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Utilizing Load Tests and Site Investigation Data to Predict Design Load Capacities for Drilled Shafts in Different Geologic Formations.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Utilizing Load Tests and Site Investigation Data to Predict Design Load Capacities for Drilled Shafts in Different Geologic Formations./
Author:	Salman, Hosam.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:	394 p.
Notes:	Source: Dissertations Abstracts International, Volume: 83-05, Section: B.
Contained By:	Dissertations Abstracts International83-05B.
Subject:	Geotechnology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28826570
ISBN:	9798544286134

Utilizing Load Tests and Site Investigation Data to Predict Design Load Capacities for Drilled Shafts in Different Geologic Formations.
Salman, Hosam.

Utilizing Load Tests and Site Investigation Data to Predict Design Load Capacities for Drilled Shafts in Different Geologic Formations. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 394 p.

Source: Dissertations Abstracts International, Volume: 83-05, Section: B.

Thesis (Ph.D.)--The University of Texas at Arlington, 2021.

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

A precise prediction of design capacities of a drilled shaft on weak rock formations is vital for a better design of foundations. Irregularities in rock formations due to weathering cause high discrepancy in actual bearing capacities. The evaluation of bearing capacity of these rocks typically requires frequent in-situ testing using load test shafts at smaller intervals that are time consuming and expensive. The typical current design in Texas utilizes in-situ design charts that are developed based on Texas Cone Penetrometer (TCP) blow counts. This approach is found to have limitations related to maximum number of blows, rock characterization, and incorporating influential parameters. The presence of problematic soils in the central-north Texas region often leads the practitioners to choose deep foundations. The current utilized design charts do not distinguish between the various types of rock or degradable materials such as Intermediate Geomaterials (IGM) or shale formations. Also, utilization of present software for deep foundation capacity design does not incorporate all the influential parameters.This research further discusses the advantages of latest load tests on drilled shafts performed in various design build projects in United States of America and on various types of geology formations. Several loads tests such as Statnamic and Bi-Directional (O-cell) Load Cell Testing (Osterberg) have been performed on various geological formations distributed across Dallas-Fort Worth area. The principal goal of this research is to improve methods to predict drilled shaft design capacities by accounting for the geologic formations and learning from past projects. The following objectives were achieved to fulfil this goal: I. Compile database to employ statistical learning methods: The applicability of a statistical learning outcome relies heavily on the type of database used. Currently there are no databases that contain site investigation data in conjunction with load test data from drilled shaft projects. A database of site investigation data and load test data was compiled from projects undertaken in various geologic formations including Shale, Woodbine Shale, Sandstone, and Limestone. About 22 projects used for regression and validation. About 38 load tests performed within United States of America were used in this research. II. Develop statistical correlations between TCP, unconfined (uniaxial) compressive strength (Qun), dry unit weight, moisture content, Recovery, Rock Quality Designation (RQD), skin friction, and end bearing. About 96 predicted equations have been developed to accommodate the various geologic formations. III. Develop design charts to predict drilled shaft capacities accounting for geologic formations and weathered conditions.

ISBN: 9798544286134Subjects--Topical Terms:

1018558
Geotechnology.
Subjects--Index Terms:

Drilled shafts

Utilizing Load Tests and Site Investigation Data to Predict Design Load Capacities for Drilled Shafts in Different Geologic Formations.
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500 $a Source: Dissertations Abstracts International, Volume: 83-05, Section: B.
500 $a Advisor: Puppala, Anand J.;Chittoori, Bhaskar.
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506 $a This item must not be sold to any third party vendors.
520 $a A precise prediction of design capacities of a drilled shaft on weak rock formations is vital for a better design of foundations. Irregularities in rock formations due to weathering cause high discrepancy in actual bearing capacities. The evaluation of bearing capacity of these rocks typically requires frequent in-situ testing using load test shafts at smaller intervals that are time consuming and expensive. The typical current design in Texas utilizes in-situ design charts that are developed based on Texas Cone Penetrometer (TCP) blow counts. This approach is found to have limitations related to maximum number of blows, rock characterization, and incorporating influential parameters. The presence of problematic soils in the central-north Texas region often leads the practitioners to choose deep foundations. The current utilized design charts do not distinguish between the various types of rock or degradable materials such as Intermediate Geomaterials (IGM) or shale formations. Also, utilization of present software for deep foundation capacity design does not incorporate all the influential parameters.This research further discusses the advantages of latest load tests on drilled shafts performed in various design build projects in United States of America and on various types of geology formations. Several loads tests such as Statnamic and Bi-Directional (O-cell) Load Cell Testing (Osterberg) have been performed on various geological formations distributed across Dallas-Fort Worth area. The principal goal of this research is to improve methods to predict drilled shaft design capacities by accounting for the geologic formations and learning from past projects. The following objectives were achieved to fulfil this goal: I. Compile database to employ statistical learning methods: The applicability of a statistical learning outcome relies heavily on the type of database used. Currently there are no databases that contain site investigation data in conjunction with load test data from drilled shaft projects. A database of site investigation data and load test data was compiled from projects undertaken in various geologic formations including Shale, Woodbine Shale, Sandstone, and Limestone. About 22 projects used for regression and validation. About 38 load tests performed within United States of America were used in this research. II. Develop statistical correlations between TCP, unconfined (uniaxial) compressive strength (Qun), dry unit weight, moisture content, Recovery, Rock Quality Designation (RQD), skin friction, and end bearing. About 96 predicted equations have been developed to accommodate the various geologic formations. III. Develop design charts to predict drilled shaft capacities accounting for geologic formations and weathered conditions.
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