Inversion symmetry in separable line, area and volume elastic energies

Abstract This work introduces a constructive framework for formulating isotropic compressible hyperelastic constitutive laws based on a geometrically transparent generalization of the Valanis–Landel (VL) hypothesis. The strain energy is decomposed into independent line, area, and volume contributions, each governed by a scalar function of the corresponding deformation measure. Physical admissibility is ensured by imposing inversion symmetry on these functions, which automatically enforces a stress-free reference state. The resulting formulation provides a systematic procedure for generating physically coherent models without ad hoc assumptions and naturally reduces to classical incompressible VL-type models as a special case. A central result of the theory is the emergence, both in linear and finite elasticity, of three fundamental Poisson’s ratios–0, 1/3, and 1/2–associated with pure line, area, and volume deformation mechanisms, respectively. In the general case, the macroscopic linear elastic moduli are explicitly recovered as weighted combinations of these mechanisms. The Hencky strain energy is identified as the simplest symmetric member of this class. The framework thus offers a unified, symmetry-based toolbox for the design and analysis of compressible materials, with direct applicability to the microstructurally informed engineering of elastomers, polymers, and metamaterials.

Authors

Institutions

Publication Details

Journal
Continuum Mechanics and Thermodynamics
Published
2026-04-16
DOI
https://doi.org/10.1007/s00161-026-01473-5
Primary Topic
Elasticity and Material Modeling
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Inversion symmetry in separable line, area and volume elastic energies

Francesco Trentadue, Domenico De Tommasi, Gennaro Vitucci
Continuum Mechanics and Thermodynamics
Elasticity and Material Modeling
article

Inversion symmetry in separable line, area and volume elastic energies

Francesco Trentadue, Domenico De Tommasi, Gennaro Vitucci
article en

Abstract

Abstract This work introduces a constructive framework for formulating isotropic compressible hyperelastic constitutive laws based on a geometrically transparent generalization of the Valanis–Landel (VL) hypothesis. The strain energy is decomposed into independent line, area, and volume contributions, each governed by a scalar function of the corresponding deformation measure. Physical admissibility is ensured by imposing inversion symmetry on these functions, which automatically enforces a stress-free reference state. The resulting formulation provides a systematic procedure for generating physically coherent models without ad hoc assumptions and naturally reduces to classical incompressible VL-type models as a special case. A central result of the theory is the emergence, both in linear and finite elasticity, of three fundamental Poisson’s ratios–0, 1/3, and 1/2–associated with pure line, area, and volume deformation mechanisms, respectively. In the general case, the macroscopic linear elastic moduli are explicitly recovered as weighted combinations of these mechanisms. The Hencky strain energy is identified as the simplest symmetric member of this class. The framework thus offers a unified, symmetry-based toolbox for the design and analysis of compressible materials, with direct applicability to the microstructurally informed engineering of elastomers, polymers, and metamaterials.

Continuum Mechanics and ThermodynamicsVol. 38(3)
Polytechnic University of Bari (IT), Politecnico di Milano (IT)
Openalex Percentile: Top 8%
Elasticity and Material Modeling
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.