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Advances and challenges in computational mechanics

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances and challenges in computational mechanicsedited by Wolfgang Graf ... [et al.].
other author:	Graf, Wolfgang.
Published:	Cham :Springer Nature Switzerland :2025.
Description:	xviii, 532 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Mechanical engineeringData processing.
Online resource:	https://doi.org/10.1007/978-3-031-93213-7
ISBN:	9783031932137$q(electronic bk.)

Advances and challenges in computational mechanics
Advances and challenges in computational mechanics[electronic resource] /edited by Wolfgang Graf ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xviii, 532 p. :ill., digital ;24 cm.

A Study on Cross-Applicability and Potential of Machine Learning Tools in Hip and Dental Biomechanics -- Buckling of Planar Beams with Variable Inertia -- Tire, Road and Their Interaction: Digitization on the Way -- Data-Driven Constitutive Approaches to Hyperelastic Materials -- Experimental Studies for Validating Numerical Calculations -- Topology Optimization Considering Reaction Force Uniformity -- On a Space-Time Approach for Thermomechanics -- Back to Earth: Building the Future with an Ancient Material -- Computational Quantification of Microstructure Related Uncertainties -- Advances and Challenges in Computational Tire Mechanics -- Modeling the Viscoelastic Properties of Filled Elastomer Blends.

This Festschrift honors Professor Dr.-Ing. habil. Michael Kaliske on his 65th birthday, celebrating his significant contributions to computational mechanics. Renowned for his work in multiphysical constitutive modeling, fracture and damage mechanics, and Arbitrary Lagrangian-Eulerian (ALE) formulations within the Finite Element Method, Professor Kaliske has established an extensive international network of collaborators. This volume brings together contributions from esteemed colleagues, former PhD students, and friends worldwide, reflecting on his impact and presenting insights into the latest developments in computational mechanics. Computational mechanics is currently part of many engineering tasks and disciplines. The book contains a state-of-the-art with respect to machine learning tools in biomechanics, digitization in engineering, damage mechanics, brittle and ductile fracture modeling, multi-physical and non-linear constitutive modeling with various applications, scaled boundary finite-element frameworks, material point and finite-element methods, data-driven mechanics, polymorphic uncertainty quantification, validation experiments in civil engineering, tire mechanics, space-time finite elements as well as topology optimization approaches.

ISBN: 9783031932137$q(electronic bk.)

Standard No.: 10.1007/978-3-031-93213-7doiSubjects--Topical Terms:

868236
Mechanical engineering
--Data processing.

LC Class. No.: TJ153

Dewey Class. No.: 621.0285

Advances and challenges in computational mechanics
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505 0 $a A Study on Cross-Applicability and Potential of Machine Learning Tools in Hip and Dental Biomechanics -- Buckling of Planar Beams with Variable Inertia -- Tire, Road and Their Interaction: Digitization on the Way -- Data-Driven Constitutive Approaches to Hyperelastic Materials -- Experimental Studies for Validating Numerical Calculations -- Topology Optimization Considering Reaction Force Uniformity -- On a Space-Time Approach for Thermomechanics -- Back to Earth: Building the Future with an Ancient Material -- Computational Quantification of Microstructure Related Uncertainties -- Advances and Challenges in Computational Tire Mechanics -- Modeling the Viscoelastic Properties of Filled Elastomer Blends.
520 $a This Festschrift honors Professor Dr.-Ing. habil. Michael Kaliske on his 65th birthday, celebrating his significant contributions to computational mechanics. Renowned for his work in multiphysical constitutive modeling, fracture and damage mechanics, and Arbitrary Lagrangian-Eulerian (ALE) formulations within the Finite Element Method, Professor Kaliske has established an extensive international network of collaborators. This volume brings together contributions from esteemed colleagues, former PhD students, and friends worldwide, reflecting on his impact and presenting insights into the latest developments in computational mechanics. Computational mechanics is currently part of many engineering tasks and disciplines. The book contains a state-of-the-art with respect to machine learning tools in biomechanics, digitization in engineering, damage mechanics, brittle and ductile fracture modeling, multi-physical and non-linear constitutive modeling with various applications, scaled boundary finite-element frameworks, material point and finite-element methods, data-driven mechanics, polymorphic uncertainty quantification, validation experiments in civil engineering, tire mechanics, space-time finite elements as well as topology optimization approaches.
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