1
die dreieckige und die konstante Streckenlast müssen getrennt berechnet werden. Die allgemeine Formel für die resultirende Kraft einer dreieckigen Streckenlasten ist:
![](data:image/png;base64,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)
Das muss natürlich auf die aktuelle Aufgabe übertragen werden.
Dann müssen die Kräfte aus dreieckiger und konstanter Streckenlast hinsichtlich Betrag und Ort addiert werden.
Das muss natürlich auf die aktuelle Aufgabe übertragen werden.
Dann müssen die Kräfte aus dreieckiger und konstanter Streckenlast hinsichtlich Betrag und Ort addiert werden.
Diese Antwort melden
Link
geantwortet
pstan
Punkte: 510
Punkte: 510