consideration. To find the solution of the time-variable governing equations of motion, the Laplace transform in conjunction with the differential quadrature approach (DQA) is utilized. Transforming the system's reaction from Laplace space to the time domain is done through an extended expression of Dubner and Abate's approach. To speed up the computational process, a soft computational approach on the bases of optimizing a deep neural network with a shuffled frog leaping algorithm (SFLA) is implemented. Efficiency of the applied methods is inspected though comparing their outcomes with those obtained from the existing literature for different boundary conditions. [ABSTRACT FROM AUTHOR]