示例#1
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def TipAsym_UniversalW_delt_Res(w, *args):
    """The residual function zero of which will give the General asymptote """

    (dist, Kprime, Eprime, muPrime, Cbar, Vel) = args

    Kh = Kprime * dist**0.5 / (Eprime * w)
    Ch = 2 * Cbar * dist**0.5 / (Vel**0.5 * w)
    sh = muPrime * Vel * dist**2 / (Eprime * w**3)

    g0 = f(Kh, 0.9911799823 * Ch, 10.392304845)
    delt = 10.392304845 * (1 + 0.9911799823 * Ch) * g0

    C1 = 4 * (1 - 2 * delt) / (delt * (1 - delt)) * np.tan(np.pi * delt)
    C2 = 16 * (1 - 3 * delt) / (3 * delt *
                                (2 - 3 * delt)) * np.tan(3 * np.pi * delt / 2)
    b = C2 / C1

    return sh - f(Kh, Ch * b, C1)
示例#2
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def TipAsym_UniversalW_zero_Res(w, *args):
    """Function to be minimized to find root for universal Tip assymptote (see Donstov and Pierce 2017)"""
    (dist, Kprime, Eprime, muPrime, Cbar, Vel) = args

    Kh = Kprime * dist**0.5 / (Eprime * w)
    Ch = 2 * Cbar * dist**0.5 / (Vel**0.5 * w)
    g0 = f(Kh, 0.9911799823 * Ch, 6 * 3**0.5)
    sh = muPrime * Vel * dist**2 / (Eprime * w**3)

    return sh - g0
示例#3
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def TipAsym_UniversalW_delt_Res(w, *args):
    """The residual function zero of which will give the General asymptote """

    (dist, Kprime, Eprime, muPrime, Cbar, Vel) = args

    if Cbar == 0:
        return TipAsym_MK_W_deltaC_Res(w, *args)

    Kh = Kprime * dist**0.5 / (Eprime * w)
    Ch = 2 * Cbar * dist**0.5 / (Vel**0.5 * w)
    sh = muPrime * Vel * dist**2 / (Eprime * w**3)

    g0 = f(Kh, 0.9911799823 * Ch, 10.392304845)
    delt = 10.392304845 * (1 + 0.9911799823 * Ch) * g0

    b = C2(delt) / C1(delt)
    con = C1(delt)
    gdelt = f(Kh, Ch * b, con)

    return sh - gdelt
示例#4
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def MomentsTipAssympGeneral(dist, Kprime, Eprime, muPrime, Cbar, Vel, stagnant,
                            KIPrime, regime):
    """Moments of the General tip asymptote to calculate the volume integral (see Donstov and Pierce, 2017)"""
    log = logging.getLogger('PyFrac.MomentsTipAssympGeneral')
    TipAsmptargs = (dist, Kprime, Eprime, muPrime, Cbar, Vel)

    if dist == 0:
        w = 0
    elif stagnant:
        w = KIPrime * dist**0.5 / Eprime
    else:
        a, b = FindBracket_w(dist, Kprime, Eprime, muPrime, Cbar, Vel, regime)
        try:
            if regime == 'U':
                w = brentq(TipAsym_UniversalW_zero_Res, a, b,
                           TipAsmptargs)  # root finding
            else:
                w = brentq(TipAsym_UniversalW_delt_Res, a, b,
                           TipAsmptargs)  # root finding
        except RuntimeError:
            M0, M1 = np.nan, np.nan
            return M0, M1
        except ValueError:
            M0, M1 = np.nan, np.nan
            return M0, M1

        if w < -1e-15:
            log.warning('Negative width encountered in volume integral')
            w = abs(w)

    if Vel < 1e-6 or w == 0:
        delt = 1 / 6
    else:
        Kh = Kprime * dist**0.5 / (Eprime * w)
        Ch = 2 * Cbar * dist**0.5 / (Vel**0.5 * w)
        g0 = f(Kh, 0.9911799823 * Ch, 10.392304845)
        delt = 10.392304845 * (1 + 0.9911799823 * Ch) * g0

    M0 = 2 * w * dist / (3 + delt)
    M1 = 2 * w * dist**2 / (5 + delt)

    if np.isnan(M0) or np.isnan(M1):
        M0, M1 = np.nan, np.nan

    return M0, M1
示例#5
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def MomentsTipAssympGeneral(dist, Kprime, Eprime, muPrime, Cbar, Vel, stagnant,
                            KIPrime):
    """Moments of the General tip asymptote to calculate the volume integral (see Donstov and Pierce, 2017)"""

    TipAsmptargs = (dist, Kprime, Eprime, muPrime, Cbar, Vel)

    if stagnant:
        w = KIPrime * dist**0.5 / Eprime
    else:
        a, b = FindBracket_w(dist, Kprime, Eprime, muPrime, Cbar, Vel)
        try:
            w = brentq(TipAsym_UniversalW_zero_Res, a, b,
                       TipAsmptargs)  # root finding
        except RuntimeError:
            M0, M1 = np.nan, np.nan
            return M0, M1
        except ValueError:
            M0, M1 = np.nan, np.nan
            return M0, M1

        if w < -1e-15:
            w = abs(w)

    if Vel < 1e-6:
        delt = 1 / 6
    else:
        Kh = Kprime * dist**0.5 / (Eprime * w)
        Ch = 2 * Cbar * dist**0.5 / (Vel**0.5 * w)
        g0 = f(Kh, 0.9911799823 * Ch, 10.392304845)
        delt = 10.392304845 * (1 + 0.9911799823 * Ch) * g0

    M0 = 2 * w * dist / (3 + delt)
    M1 = 2 * w * dist**2 / (5 + delt)

    if np.isnan(M0) or np.isnan(M1):
        M0, M1 = np.nan, np.nan

    return M0, M1