Merge branch 'swash'
This commit is contained in:
commit
5c20dc3db7
GPG Key ID:
9833D3C5A25BD227
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@ -16,83 +16,99 @@ from scipy.fftpack import fft, ifft
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from scipy.signal import detrend
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from numpy import angle
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# fonction moyenne glissante
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def lissage(Lx,Ly,p):
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'''Fonction qui débruite une courbe par une moyenne glissante
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sur 2P+1 points'''
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Lxout=[]
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Lyout=[]
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Lxout = Lx[p: -p]
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for index in range(p, len(Ly)-p):
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average = np.mean(Ly[index-p : index+p+1])
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Lyout.append(average)
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return Lxout,Lyout
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g = 9.81
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# h = profondeur locale
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#fs = fréquence echantillonage
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# fs = fréquence echantillonage
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# zmesP = profondeur de mesure de la pression
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# zmesU = profondeur de mesure de la vitesse
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def PUV_dam(u,p,h,fs,zmesP,zmesU):
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#u = detrend(u)
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#p = detrend(p)
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def PUV_dam(u, p, h, fs, zmesP, zmesU):
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# u = detrend(u)
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# p = detrend(p)
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ampliseuil = 0.001
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N = len(u)
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delta = fs
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#transformée de fourrier
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# transformée de fourrier
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Yu = fft(u)
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Yp = fft(p)
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nyquist = 1/2
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#Fu_xb = ((1:N/2)-1)/(N/2)/deltat*nyquist
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xf = np.linspace(0.0, 1.0/(2.0/fs), N//2)
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Ampu = np.abs(Yu[1:N//2])/(N/2.0)
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Ampp = np.abs(Yp[1:N//2])/(N/2.0)
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#pas de frequence deltaf
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deltaf=1/(N/2)/delta*nyquist;
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#phase
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ThetaU=angle(Yu[1:N//2]);
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ThetaP=angle(Yp[1:N//2]);
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#calcul du coefficient de reflexion
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nbf=len(xf);
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if max(p) > 0 :
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#si pas de données de pression, jsute Sheremet
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#attention : on commence par le deuxieme point, le premier correspondant a frequence nulle
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iicutoff_xb=max(min(np.where(xf>0.5))) #length(Fu_xb)) ?
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#calcul de l'amplitude en deca de la frequence de coupure
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nyquist = 1 / 2
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# Fu_xb = ((1:N/2)-1)/(N/2)/deltat*nyquist
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xf = np.linspace(0.0, 1.0 / (2.0 / fs), N // 2)
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Ampu = np.abs(Yu[1 : N // 2]) / (N / 2.0)
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Ampp = np.abs(Yp[1 : N // 2]) / (N / 2.0)
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# pas de frequence deltaf
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deltaf = 1 / (N / 2) / delta * nyquist
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# phase
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ThetaU = angle(Yu[1 : N // 2])
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ThetaP = angle(Yp[1 : N // 2])
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# calcul du coefficient de reflexion
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nbf = len(xf)
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if max(p) > 0:
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# si pas de données de pression, jsute Sheremet
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# attention : on commence par le deuxieme point, le premier correspondant a frequence nulle
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iicutoff_xb = max(min(np.where(xf > 0.5))) # length(Fu_xb)) ?
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# calcul de l'amplitude en deca de la frequence de coupure
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k_xb = []
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ii = 1
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while ii<iicutoff_xb :
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k_xb[ii] = newtonpplus(xf[ii],h,0);
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a1=Ampu[ii];
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a3=Ampp[ii];
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phi1=ThetaU[ii];
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phi3=ThetaP[ii];
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omega[ii]=2*pi*xf[ii];
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cc=omega[ii]*cosh(xf[ii]*(zmesU+h))/sinh(xf[ii]*h);
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ccp=omega[ii]*cosh(xf[ii]*(zmesP+h))/sinh(xf[ii]*h);
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cs=omega[ii]*sinh(xf[ii]*(zmesU+h))/sinh(xf[ii]*h);
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#Procedure de calcul des ai et ar sans courant
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ccc[ii]=cc;
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ccs[ii]=cs;
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cccp[ii]=ccp;
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#calcul des amplitudes des ondes incidentes a partir de uhoriz et p
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aincident13[ii]=0.5*sqrt(a1*a1/(cc*cc)+a3*a3*g*g*xf[ii]*xf[ii]/(omega[ii]*omega[ii]*ccp*ccp)+2*a1*a3*g*k_xb[ii]*cos(phi3-phi1)/(cc*ccp*omega[ii]))
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areflechi13[ii]=0.5*sqrt(a1*a1/(cc*cc)+a3*a3*g*g*k_xb[ii]*k_xb[ii]/(omega[ii]*omega[ii]*ccp*ccp)-2*a1*a3*g*xf[ii]*cos(phi3-phi1)/(cc*ccp*omega[ii]))
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cv=g*xf[ii]/(omega[ii]*ccp)
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cp=1/cc
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aprog[ii]= a3/(g*xf[ii]/(omega[ii]*ccp)); #hypothese progressive Drevard et al |u|/Cv
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#aprog(ii)= a1/cp;
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#|p|/Cp
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if aincident13[ii]<0.18*ampliseuil:
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r13[ii]=0
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omega = []
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ccc, ccs, cccp = [], [], []
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aincident13, areflechi13 = [], []
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aprog = []
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r13 = []
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ii = 0
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while ii < iicutoff_xb:
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k_xb.append(newtonpplus(xf[ii], h, 0))
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a1 = Ampu[ii]
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a3 = Ampp[ii]
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phi1 = ThetaU[ii]
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phi3 = ThetaP[ii]
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omega.append(2 * np.pi * xf[ii])
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cc = omega[ii] * np.cosh(xf[ii] * (zmesU + h)) / np.sinh(xf[ii] * h)
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ccp = omega[ii] * np.cosh(xf[ii] * (zmesP + h)) / np.sinh(xf[ii] * h)
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cs = omega[ii] * np.sinh(xf[ii] * (zmesU + h)) / np.sinh(xf[ii] * h)
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# Procedure de calcul des ai et ar sans courant
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ccc.append(cc)
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ccs.append(cs)
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cccp.append(ccp)
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# calcul des amplitudes des ondes incidentes a partir de uhoriz et p
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aincident13.append(0.5 * np.sqrt(
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a1 * a1 / (cc * cc)
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+ a3
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* a3
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* g
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* g
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* xf[ii]
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* xf[ii]
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/ (omega[ii] * omega[ii] * ccp * ccp)
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+ 2 * a1 * a3 * g * k_xb[ii] * np.cos(phi3 - phi1) / (cc * ccp * omega[ii])
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))
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areflechi13.append(0.5 * np.sqrt(
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a1 * a1 / (cc * cc)
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+ a3
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* a3
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* g
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* g
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* k_xb[ii]
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* k_xb[ii]
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/ (omega[ii] * omega[ii] * ccp * ccp)
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- 2 * a1 * a3 * g * xf[ii] * np.cos(phi3 - phi1) / (cc * ccp * omega[ii])
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))
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cv = g * xf[ii] / (omega[ii] * ccp)
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cp = 1 / cc
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aprog.append(a3 / (g * xf[ii] / (omega[ii] * ccp)))
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# hypothese progressive Drevard et al |u|/Cv
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# aprog(ii)= a1/cp;
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# |p|/Cp
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if aincident13[ii] < 0.18 * ampliseuil:
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r13.append(0)
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else:
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r13[ii]=areflechi13[ii]/aincident13[ii]
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#calcul des energies incidente et reflechie sans ponderation avec les voisins
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Eprog=0.5*aprog**2/deltaf;
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Eixb=0.5*aincident13**2/deltaf
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Erxb=0.5*areflechi13**2/deltaf
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F=Fu_xb[1:iicutoff_xb]
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return Eixb,Erxb,Eprog,F
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'test'
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r13.append(areflechi13[ii] / aincident13[ii])
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# calcul des energies incidente et reflechie sans ponderation avec les voisins
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Eprog = 0.5 * aprog**2 / deltaf
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Eixb = 0.5 * aincident13**2 / deltaf
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Erxb = 0.5 * areflechi13**2 / deltaf
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F = Fu_xb[1:iicutoff_xb]
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return Eixb, Erxb, Eprog, F
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"test"
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# Calcul du vecteur d'onde en prÈsence d'un courant
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@ -100,19 +116,29 @@ def PUV_dam(u,p,h,fs,zmesP,zmesU):
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# a partir de la frÈquence f, la profondeur d'eau h et
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# la vitesse u du courant
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# kh : vecteur d'onde * profondeur d'eau
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def newtonpplus(f,h,u) :
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def newtonpplus(f, h, u):
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# calcul de k:
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g = 9.81
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kh = 0.5
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x = 0.001
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u=-u
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while (abs((kh - x)/x) > 0.00000001) :
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u = -u
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i = 0
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while abs((kh - x) / x) > 0.00001:
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i += 1
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if i > 10**5:
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sys.exit(1)
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x = kh
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fx = x*math.tanh(x) - (h/g)*(2*math.pi*f-(u/h)*x)*(2*math.pi*f-(u/h)*x)
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fprimx = math.tanh(x) + x*(1- (math.tanh(x))**2)+(2*u/g)*(2*math.pi*f-(u/h)*x)
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kh = x - (fx/fprimx)
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k = kh/h
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fx = x * math.tanh(x) - (h / g) * (2 * math.pi * f - (u / h) * x) * (
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2 * math.pi * f - (u / h) * x
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)
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fprimx = (
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math.tanh(x)
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+ x * (1 - (math.tanh(x)) ** 2)
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+ (2 * u / g) * (2 * math.pi * f - (u / h) * x)
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)
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kh = x - (fx / fprimx)
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k = kh / h
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return k
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# fin du calcul de k
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# fin du calcul de k
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@ -8,54 +8,68 @@ from matplotlib import animation
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import cmath
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from scipy.fft import fft
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def newtonpplus(f,h,u) :
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def newtonpplus(f, h, u):
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# calcul de k:
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g = 9.81
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kh = 0.5
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x = 0.001
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u=-u
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while (abs((kh - x)/x) > 0.00000001) :
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u = -u
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while abs((kh - x) / x) > 0.00000001:
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x = kh
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fx = x*math.tanh(x) - (h/g)*(2*math.pi*f-(u/h)*x)*(2*math.pi*f-(u/h)*x)
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fprimx = math.tanh(x) + x*(1- (math.tanh(x))**2)+(2*u/g)*(2*math.pi*f-(u/h)*x)
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kh = x - (fx/fprimx)
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k = kh/h
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fx = x * math.tanh(x) - (h / g) * (2 * math.pi * f - (u / h) * x) * (
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2 * math.pi * f - (u / h) * x
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)
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fprimx = (
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math.tanh(x)
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+ x * (1 - (math.tanh(x)) ** 2)
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+ (2 * u / g) * (2 * math.pi * f - (u / h) * x)
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)
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kh = x - (fx / fprimx)
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k = kh / h
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return k
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def newtonpmoins(f,h,u0) :
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# calcul de k:
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g = 9.81;
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kh = 0.5;
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x = 0.01;
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x = 6*h;
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while (np.abs((kh - x)/x) > 0.00000001):
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x = kh;
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fx = x*math.tanh(x) - (h/g)*(2*math.pi*f-(u0/h)*x)*(2*math.pi*f-(u0/h)*x);
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fprimx = math.tanh(x) + x*(1- (math.tanh(x))**2)+(2*u0/g)*(2*math.pi*f-(u0/h)*x);
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kh = x - (fx/fprimx);
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k = kh/h
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def newtonpmoins(f, h, u0):
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# calcul de k:
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g = 9.81
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kh = 0.5
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x = 0.01
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x = 6 * h
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while np.abs((kh - x) / x) > 0.00000001:
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x = kh
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fx = x * math.tanh(x) - (h / g) * (2 * math.pi * f - (u0 / h) * x) * (
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2 * math.pi * f - (u0 / h) * x
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)
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fprimx = (
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math.tanh(x)
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+ x * (1 - (math.tanh(x)) ** 2)
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+ (2 * u0 / g) * (2 * math.pi * f - (u0 / h) * x)
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)
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kh = x - (fx / fprimx)
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k = kh / h
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return k
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#Calcul du vecteur d'onde a partir de la frÈquence
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#kh : vecteur d'onde * profondeur d'eau
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def newtonpropa(hi,f):
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# Calcul du vecteur d'onde a partir de la frÈquence
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# kh : vecteur d'onde * profondeur d'eau
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def newtonpropa(hi, f):
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# calcul de k:
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g=9.81;
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si = (2*math.pi*f)**2/g;
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kh = 0.5;
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x = 0.001;
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while (np.abs((kh - x)/x) > 0.00000001) :
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x = kh;
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fx = x*math.tanh(x) - si*hi;
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fprimx = math.tanh(x) + x*(1- (math.tanh(x))**2);
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kh = x - (fx/fprimx);
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kpropa = kh/hi;
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g = 9.81
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si = (2 * math.pi * f) ** 2 / g
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kh = 0.5
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x = 0.001
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while np.abs((kh - x) / x) > 0.00000001:
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x = kh
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fx = x * math.tanh(x) - si * hi
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fprimx = math.tanh(x) + x * (1 - (math.tanh(x)) ** 2)
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kh = x - (fx / fprimx)
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kpropa = kh / hi
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return kpropa
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def reflex3S(x1,x2,x3,xs1,xs2,xs3,h,mean_freq,fmin,fmax) :
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def reflex3S(x1, x2, x3, xs1, xs2, xs3, h, mean_freq, fmin, fmax):
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# Analyse avec transformee de fourier d un signal en sinus
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# calcul du coefficient de reflexion en presence d un courant u
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# tinit : temps initial
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@ -69,76 +83,75 @@ def reflex3S(x1,x2,x3,xs1,xs2,xs3,h,mean_freq,fmin,fmax) :
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# ampliseuil : amplitude minimale des maxima recherches
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# valeur du courant (u > 0 correspond a un courant dans le sens
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# des x croissants)
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#u=0;
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# u=0;
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# h profondeur d'eau
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#hold on;
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#fech=16;
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#fmin=0.1;fmax=4;ampliseuil=0.005;
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#nbrepoints=fech*T*1000;
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#deltat=1./fech;
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#tinit=0;tfinal=tinit+deltat*(nbrepoints-1);
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# hold on;
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# fech=16;
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# fmin=0.1;fmax=4;ampliseuil=0.005;
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# nbrepoints=fech*T*1000;
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# deltat=1./fech;
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# tinit=0;tfinal=tinit+deltat*(nbrepoints-1);
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#aitheo=1;artheo=0.4;
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#h=3;
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#T=1.33;
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#ftheo=1/T;
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#fech=16;
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#fmin=0.1;fmax=4;ampliseuil=0.005;
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#nbrepoints=fech*T*1000;
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#deltat=1./fech;
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#tinit=0;tfinal=tinit+deltat*(nbrepoints-1);
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#t = [tinit:deltat:tfinal];
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#ktheo = newtonpropa(ftheo,h);
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# aitheo=1;artheo=0.4;
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# h=3;
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# T=1.33;
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# ftheo=1/T;
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# fech=16;
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# fmin=0.1;fmax=4;ampliseuil=0.005;
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# nbrepoints=fech*T*1000;
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# deltat=1./fech;
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# tinit=0;tfinal=tinit+deltat*(nbrepoints-1);
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# t = [tinit:deltat:tfinal];
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# ktheo = newtonpropa(ftheo,h);
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#Positions respectives sondes amonts entr'elles et sondes aval
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# Positions respectives sondes amonts entr'elles et sondes aval
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# entr'elles
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# xs1=0;xs2=0.80;xs3=1.30;
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#ENTREES DONNEES DES 3 SONDES AMONT et des 2 SONDES AVAL
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ampliseuil=0.005;
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# ENTREES DONNEES DES 3 SONDES AMONT et des 2 SONDES AVAL
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ampliseuil = 0.005
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#'check'
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#pause
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#PAS DE TEMPS
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deltat1=1/mean_freq;
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deltat2=1/mean_freq;
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deltat3=1/mean_freq;
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#transformees de Fourier
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Y1 = fft(x1,len(x1));
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N1 = len(Y1);
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Y2 = fft(x2,len(x2));
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N2 = len(Y2);
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Y3 = fft(x3,len(x3));
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N3 = len(Y3);
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#amplitudes normalisees, soit coef de fourier
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amplitude1=np.abs(Y1[1:N1//2])/(N1//2);
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nyquist = 1/2;
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freq1 = (np.arange(1, (N1//2)+1, 1)-1)/(N1//2)/deltat1*nyquist;
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amplitude2=np.abs(Y2[1:N2//2])/(N2//2);
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nyquist = 1/2;
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freq2 = (np.arange(1, (N2//2)+1, 1)-1)/(N2//2)/deltat2*nyquist;
|
||||
amplitude3=np.abs(Y3[1:N3//2])/(N3//2);
|
||||
nyquist = 1/2;
|
||||
freq3 = (np.arange(1, (N3//2)+1, 1)-1)/(N3//2)/deltat3*nyquist;
|
||||
#recherche de la phase
|
||||
theta1=np.angle(Y1[1:N1//2]);
|
||||
theta2=np.angle(Y2[1:N2//2]);
|
||||
theta3=np.angle(Y3[1:N3//2]);
|
||||
#pas de frequence deltaf
|
||||
deltaf=1/(N1//2)/deltat1*nyquist;
|
||||
nbrefreq=len(freq1);
|
||||
#Caracteristiques fondamentaux,sondes canaux 1 et 3
|
||||
#distances entre les sondes
|
||||
x12=xs2-xs1;
|
||||
x13=xs3-xs1;
|
||||
x23=xs3-xs2;
|
||||
#Debut calcul des coefficients de reflexion
|
||||
indmin=np.min(np.where(freq1>0.02));
|
||||
indfmin=np.min(np.where(freq1>fmin));
|
||||
indfmax=np.max(np.where(freq1<fmax));
|
||||
|
||||
# pause
|
||||
# PAS DE TEMPS
|
||||
deltat1 = 1 / mean_freq
|
||||
deltat2 = 1 / mean_freq
|
||||
deltat3 = 1 / mean_freq
|
||||
# transformees de Fourier
|
||||
Y1 = fft(x1, len(x1))
|
||||
N1 = len(Y1)
|
||||
Y2 = fft(x2, len(x2))
|
||||
N2 = len(Y2)
|
||||
Y3 = fft(x3, len(x3))
|
||||
N3 = len(Y3)
|
||||
# amplitudes normalisees, soit coef de fourier
|
||||
amplitude1 = np.abs(Y1[1 : N1 // 2]) / (N1 // 2)
|
||||
nyquist = 1 / 2
|
||||
freq1 = (np.arange(1, (N1 // 2) + 1, 1) - 1) / (N1 // 2) / deltat1 * nyquist
|
||||
amplitude2 = np.abs(Y2[1 : N2 // 2]) / (N2 // 2)
|
||||
nyquist = 1 / 2
|
||||
freq2 = (np.arange(1, (N2 // 2) + 1, 1) - 1) / (N2 // 2) / deltat2 * nyquist
|
||||
amplitude3 = np.abs(Y3[1 : N3 // 2]) / (N3 // 2)
|
||||
nyquist = 1 / 2
|
||||
freq3 = (np.arange(1, (N3 // 2) + 1, 1) - 1) / (N3 // 2) / deltat3 * nyquist
|
||||
# recherche de la phase
|
||||
theta1 = np.angle(Y1[1 : N1 // 2])
|
||||
theta2 = np.angle(Y2[1 : N2 // 2])
|
||||
theta3 = np.angle(Y3[1 : N3 // 2])
|
||||
# pas de frequence deltaf
|
||||
deltaf = 1 / (N1 // 2) / deltat1 * nyquist
|
||||
nbrefreq = len(freq1)
|
||||
# Caracteristiques fondamentaux,sondes canaux 1 et 3
|
||||
# distances entre les sondes
|
||||
x12 = xs2 - xs1
|
||||
x13 = xs3 - xs1
|
||||
x23 = xs3 - xs2
|
||||
# Debut calcul des coefficients de reflexion
|
||||
indmin = np.min(np.where(freq1 > 0.02))
|
||||
indfmin = np.min(np.where(freq1 > fmin))
|
||||
indfmax = np.max(np.where(freq1 < fmax))
|
||||
|
||||
T = []
|
||||
fre = []
|
||||
|
|
@ -155,66 +168,104 @@ def reflex3S(x1,x2,x3,xs1,xs2,xs3,h,mean_freq,fmin,fmax) :
|
|||
Ereflechi123 = []
|
||||
count = 0
|
||||
for jj in np.arange(indfmin, indfmax, 1):
|
||||
f=freq1[jj]
|
||||
#periode
|
||||
T.append(1/f)
|
||||
f = freq1[jj]
|
||||
# periode
|
||||
T.append(1 / f)
|
||||
fre.append(f)
|
||||
#calcul des vecteurs d'onde
|
||||
kplus = newtonpplus(f,h,0)
|
||||
kmoins = newtonpmoins(f,h,0)
|
||||
k = newtonpropa(h,f)
|
||||
deltaku=k-(kmoins+kplus)/2
|
||||
#amplitude des signaux pour la frequence f:
|
||||
a1=amplitude1[jj]
|
||||
a2=amplitude2[jj]
|
||||
a3=amplitude3[jj]
|
||||
#dephasages entre les signaux experimentaux des 3 sondes amont
|
||||
phi1=theta1[jj]
|
||||
phi2=theta2[jj]
|
||||
phi3=theta3[jj]
|
||||
phi12=phi2-phi1
|
||||
phi13=phi3-phi1
|
||||
phi23=phi3-phi2
|
||||
#evolution theorique entre les sondes de la phase pour une onde progressive
|
||||
delta12p= -kplus*x12
|
||||
delta13p= -kplus*x13
|
||||
delta23p= -kplus*x23
|
||||
delta12m= -kmoins*x12
|
||||
delta13m= -kmoins*x13
|
||||
delta23m= -kmoins*x23
|
||||
#calcul du coefficient de reflexion a partir des sondes 1 et 2
|
||||
aincident12.append(math.sqrt(a1*a1+a2*a2-2*a1*a2*math.cos(phi12+delta12p))/(2*np.abs(math.sin((delta12p+delta12m)/2))))
|
||||
areflechi12.append(math.sqrt(a1*a1+a2*a2-2*a1*a2*math.cos(phi12-delta12m))/(2*np.abs(math.sin((delta12p+delta12m)/2))))
|
||||
#r12(jj)=areflechi12(jj)/aincident12(jj);
|
||||
#calcul du coefficient de reflexion a partir des sondes 2 et 3
|
||||
aincident23.append(math.sqrt(a2*a2+a3*a3-2*a2*a3*math.cos(phi23+delta23p))/(2*np.abs(math.sin((delta23p+delta23m)/2))))
|
||||
areflechi23.append(math.sqrt(a2*a2+a3*a3-2*a2*a3*math.cos(phi23-delta23m))/(2*np.abs(math.sin((delta23p+delta23m)/2))))
|
||||
#r23(jj)=areflechi23(jj)/aincident23(jj);
|
||||
#calcul du coefficient de reflexion a partir des sondes 1 et 3
|
||||
aincident13.append(math.sqrt(a1*a1+a3*a3-2*a1*a3*math.cos(phi13+delta13p))/(2*np.abs(math.sin((delta13p+delta13m)/2))))
|
||||
areflechi13.append(math.sqrt(a1*a1+a3*a3-2*a1*a3*math.cos(phi13-delta13m))/(2*np.abs(math.sin((delta13p+delta13m)/2))))
|
||||
#r13.append(areflechi13[jj]/aincident13[jj])
|
||||
#calcul du coefficient de reflexion par methode des 3 sondesavec moindres carres
|
||||
delta1m=0
|
||||
delta2m=delta12m
|
||||
delta3m=delta13m
|
||||
delta1p=0
|
||||
delta2p=delta12p
|
||||
delta3p=delta13p
|
||||
s1=cmath.exp(-1j*2*delta1m)+cmath.exp(-1j*2*delta2m)+cmath.exp(-1j*2*delta3m)
|
||||
s2=cmath.exp(+1j*2*delta1p)+cmath.exp(+1j*2*delta2p)+cmath.exp(+1j*2*delta3p)
|
||||
s12=cmath.exp(1j*(delta1p-delta1m))+cmath.exp(1j*(delta2p-delta2m))+cmath.exp(1j*(delta3p-delta3m))
|
||||
s3=a1*cmath.exp(-1j*(phi1+delta1m))+a2*cmath.exp(-1j*(phi2+delta2m))+a3*cmath.exp(-1j*(phi3+delta3m))
|
||||
s4=a1*cmath.exp(-1j*(phi1-delta1p))+a2*cmath.exp(-1j*(phi2-delta2p))+a3*cmath.exp(-1j*(phi3-delta3p))
|
||||
s5=s1*s2-s12*s12
|
||||
ai.append(abs((s2*s3-s12*s4)/s5))
|
||||
ar.append(abs((s1*s4-s12*s3)/s5))
|
||||
#refl[jj]=ar[jj]/ai[jj];
|
||||
#Calcul de l'energie, on divise par le pas de frequence deltaf
|
||||
#calcul de l'energie incidente sans ponderation avec les voisins
|
||||
Eincident123.append(0.5*ai[count]*ai[count]/deltaf)
|
||||
Ereflechi123.append(0.5*ar[count]*ar[count]/deltaf)
|
||||
count+=1
|
||||
# calcul des vecteurs d'onde
|
||||
kplus = newtonpplus(f, h, 0)
|
||||
kmoins = newtonpmoins(f, h, 0)
|
||||
k = newtonpropa(h, f)
|
||||
deltaku = k - (kmoins + kplus) / 2
|
||||
# amplitude des signaux pour la frequence f:
|
||||
a1 = amplitude1[jj]
|
||||
a2 = amplitude2[jj]
|
||||
a3 = amplitude3[jj]
|
||||
# dephasages entre les signaux experimentaux des 3 sondes amont
|
||||
phi1 = theta1[jj]
|
||||
phi2 = theta2[jj]
|
||||
phi3 = theta3[jj]
|
||||
phi12 = phi2 - phi1
|
||||
phi13 = phi3 - phi1
|
||||
phi23 = phi3 - phi2
|
||||
# evolution theorique entre les sondes de la phase pour une onde progressive
|
||||
delta12p = -kplus * x12
|
||||
delta13p = -kplus * x13
|
||||
delta23p = -kplus * x23
|
||||
delta12m = -kmoins * x12
|
||||
delta13m = -kmoins * x13
|
||||
delta23m = -kmoins * x23
|
||||
# calcul du coefficient de reflexion a partir des sondes 1 et 2
|
||||
aincident12.append(
|
||||
math.sqrt(a1 * a1 + a2 * a2 - 2 * a1 * a2 * math.cos(phi12 + delta12p))
|
||||
/ (2 * np.abs(math.sin((delta12p + delta12m) / 2)))
|
||||
)
|
||||
areflechi12.append(
|
||||
math.sqrt(a1 * a1 + a2 * a2 - 2 * a1 * a2 * math.cos(phi12 - delta12m))
|
||||
/ (2 * np.abs(math.sin((delta12p + delta12m) / 2)))
|
||||
)
|
||||
# r12(jj)=areflechi12(jj)/aincident12(jj);
|
||||
# calcul du coefficient de reflexion a partir des sondes 2 et 3
|
||||
aincident23.append(
|
||||
math.sqrt(a2 * a2 + a3 * a3 - 2 * a2 * a3 * math.cos(phi23 + delta23p))
|
||||
/ (2 * np.abs(math.sin((delta23p + delta23m) / 2)))
|
||||
)
|
||||
areflechi23.append(
|
||||
math.sqrt(a2 * a2 + a3 * a3 - 2 * a2 * a3 * math.cos(phi23 - delta23m))
|
||||
/ (2 * np.abs(math.sin((delta23p + delta23m) / 2)))
|
||||
)
|
||||
# r23(jj)=areflechi23(jj)/aincident23(jj);
|
||||
# calcul du coefficient de reflexion a partir des sondes 1 et 3
|
||||
aincident13.append(
|
||||
math.sqrt(a1 * a1 + a3 * a3 - 2 * a1 * a3 * math.cos(phi13 + delta13p))
|
||||
/ (2 * np.abs(math.sin((delta13p + delta13m) / 2)))
|
||||
)
|
||||
areflechi13.append(
|
||||
math.sqrt(a1 * a1 + a3 * a3 - 2 * a1 * a3 * math.cos(phi13 - delta13m))
|
||||
/ (2 * np.abs(math.sin((delta13p + delta13m) / 2)))
|
||||
)
|
||||
# r13.append(areflechi13[jj]/aincident13[jj])
|
||||
# calcul du coefficient de reflexion par methode des 3 sondesavec moindres carres
|
||||
delta1m = 0
|
||||
delta2m = delta12m
|
||||
delta3m = delta13m
|
||||
delta1p = 0
|
||||
delta2p = delta12p
|
||||
delta3p = delta13p
|
||||
s1 = (
|
||||
cmath.exp(-1j * 2 * delta1m)
|
||||
+ cmath.exp(-1j * 2 * delta2m)
|
||||
+ cmath.exp(-1j * 2 * delta3m)
|
||||
)
|
||||
s2 = (
|
||||
cmath.exp(+1j * 2 * delta1p)
|
||||
+ cmath.exp(+1j * 2 * delta2p)
|
||||
+ cmath.exp(+1j * 2 * delta3p)
|
||||
)
|
||||
s12 = (
|
||||
cmath.exp(1j * (delta1p - delta1m))
|
||||
+ cmath.exp(1j * (delta2p - delta2m))
|
||||
+ cmath.exp(1j * (delta3p - delta3m))
|
||||
)
|
||||
s3 = (
|
||||
a1 * cmath.exp(-1j * (phi1 + delta1m))
|
||||
+ a2 * cmath.exp(-1j * (phi2 + delta2m))
|
||||
+ a3 * cmath.exp(-1j * (phi3 + delta3m))
|
||||
)
|
||||
s4 = (
|
||||
a1 * cmath.exp(-1j * (phi1 - delta1p))
|
||||
+ a2 * cmath.exp(-1j * (phi2 - delta2p))
|
||||
+ a3 * cmath.exp(-1j * (phi3 - delta3p))
|
||||
)
|
||||
s5 = s1 * s2 - s12 * s12
|
||||
|
||||
ai.append(abs((s2 * s3 - s12 * s4) / s5))
|
||||
ar.append(abs((s1 * s4 - s12 * s3) / s5))
|
||||
# refl[jj]=ar[jj]/ai[jj];
|
||||
# Calcul de l'energie, on divise par le pas de frequence deltaf
|
||||
# calcul de l'energie incidente sans ponderation avec les voisins
|
||||
Eincident123.append(0.5 * ai[count] * ai[count] / deltaf)
|
||||
Ereflechi123.append(0.5 * ar[count] * ar[count] / deltaf)
|
||||
count += 1
|
||||
|
||||
return ai,ar,Eincident123, Ereflechi123, indfmin, indfmax, fre
|
||||
return ai, ar, Eincident123, Ereflechi123, indfmin, indfmax, fre
|
||||
|
|
|
|||
|
|
@ -0,0 +1,83 @@
|
|||
import argparse
|
||||
import configparser
|
||||
import logging
|
||||
import pathlib
|
||||
|
||||
import matplotlib.pyplot as plt
|
||||
import numpy as np
|
||||
import scipy.signal as sgl
|
||||
|
||||
from .reflex3s import reflex3s
|
||||
from .pa.reflex3S import reflex3S
|
||||
from .pa.PUV import PUV_dam
|
||||
|
||||
parser = argparse.ArgumentParser(description="Post-process swash output")
|
||||
parser.add_argument("-v", "--verbose", action="count", default=0)
|
||||
parser.add_argument("-c", "--config", default="config.ini")
|
||||
args = parser.parse_args()
|
||||
|
||||
logging.basicConfig(level=max((10, 20 - 10 * args.verbose)))
|
||||
log = logging.getLogger("post")
|
||||
|
||||
log.info("Starting post-processing")
|
||||
config = configparser.ConfigParser()
|
||||
config.read(args.config)
|
||||
|
||||
inp = pathlib.Path(config.get("post", "inp"))
|
||||
root = pathlib.Path(config.get("swash", "out"))
|
||||
|
||||
log.info(f"Reading data from '{inp}'")
|
||||
x = np.load(inp.joinpath("xp.npy"))
|
||||
t = np.load(inp.joinpath("tsec.npy"))
|
||||
|
||||
botl = np.load(inp.joinpath("botl.npy"))
|
||||
watl = np.load(inp.joinpath("watl.npy"))
|
||||
vel = np.load(inp.joinpath("vel.npy"))
|
||||
|
||||
x0 = config.getint("post", "x0")
|
||||
arg_x0 = np.abs(x - x0).argmin()
|
||||
t0 = config.getfloat("post", "t0")
|
||||
arg_t0 = np.abs(t - t0).argmin()
|
||||
dt = np.diff(t).mean()
|
||||
f = 1 / dt
|
||||
|
||||
idx = [arg_x0 - 5, arg_x0, arg_x0 + 7]
|
||||
wl = watl[arg_t0:, idx]
|
||||
|
||||
# Reflex3S
|
||||
res = reflex3S(*wl.T, *x[idx], botl[idx].mean(), f, 0.02, 0.2)
|
||||
f_, ai_, ar_ = reflex3s(wl.T, x[idx], botl[idx].mean(), f)
|
||||
ai, ar, _, _, _, _, fre = res
|
||||
|
||||
# Custom PUV
|
||||
eta = watl[t > t0, arg_x0]
|
||||
u = vel[t > t0, 0, arg_x0]
|
||||
|
||||
phi_eta = sgl.welch(eta, f)
|
||||
phi_u = sgl.welch(u, f)
|
||||
phi_eta_u = sgl.csd(eta, u, f)
|
||||
|
||||
R = np.sqrt(
|
||||
(np.abs(phi_eta[1]) + np.abs(phi_u[1]) - 2 * phi_eta_u[1].real)
|
||||
/ (np.abs(phi_eta[1]) + np.abs(phi_u[1]) + 2 * phi_eta_u[1].real)
|
||||
)
|
||||
|
||||
out = pathlib.Path(config.get("post", "out")).joinpath(f"t{t0}x{x0}")
|
||||
log.info(f"Saving plots in '{out}'")
|
||||
out.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
plt.plot(fre, np.asarray(ar) / np.asarray(ai))
|
||||
plt.xlim((0, 0.3))
|
||||
plt.ylim((0, 1))
|
||||
plt.savefig(out.joinpath("reflex3s_pa.pdf"))
|
||||
plt.clf()
|
||||
plt.plot(f_, ar_ / ai_)
|
||||
plt.plot(phi_eta[0], R)
|
||||
plt.xlim((0, 0.3))
|
||||
plt.ylim((0, 1))
|
||||
plt.savefig(out.joinpath("reflex3s.pdf"))
|
||||
|
||||
# pressk = np.load(inp.joinpath("pressk.npy"))
|
||||
# press = pressk[:, 1, :]
|
||||
# res = PUV_dam(vel[arg_t0:, 0, 500], press[arg_t0:, 500], botl[500], f, botl[500]/2, botl[500]/2)
|
||||
# print(res)
|
||||
|
|
@ -0,0 +1,45 @@
|
|||
import numpy as np
|
||||
from scipy import fft
|
||||
from scipy import signal as sgl
|
||||
from scipy import optimize as opti
|
||||
|
||||
|
||||
def reflex3s(eta, x, h, f):
|
||||
eta_psd = np.stack([fft.rfft(z) for z in eta])
|
||||
f_psd = fft.rfftfreq(eta.shape[1], 1 / f)
|
||||
|
||||
eta_amp = np.abs(eta_psd) / (f_psd.size - 1)
|
||||
eta_phase = np.angle(eta_psd)
|
||||
|
||||
g = 9.81
|
||||
k = np.asarray(
|
||||
[
|
||||
opti.root_scalar(
|
||||
f=lambda k: k * np.tanh(k) - (2 * np.pi * f) ** 2 / g * h,
|
||||
fprime=lambda k: np.tanh(k) + k * (1 - np.tanh(k) ** 2),
|
||||
x0=0.5,
|
||||
).root
|
||||
/ h
|
||||
for f in f_psd
|
||||
]
|
||||
)
|
||||
|
||||
s1 = 1 + np.exp(2j * k * (x[1] - x[0])) + np.exp(2j * k * (x[2] - x[0]))
|
||||
s2 = 1 + np.exp(-2j * k * (x[1] - x[0])) + np.exp(-2j * k * (x[2] - x[0]))
|
||||
s12 = 3
|
||||
s3 = (
|
||||
eta_amp[0] * np.exp(-1j * (eta_phase[0]))
|
||||
+ eta_amp[1] * np.exp(-1j * (eta_phase[1] - k * (x[1] - x[0])))
|
||||
+ eta_amp[2] * np.exp(-1j * (eta_phase[2] - k * (x[2] - x[0])))
|
||||
)
|
||||
s4 = (
|
||||
eta_amp[0] * np.exp(-1j * (eta_phase[0]))
|
||||
+ eta_amp[1] * np.exp(-1j * (eta_phase[1] + k * (x[1] - x[0])))
|
||||
+ eta_amp[2] * np.exp(-1j * (eta_phase[2] + k * (x[2] - x[0])))
|
||||
)
|
||||
s5 = s1 * s2 - s12**2
|
||||
|
||||
ai = np.abs((s2 * s3 - s12 * s4) / s5)
|
||||
ar = np.abs((s1 * s4 - s12 * s3) / s5)
|
||||
|
||||
return f_psd, ai, ar
|
||||
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Reference in New Issue