Prediction and Evaluation of Hardened Concrete Strength : Based on Machine Learning and Mixture Composition
Book Details
Format
Hardback or Cased Book
ISBN-10
9819682363
ISBN-13
9789819682362
Publisher
Springer Nature Switzerland AG
Imprint
Springer Nature Switzerland AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Aug 31st, 2025
Print length
108 Pages
Weight
308 grams
Dimensions
16.10 x 24.60 x 1.20 cms
Product Classification:
Materials scienceBuilding construction & materialsBuilding construction and materials
Ksh 8,100.00
Werezi Extended Catalogue
0 in stock
Delivery Location
Delivery fee: Select location
Secure
Quality
Fast
This open access book monitors the development of the temperature field within concrete structures and, based on the Arrhenius equation, constructs F-P maturity equations applicable to different temperature ranges.
This open access book monitors the development of the temperature field within concrete structures and, based on the Arrhenius equation, constructs F-P maturity equations applicable to different temperature ranges. It investigates the impact of hydration rate on the strength prediction method of the maturity equation. Furthermore, the book employs artificial neural network theory to improve the accuracy of early concrete strength predictions, optimizing the neural network model to develop a more precise and widely applicable prediction model. An intelligent program is developed using MATLAB, facilitating rapid strength prediction and assessment on construction sites using measured parameters.
Get Prediction and Evaluation of Hardened Concrete Strength by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer Nature Switzerland AG and it has pages.
