Title:
Utilizing Convex Hull Algorithms to Advance Modeling of Systems with Recycled Concrete Aggregates
Author(s):
Adams
Publication:
Web Session
Volume:
ws_S25_Adams.pdf
Issue:
Appears on pages(s):
Keywords:
DOI:
Date:
3/30/2025
Abstract:
A computational modeling procedure for generating a random aggregate structure (RAS) for recycled concrete aggregate (RCA) materials is presented in this work. The two-dimensional aggregate generation was based on a convex hull algorithm to randomize arbitrary planar shapes of RCA particles. During the generation of RAS, randomizations of the maximum aggregate size and spatial distribution of RCA particles were considered. Finite-element models for RCA systems were generated based on an extensive image analysis procedure. Numerical analyses were performed for 12 different RCA systems including crushed-shape and rounded-shape aggregates by varying the morphological parameters of the RCA particles. The mechanical performance of RCA systems with different particle shapes, maximum aggregate sizes, adhered mortar content levels, and aggregate ratios were used as factors to evaluate.