How to calculate average from multiple SPL mics?

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Erik Kostson
Erik Kostson Member, Employee Posts: 124
First Answer Name Dropper First Anniversary Ansys Employee
edited March 22 in Structures

Say we have a harmonic acoustic analysis. How can we then add automatically a linear array of far field microphones and evaluate the average result (SPL) from them?

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  • Erik Kostson
    Erik Kostson Member, Employee Posts: 124
    First Answer Name Dropper First Anniversary Ansys Employee
    edited March 20 Answer ✓
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    below is a mechanical script that does that:

    nrmic=3 # number of mics to place
    totspl=0 # total spl
    avspl=0 # average spl
    stepx=2 # distance between mic. locations in meters
    model = ExtAPI.DataModel.Project.Model
    analysis=model.Analyses[0]
    for i in range(1,nrmic+1):
        myacfar=analysis.Solution.AddAcousticFarFieldSPLMic()
        myacfar.XCoordinate = Quantity(stepx*i, "m") # mics. placed along X every stepx - in meters change if mm
        myacfar.EvaluateAllResults()
        myspl=str(myacfar.Maximum) # get maximim spl
        myspl=myspl.Split("[")[0] # get the number not the dB
        totspl=totspl+float(myspl) # add to total
    avspl=totspl/nrmic # get average
    print('Average is: ' + str(avspl))
    
  • Erik Kostson
    Erik Kostson Member, Employee Posts: 124
    First Answer Name Dropper First Anniversary Ansys Employee
    edited March 22 Answer ✓
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    for multiple frequencies the below should give the average (from mics.):

    import csv
    nrmic=2 # number of mics to place
    
    stepx=5 # distance between mic. locations in meters
    
    model = ExtAPI.DataModel.Project.Model
    analysis=model.Analyses[0]
    time_steps = len(analysis.GetResultsData().ListTimeFreq)
    size=time_steps/2
    avsplar=[0]*size# average spl array
    
    for i in range(1,nrmic+1):
        myacfar=analysis.Solution.AddAcousticFarFieldSPLMic()
        myacfar.XCoordinate = Quantity(stepx*i, "m") # mics. placed along X every stepx - in meters change if mm
        myacfar.EvaluateAllResults()
        myacfar.Activate()
        myfile='D:\mysplmic'+str(i)+'.txt'
        myacfar.ExportToTextFile(myfile)
        r=0
        with open(myfile, 'rb') as f:
            data = csv.reader(f,delimiter='\t')
            next(data)
            for row in data:
                avsplar[r]=avsplar[r]+(float(row[1]))/(float(nrmic))
                r=r+1
    print(avsplar)
    
    
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