國立高雄大學圖資館 |

登入

回首頁

Advances and challenges in computational mechanics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advances and challenges in computational mechanicsedited by Wolfgang Graf ... [et al.].
其他作者:	Graf, Wolfgang.
出版者:	Cham :Springer Nature Switzerland :2025.
面頁冊數:	xviii, 532 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Mechanical engineeringData processing.
電子資源:	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
LDR:02952nmm a2200325 a 4500 001 691751
003 DE-He213
005 20260102120506.0
006 m d
007 cr nn 008maaau
008 260527s2025 sz s 0 eng d
020 $a 9783031932137$q(electronic bk.)
020 $a 9783031932120$q(paper)
024 7 $a 10.1007/978-3-031-93213-7 $2 doi
035 $a 978-3-031-93213-7
040 $a GP $c GP
041 0 $a eng
050 4 $a TJ153
072 7 $a TGB $2 bicssc
072 7 $a TEC009070 $2 bisacsh
072 7 $a TGB $2 thema
082 0 4 $a 621.0285 $2 23
090 $a TJ153 $b .A244 2025
245 0 0 $a Advances and challenges in computational mechanics $h [electronic resource] / $c edited by Wolfgang Graf ... [et al.].
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xviii, 532 p. : $b ill., digital ; $c 24 cm.
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.
650 0 $a Mechanical engineering $x Data processing. $3 868236
650 1 4 $a Engineering Mechanics. $3 913404
650 2 4 $a Numerical Analysis. $3 275681
650 2 4 $a Mechanical Engineering. $3 273894
700 1 $a Graf, Wolfgang. $3 317147
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-93213-7
950 $a Engineering (SpringerNature-11647)