The DOI matches its Crossref record.
Regular Pyramid Punch Problem
Abstract
An approximate solution is found for a regular pyramidal punch indenting, without friction, an elastic half-space. The method is based on the reasonable assumption of the stress distribution and of the region of contact. The force-indentation relationship is obtained for a regular pyramidal punch. The results compare well with direct numerical results.
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Cited by
Chaudhuri, O., Koshy, S. T., Branco da Cunha, C., Shin, J.-W., Verbeke, C. S., Allison, K. H., & Mooney, D. J. (2014) · Nature Materials · doi:10.1038/nmat4009 · Cited by 820
Metadata
- Authors
- Bilodeau, G. G.
- Venue
- Journal of Applied Mechanics
- Publisher
- ASME International
- Published
- 1992-09-01
- Volume
- 59
- Issue
- 3
- Pages
- 519-523
- ISSN
- 0021-8936 (ISSN-L)
- 1528-9036
- OpenAlex
- W1965858639
- Cited by
- 265
- References
- 0
- FWCI
- 1.86
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Regular Pyramid Punch Problem. https://app.cochat.ai/papers/10.1115/1.2893754
- The paper
- Bilodeau, G. G. (1992). Regular Pyramid Punch Problem. Journal of Applied Mechanics. https://doi.org/10.1115/1.2893754
Data sources
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.
