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Cited by 398

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

Mechanical design in arteries

Shadwick, Robert E.·1999·Journal of Experimental Biology

Abstract

The most important mechanical property of the artery wall is its non-linear elasticity. Over the last century, this has been well-documented in vessels in many animals, from humans to lobsters. Arteries must be distensible to provide capacitance and pulse-smoothing in the circulation, but they must also be stable to inflation over a range of pressure. These mechanical requirements are met by strain-dependent increases in the elastic modulus of the vascular wall, manifest by a J-shaped stress–strain curve, as typically exhibited by other soft biological tissues. All vertebrates and invertebrates with closed circulatory systems have arteries with this non-linear behaviour, but specific tissue properties vary to give correct function for the physiological pressure range of each species. In all cases, the non-linear elasticity is a product of the parallel arrangement of rubbery and stiff connective tissue elements in the artery wall, and differences in composition and tissue architecture can account for the observed variations in mechanical properties. This phenomenon is most pronounced in large whales, in which very high compliance in the aortic arch and exceptionally low compliance in the descending aorta occur, and is correlated with specific modifications in the arterial structure.

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Metadata

Authors
Shadwick, R. E.
Venue
Journal of Experimental Biology
Published
1999-12-01
Volume
202
Issue
23
Pages
3305-3313
ISSN
  • 0022-0949 (ISSN-L)
  • 1477-9145
OpenAlex
W2123227231
Cited by
398
References
23
FWCI
1.75
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Mechanical design in arteries. https://app.cochat.ai/papers/10.1242/jeb.202.23.3305
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Shadwick, R. E. (1999). Mechanical design in arteries. Journal of Experimental Biology. https://doi.org/10.1242/jeb.202.23.3305

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.