Load and Resistance Factor Design (LRFD) for Dynamic Analyses of Driven Piles PDF Download
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Author: Kirk L. Stenersen
Publisher:
ISBN:
Category : Dynamic testing
Languages : en
Pages : 832
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Book Description
Author: Kirk L. Stenersen
Publisher:
ISBN:
Category : Dynamic testing
Languages : en
Pages : 832
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Book Description
Author: Samuel G. Paikowsky
Publisher: Transportation Research Board
ISBN: 0309087961
Category : Bridges
Languages : en
Pages : 87
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Book Description
Introduction and research approach -- Findings -- Interpretation, appraisal, and applications -- Conclusions and suggested research -- Bibliography -- Appendixes.
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: MC. McVay
Publisher:
ISBN:
Category : Foundation soils
Languages : en
Pages : 12
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Book Description
The parameters for load and resistance factor design (LRFD) of driven piles using dynamic methods are presented based on a database of 218 pile cases in Florida. Eight dynamic methods were studied: ENR, modified ENR, FDOT, and Gates driving formulas, Case Analysis with Wave Analysis Program (CAPWAP), Case Method for Pile Driving Analyzer (PDA), Paikowsky's energy method, and Sakai's energy method. It was demonstrated that the modern methods based on wave mechanics, such as CAPWAP, PDA, and Paikowsky's energy methods, are roughly twice as cost effective to reach the target reliability indices of 2.0 to 2.5 (failure probability = 0.62 to 2.5%) as the ENR and modified ENR driving formulas. The Gates formula, when used separately on piles with Davisson capacities smaller or larger than 1779 kN, has an accuracy comparable to the modern methods. The utilizable measured Davisson capacity, defined as ?/? (ratio of resistance/mean capacity) obtained from testing at beginning of redrive (BOR), is only slightly larger than the end of drive (EOD) values. Furthermore, past practice with driving formulas reveals the existence of a large redundancy in pile groups against failure. The latter suggests the use of a lower relatively reliability target index, ?T = 2.0 (pf = 2.5%) for single pile design. Also, the utilizable measured Davisson capacity, ?/?, for all the dynamic methods studied, is quite similar to published values (Lai et al. 1995; Sidi 1985) for static estimates from in situ tests.
Author: Murad Yusuf Abu-Farsakh
Publisher:
ISBN:
Category : Load factor design
Languages : en
Pages : 126
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Book Description
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: 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:
Publisher:
ISBN:
Category : Concrete bridges
Languages : en
Pages : 160
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Book Description
Author: Luo Yang
Publisher:
ISBN:
Category : Civil engineering
Languages : en
Pages : 189
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Book Description
"Driven piles are widely used as foundations for buildings, bridges, and other structures. Since 1994, AASHTO (American Association of State Highway and Transportation Officials) has been in process to change from ASD (Allowable Stress Design) method to LRFD (Load and Resistance Factor Design) method for foundation design. The adoption of LRFD approach makes possible the application of reliability analysis to quantify uncertainties associated with various load and resistance components, respectively. Although there exist some recommendations for incorporation of set-up into ASD and quality control methods for driven piles, most of these recommendations were developed purely based on the engineering experience with no attendant database and reliability analysis. A successful application of probability approach will definitely result in significant improvements on the design and quality control of driven piles. Therefore, there is a need to develop the quality control criterion and to improve the LRFD of driven piles in the framework of reliability-based analysis. In this study, the new reliability-based quality control criteria on driven piles are developed based on acceptance-sampling analysis for various pile test methods with lognormal statistical characteristics. An optimum approach is recommended for the selection of the number of load tests and the required measured capacities for quality control of various load test methods of driven piles. The databases containing a large number of pile testing data are compiled for piles driven into clay and into sand, respectively. Based on the compiled databases, a new methodology is developed to incorporate set-up into the LRFD of drive piles using FORM (First Order Reliability Method) where the separate resistance factors for measured reference capacity and predicted set-up capacity are derived to account for different degrees of uncertainties associated with these two capacity components. Based on Bayesian theory, a new methodology is developed to optimize the LRFD of driven piles by combining the results from static calculation and dynamic pile testing. Specifically, the results from dynamic pile tests are incorporated to reduce the uncertainties associated with static analysis methods by updating the resistance factors in LRFD. Finally, a new one-dimensional wave equation based algorithm to interpret High Strain Testing data for estimation of resistances of driven piles is proposed."--abstract.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
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