- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
Compressive strength of core specimens drilled from concrete test cylinders ; year:2020
Structural concrete ; (2020)
- Creator
-
Haavisto, Jukka
Husso, Ari
Laaksonen, Anssi
- DOI
-
10.1002/suco.202000428
- URN
-
urn:nbn:de:101:1-2021021809135958809392
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:22 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
- Haavisto, Jukka
- Husso, Ari
- Laaksonen, Anssi
Other Objects (12)
Estimation of confined compressive strength of LRS‐FRP concrete specimens with computational intelligence
The uniaxial compressive strength of concrete: revisited
Machine learning and interactive GUI for concrete compressive strength prediction
Prediction of concrete compressive strength using a Deepforest-based model
Reliable unit strength correlations to predict the compressive strength of grouted concrete masonry
Modeling of Compressive Strength Development of High-Early-Strength-Concrete at Different Curing Temperatures
Machine learning-based compressive strength estimation in nanomaterial-modified lightweight concrete
Axial compressive performance of low-carbon high-strength recycled aggregate concrete
Compressive fatigue investigation on high-strength and ultra-high-strength concrete within the SPP 2020
Compressive strength assessment of concrete with brick chips using the CAPO-test
Empirical models for compressive and tensile strength of basalt fiber reinforced concrete
Effect of steam curing system on compressive strength of recycled aggregate concrete
Estimation of confined compressive strength of LRS‐FRP concrete specimens with computational intelligence
The uniaxial compressive strength of concrete: revisited
Machine learning and interactive GUI for concrete compressive strength prediction
Prediction of concrete compressive strength using a Deepforest-based model
Reliable unit strength correlations to predict the compressive strength of grouted concrete masonry
Modeling of Compressive Strength Development of High-Early-Strength-Concrete at Different Curing Temperatures
Machine learning-based compressive strength estimation in nanomaterial-modified lightweight concrete
Axial compressive performance of low-carbon high-strength recycled aggregate concrete
Compressive fatigue investigation on high-strength and ultra-high-strength concrete within the SPP 2020
Compressive strength assessment of concrete with brick chips using the CAPO-test
Empirical models for compressive and tensile strength of basalt fiber reinforced concrete
Effect of steam curing system on compressive strength of recycled aggregate concrete
Estimation of confined compressive strength of LRS‐FRP concrete specimens with computational intelligence
The uniaxial compressive strength of concrete: revisited
Machine learning and interactive GUI for concrete compressive strength prediction
Prediction of concrete compressive strength using a Deepforest-based model
Reliable unit strength correlations to predict the compressive strength of grouted concrete masonry
Modeling of Compressive Strength Development of High-Early-Strength-Concrete at Different Curing Temperatures
Machine learning-based compressive strength estimation in nanomaterial-modified lightweight concrete
Axial compressive performance of low-carbon high-strength recycled aggregate concrete
Compressive fatigue investigation on high-strength and ultra-high-strength concrete within the SPP 2020
Compressive strength assessment of concrete with brick chips using the CAPO-test
Empirical models for compressive and tensile strength of basalt fiber reinforced concrete