Sources of Uncertainty in Site Characterization and Their Impact on Geotechnical Reliability-Based Design
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Article number | 04017024 |
Journal / Publication | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering |
Volume | 3 |
Issue number | 4 |
Online published | 19 Aug 2017 |
Publication status | Published - Dec 2017 |
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Abstract
Different variabilities and uncertainties (e.g., inherent variability, measurement errors, statistical uncertainty, and transformation uncertainty) in site characterization are usually lumped together as total variability and used subsequently in geotechnical reliability-based design or probabilistic geotechnical analysis. However, only the inherent variability affects the observed performance of geotechnical structures. Knowledge uncertainties (i.e., measurement errors, statistical uncertainty, and transformation uncertainty) have no impact on performance of geotechnical structures, although they may significantly affect the calculated failure probability or risk. In this paper, a comparative study is performed using the total variability approach, which lumps various uncertainties together, and the Bayesian inverse analysis approach, which explicitly characterizes inherent variability, to perform probabilistic characterization of effective friction angle from cone penetration test (CPT) results. The probabilistic characterization results from the two approaches are used in a Eurocode 7 evaluation example of foundation design to explore their impacts on reliability-based design of foundation. It is found that the total variability approach leads to much larger uncertainty in geotechnical properties than the Bayesian inverse analysis approach. Consequently, the total variability approach leads to larger calculated failure probabilities for the foundation and subsequently produces a foundation design that is much more conservative than those from the Bayesian inverse analysis approach.
Research Area(s)
- Bayesian inverse analysis, Foundations, Reliability-based design, Statistical analysis, Total variability, UNIAXIAL COMPRESSIVE STRENGTH, PROBABILISTIC CHARACTERIZATION, YOUNGS MODULUS, VARIABILITY, MODEL, ROCK, SOIL, SELECTION
Citation Format(s)
Sources of Uncertainty in Site Characterization and Their Impact on Geotechnical Reliability-Based Design. / Aladejare, Adeyemi Emman; Wang, Yu.
In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, Vol. 3, No. 4, 04017024, 12.2017.
In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, Vol. 3, No. 4, 04017024, 12.2017.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review