Novel percolation‐based measure for fiber efficacy in fiber‐reinforced concrete beams

Abstract

Fiber‐reinforced concrete exhibits a heterogeneous microstructure formed by aggregates, fibers and a matrix, where the stress from external forces can lead to cracking and fracture. This paper discusses the development of a computational measure for predicting the fiber's efficacy by means of the energy absorbed within the initiated area of the cracks. The analytical development was verified with experimental data from the literature and the results were justified with numerical simulations in the elastic regime. This development couples the localization of the stress in the crack tip with the random distribution of the cracks, which leads to the spatial strain field. Such percolation‐based quantification of the cracks in the early‐stage particularly is useful for effective utilization of fibers during the cracking progress.

Surface Defect Recognition of Solar Panel Based on Percolation-Based Image Processing and Serre Standard Model

“…In addition, rheological measurements and analytical methods have been used to supplement and confirm changes in viscosity. In a relatively short period of time, regulating the flow of water can effectively regulate the role of concrete in the construction and improve the elasticity during use [10]. Jung H K team introduced a crack detection technology based on a panel product image captured using a common camera system.…”

“…If the background image has a Percolation domain during the first iteration, the skip is terminated. The definition of crack characteristics for solar panels is shown in formula (10).…”

“…In formula (10), C count represents the number of pixels in the Percollation domain; C max represents half the size of the image. The value of crack characteristic degree is usually in the range of 0 to 1.…”