000			04471cam a2200265 a 4500
999			_c3132 _d3132
005			20210112105344.0
008			071030s2008 njua b 001 0 eng
020			_a0470178205 (cloth)
020			_a9780470178201 (cloth)
041			_aeng
082	0	0	_a624.1/51
100	1		_aFenton, Gordon A. _939423
245	1	0	_aRisk assessment in geotechnical engineering / _cGordan A. Fenton, D.V. Griffiths.
260			_aHoboken, N.J. : _bJohn Wiley & Sons, _cc2008.
300			_axvii, 461 p.
505			_a Part 1: Theory— Chapter 1: Review Of Probability Theory— 1.1 Introduction— 1.2 Basic Set Theory— 1.3 Probability— 1.4 Conditional Probability— 1.5 Random Variables And Probability Distributions— 1.6 Measures Of Central Tendency, Variability, And Association— 1.7 Linear Combinations Of Random Variables— 1.8 Functions Of Random Variables— 1.9 Common Discrete Probability Distributions— 1.10 Common Continuous Probability Distributions— 1.11 Extreme-Value Distributions— Chapter2: Discrete Random Processes— 2.1 Introduction— 2.2 Discrete-Time, Discrete-State Markov Chains— 2.3 Continuous-Time Markov Chains— 2.4 Queueing Models— Chapter 3: Random Fields— 3.1 Introduction— 3.2 Covariance Function— 3.3 Spectral Density Function— 3.4 Variance Function— 3.5 Correlation Length— 3.6 Some Common Models— 3.7 Random Fields In Higher Dimensions— Chapter 4: Best Estimates, Excursions, And Averages— 4.1 Best Linear Unbiased Estimation— 4.2 Threshold Excursions In One Dimension— 4.3 Threshold Excursions In Two Dimensions. – 4.4 Averages. – Chapter 5: Estimation. – 5.1 Introduction. – 5.2 Choosing A Distribution. – 5.3 Estimation In Presence Of Correlation. – 5.4 Advanced Estimation Techniques. Chapter 6: Simulation. – 6.1 Introduction. – 6.2 Random-Number Generators. – 6.3 Generating Nonuniform Random Variables. – 6.4 Generating Random Fields. – 6.5 Conditional Simulation Of Random Fields. – 6.6 Monte Carlo Simulation. – Chapter 7: Reliability-Based Design. – 7.1 Acceptable Risk. – 7.2 Assessing Risk. 7.3 Background To Design Methodologies. – 7.4 Load And Resistance Factor Design. – 7.5 Going Beyond Calibration. – 7.6 Risk-Based Decision Making. – Part 2: Practice. – Chapter 8: Groundwater Modeling. 8.1 Introduction. – 8.2 Finite-Element Model. – 8.3 One-Dimensional Flow. – 8.4 Simple Two-Dimensional Flow. – 8.5 Two-Dimensional Flow Beneath Water-Retaining Structures. – 8.6 Three-Dimensional Flow. – 8.7 Three Dimensional Exit Gradient Analysis. – Chapter 9: Flow Through Earth Dams. – 9.1 Statistics Of Flow Through Earth Dams. – 9.2 Extreme Hydraulic Gradient Statistics.— Chapter 10: Settlement Of Shallow Foundations. – 10.1 Introduction. – 10.2 Two-Dimensional Probabilistic Foundation Settlement. – 10.3 Three-Dimensional Probabilistic Foundation Settlement. – 10.4 Strip Footing Risk Assessment. – 10.5 Resistance Factors For Shallow-Foundation Settlement Design. – Chapter 11: Bearing Capacity. – 11.1 Strip Footings On C-O Soils. – 11.2 Load And Resistance Factor Design Of Shallow Foundations. – 11.3 Summary. – Chapter 12: Deep Foundations. – 12.1 Introduction. – 12.2 Random Finite-Element Method. – 12.3 Monte Carlo Estimation Of Pile Capacity. – 12.4 Summary. – Chapter 13: Slope Stability. – 13.1 Introduction. – 13.2 Probabilistic Slope Stability Analysis. – 13.3 Slope Stability Reliability Model. – Chapter 14: Earth Pressure. – 14.1 Introduction. – 14.2 Passive Earth Pressures. – 14.3 Active Earth Pressures: Retaining Wall Reliability. – Chapter 15: Mine Pillar Capacity. – 15.1 Introduction. – 15.2 Literature. – 15.3 Parametric Studies. – 15.4 Probabilistic Interpretation. – 15.5 Summary. Chapter – 16: Liquefaction. – 16.1 Introduction. – 16.2 Model Size: Soil Liquefaction. – 16.3 Monte Carlo Analysis And Results. – 16.4 Summary – Part 3: Appendixes. Appendix
650		0	_aSoil mechanics. _935975
650		0	_aRock mechanics. _935614
650		0	_aGeotechnical engineering. _939424
650		0	_aRisk assessment. _939425
700	1		_aGriffiths, D. V. _937213
856	4	2	_uhttp://www.loc.gov/catdir/enhancements/fy0811/2007044825-d.html
856	4	1	_uhttp://www.loc.gov/catdir/enhancements/fy0811/2007044825-t.html
942			_cBK