Muutke küpsiste eelistusi

Model Uncertainties in Foundation Design [Kõva köide]

(National University of Singapore), (National University of Singapore)
  • Formaat: Hardback, 588 pages, kõrgus x laius: 234x156 mm, kaal: 453 g, 86 Tables, black and white; 128 Line drawings, black and white; 23 Halftones, black and white
  • Sari: Challenges in Geotechnical and Rock Engineering
  • Ilmumisaeg: 17-Mar-2021
  • Kirjastus: CRC Press
  • ISBN-10: 0367111365
  • ISBN-13: 9780367111366
Teised raamatud teemal:
Model Uncertainties in Foundation DesignSuurem pilt
  • Formaat: Hardback, 588 pages, kõrgus x laius: 234x156 mm, kaal: 453 g, 86 Tables, black and white; 128 Line drawings, black and white; 23 Halftones, black and white
  • Sari: Challenges in Geotechnical and Rock Engineering
  • Ilmumisaeg: 17-Mar-2021
  • Kirjastus: CRC Press
  • ISBN-10: 0367111365
  • ISBN-13: 9780367111366
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9780367111366.html
Märksõnad:
"Geotechnical design codes worldwide are increasingly being directed to reliability-based design, for which the characterization of model uncertainty is a critical element. This practical book is based on a global load test database which provides information on the foundation, site or soil investigation, and load test results"--

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 presents the most comprehensive evaluation of the model factor mean (bias) and coefficient of variation (COV) for ultimate and serviceability limit state based on these databases. They can be used directly for AASHTO LRFD calibration.

The authors provide the most complete literature survey of performance databases for other geo-structures and their model factor statistics. A practical three-tier scheme for classifying model uncertainty 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 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.

Arvustused

"The book is written in a manner that is free of jargon and thus removes the mysticism that has dissuaded many practicing engineers to move from classical deterministic treatments of foundation design to a more robust appreciation of margins of safety that considers unavoidable uncertainty in the choice of model geotechnical input parameters and model accuracy."

-- Richard J. Bathurst, in Probabilistic Engineering Mechanics

"Nowhere else has such a vast compilation of foundation design models and databases been systematically organized and presented. ... The book can serve as a good resource for graduate (advanced) level foundation design classes".

-- Naresh C. Samtani in DFI Journal

"The authors are also to be complimented with explaining the fundamentals of foundation design and the related uncertainties in the first chapters, making the book accessible experts and relative novices in the field alike."

-- Timo Schweckendiek in Georisk

"A valuable complement to classical textbooks of foundation engineering."

-- Chang-Yu Ou in Journal of GeoEngineering

"successfully fills the existing gap of model uncertainty quantification in the roster of milestone textbooks."

-- Marco Uzielli in Rivista Italiana di Geotecnica

"It provides an insightful discussion on the role of data in the evolution of geotechnical design and situates this discussion within the larger picture of the future of the economy where data is seen as the 'new oil'."

-- Jianye Ching in Structural Safety

"we recommend highly this book to geotechnical practitioners, code developers, researchers and research students in foundation engineering."

-- Jian Chu and Xiaohui Qi in Acta Geotechnica "The book is written in a manner that is free of jargon and thus removes the mysticism that has dissuaded many practicing engineers to move from classical deterministic treatments of foundation design to a more robust appreciation of margins of safety that considers unavoidable uncertainty in the choice of model geotechnical input parameters and model accuracy."

Richard J. Bathurst, Probabilistic Engineering Mechanics

"Nowhere else has such a vast compilation of foundation design models and databases been systematically organized and presented. ... The book can serve as a good resource for graduate (advanced) level foundation design classes".

Naresh C. Samtani, DFI Journal

"The authors are also to be complimented with explaining the fundamentals of foundation design and the related uncertainties in the first chapters, making the book accessible experts and relative novices in the field alike."

Timo Schweckendiek, Georisk

"A valuable complement to classical textbooks of foundation engineering."

Chang-Yu Ou, Journal of GeoEngineering

"successfully fills the existing gap of model uncertainty quantification in the roster of milestone textbooks."

Marco Uzielli, Rivista Italiana di Geotecnica

"It provides an insightful discussion on the role of data in the evolution of geotechnical design and situates this discussion within the larger picture of the future of the economy where data is seen as the 'new oil'."

Jianye Ching, Structural Safety

"we recommend highly this book to geotechnical practitioners, code developers, researchers and research students in foundation engineering."

Jian Chu and Xiaohui Qi, Acta Geotechnica

Preface xiii
Acknowledgements xvii
1 Geotechnical Engineering in the Era of Industry 4.0
1(36)
1.1 Industry 4.0: Force of Change
1(2)
1.2 State of Civil Engineering
3(1)
1.3 Review of Geotechnical Engineering
4(9)
1.3.1 History of Geotechnical Engineering
4(2)
1.3.2 Art of Geotechnical Engineering
6(1)
1.3.3 Evolution of Design and Risk Management
7(6)
1.4 Towards Digital Transformation
13(13)
1.4.1 Role of Geotechnical Data
14(2)
1.4.2 Data Rich or Data Poor?
16(2)
1.4.2.1 Univariate/Multivariate Soil/Rock Databases
18(1)
1.4.2.2 Geotechnical Performance Databases
18(3)
1.4.3 Characteristics of Geotechnical Data
21(3)
1.4.4 Value of Geotechnical Data
24(2)
1.5 Scope and Organization
26(2)
References
28(9)
2 Evaluation and Incorporation of Uncertainties in Geotechnical Engineering
37(60)
2.1 Sources of Uncertainty
37(2)
2.2 Statistical Analysis
39(3)
2.2.1 Data Outliers
39(1)
2.2.2 Descriptive and Inferential Statistics
40(1)
2.2.3 Frequentist and Bayesian Inference
41(1)
2.3 Aleatory Uncertainty
42(11)
2.4 Epistemic Uncertainty
53(18)
2.4.1 Model Uncertainty
53(3)
2.4.1.1 Model Factor
56(3)
2.4.1.2 Removal of Statistical Dependency
59(2)
2.4.1.3 Limitations
61(1)
2.4.1.4 Bivariate Correlated Model Factors
62(2)
2.4.1.5 Transformation Uncertainty
64(5)
2.4.2 Statistical Uncertainty
69(1)
2.4.3 Measurement Error
70(1)
2.5 Incorporation of Uncertainties in Geotechnical Design
71(8)
2.5.1 Overview
71(2)
2.5.2 Reliability-Based Design
73(1)
2.5.2.1 Limit State Design
73(1)
2.5.2.2 Reliability Theory
74(2)
2.5.3 Load and Resistance Factor Design (LRFD) Calibration
76(1)
2.5.3.1 General Principle
76(2)
2.5.3.2 Ultimate Limit State (ULS)
78(1)
2.5.3.3 Serviceability Limit State (SLS)
78(1)
2.6 Conclusions
79(2)
References
81(16)
3 Basics in Foundation Engineering
97(52)
3.1 Introduction
97(2)
3.2 Types of Foundations
99(3)
3.3 Basic Principles for Foundation Design
102(5)
3.3.1 Information Requirements and Foundation Design Process
102(3)
3.3.2 General Considerations
105(1)
3.3.3 Foundation Selection -- the Five S's
105(2)
3.4 Permissible Foundation Movement
107(8)
3.4.1 Guidelines on Limiting Settlement
109(4)
3.4.2 Site-Specific Assessment
113(2)
3.5 Determination of Bearing Pressure
115(14)
3.5.1 Types of Foundation Load Tests
117(1)
3.5.2 Static Load Test (SLT)
117(1)
3.5.2.1 Head-Down Load Test
117(3)
3.5.2.2 Bi-directional SLT
120(3)
3.5.3 Rapid Load Test (RLT)
123(6)
3.5.4 Dynamic Load Test (DLT)
129(1)
3.6 Methods to Interpret SLTs
129(13)
3.6.1 Interpretation Methods for Compression Tests
130(2)
3.6.1.1 Movement Limitation
132(2)
3.6.1.2 Graphical Construction
134(1)
3.6.1.3 Mathematical Modelling
134(2)
3.6.2 Comparison of Interpretation Methods
136(3)
3.6.3 Effect of Extrapolation
139(3)
3.7 Summary
142(1)
References
143(6)
4 Evaluation of Design Methods for Shallow Foundations
149(84)
4.1 Type and Selection of Shallow Foundations
149(3)
4.1.1 Shallow Foundation Type
149(1)
4.1.2 Selection and Application of Shallow Foundations
150(2)
4.2 General Considerations in Shallow Foundation Design
152(1)
4.3 ULS: Bearing Capacity
153(18)
4.3.1 Foundations under Axial Compression
153(1)
4.3.1.1 Modes of Bearing Capacity Failure
153(3)
4.3.1.2 Category 2 Methods: Bearing Capacity Theory
156(5)
4.3.1.3 General Formula
161(1)
4.3.1.4 Failure Envelope for Combined Loading of Shallow Foundations
162(3)
4.3.2 Foundations under Uplift
165(1)
4.3.2.1 Failure Mechanisms
165(2)
4.3.2.2 Calculation Methods for Uplift Capacity
167(4)
4.4 SLS: Settlement
171(8)
4.5 Databases for Shallow Foundations
179(7)
4.5.1 Overview
179(4)
4.5.2 NUS/ShalFound/919
183(3)
4.6 Model Uncertainty in Shallow Foundation Design
186(28)
4.6.1 Background
186(1)
4.6.2 Capacity and Settlement Model Factors
187(1)
4.6.2.1 Capacity Model Statistics
187(9)
4.6.2.2 Dependency of the Capacity Model Factor on Footing Width
196(3)
4.6.2.3 Settlement Model Statistics
199(3)
4.6.3 Probabilistic Models for Model Factors and Hyperbolic Parameters
202(7)
4.6.4 LRFD Calibration
209(2)
4.6.4.1 ULS Resistance Factor
211(1)
4.6.4.2 SLS Resistance Factor
212(2)
4.7 Conclusions
214(3)
References
217(16)
5 Evaluation of Design Methods for Offshore Spudcans in Layered Soil
233(56)
5.1 Introduction
233(4)
5.1.1 Jack-Up Rig and Spudcan Foundation
233(2)
5.1.2 Difference between Conventional Shallow Foundation and Spudcan
235(2)
5.2 Vertical Bearing Capacity of Spudcan in a Single Layer
237(2)
5.2.1 Penetration in Clay
237(1)
5.2.2 Penetration in Silica Sand
238(1)
5.3 Punch-Through Failure
239(5)
5.4 Calculation of Punch-Through Capacity
244(15)
5.4.1 Sand-Over-Clay
245(1)
5.4.1.1 Calculation Methods in ISO 19905-1:2016
246(2)
5.4.1.2 Initial Stress-Dependent Models
248(3)
5.4.1.3 Failure Stress-Dependent Models
251(3)
5.4.1.4 Incorporation of Stress-Level Effect
254(2)
5.4.2 Stiff-Over-Soft Clays
256(1)
5.4.2.1 Calculation Method in ISO 19905-1:2016
256(1)
5.4.2.2 Calculation Methods in Zheng et al. (2016)
257(2)
5.5 Foundation Punch-Through Centrifuge Test Databases
259(5)
5.5.1 Shallow Foundations in Sand-over-Clay: NUS/ShalFound/Punch-Through/31
260(2)
5.5.2 Spudcan in Layered Soil: NUS/Spudcan/Punch-Through/212
262(1)
5.5.2.1 Multi-layer Clays with Sand
262(1)
5.5.2.2 Multi-layer Clays
263(1)
5.6 Model Uncertainty in Punch-Through Capacity Calculation
264(12)
5.6.1 Scatter Plot Analyses
265(1)
5.6.1.1 Load Spread and Punching Shear Models
265(3)
5.6.1.2 Okamura et al.'s (1998) Method
268(1)
5.6.1.3 Ullah et al.'s (2017a) Method
268(4)
5.6.2 Verification of the Multi-layer Soil Profile
272(2)
5.6.3 Dependency of the Model Factor on Input Parameters
274(2)
5.7 Further Verification by Numerical Analyses
276(4)
5.8 Conclusions
280(1)
References
281(8)
6 Evaluation of Design Methods for Driven Piles and Drilled Shafts
289(168)
6.1 Deep Foundation Alternatives
289(5)
6.1.1 Driven Piles
290(2)
6.1.2 Drilled Shafts
292(1)
6.1.3 Micropiks
293(1)
6.1.4 Continuous Flight Auger (CFA) Piles
293(1)
6.2 Science and Empiricism in Pile Design
294(23)
6.2.1 Basic Load-Movement Behaviour
295(1)
6.2.2 Enhanced Understanding of Displacement Pile Behaviour
296(1)
6.2.2.1 Complex Soil Stress-Strain History
296(4)
6.2.2.2 Time Dependency of Pile Capacity (Setup)
300(8)
6.2.2.3 Residual Load
308(1)
6.2.2.4 Critical Depth
309(1)
6.2.2.5 Plugging of Open Pile Sections
310(2)
6.2.2.6 Direction of Loading
312(1)
6.2.3 Rock-Socket Behaviour
313(4)
6.3 Static Analysis Methods for Pile Axial Capacity
317(24)
6.3.1 Basic Approach
318(1)
6.3.2 Category 1 Methods
319(1)
6.3.2.1 Empirical Correlations with SPT and CPTData
319(2)
6.3.2.2 Empirical Correlations with Rock Strength
321(7)
6.3.2.3 Pile Driving Formulas
328(2)
6.3.3 Category 2 Methods
330(1)
6.3.3.1 Total Stress Analysis
330(3)
6.3.3.2 Effective Stress Analysis
333(4)
6.3.3.3 K-method
337(4)
6.4 Settlement of Single Pile Foundations
341(8)
6.4.1 Category 1 Methods: Empirical Correlations
343(1)
6.4.2 Category 2 Methods: Elasticity-Based Approaches
344(2)
6.4.3 Category 3 Methods: Non-linear Load-Transfer Curves
346(3)
6.5 Deep Foundation Load Test Databases
349(16)
6.5.1 Overview of Pile Load Test Databases
349(11)
6.5.2 Integrated Pile Load Test Databases
360(3)
6.5.3 Identification of Geomaterial Type
363(1)
6.5.4 Determination of Pile Axial Capacity from SLT
364(1)
6.6 Model Uncertainty Assessment and Consideration in Pile Design
365(55)
6.6.1 Background
365(11)
6.6.2 Statistics of Capacity Model Factor
376(1)
6.6.2.1 Driven Pile
376(23)
6.6.2.2 Large Diameter Open-Ended Pile (LDOEP)
399(2)
6.6.2.3 Drilled Shaft
401(1)
6.6.2.4 Lateral Loaded Drilled Shaft
402(2)
6.6.2.5 Rock Socket
404(6)
6.6.3 Statistics of Settlement Model Factor
410(4)
6.6.4 Parameterization of Continuous Load-Movement Curves
414(1)
6.6.5 LRFD Calibration
414(6)
6.7 Conclusions
420(7)
References
427(30)
7 Evaluation of Design Methods for Helical Piles
457(62)
7.1 Introduction
457(12)
7.1.1 Background
457(3)
7.1.2 Historical and Modern Applications of Helical Piles
460(6)
7.1.3 Installation
466(1)
7.1.3.1 Equipment
466(2)
7.1.3.2 General Procedures
468(1)
7.2 Industry Survey and Evolution of Design Guidelines
469(3)
7.2.1 Results of Industry Survey
469(1)
7.2.2 Evolution of Design Guidelines
470(2)
7.3 State of Understanding of Helical Pile Behaviour
472(10)
7.3.1 Our Current Understanding -- "What We Know"
472(1)
7.3.1.1 Failure Mechanism -- Cylindrical Shear or Individual Plate Bearing?
473(3)
7.3.1.2 Shallow or Deep Failure under Uplift
476(1)
7.3.1.3 Installation Disturbance Effect on Soil Properties
477(4)
7.3.1.4 Contribution and Efficiency of Helix to Gross Capacity
481(1)
7.3.2 Areas Needing More Work -- "What We Don't Know"
482(1)
7.4 Calculation Methods for Axial Capacity
482(7)
7.4.1 General
482(1)
7.4.1.1 Cylindrical Shear Method
482(1)
7.4.1.2 Individual Bearing Method
483(1)
7.4.2 Category 1 Methods
484(1)
7.4.2.1 Empirical Capacity-to-Torque Correlation
484(1)
7.4.2.2 Empirical Correlations with In Situ Test Data
485(1)
7.4.3 Category 2 Methods
486(1)
7.4.3.1 Helix Capacity
486(2)
7.4.3.2 Shearing Resistances along the Pile Shaft and Soil Cylinder
488(1)
7.5 Axially Loaded Helical Pile Load Test Database
489(3)
7.5.1 Compilation of Database -- NUS/HelicalPile/1113
489(1)
7.5.1.1 CTL\Thompson Data
489(1)
7.5.1.2 EBS-AFC-HPA Data
490(1)
7.5.1.3 Reference Data
490(1)
7.5.2 Interpretation of Axial Capacity
491(1)
7.6 Model Uncertainty Assessment and Consideration in Helical Pile Design
492(14)
7.6.1 Evaluation of Capacity Model Factor
497(4)
7.6.2 Parameterization of Continuous Load-Movement Curves
501(3)
7.6.3 Application of Model Statistics for Reliability Calibration
504(2)
7.7 Conclusions
506(3)
References
509(10)
8 Summary and Conclusions
519(40)
8.1 Generic Foundation Load Test Database
519(2)
8.2 Model Factor Statistics for Other Geostructures
521(13)
8.2.1 Resistance of Reinforced Soil Structures
521(10)
8.2.2 Embedment Depth of Cantilever Retaining Walls
531(1)
8.2.3 FS for Slope and Base Heave Stability
531(2)
8.2.4 Wall and Ground Movement
533(1)
8.3 Revision of the JCSS Probabilistic Model Code and Classification
534(7)
8.4 Challenges and Concluding Remarks
541(7)
8.4.1 Challenges
542(1)
8.4.2 Technological Innovations in Geotechnical Practice
543(2)
8.4.3 Concluding Remarks
545(3)
References
548(11)
Appendix: Data Availability Statement 559(6)
Index 565
Chong Tang is Senior Research Fellow in the Department of Civil and Environmental Engineering at the National University of Singapore.

Kok-Kwang Phoon is Distinguished Professor and Senior Vice Provost for Academic Affairs at the National University of Singapore.