Description

Book Synopsis

Overview of materials science of soft and hard biological materials.- Biomechanics of human and animal skin using experimental approach.- Constitutive models and their computation implementation to predict the mechanical behaviour of soft tissues.- In silico modelling of non-Newtonian canalicular fluid flow in lacunar canalicular system of bone tissue- A machine learning approach.- Experimental and modelling approaches to predict the effect of disease on the soft tissue mechanics and material science.- Modelling of poroelastic behaviour of biological materials.- Mechano-biological assessment of tissue engineered biomaterials.- Experimental methods to assess bone quality.- Computational techniques to predict bone fracture risk.- Strain rate dependent mechanical behaviour of bone.- Bone fracture risk prediction in tibia bone.- Computational modelling of mandibular bone implant.

Mechanics and Materials Science of Biological

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    A Hardback by Krashn Kumar Dwivedi

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      Book details

      Publisher Springer
      Published 7 August 2025
      ISBN-13 9789819653652
      978-9819653652
      ISBN-10 9819653657
      Also in:
      Biomedical engineering / Medical engineering

      Description

      Book Synopsis

      Overview of materials science of soft and hard biological materials.- Biomechanics of human and animal skin using experimental approach.- Constitutive models and their computation implementation to predict the mechanical behaviour of soft tissues.- In silico modelling of non-Newtonian canalicular fluid flow in lacunar canalicular system of bone tissue- A machine learning approach.- Experimental and modelling approaches to predict the effect of disease on the soft tissue mechanics and material science.- Modelling of poroelastic behaviour of biological materials.- Mechano-biological assessment of tissue engineered biomaterials.- Experimental methods to assess bone quality.- Computational techniques to predict bone fracture risk.- Strain rate dependent mechanical behaviour of bone.- Bone fracture risk prediction in tibia bone.- Computational modelling of mandibular bone implant.

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