Doctoral Dissertations

Abstract

"The aim of this study is to develop two classes of low-shrinkage high-performance concrete (HPC): fiber-reinforced super workable concrete (FR-SWC) for infrastructure construction and fiber-reinforced self-consolidating concrete (FR-SCC) for repair applications. HPC with excess content of shrinkage mitigation materials (SMMs), including shrinkage-reducing admixture (SRA), superabsorbent polymer (SAP), and expansive agent (EA) has a detrimental effect on mechanical performance. These classes of HPC were optimized to reduce shrinkage, enhance mechanical properties, and improve durability. The effect of fiber type (macro synthetic fiber, MSF; 5D steel fiber, 5D; 80% 3D + 20% short steel fibers; STST), SMMs, and plastic viscosity on bond strength and structural properties of beams was evaluated. Test results indicated that optimal SRA-MSF system led to low drying shrinkage without mitigating mechanical properties of FR-SWC. Using 1.25% SRA improved shrinkage resistance and flexural post-cracking behavior. Adding 0.66% MSF and 1.25% SRA notably reduced crack development, delayed onset of corrosion, and increased residual flexural properties of cracked beams. Adding SMMs enhanced the bond strength of FR-SCC by 10%-60%. FR-SCC with SRA exhibited better bond and flexural properties than those with EA and SAP. Adding 5D in FR-SCC showed excellent flexural properties, followed by MSF and STST. FR-SWC beams with various fibers showed 10%-55% lower crack width, 25%-55% higher yield loads, and 10%-30% higher ultimate loads than conventional beams. Beam elements repaired by FR-SCC with plastic viscosity (10-40 Pa·s) reduced crack width (45%-65%) and improved flexural load capacity (15%-30%) due to favorable dispersion of fibers"-- Abstract, p. iv

Advisor(s)

Khayat, Kamal

Committee Member(s)

Liu, Jenny
Ma, Hongyan
Yan, Guirong Grace
Okoronkwo, Monday Uchenna

Department(s)

Civil, Architectural and Environmental Engineering

Degree Name

Ph. D. in Civil Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Spring 2024

Pagination

vii, 352 pages

Note about bibliography

Includes_bibliographical_references_(pages 344-351)

Rights

© 2023 Jingjie Wei, All rights reserved

Document Type

Dissertation - Open Access

File Type

text

Language

English

Thesis Number

T 12349

Electronic OCLC #

1427259019

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