Establishment of a Suitable Dynamic Formula for the Construction Control of Driven Piles and Its Calibration for Load and Resistance Factor Design PDF Download

Author: Matthew John Roling
Publisher:
ISBN:
Category : Load factor design
Languages : en
Pages : 234

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Author: Dan A. Brown
Publisher: Transportation Research Board
ISBN: 0309143357
Category : Technology & Engineering
Languages : en
Pages : 518

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Book Description
TRB’s National Cooperative Highway Research Program (NCHRP) Synthesis 418: Developing Production Pile Driving Criteria from Test Pile Data provides information on the current practices used by state transportation agencies to develop pile driving criteria, with special attention paid to the use of test pile data in the process.

Author: Pramila Adhikari
Publisher:
ISBN: 9781085629942
Category : Foundations
Languages : en
Pages : 188

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Book Description
Static Analysis methods originally developed for soils are currently used for estimating pile resistances in Intermediate Geomaterials (IGMs), and structural capacity has been considered as the limiting pile capacity on hard rocks. The application of current Load and Resistance Factor Design (LRFD) for piles in IGMs has resulted in relatively high uncertainties in pile resistance estimation during design and the length to which the piles are driven into IGMs during construction. Moreover, the absence of standard criteria to differentiate the geomaterials creates challenges in the design and construction of driven piles in IGMs. The application of a dynamic analysis method using Wave Equation Analysis Program is constrained by geomaterial input for IGMs and rocks. These current challenges have led to conservative pile resistance estimations. Thus, the overall objectives of this study were to determine efficient static analysis methods, dynamic procedures for construction control, pile setup/relaxation, and resistance factors for the estimation of the axial pile resistances in IGMs, ensuring a prescribed level of reliability to meet LRFD philosophy. To accomplish these objectives, classification criteria of geomaterials were first created to establish a standard quantitative delineation between the soils, IGMs, and hard rocks for the design of driven piles. In addition, a catalog of IGM properties was prepared to facilitate the preliminary design of piles in IGMs. Secondly, a new set of design equations were developed and validated for IGMs by utilizing the developed geomaterial classification criteria. Thirdly, wave equation analysis procedures for IGMs were recommended for pile construction control. Fourthly, changes in pile resistances in IGMs with respect to time at an End of Driving and Beginning of Restrike were assessed. Finally, probability based resistance factors were calibrated and recommended based on the efficiency factors for the existing and calibrated static analysis methods. Calibrated static analysis methods were concluded to have higher efficiency factors of 0.61, 0.30, and 0.41 against efficiency factors of 0.28, 0.09, and 0.14 corresponding to existing static analysis methods for shaft resistance estimation in IGMs. Similarly, calibrated static analysis methods were concluded to have higher efficiency factors of 0.24 and 0.48 against efficiency factors of 0.13 and 0.29 corresponding to existing static analysis methods for end bearing estimation in IGMs.

Author: Aaron S. Budge
Publisher:
ISBN:
Category : Bridges
Languages : en
Pages : 514

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Book Description
Driven piles are the most common foundation solution used in bridge construction (Paikowsky et al., 2004). Their safe use requires to reliable verification of their capacity and integrity. Dynamic analyses of driven piles are methods attempting to obtain the static capacity of a pile, utilizing its behavior during driving. Dynamic equations (aka pile driving formulas) are the earliest and simplest forms of dynamic analyses. The development and the examination of such equation tailored for MnDOT demands is presented. In phase I of the study reported by Paikowsky et al. (2009, databases were utilized to investigate previous MnDOT (and other) dynamic formulas and use object oriented programming for linear regression to develop a new formula that was then calibrated for LRFD methodology and evaluated for its performance. This report presents the findings of phase II of the study in which a comprehensive investigation of the Phase I findings were conducted. The studies lead to the development of dynamic formulae suitable for MnDOT foundation practices, its calibrated resistance factors and its application to concrete and timber piles. Phase II of the study also expanded on related issues associated with Wave Equation analyses and static load tests, assisting the MnDOT in establishing requirements and specifications.

Author: Chong Tang
Publisher: CRC Press
ISBN: 0429658397
Category : Technology & Engineering
Languages : en
Pages : 589

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Book Description
Model Uncertainties in Foundation Design is unique in the compilation of the largest and the most diverse load test databases to date, covering many foundation types (shallow foundations, spudcans, driven piles, drilled shafts, rock sockets and helical piles) and a wide range of ground conditions (soil to soft rock). All databases with names prefixed by NUS are available upon request. This book presents a comprehensive evaluation of the model factor mean (bias) and coefficient of variation (COV) for ultimate and serviceability limit state based on these databases. These statistics can be used directly for AASHTO LRFD calibration. Besides load test databases, performance databases for other geo-structures and their model factor statistics are provided. Based on this extensive literature survey, a practical three-tier scheme for classifying the model uncertainty of geo-structures according to the model factor mean and COV is proposed. This empirically grounded scheme can underpin the calibration of resistance factors as a function of the degree of understanding – a concept already adopted in the Canadian Highway Bridge Design Code and being considered for the new draft for Eurocode 7 Part 1 (EN 1997-1:202x). The helical pile research in Chapter 7 was recognised by the 2020 ASCE Norman Medal.

Author: Murad Yusuf Abu-Farsakh
Publisher:
ISBN:
Category : Load factor design
Languages : en
Pages : 126

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Author: Aaron S. Budge
Publisher:
ISBN:
Category : Bridges
Languages : en
Pages : 294

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Book Description
Driven piles are the most common foundation solution used in bridge construction across the U.S. Their use is challenged by the ability to reliably verify the capacity and the integrity of the installed element in the ground. Dynamic analyses of driven piles are methods attempting to obtain the static capacity of a pile, utilizing its behavior during driving. Dynamic equations (a.k.a. pile driving formulas) are the earliest and simplest forms of dynamic analyses. Mn/DOT uses its own pile driving formula; however, its validity and accuracy has not been evaluated. With the implementation of Load Resistance Factor Design (LRFD) in Minnesota in 2005, and its mandated use by the Federal Highway Administration (FHWA) in 2007, the resistance factor associated with the use of the Mn/DOT driving formula needed to be calibrated and established. The resistance factor was established via the following steps: (i) establishing the Mn/DOT foundation design and construction state of practice, (ii) assembling large datasets of tested deep foundations that match the state of practice established in the foregoing stage, (iii) establishing the uncertainty of the investigated equation utilizing the bias, being the ratio of the measured to calculated pile capacities for the database case histories, (v) calculating the LRFD resistance factor utilizing the method's uncertainty established in step (iv) given load distribution and target reliability. The research was expanded to include four additional dynamic formulas and the development of an alternative dynamic formula tailored for the Mn/DOT practices.

Author: Deshinka Arimena Bostwick
Publisher:
ISBN: 9781321400434
Category : Dead loads (Mechanics)
Languages : en
Pages : 234

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Book Description
The field of geotechnical engineering has evolved from Allowable Stress Design (ASD) to Load Factor and Resistance Design (LRFD) which has led to a need to quantify the measures of uncertainty and the level of reliability associated with a project. The measures of uncertainty are quantified by load and resistance factors, while the level of reliability is driven by the amount of risk an owner is willing to take and is quantified by the reliability index. The load factors are defined through structural design codes, but the resistance factors have uncertainties that can be mitigated through reliability based design. The American Association of State Highway and Transportation Officials (AASHTO) have recommended resistance factors that are dependent on the type of load tests conducted and are available as a reference to state agencies. The objective of this study was to improve the AASHTO recommended resistance factors used by the Arkansas State Highway and Transportation Department (AHTD), thereby, increasing allowable pile capacity and reducing deep foundation costs. Revised resistance factors for field acceptance based on dynamic testing were established through the analysis of pile load test data where both static and dynamic load testing was conducted. Pile load tests were separated by pile type and soil type. It was important that the load test data analyzed represented soil and geologic conditions similar to those found in Arkansas. The resistance factors determined from this analysis improved AHTD current practice, but indicated that the factors recommended by AASHTO may be unconservative for this region.

Author: Richard J. Fragaszy
Publisher:
ISBN:
Category : Piling (Civil engineering).
Languages : en
Pages : 106

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Author: Tony M. Allen
Publisher:
ISBN:
Category : Calibration
Languages : en
Pages :

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