A simple and effective 1D-element discrete-based method for computational bone remodeling. Issue 2 (3rd February 2022)

• Record Type: Journal Article
• Authors: Quexada-Rodríguez, Diego; Márquez-Flórez, Kalenia; Cerrolaza, Miguel; Duque-Daza, Carlos; Trabelsi, Olfa; Velasco, M.A; Ramtani, Salah; Ho-Ba-Tho, Marie Christine; Garzón-Alvarado, Diego
• Is Part Of: Computer methods in biomechanics and biomedical engineering. Volume 25:Issue 2(2022)
• Page Start: 176
• Page End: 192
• Publication Date: 2022-02-03
• Subjects: Bone remodeling -- trabecular bone -- finite element analysis -- bone architecture -- topological optimization; Biomechanics -- Data processing -- Periodicals; Biomedical engineering -- Periodicals; Biomechanics -- Periodicals; Biomedical Engineering -- methods -- Periodicals; Computing Methodologies -- Periodicals; 612.7
• DOI: 10.1080/10255842.2021.1943370
• Languages: English
• ISSNs: 1025-5842

Abstract

Abstract: In-silico models applied to bone remodeling are widely used to investigate bone mechanics, bone diseases, bone-implant interactions, and also the effect of treatments of bone pathologies. This article proposes a new methodology to solve the bone remodeling problem using one-dimensional (1D) elements to discretize trabecular structures more efficiently for 2D and 3D domains. An Euler integration scheme is coupled with the momentum equations to obtain the evolution of material density at each step. For the simulations, the equations were solved by using the finite element method, and two benchmark tests were solved varying mesh parameters. Proximal femur and calcaneus bone were selected as study cases given the vast research available on the topology of these bones, and compared with the anatomical features of trabecular bone reported in the literature. The presented methodology has proven to be efficient in optimizing topologies of lattice structures; It can predict the trend of formation patterns of the main trabecular groups from two different cancellous bones (femur and calcaneus) using domains set up by discrete elements as a starting point. Preliminary results confirm that the proposed approach is suitable and useful in bone remodeling problems leading to a considerable computational cost reduction. Characteristics similar to those encountered in topological optimization algorithms were identified in the benchmark tests as well, showing the viability of the proposed approach in other applications such as bio-inspired design.