- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2041-1723
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
The compressive strength of crumpled matter ; volume:10 ; number:1 ; day:3 ; month:4 ; year:2019 ; pages:1-8 ; date:12.2019
Nature Communications ; 10, Heft 1 (3.4.2019), 1-8, 12.2019
- Creator
-
Croll, Andrew B.
Twohig, Timothy
Elder, Theresa
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41467-019-09546-7
- URN
-
urn:nbn:de:101:1-2019041922203251190363
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:48 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Croll, Andrew B.
- Twohig, Timothy
- Elder, Theresa
- SpringerLink (Online service)
Other Objects (12)
The uniaxial compressive strength of concrete: revisited
Prediction of the uniaxial compressive strength and Brazilian tensile strength of weak conglomerate
Rate-dependence of the compressive and tensile strength of granites
Casein-assisted enhancement of the compressive strength of biocemented sand
Reliable unit strength correlations to predict the compressive strength of grouted concrete masonry
The Effect of Rebar Embedment and CFRP Confinement on the Compressive Strength of Low-Strength Concrete
Prediction of HPC compressive strength based on machine learning
Compressive strength and thermal properties of sand–bentonite mixture
Modeling of Compressive Strength Development of High-Early-Strength-Concrete at Different Curing Temperatures
Comparison of analytical approaches predicting the compressive strength of fibre reinforced polymers
Compressive strength of waste-derived cementitious composites using machine learning
Systematic Mix Design Study on Geopolymers—Prediction of Compressive Strength
The uniaxial compressive strength of concrete: revisited
Prediction of the uniaxial compressive strength and Brazilian tensile strength of weak conglomerate
Rate-dependence of the compressive and tensile strength of granites
Casein-assisted enhancement of the compressive strength of biocemented sand
Reliable unit strength correlations to predict the compressive strength of grouted concrete masonry
The Effect of Rebar Embedment and CFRP Confinement on the Compressive Strength of Low-Strength Concrete
Prediction of HPC compressive strength based on machine learning
Compressive strength and thermal properties of sand–bentonite mixture
Modeling of Compressive Strength Development of High-Early-Strength-Concrete at Different Curing Temperatures
Comparison of analytical approaches predicting the compressive strength of fibre reinforced polymers
Compressive strength of waste-derived cementitious composites using machine learning
Systematic Mix Design Study on Geopolymers—Prediction of Compressive Strength
The uniaxial compressive strength of concrete: revisited
Prediction of the uniaxial compressive strength and Brazilian tensile strength of weak conglomerate
Rate-dependence of the compressive and tensile strength of granites
Casein-assisted enhancement of the compressive strength of biocemented sand
Reliable unit strength correlations to predict the compressive strength of grouted concrete masonry
The Effect of Rebar Embedment and CFRP Confinement on the Compressive Strength of Low-Strength Concrete
Prediction of HPC compressive strength based on machine learning
Compressive strength and thermal properties of sand–bentonite mixture
Modeling of Compressive Strength Development of High-Early-Strength-Concrete at Different Curing Temperatures
Comparison of analytical approaches predicting the compressive strength of fibre reinforced polymers
Compressive strength of waste-derived cementitious composites using machine learning