When can you use a joint probability density function in risk analysis?

Probabilistic method cannot eliminate the risk of design failure, but can help you reduce the failure risk and find the optimal choice among the feasible options. When I worked for preloading project at construction sites, I need figure out the compressible soil thickness to find the best available foundation type between shallow and deep foundations. Depending on depth and thickness of the compressible soil, I need recommend a different foundation type for the planned industrial buildings. Several boring logs, representing only at spatially isolated points and having intermittent coverage spans of the soil samples could not give me a clear answer for the accurate estimate of compressible soil thickness in general. Thus, I used the sixteen (16) settlement plate data under preloading fill, which allowed much wider area/depth coverage and continuous monitoring in conjunction with twenty five (25) 1-D consolidation test data (coefficient of consolidation) from the compressible soil samples. Joint probability function method can estimate the mean (center of output distribution) and variance (variability of output) of the compressible soil thickness based off two different random variables - settlement times (t-60%) from settlement plates and time rate coefficients of settlement (Cv) from the oedometer tests. Based on the probabilistic outputs of soil thickness, I could design deep foundation (helical pier) for the buildings instead of mat foundation after selective EBS (excavation below subgrade) in view of construction cost and construction timeline. I ensure you to get some valuable information from my experience to resolve your own project problem. My lecture will start in this March, and now receiving your enrollment. ?https://ingeoexpert.com/en/courses-online/probabilistic-analysis-for-geotechnical-environmental-civil-engineer-course/

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