Problema di fisica sui momenti delle forze
Un'asta di ferro (densità = 7600 kg/m3)
ha la sezione di 10 cm2
ed è lunga 2m. Essa è appoggiata su di un supporto nel suo centro. Su di essa vengono applicati dei pesi (1 quadretto = 10 N). Calcolare il momento totale dei pesi, dire se l'asta è in equilibrio o se ruota e da quale parte, infine dire a quale dei due estremi A o B va appeso un corpo, e calcolarne il peso, in modo che si abbia equilibrio.
ha la sezione di 10 cm2
ed è lunga 2m. Essa è appoggiata su di un supporto nel suo centro. Su di essa vengono applicati dei pesi (1 quadretto = 10 N). Calcolare il momento totale dei pesi, dire se l'asta è in equilibrio o se ruota e da quale parte, infine dire a quale dei due estremi A o B va appeso un corpo, e calcolarne il peso, in modo che si abbia equilibrio.
Risposte
per risolvere il problema bisogna conoscere:
quanti sono i pesi
le loro intensità
i punti dell'asta in cui vengono applicati
inoltre non capisco perchè implicitamente ci venga fornita la massa dell'asta visto che essa è appoggiata nel suo centro
quanti sono i pesi
le loro intensità
i punti dell'asta in cui vengono applicati
inoltre non capisco perchè implicitamente ci venga fornita la massa dell'asta visto che essa è appoggiata nel suo centro
forza1=20 n forza2=40n forza3=30
distanza1=20 cm distanza2=80 cm distanza3=40 cm
Aggiunto 2 minuti più tardi:
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
distanza1=20 cm distanza2=80 cm distanza3=40 cm
Aggiunto 2 minuti più tardi:
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
suppongo che qualcuno stia da una parte e qualcuno dall'altra;dovresti precisarmi anche questo
http://www.angeloangeletti.it/MATERIALI_LICEO/1_equilibrio.pdf vedi qui è il problema numero 12
dalla parte di A c'è il peso P1=20N a distanza 0,8m dal fulcro ed il peso P2=40n a 0,2m dal fulcro
dalla parte di B c'è il peso P3=30N a 0,6m dal fulcro
diamo valore positivo ai momenti di P1 e P2 evalore negativo al momento di P3
il momento totale è
20*0,8+40*0,2-30*0,6=6N*m
l'asta non è in equilibrio,ruota in modo che A scende e B sale
per avere l'equilibrio bisogna applicare un peso di 6N in B in modo da rendere nullo il momento totale
come già detto prima,la densità e la sezione dell'asta non servono ai fini del problema:sono soltanto del
dalla parte di B c'è il peso P3=30N a 0,6m dal fulcro
diamo valore positivo ai momenti di P1 e P2 evalore negativo al momento di P3
il momento totale è
20*0,8+40*0,2-30*0,6=6N*m
l'asta non è in equilibrio,ruota in modo che A scende e B sale
per avere l'equilibrio bisogna applicare un peso di 6N in B in modo da rendere nullo il momento totale
come già detto prima,la densità e la sezione dell'asta non servono ai fini del problema:sono soltanto del
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