Artificial neural network modeling of compressive strength of concrete with paper sludge as fine aggregate
Date of Publication
2006
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Civil Engineering
College
Gokongwei College of Engineering
Department/Unit
Civil Engineering
Thesis Adviser
Ronaldo S. Gallardo
Defense Panel Member
Jason Maximino C. Ongpeng
Eugenio C. Chan
Bernardo A. Lejano
Abstract/Summary
Paper sludge is one of the materials being studied now. It is being studied for an add mixture or a substitute for aggregate in a concrete mix. There were already some researches on the properties and the chemical components of paper sludge. Recent studies also tested the behavior of the structural properties of concrete with certain fractions of paper sludge being substituted for some aggregate. As expected, the strength of concrete decreases as the percentage of paper sludge substituted increases. But the behavior of the decrease is not yet known because intensive research is needed. In this research, we have tried to use the power of the computer by modeling an artificial neural network to help have a simulation or estimate of the compressive strength of different concrete mixes with different target strength and different percentage of substituted paper sludge. We have input the data we have attain from testing our concrete specimens to our ANN to determine the behavior of the concrete. This will help us develop a mix design for concrete with paper sludge substitute, so that we can maximize the use of this waste material for making concrete for future use.
Abstract Format
html
Language
English
Format
Accession Number
TU13578
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
vii, 25, [19] leaves : ill. ; 28 cm.
Keywords
Aggregates (Building materials); Waste product as road materials
Recommended Citation
Sy, B. Y., Tiu, C., & Chua, M. Y. (2006). Artificial neural network modeling of compressive strength of concrete with paper sludge as fine aggregate. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/6213