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Computational Biomechanics of Bone-Implant Systems, Fixation, and Mechanically Mediated Regeneration

Computational biomechanics is increasingly central to understanding the mechanical environment of bone–implant and bone–fixation systems and to guiding the design of musculoskeletal and dental implants. Advances in medical imaging, constitutive and damage modelling, and numerical methods, including finite element analysis (FEA), multiscale and poroelastic formulations, and discrete/particle-based approaches, enable detailed investigation of load transfer, stress shielding, stability, and interface mechanics that govern fixation and osseointegration. In parallel, additively manufactured and architected porous implants motivate simulation frameworks that link geometry, mechanical response, transport, and mechanically driven tissue adaptation. Computational models are also being used to study mechanical stimulation and mechanotherapy (e.g., shock-wave/ultrasound-inspired loading) as a means to influence regeneration outcomes. Together, computational and experimental biomechanics provide a pathway toward mechanistic insight and reproducible design rules for durable implant function.This Research Topic aims to advance rigorous biomechanics-centred computational (and combined experimental–computational) frameworks for implant/fixation function and mechanically mediated tissue regeneration across relevant spatial and temporal scales. We seek contributions that quantify how loading, implant architecture, and contact/interface conditions influence clinically meaningful biomechanical endpoints such as fixation stability, micromotion, stress/strain fields in peri-implant bone, interfragmentary motion, and long-term mechanical integrity. Submissions are encouraged that connect mechanical environments to biological response using mechanobiological laws, poroelastic/transport-informed models, and remodelling/healing simulations, including studies examining mechanically driven interventions (mechanostimulation/mechanotherapy) where they are analysed with clear mechanics-based rationale. A key objective is to strengthen credibility and reproducibility through appropriate verification/benchmarking, transparent reporting of modelling choices (geometry, material mapping, boundary conditions), and validation where feasible (including targeted experimental comparisons). Studies that explore parametric variability (implant architecture, porosity, fixation constructs, material properties, or anatomy) are especially welcome. Data-driven approaches are in scope when grounded in mechanics and compared against established baselines.We welcome original research and systematic reviews on computational biomechanics of implants, fixation constructs, and bone–implant interfaces, including:• FEA of implant–bone load transfer, stress shielding, and fixation stability (including external/internal fixation)• Modelling and optimisation of implant geometry/materials (porous, lattice/metamaterial, and additively manufactured designs)• Interface/contact mechanics, micromotion, and osseointegration-relevant mechanics• Mechanobiology-informed simulations of bone healing/remodelling around implants and fixation systems• Poroelasticity, fluid/structure interaction, and transport across boundaries relevant to osseointegration and regeneration• Fatigue, damage evolution, wear, and long-term stability/failure prediction• Discrete element/movable cellular automata/particle-based approaches for microstructure, fracture, and interface phenomena, plus validated biomechanics-informed ML. Studies should include sound verification, validation where appropriate to the study design and available benchmarks, and sensitivity and variability analyses as expected standards of submission. Topic editors: Alexey Smolin, Muhammad Hanif Ramlee, Hassan Mehboob Source: https://www.frontiersin.org/research-topics/79182/computational-biomechanics-of-bone-implant-systems-fixation-and-mechanically-mediated-regeneration

Open for submissionsHosted by Frontiers in Bioengineering and Biotechnology
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