RT Conference Proceedings
T1 A two-phase genetic algorithm to model the menisca horn repaired with suture
A1 Estébanez-Campos, María Belén
A1 Peña Trabalón, Alejandro
A1 Moreno-Vegas, Salvador
A1 Espejo-Reina, Alejandro
A1 Nadal-Martínez, Fernando
A1 García-Vacas, Francisco
A1 Pérez-Blanca, Ana
A1 Prado-Novoa, María
K1 Algoritmos genéticos
K1 Meniscos
AB Menisci suturing is a common surgical technique nowadays. Menisci have been modeled with different degrees of complexity in finite element models (FEM) of the human knee, but there are few works focused on simulating the meniscus subjected to traction loads in its longitudinal direction, such as those produced by sutures after repair. Moreover, there are no models that include the effect of the orifice for the suture. This study develops a material model of the meniscal horn when it is pulled by the thread used to reattach its root.
YR 2022
FD 2022-07
LK https://hdl.handle.net/10630/24579
UL https://hdl.handle.net/10630/24579
LA eng
NO Universidad de Málaga.Campus de Excelencia Internacional Andalucía Tech.Subvencionado por el Proyecto del Plan Nacional RTI2018-094339-B-I00 y por el Proyecto de la Junta de Andalucía P20-00294.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026