public static async Task <List <ResultsEnvelope> > GetDeflectionPredictions(List <PredictionInput> predictionInputList)
{
var predictionJson = PredictionInput.GetPredictionsObjectForSending(predictionInputList);
var deflectionPredictionList = GetPredictionsFromServer(predictionJson, MachineLearningConstants.PredictionServerDeflection);
var resultsEnvelopesList = new List <ResultsEnvelope>();
for (int i = 0; i < predictionInputList.Count; i++)
{
if (predictionInputList[i].UniformLoadMagnitude > MachineLearningConstants.MaxUdlLoadAllowedInMachineLearning)
{
throw new ArgumentOutOfRangeException(
$"Udl larger than allowed for machine learning model, actual {predictionInputList[i].UniformLoadMagnitude}");
}
var envelope = new ResultsEnvelope()
{
TotalDisplacement = deflectionPredictionList.predictions[i] * Constants.Conversion.MmToM,
TotalDisplacementEnvelopeCase = predictionInputList[i].CombinationNo,
TotalDisplacementEnvelopeElement = predictionInputList[i].SurfaceNo,
};
resultsEnvelopesList.Add(envelope);
}
return(resultsEnvelopesList);
}
public static async Task <List <ResultsEnvelope> > GetStressPredictions(List <PredictionInput> predictionInputList)
{
var predictionJson = PredictionInput.GetPredictionsObjectForSending(predictionInputList);
var stressPredictionList = GetPredictionsFromServer(predictionJson, MachineLearningConstants.PredictionServerStress);
var resultsEnvelopesList = new List <ResultsEnvelope>();
for (int i = 0; i < predictionInputList.Count; i++)
{
var envelope = new ResultsEnvelope()
{
Stress = stressPredictionList.predictions[i] * Constants.Conversion.MpaToPa,
StressEnvelopeCase = predictionInputList[i].CombinationNo,
StressEnvelopeElement = predictionInputList[i].SurfaceNo,
};
resultsEnvelopesList.Add(envelope);
}
return(resultsEnvelopesList);
}
