An isogeometric assumed natural strain method to alleviate locking in solid beams

This work proposes a novel Isogeometric Analysis (IGA) extension of the assumed natural strain (ANS) method to alleviate locking phenomena in solid beams, which are modeled as 3D elements accounting for displacement degrees of freedom solely and designed such that accurate analyses can be generally obtained using only one element to discretize the structure’s cross-section. ANS methods substitute covariant compatible strains that cause locking in solid beams, when, e.g., constrained to be thin, with a so-called assumed strain field. Namely, the compatible strains are interpolated at suitable locations, termed tying points, and the assumed strains are then derived using an ad hoc element-based extrapolation. This local operation involves, in principle, the inversion of extrapolation matrices; yet, these quantities can be computed at once and in closed form, using a linear extrapolation in the quadratic case, without needing any inversion operation. The introduced IGA ANS technique, specifically tailored to mitigate membrane and shear locking, given the superior geometric approximation provided by the adopted IGA framework, as well as the high regularity of the utilized computer-aided design basis functions, is also able to naturally alleviate thickness and curvature-thickness locking phenomena and its effectiveness is proven through extensive numerical testing.

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Institutions

Publication Details

Journal
Computer Methods in Applied Mechanics and Engineering
Published
2025-05-01
DOI
https://doi.org/10.1016/j.cma.2025.118024
Citations
2
Primary Topic
Advanced Numerical Analysis Techniques
Type
article
Field-Weighted Citation Impact
2.67

Funders

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article

An isogeometric assumed natural strain method to alleviate locking in solid beams

Leonardo Leonetti, Alessia Patton, Josef Kiendl
2 citations
Computer Methods in Applied Mechanics and Engineering
Advanced Numerical Analysis Techniques
2.67
article

An isogeometric assumed natural strain method to alleviate locking in solid beams

Leonardo Leonetti, Alessia Patton, Josef Kiendl
article en
2 citations

Abstract

This work proposes a novel Isogeometric Analysis (IGA) extension of the assumed natural strain (ANS) method to alleviate locking phenomena in solid beams, which are modeled as 3D elements accounting for displacement degrees of freedom solely and designed such that accurate analyses can be generally obtained using only one element to discretize the structure’s cross-section. ANS methods substitute covariant compatible strains that cause locking in solid beams, when, e.g., constrained to be thin, with a so-called assumed strain field. Namely, the compatible strains are interpolated at suitable locations, termed tying points, and the assumed strains are then derived using an ad hoc element-based extrapolation. This local operation involves, in principle, the inversion of extrapolation matrices; yet, these quantities can be computed at once and in closed form, using a linear extrapolation in the quadratic case, without needing any inversion operation. The introduced IGA ANS technique, specifically tailored to mitigate membrane and shear locking, given the superior geometric approximation provided by the adopted IGA framework, as well as the high regularity of the utilized computer-aided design basis functions, is also able to naturally alleviate thickness and curvature-thickness locking phenomena and its effectiveness is proven through extensive numerical testing.

Computer Methods in Applied Mechanics and EngineeringVol. 442
Universität der Bundeswehr München (DE), University of Calabria (IT), Ho Chi Minh City University of Technology (VN)
Horizon 2020 Framework Programme, European Research Council, Horizon 2020, H2020 European Research Council
Openalex Percentile: Top 12%
Advanced Numerical Analysis Techniques
2.67
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An isogeometric assumed natural strain method to alleviate locking in solid beams — Leonardo Leonetti, Alessia Patton, et al. · Computer Methods in Applied Mechanics and Engineering (2025) | TGRS Research Map | TGRS