Thermal Emission analysis to predict damage in specimens of High Strength Concrete

Abstract

In this paper thermal analysis was applied to determine the “Critical Stress” of concrete, different from its ultimate strength, able to produce the first damage in the structures under compressive loads. The Critical Stress can be thought as the stress able to produce the beginning of fatigue rupture within the material. Several specimens of high strength concrete were tested in order to define the incipient crack phenomena, also in internal part of the specimen not accessible by direct inspections, with the aid of infrared thermography. A finite element analysis completes the study and compares, for the same static loading conditions, the stress state with the experimental thermographic images. The final results show as the coupling of normal compressive test and the acquisition of the thermal images can be a useful aid to estimate a security stress value, indeed the Critical Stress, before the Ultimate Serviceability Limit (SLU) of the structure, defined as the maximum load condition before its failure.

Fatigue strength evaluation of PPGF35 by energy approach during mechanical tests

“…This was observed for basalt fibre reinforced composites by Colombo et al [18], high density polyethylene [19] and glass fibre reinforced composites by Harizi et al [20] and Crupi et al [21]. Cucinotta et al [22] monitored the superficial temperature of high strength concrete specimens subjected to compressive loads, observed a deviation from the linear thermoelastic trend. Santonocito [23] applied the STM for the first time on PA12 specimens obtained through additive manufacturing.…”

Smart design of customized hip prostheses in additive manufacturing by combining numerical and experimental methodologies

“…Lattice optimization. Thanks to the rapid evolution of additive manufacturing today, it is possible to make high-strength open porous scaffolding constructed with beam elements [49][50][51], which can provide favourable property trade-offs when considering mechanical and biological factors. Parametric approaches can help design lattices for scaffold applications by exploiting parameter coupling and scale relationships, which has been a successful approach for designing complex biomechanical systems [52].…”

Deep Learning algorithm for the assessment of the first damage initiation monitoring the energy release of materials

“…n the past thirty years, infrared thermography has found wide application during fatigue testing of different materials [1][2][3][4][5] . Indeed, fatigue is a dissipative phenomenon in which a large part of mechanical work provided to the specimen is dissipated into heat [6].…”