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Setting the problem

Consider a shell whose mid-surface occupies a domain where [Pg.138]

In what follows the Kirchhoff-Love model of the shell is used. We identify the mid-surface with the domain in R . However, the curvatures of the shell are assumed to be small but nonzero. For such a configuration, following (Vol mir, 1972), we introduce the components of the strain tensor for the mid-surface, [Pg.138]

The components of the stresses integrated across the shell can be written as follows  [Pg.139]

The above representation for the shell energy contains three different terms describing the bending energy of the shell, the deformation energy of the middle surface, and the work done by the exterior force /, respectively. [Pg.139]

Here [IP] = 1P+ — 1P , where IP are the quantities of IP evaluated at the positive and negative crack faces with respect to Notice that the function w also has different values at the opposite crack faces of T,, in general. [Pg.139]


Only two sets of rate data are available for vinylidene substitution, and each set is minimal, consisting of only four points. It is not surprising then that significant correlations were not obtained for these sets. The problem of vinylidene rate data has received very little attention. Further investigation in this area would be very welcome. [Pg.93]

Next, realize that this problem is a limiting-reactant problem. That is, one of the two reactants will run out first, and when that happens, the reaction will stop. You need to determine which one of the reactants will run out first. To do this, you need to be able to compare them on a 1 1 basis. But their coefficients are different, so you need to relate both reactants to a common product, say Ba3(As04)2. Set the problem up like this ... [Pg.46]

If in addition to the binary assumption on P x, sensor errors are normally distributed and independent across the data sets, the problem becomes our typical nonlinear least squares data reconciliation problem ... [Pg.220]

The third stage involves the use of a sophisticated commercial molecular modeling package to explore a more complex chemical problem in a laboratory setting. The problem posed in this stage should also lead the student to increased chemical and physical insight. [Pg.233]

The large room acts like a blackbody at 20°C, so for analysis purposes we can assume the hole is covered by an imaginary black surface S at 20°C. We shall set the problem up for a numerical solution for the radiosities and then calculate the heat-transfer rates. After that, we shall examine an insulated-surface case for this same geometry. [Pg.450]

Let us set the problem of maximizing the extent of reaction, Ci, in the final product. We shall need to separate the adiabatic part of the sequence from the preheater and put... [Pg.101]

It is also possible to overconstrain the problem. For example, if we set the problem... [Pg.23]

Just to set the problem in a clear way for further considerations, we give in Fig. 5 the potential surface for the wild-type enzyme using pAias of 5.0 and 9.0 for (H20)a and Lys64 (taken from Ref. 50) and pKa — 0 for (H20), evaluated by the PDLD/S-LRA method as described in the previous section. [Pg.274]

Buonaccorsi (1995) present equations for using Option 2 or 3 for the simple linear regression model. In summary, measurement error is not a problem if the goal of the model is prediction, but keep in mind the assumption that the predictor data set must have the same measurement error distribution as the modeling data set. The problem with using option 2 is that there are three variance terms to deal with the residual variance of the model, a2, the uncertainty in 9, and the measurement error in the sample to be predicted. For complex models, the estimation of a corrected a2 may be difficult to obtain. [Pg.83]

Once the analyst is satisfied that the model provides an adequate fit to the model building data set, further validation techniques that test the quality of the model may then be applied. Most validation methods are based on a comparison between predictions or simulated data under the observed model and its associated data set to some other set of data. Thus the conclusions drawn from these methods are based on the concept of similarity, i.e., the results are similar between two different data sets. The problem is that no hard criteria exists for what constitutes similar and may become almost uninterpretable. This leads to a fundamental difference between the developer of the model and the end user of the model. To the analyst, the definition of validation then becomes one of shades of gray, whereas the user wants a dichotomous outcome, i.e., the model is validated or it is not validated. It then becomes paramount for the modeler to be able to effectively communicate to the user why validation isn t a yes/no outcome, but an outcome of degrees. Usually to a naive-user, if validation... [Pg.251]

Using the fact that the vibrational functions of each electronic energy surface form a complete orthonormal set (the problem of the continuum may be by-... [Pg.189]

Now it so happened that Friedrich Wdhlerj was, at this time, interested in del Rio s brown lead and had found something new in it when he was compelled, by temporary indisposition, due to inhalation of hydrofluoric acid vapour, to set the problem on one side. In 1831 he established the identity of SefstrOm s vanadium... [Pg.237]

The MOs are themselves expressed as linear combinations of atomic orbitals (AOs) the latter are usually a basis set of known functions. With a given basis set, the problem of variationally optimizing the energy transforms into that of finding the coefficients of the orbitals. Expressed in matrix form in an AO basis, and in the independent particle approximation of Hartree-Fock theory, this leads to the well-known self-consistent field (SCF) equations. [Pg.43]

Chemical analysis determines analytical water composition, which is usually brought to molal or equivalent concentrations. In actuality analysis components describe the contents only of basis and ignore their numerous secondary forms, which are destroyed in analysis. In 1963-1964 Sergey Btusilovsky (born in 1936) and Harold Helgeson (1931-2007) showed that for the solution of hydrochemical problems it is necessary to use not analytical but real ground water composition. Thereby they set the problem of the determination of this real composition of natural waters from their analytical composition and indicated the direction of its solution. [Pg.125]

The routes leading from lactone A have the advantage of a chiral source of starting materials. With the two chiral centers at C24 and C25 set, the problem reduces down to elaborating the B ring with the appropriate substituents. An early solution was provided in an unusual cyclization of the B ring via an intramolecular Michael addition to the unsaturated aldehyde formed from a nitrile oxide 1,3-dipolar cycloaddition to the allyl methyl ketal of lactone A [76]. This clever use of relative stereocontrol provided by the highly constrained and predictable transition states of both key reactions unfortunately resulted in a low yield. A more conventional approach conceptualized the addition of a sulfoxide [77] to 2 to yield a masked diol-ketone precursor which cyclizes under acidic catalysis. Elimination of the sulfoxide permitted the introduction of the hydroxy substituent at C19 of the spiroketal. [Pg.79]

Why is the analysis of degrees of freedom important To mathematically solve the materials balance problem we need to solve a set of equations and as mentioned to set the problem we need to reach the state of OF = 0. For example if the degrees of freedom are 2, then, we have the freedom to fix two variables in the process. Even though, when DF> 0 you have the freedom to fix some variables (e.g. if DF = 4 you can fix four variables) your freedom is limited. Yes, you will be able to fix four variables but with limitations. Why For example all mass flow rates should be positive numbers, all mass fractions should be positive, the sum of all mass fractions in a stream should be 1, etc. We will further analyte these limitations. [Pg.153]

As a first step, the simulation of a mineral-aqueous interface requires treatment of the issue of surface hydroxylation, which is fundamentally tied to the dissociation of water and the energetics of acid-base reactions on mineral surfaces (Blesa et al. 2000). Even just setting the problem up requires some knowledge of the protonation states of the oxide ions at the surface are they aquo, hydroxo, or oxo functional groups If one cannot describe the processes behind Figure 1, it is not possible to go further. This description is... [Pg.171]

For an approximate overview, the stabilization energy due to basis set superposition error in the case of relatively small basis sets (6-31G ) will likely be of the order of 1 kcal/mol for small molecules containing three or four first-row atoms and increasingly larger for larger molecules. For larger basis sets, the problem tends to be reduced in importance, but it really doesn t go away for basis sets commonly used at present. [Pg.304]

The LCAO basis set is used to solve both the eigenvalue problem and the Poisson equation as well. We noticed that with this basis set the problem is less well numerically conditioned than the OCE, and this reflects in some difficulties to extract the continuum wave-function from equation (14). This problem is solved if... [Pg.312]


See other pages where Setting the problem is mentioned: [Pg.130]    [Pg.138]    [Pg.271]    [Pg.12]    [Pg.202]    [Pg.484]    [Pg.43]    [Pg.148]    [Pg.152]    [Pg.194]    [Pg.826]    [Pg.304]    [Pg.172]    [Pg.110]    [Pg.272]    [Pg.4]    [Pg.80]    [Pg.732]    [Pg.35]    [Pg.95]    [Pg.25]    [Pg.139]    [Pg.291]    [Pg.139]    [Pg.1153]    [Pg.96]   


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Problem sets

Problem setting

The setting

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