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πŸ“™ Risk Assessment in Geotechnical Engineering by Gordon A. Fenton, D. V. Griffiths(auth.) β€” free pdf


NEW PROBABILISTIC APPROACHES FOR REALISTIC RISK ASSESSMENT IN GEOTECHNICAL ENGINEERING.

This text presents a thorough examination of the theories and methodologies available for risk assessment in geotechnical engineering, spanning the full range from established single-variable and "first order" methods to the most recent, advanced numerical developments. In response to the growing application of LRFD methodologies in geotechnical design, coupled with increased demand for risk assessments from clients ranging from regulatory agencies to insurance companies, authors Fenton and Griffiths have introduced an innovative reliability-based risk assessment method, the Random Finite Element Method (RFEM). The authors have spent more than fifteen years developing this statistically based method for modeling the real spatial variability of soils and rocks. As demonstrated in the book, RFEM performs better in real-world applications than traditional risk assessment tools that do not properly account for the spatial variability of geomaterials.

This text is divided into two parts:

Part One, Theory, explains the theory underlying risk assessment methods in geotechnical engineering. This part's seven chapters feature more than 100 worked examples, enabling you to develop a detailed understanding of the methods.

Part Two, Practice, demonstrates how to use advanced probabilistic tools for several classical geotechnical engineering applications. Working with the RFEM, the authors show how to assess risk in problems familiar to all geotechnical engineers.

All the programs used for the geotechnical applications discussed in Part Two may be downloaded from the authors' Web site at www.engmath.dal.ca/rfem/ at no charge, enabling you to duplicate the authors' results and experiment with your own data. In short, you get all the theory and practical guidance you need to apply the most advanced probabilistic approaches for managing uncertainty in geotechnical design.Content:
Chapter 1 Review of Probability Theory (pages 1–69):
Chapter 2 Discrete Random Processes (pages 71–89):
Chapter 3 Random Fields (pages 91–125):
Chapter 4 Best Estimates, Excursions, and Averages (pages 127–159):
Chapter 5 Estimation (pages 161–201):
Chapter 6 Simulation (pages 203–238):
Chapter 7 Reliability?Based Design (pages 239–262):
Chapter 8 Groundwater Modeling (pages 263–295):
Chapter 9 Flow through Earth Dams (pages 297–310):
Chapter 10 Settlement of Shallow Foundations (pages 311–346):
Chapter 11 Bearing Capacity (pages 347–371):
Chapter 12 Deep Foundations (pages 373–380):
Chapter 13 Slope Stability (pages 381–400):
Chapter 14 Earth Pressure (pages 401–413):
Chapter 15 Mine Pillar Capacity (pages 415–423):
Chapter 16 Liquefaction (pages 425–434):

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