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Featured researches published by David B. Garber.


Aci Structural Journal | 2015

Experimental Investigation of Prestress Losses in Full-Scale Bridge Girders

David B. Garber; José M. Gallardo; Dean Deschenes; Oguzhan Bayrak

An experimental study was conducted in which 30 full-scale, precast, pretensioned bridge girders were constructed and instrumented with the intention of investigating prestress loss. Several different precast beam fabrication plants were used to investigate the influence of different concrete materials and construction techniques. The constructed girders were conditioned in several different climates for up to 3 years. During this period, prestress loss was measured by using vibrating wire gauges (VWG) embedded in test specimens. Following the conditioning period, the girders were flexural service load-tested to quantify the prestress loss at the time of testing and in turn verify the losses measured using VWGs. Prestress losses were found to be heavily influenced by concrete stiffness, which was dependent on coarse aggregate type and quantity. The measured short- And long-term prestress losses were compared to those determined using several different estimation procedures, suggested by ACI Committee 423.


Aci Structural Journal | 2016

Prestress loss database for pretensioned concrete members

David B. Garber; José M. Gallardo; Dean Deschenes; Oguzhan Bayrak

A comprehensive experimental database containing 237 specimens from 27 different research studies was assembled during a larger research effort undertaken at the University of Texas at Austin to investigate three different short-term loss and four different longterm loss estimation procedures. The assembled database was filtered to eliminate specimens with incomplete information or those not adequately representing those found in the field (as a result of either being too small or overstressed at release). The specimens contained within this filtered database offered a diversity of characteristics well representative of beams found in bridges. This database was used to evaluate several different short-and longterm loss estimation procedures. The results of these evaluations can help to aid the designer in selection of an appropriate procedure for estimating prestress loss.


Aci Structural Journal | 2015

INVERTED-T BEAMS: EXPERIMENTS AND STRUT-AND-TIE MODELING

Nancy Larson Varney; Eulalio Fernández-Gómez; David B. Garber; Wassim M. Ghannoum; Oguzhan Bayrak

Contrary to rectangular deep beams, inverted-T beams are loaded on a ledge at the bottom chord of the beam. This loading configuration induces a tension field into the web and the resulting complex strain distribution renders sectional design provisions inadequate. The applicability of strut-and-tie modeling (STM), developed for rectangular deep beams and simpler, two-dimensional designs, was evaluated. An experimental study was conducted in which 33 tests were performed on 22 large-scale reinforced concrete inverted-T beams and the effects of the following variables were investigated: ledge geometry, quantity of web reinforcement, number of point loads, member depth, and shear span-depth ratio. It was concluded that strut-and-tie modeling, although developed for much simpler structural components, offers a simple and accurate design method for the more complex strain distributions in inverted-T beams. The STM provisions developed for rectangular beams accurately captured both failure mode and ultimate capacity and are recommended for use in inverted-T beam design, as a major conclusion of this research.


10th International Conference on Mechanics and Physics of Creep, Shrinkage, and Durability of Concrete and Concrete StructuresRILEMAmerican Society of Civil Engineers | 2015

Simplified Element-Based Model to Estimate Strain-Related Prestress Loss in Pretensioned Simply Supported Bridge Girders

José M. Gallardo; David B. Garber; D. Deschenes; O. Bayrak

While models to study prestress losses based on cylinder data are valuable for their flexibility and ability to investigate micro-phenomena, calibration of models based on girder data is also valuable for some applications. More specifically, data obtained from the monitoring of girders captures the effects of physical phenomena taking place within a girder section, effects that are not accurately captured with cylinder testing (e.g. irregular sectional geometry and variable stress history). While general methods are aimed at a broad range of cases, it is intuitive that less complexity is necessary in a method aimed to a singular type of structure. The development of such a method, for use on pretensioned, simply-supported girders is briefly summarized herein. This model provides simple numerical estimates for strain-related prestress losses, and retains the transparency of basic creep and shrinkage models. The model was calibrated using full-scale structural test data.


Archive | 2013

Effect of New Prestress Loss Estimates on Pretensioned Concrete Bridge Girder Design

David B. Garber; José M. Gallardo; Dean Deschenes; David Dunkman; Oguzhan Bayrak


Aci Structural Journal | 2014

Experimental Evaluation of Strut-and-Tie Model of Indeterminate Deep Beam

David B. Garber; José M. Gallardo; Guillermo D. Huaco; Vasileios A. Samaras; J E Breen


Archive | 2012

Effects of New Prestress Loss Predictions on TxDOT Bridges

Oguzhan Bayrak; David B. Garber; José M. Gallardo; Dean Deschenes; David Dunkman


Corrosion | 2017

An Approach to Detect Steel Corrosion in Concrete Using Global Strain Measurement

Dewan Z. Hossain; Kingsley Lau; David B. Garber


Aci Structural Journal | 2017

Performance of Ledges in Inverted-T Beams

David B. Garber; Nancy Larson Varney; Eulalio Fernandez Gomez; Oguzhan Bayrak


Aci Structural Journal | 2016

Strength and Serviceability Performance of Self-Consolidating Concrete Bridge Girders

David B. Garber; José M. Gallardo; Dean Deschenes; Oguzhan Bayrak

Collaboration


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Oguzhan Bayrak

University of Texas at Austin

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José M. Gallardo

Technological University of Panama

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Wassim M. Ghannoum

University of Texas at Austin

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Nancy Larson

University of Texas at Austin

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Dewan Z. Hossain

Florida International University

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J E Breen

University of Texas at Austin

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Kingsley Lau

Florida International University

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