164 related articles for article (PubMed ID: 35955167)
1. A Study on the Prediction of Compressive Strength of Self-Compacting Recycled Aggregate Concrete Utilizing Novel Computational Approaches.
de-Prado-Gil J; Palencia C; Jagadesh P; Martínez-García R
Materials (Basel); 2022 Jul; 15(15):. PubMed ID: 35955167
[TBL] [Abstract][Full Text] [Related]
2. Soft computing techniques to predict the compressive strength of green self-compacting concrete incorporating recycled plastic aggregates and industrial waste ashes.
Faraj RH; Mohammed AA; Omer KM; Ahmed HU
Clean Technol Environ Policy; 2022; 24(7):2253-2281. PubMed ID: 35531082
[TBL] [Abstract][Full Text] [Related]
3. A Comparison of Machine Learning Tools That Model the Splitting Tensile Strength of Self-Compacting Recycled Aggregate Concrete.
de-Prado-Gil J; Palencia C; Jagadesh P; Martínez-García R
Materials (Basel); 2022 Jun; 15(12):. PubMed ID: 35744223
[TBL] [Abstract][Full Text] [Related]
4. Artificial neural network, machine learning modelling of compressive strength of recycled coarse aggregate based self-compacting concrete.
Jagadesh P; Khan AH; Priya BS; Asheeka A; Zoubir Z; Magbool HM; Alam S; Bakather OY
PLoS One; 2024; 19(5):e0303101. PubMed ID: 38739642
[TBL] [Abstract][Full Text] [Related]
5. Application of Soft-Computing Methods to Evaluate the Compressive Strength of Self-Compacting Concrete.
Amin MN; Al-Hashem MN; Ahmad A; Khan K; Ahmad W; Qadir MG; Imran M; Al-Ahmad QMS
Materials (Basel); 2022 Nov; 15(21):. PubMed ID: 36363391
[TBL] [Abstract][Full Text] [Related]
6. Impact of Design Parameters on the Ratio of Compressive to Split Tensile Strength of Self-Compacting Concrete with Recycled Aggregate.
Martínez-García R; Jagadesh P; Búrdalo-Salcedo G; Palencia C; Fernández-Raga M; Fraile-Fernández FJ
Materials (Basel); 2021 Jun; 14(13):. PubMed ID: 34206646
[TBL] [Abstract][Full Text] [Related]
7. Selected Properties of Self-Compacting Concrete with Recycled PET Aggregate.
Jaskowska-Lemańska J; Kucharska M; Matuszak J; Nowak P; Łukaszczyk W
Materials (Basel); 2022 Mar; 15(7):. PubMed ID: 35407898
[TBL] [Abstract][Full Text] [Related]
8. A Comparative Study for the Prediction of the Compressive Strength of Self-Compacting Concrete Modified with Fly Ash.
Farooq F; Czarnecki S; Niewiadomski P; Aslam F; Alabduljabbar H; Ostrowski KA; Śliwa-Wieczorek K; Nowobilski T; Malazdrewicz S
Materials (Basel); 2021 Aug; 14(17):. PubMed ID: 34501024
[TBL] [Abstract][Full Text] [Related]
9. The Effect of Fine and Coarse Recycled Aggregates on Fresh and Mechanical Properties of Self-Compacting Concrete.
Nili M; Sasanipour H; Aslani F
Materials (Basel); 2019 Apr; 12(7):. PubMed ID: 30987339
[TBL] [Abstract][Full Text] [Related]
10. Recycled Rubber as an Aggregate Replacement in Self-Compacting Concrete-Literature Overview.
Bušić R; Miličević I; Šipoš TK; Strukar K
Materials (Basel); 2018 Sep; 11(9):. PubMed ID: 30223478
[TBL] [Abstract][Full Text] [Related]
11. Comparative analysis of various machine learning algorithms to predict 28-day compressive strength of Self-compacting concrete.
Inqiad WB; Siddique MS; Alarifi SS; Butt MJ; Najeh T; Gamil Y
Heliyon; 2023 Nov; 9(11):e22036. PubMed ID: 38045144
[TBL] [Abstract][Full Text] [Related]
12. Mechanical Performance Evaluation of Self-Compacting Concrete with Fine and Coarse Recycled Aggregates from the Precast Industry.
Santos SA; da Silva PR; de Brito J
Materials (Basel); 2017 Aug; 10(8):. PubMed ID: 28777316
[TBL] [Abstract][Full Text] [Related]
13. Prediction of the Compressive Strength of Recycled Aggregate Concrete Based on Artificial Neural Network.
Bu L; Du G; Hou Q
Materials (Basel); 2021 Jul; 14(14):. PubMed ID: 34300839
[TBL] [Abstract][Full Text] [Related]
14. Influence of Mechanical Screened Recycled Coarse Aggregates on Properties of Self-Compacting Concrete.
Tang W; Khavarian M; Yousefi A; Landenberger B; Cui H
Materials (Basel); 2023 Feb; 16(4):. PubMed ID: 36837113
[TBL] [Abstract][Full Text] [Related]
15. Study on the Microstructure of the New Paste of Recycled Aggregate Self-Compacting Concrete.
Zitouni K; Djerbi A; Mebrouki A
Materials (Basel); 2020 May; 13(9):. PubMed ID: 32370234
[TBL] [Abstract][Full Text] [Related]
16. Prediction Models for the Mechanical Properties of Self-Compacting Concrete with Recycled Rubber and Silica Fume.
Bušić R; Benšić M; Miličević I; Strukar K
Materials (Basel); 2020 Apr; 13(8):. PubMed ID: 32290623
[TBL] [Abstract][Full Text] [Related]
17. Environmental protection by using waste copper slag as a coarse aggregate in self-compacting concrete.
Sharifi Y; Afshoon I; Asad-Abadi S; Aslani F
J Environ Manage; 2020 Oct; 271():111013. PubMed ID: 32778296
[TBL] [Abstract][Full Text] [Related]
18. Comparative Study of Supervised Machine Learning Algorithms for Predicting the Compressive Strength of Concrete at High Temperature.
Ahmad A; Ostrowski KA; Maślak M; Farooq F; Mehmood I; Nafees A
Materials (Basel); 2021 Jul; 14(15):. PubMed ID: 34361416
[TBL] [Abstract][Full Text] [Related]
19. Recycling Aggregates for Self-Compacting Concrete Production: A Feasible Option.
Martínez-García R; Guerra-Romero MI; Morán-Del Pozo JM; Brito J; Juan-Valdés A
Materials (Basel); 2020 Feb; 13(4):. PubMed ID: 32075141
[TBL] [Abstract][Full Text] [Related]
20. Nonlinear Neural Network Based Forecasting Model for Predicting COVID-19 Cases.
Namasudra S; Dhamodharavadhani S; Rathipriya R
Neural Process Lett; 2023; 55(1):171-191. PubMed ID: 33821142
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
