𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Concrete compressive strength prediction using ultrasonic pulse velocity through artificial neural networks

✍ Scribed by Manish A. Kewalramani; Rajiv Gupta


Publisher
Elsevier Science
Year
2006
Tongue
English
Weight
236 KB
Volume
15
Category
Article
ISSN
0926-5805

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Prediction of long-term effects of GGBFS
✍ Mustafa SarΔ±demir; Δ°lker Bekir TopΓ§u; Fatih Γ–zcan; Metin Hakan Severcan πŸ“‚ Article πŸ“… 2009 πŸ› Elsevier Science 🌐 English βš– 264 KB

In this study, artificial neural networks and fuzzy logic models for prediction of long-term effects of ground granulated blast furnace slag on compressive strength of concrete under wet curing conditions have been developed. For purpose of constructing these models, 44 different mixes with 284 expe

Prediction of uniaxial compressive stren
✍ S DEHGHAN; Gh SATTARI; S CHEHREH CHELGANI; MA ALIABADI πŸ“‚ Article πŸ“… 2010 πŸ› Elsevier 🌐 English βš– 635 KB

Uniaxial Compressive Strength (UCS) and modulus of elasticity (E) are the most important rock parameters required and determined for rock mechanical studies in most civil and mining projects. In this study, two mathematical methods, regression analysis and Artificial Neural Networks (ANNs), were use

Artificial neural network modeling of we
✍ Sukhomay Pal; Surjya K. Pal; Arun K. Samantaray πŸ“‚ Article πŸ“… 2008 πŸ› Elsevier Science 🌐 English βš– 646 KB

This paper addresses the weld joint strength monitoring in pulsed metal inert gas welding (PMIGW) process. Response surface methodology is applied to perform welding experiments. A multilayer neural network model has been developed to predict the ultimate tensile stress (UTS) of welded plates. Six p

Discussion on β€œPredicting the shear stre
✍ A.H. Gandomi; A.H. Alavi πŸ“‚ Article πŸ“… 2009 πŸ› Elsevier Science 🌐 English βš– 368 KB

The paper reporting the study by the authors considers the use of artificial neural networks (ANNs) to predict the ultimate shear strengths of reinforced concrete (RC) beams with transverse reinforcements. Because of some paradoxes in the results, the proposed ANN model has almost no reliability. Th