東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

A Meta-Analysis on the Constitutive Behavior of Engineered Cementitious Composite.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A Meta-Analysis on the Constitutive Behavior of Engineered Cementitious Composite./
Author:	Vallangca, Marie Angelica Ventura.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:	99 p.
Notes:	Source: Masters Abstracts International, Volume: 83-02.
Contained By:	Masters Abstracts International83-02.
Subject:	Civil engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28321111
ISBN:	9798534699159

A Meta-Analysis on the Constitutive Behavior of Engineered Cementitious Composite.
Vallangca, Marie Angelica Ventura.

A Meta-Analysis on the Constitutive Behavior of Engineered Cementitious Composite. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 99 p.

Source: Masters Abstracts International, Volume: 83-02.

Thesis (M.S.)--The University of Texas Rio Grande Valley, 2021.

This item must not be sold to any third party vendors.

A meta-analysis is conducted for the mechanical properties of an Engineered Cementitious Composite (ECC). ECC is a special type of fiber reinforced cementitious composites that is characterized by high ductility (3-5% strain) with 1.5-2% fiber content by volume. The brittle nature and weak tensile strength of concrete cause various damages such as cracking. ECC has superior cracking resistance considered as a sustainable alternative for construction and repair. Meta-analysis is a statistical method to remove a possible bias of a single set of data. A meta-analysis collects and analyzes a large group of data obtained from multiple investigations of the same subject, and eventually can draw highly reliable trends and conclusions. The objective of this research is to identify the relationship between the mixture design and mechanical behavior of ECC through meta-analysis. In this study, more than 500 stress-strain curves of ECC were collected from 180 technical papers. The meta-analysis revealed that a peak improvement in the tensile strength can be attained at 40% fly ash content binder. The most widely used fly ash content is 55%, and the strength of ECC with 55% fly ash is very close to the ideal mix (40% fly ash). Another observation from the meta-analysis is that the ECC data produced by various investigators show wide scattering even for the same mixture designs. The wide scattering indicates that a special care is needed for the quality control of ECC. The results from this study will accelerate practical applications of ECC technology.

ISBN: 9798534699159Subjects--Topical Terms:

860360
Civil engineering.
Subjects--Index Terms:

ECC

A Meta-Analysis on the Constitutive Behavior of Engineered Cementitious Composite.
LDR:02714nmm a2200385 4500 001 2344990
005 20220531062329.5
008 241004s2021 ||||||||||||||||| ||eng d
020 $a 9798534699159
035 $a (MiAaPQ)AAI28321111
035 $a AAI28321111
040 $a MiAaPQ $c MiAaPQ
100 1 $a Vallangca, Marie Angelica Ventura. $3 3683838
245 1 0 $a A Meta-Analysis on the Constitutive Behavior of Engineered Cementitious Composite.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 99 p.
500 $a Source: Masters Abstracts International, Volume: 83-02.
500 $a Advisor: Park, Philip.
502 $a Thesis (M.S.)--The University of Texas Rio Grande Valley, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a A meta-analysis is conducted for the mechanical properties of an Engineered Cementitious Composite (ECC). ECC is a special type of fiber reinforced cementitious composites that is characterized by high ductility (3-5% strain) with 1.5-2% fiber content by volume. The brittle nature and weak tensile strength of concrete cause various damages such as cracking. ECC has superior cracking resistance considered as a sustainable alternative for construction and repair. Meta-analysis is a statistical method to remove a possible bias of a single set of data. A meta-analysis collects and analyzes a large group of data obtained from multiple investigations of the same subject, and eventually can draw highly reliable trends and conclusions. The objective of this research is to identify the relationship between the mixture design and mechanical behavior of ECC through meta-analysis. In this study, more than 500 stress-strain curves of ECC were collected from 180 technical papers. The meta-analysis revealed that a peak improvement in the tensile strength can be attained at 40% fly ash content binder. The most widely used fly ash content is 55%, and the strength of ECC with 55% fly ash is very close to the ideal mix (40% fly ash). Another observation from the meta-analysis is that the ECC data produced by various investigators show wide scattering even for the same mixture designs. The wide scattering indicates that a special care is needed for the quality control of ECC. The results from this study will accelerate practical applications of ECC technology.
590 $a School code: 1863.
650 4 $a Civil engineering. $3 860360
650 4 $a Materials science. $3 543314
650 4 $a Mechanical engineering. $3 649730
650 4 $a Research. $3 531893
650 4 $a Failure. $3 3561225
650 4 $a Urban planning. $3 2122922
650 4 $a Emissions. $3 3559499
650 4 $a Concrete. $3 666349
650 4 $a Roads & highways. $3 3555163
650 4 $a Aggregates. $3 3564159
650 4 $a Energy. $3 876794
650 4 $a Grain size. $3 3682362
650 4 $a Green buildings. $3 3559500
650 4 $a Test methods. $3 3564811
650 4 $a Building construction. $3 2071835
650 4 $a Composite materials. $3 654082
650 4 $a Crack propagation. $3 3683840
650 4 $a Tensile strength. $3 3564816
650 4 $a Greenhouse gases. $3 797971
650 4 $a Ductility. $3 3681454
650 4 $a Strain hardening. $3 3681455
650 4 $a Design. $3 518875
650 4 $a Deformation. $2 lcstt $3 3267001
650 4 $a Reinforced concrete. $3 861675
650 4 $a Cement. $3 862625
650 4 $a Bridges. $3 868720
653 $a ECC
653 $a Fiber reinforced composite
653 $a Meta-analysis
690 $a 0543
690 $a 0794
690 $a 0548
690 $a 0791
690 $a 0389
690 $a 0999
710 2 $a The University of Texas Rio Grande Valley. $b Department of Civil Engineering. $3 3683839
773 0 $t Masters Abstracts International $g 83-02.
790 $a 1863
791 $a M.S.
792 $a 2021
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28321111