Artificial neural network approach to predict the fracture parameters of the size effect model for concrete (English)
- New search for: Yan, Y
- New search for: Yan, Y
- New search for: Ren, Q
- New search for: Xia, N
- New search for: Shen, L
- New search for: Gu, J
In:
Fatigue & fracture of engineering materials & structures
;
38
, 11
; 1347-1358
;
2015
-
ISSN:
- Article (Journal) / Print
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Title:Artificial neural network approach to predict the fracture parameters of the size effect model for concrete
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Contributors:
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Published in:Fatigue & fracture of engineering materials & structures ; 38, 11 ; 1347-1358
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Publisher:
- New search for: Blackwell
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Place of publication:Oxford
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Publication date:2015
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ISSN:
-
ZDBID:
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DOI:
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Type of media:Article (Journal)
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Type of material:Print
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Language:English
- New search for: 275/5010/5110
- New search for: 51.32 / 51.32
- Further information on Basic classification
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Keywords:
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Classification:
Local classification TIB: 275/5010/5110 BKL: 51.32 / 51.32 Werkstoffmechanik -
Source:
Table of contents – Volume 38, Issue 11
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1265
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Guest Editorial for VHCF6 Special TopicWang, Qingyuan et al. | 2015
- 1266
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Ultrasonic fatigue performance of high temperature structural material Inconel 718 alloys at high temperature after UNSM treatmentAmanov, A et al. | 2015
- 1274
-
Dominant factors for very‐high‐cycle fatigue of high‐strength steels and a new design method for componentsMatsunaga, H et al. | 2015
- 1285
-
Fatigue life dispersion and thermal dissipation investigations for titanium alloy TC17 in very high cycle regimeHuang, Z. Y et al. | 2015
- 1294
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A new piezoelectric fatigue testing machine in pure torsion for ultrasonic gigacycle fatigue tests: application to forged and extruded titanium alloysNikitin, A et al. | 2015
- 1305
-
Microscopic and nanoscopic observations of metallurgical structures around inclusions at interior crack initiation site for a bearing steel in very high‐cycle fatigueSakai, T et al. | 2015
- 1315
-
Formation of fine grained area in martensitic steel during very high cycle fatigueChai, G et al. | 2015
- 1324
-
Very high cycle fatigue crack initiation mechanism according to a 3D model of persistent slip bands formation in α‐ferriteWang, C et al. | 2015
- 1334
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A simplified micromechanics model for predicting the stiffness degradation in symmetric composite laminatesFarrokhabadi, A et al. | 2015
- 1347
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Artificial neural network approach to predict the fracture parameters of the size effect model for concreteYan, Y et al. | 2015
- 1359
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Interface damage behaviour during interference‐fit bolt installation process for CFRP/Ti alloy joining structureLi, J et al. | 2015
- 1372
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A novel mixed‐mode brittle fracture criterion for crack growth path prediction under static and fatigue loadingSajjadi, S. H et al. | 2015
- 1383
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Low‐cycle fatigue behaviour of polyamidesŞerban, D. A et al. | 2015