In: Civil Engineering

Determining the value of bearing capacity factor Nq from field studies is not easily accomplished. Why?

Need explanation and step by step solution and without
plagrism

**The value of bearing capacity factor Nq from field
studies is not easily accomplished because-**

The uncertainties and quality of bearing capacity factor Nq for shallow foundation is difficult to analyse.

The models analysis with different modelling approaches such as the analytical model, semi-empirical model, empirical model, finite difference model, upper bound limit model and lower bound with finite element model etc. can be applied for analysis of bearing capacity factor Nq.

The uncertainty in the estimation of input parameters studies is performed forst using multivariate information through multiple correlation, in order to determine the parameters that contribute to the uncertainties of the model prediction.

The uncertainties of the bearingcapacity factor prediction for all models are compared and reveal significant differences.

The consideration of parameter and model uncertainties, a measure for the total variation of the model response is achieved finally.

The results show that more inaccurate the input parameters are,the more uncertain the estimated model quality prediction becomes.

With increasing model uncertainty, the quality of the model also decreases and it affects results also.

It is observed that the model quality decreases with an increases in the friction angle.

The model and parameter uncertainties are important properties that have to be considered while choosing a reliable and safe model application.

The possible sources of uncertainties includes inherent variabilities, measurement errors and modeling or transformation uncertainties.

More economical geotechnical designs can be obtained by
estimating uncertainties through site investigation by estimating
uncertainties in soil shear strength.

Buismann and Terzaghi adopted the solution for metal punching
proposed by Prandtl and applied it to the foundation bearing
capacity problem.

They defined three term bearing capacity equation by superposition of the effects of soil cohesion, soil surcharge and the weight of soil, respectively.

The quality of the prediction and reliability of the field analysis, is mainly dependent on the choice of the appropriate models and their coupling.

The decision regarding which model is suitable for a specific application is often based on the experience of the engineer or is made on the basis of experimental data.

The cost of performing experiments is high and also the direct measurement of the bearing capacity factor cannot be obtained experimentally always it is due to the limitations of the test procedures.

A method for quantifying the model quality is generally not available for obtaining bearing facors without measurement.

The calculation is based on total uncertainty of the estimated bearing capacity of the soil.

The total uncertainty is consist of parameter and model uncertainty. The uncertainty analysis considers the complexity of the models and the influence of uncertain input parameters on the model output .

A reference model is generslly used in order to evaluate the deterministic differences in the prognosis to determine the epistemic uncertainty.

The experimental data can be used for this purpose, but there is usually a lack of specific experimental data for the field study.

Please explain why the fractional distillation of two components is
easily accomplished if the components have boiling points that
differ 20Celsus or more . Please also draw a phase diagram.

An undisturbed core of soil at field capacity was taken from a
field site had a wet weight of 420 g. The following information was
measured in the lab. The oven dry wt of the soil = 345 g Bulk
Density = 1.15 g/cm3 What is the moisture content of the soil on a
volume basis (volumetric water content Theta v)

Soil samples from nine locations at a site are taken to
determine the bearing capacity in kN/m^2. The results are
summarized:
23.1, 42.4, 30.3, 31.0, 28.4, 39.3, 32.4, 27.4, 38.0
(a) Estimate the mean, standard deviation, and COV of the
data
(b) Compute the standard error of the mean.
(c) Establish 95 percent confidence intervals for the mean.
(d) Using the COV from (a) how many samples must be tested to
have +/- 10 percent error for the mean at...

Are the following statements true or false, and why?
1- The main factor in determining acceptable audit risk is the
assessed level of control risk and inherent risk. 2- If inherent
risk increases for a client, then control risk will increase 3- If
planned detection risk increases for a client and other things
remain equal, less audit evidence collection and testing will be
required

Why is interest rate important in determining the future value
of money?
What are your opportunity cost associated with buying a home vs
renting?

Some issues receive significant attention from decision
makers. Why might these issues easily find their way onto decision
makers' agendas?

1.Why Operating Assets are important in determining Market Value
of firm of firm? Specially in Insurance industry
2. Why Operating Income is important in determining Market Value
of firm of firm? Specially in Insurance industry
3.Why Net Income is important in determining Market Value of
firm of firm? Specially in Insurance industry
4.Why Return on equity is important in determining Market Value
of firm of firm? Specially in Insurance industry
5.Why Return on Assets is important in determining Market Value...

why might there be intrinsic value in obtaining knowledge
outside of one's chosen field of expertise?

(1) Related parties are a major factor in assessing inherent
risk. Why? (2) Fair value accounting may be a major factor in
assessing both inherent risk and even control risk. Discuss how the
extensive use of fair value accounting could affect both inherent
risk and control risk.

Describe one of the factor styles (size, quality, low
volatility, value, momentum) and why investors believe the factor
has predictive power

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