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Programming for Computations – Python - A Gentle Introduction to Numerical Simulations with Python
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148 4 SolvingOrdinaryDifferentialEquations videdthesignumfunctionsign.x/ isdefinedtobezeroforxD0 (numpy.signhas thisproperty). Tocheck that thesigns in thedefinitionoff are right, recall that the actual physical force is f and this is positive (i.e.,f <0)when itworksagainst thebodymovingwithvelocityu0 <0. Thenonlinearspring force is takenas s.u/D k˛ 1 tanh.˛u/; which is approximately ku for smallu, but stabilizes at˙k=˛ for large˙˛u. Here is aplotwithkD1000andu2 Œ 0:1;0:1 for three˛values: If there is noexternal excitation force actingon thebody,wehave the equation ofmotion mu00C mgsign.u0/Ck˛ 1 tanh.˛u/D0: Let us simulate a situationwhere a bodyofmass 1 kg slides on a surfacewith D 0:4, while attached to a springwith stiffness k D 1000kg=s2. The initial displacement of the body is 10 cm, and the˛ parameter in s.u/ is set to 60 1/m. Using theEulerCromer function from theosc_EC_generalcode, we canwrite a functionsliding_frictionfor solving thisproblem: def sliding_friction(): from numpy import tanh, sign f = lambda v: mu*m*g*sign(v) alpha = 60.0 s = lambda u: k/alpha*tanh(alpha*u) F = lambda t: 0 g = 9.81 mu = 0.4 m = 1 k = 1000
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Programming for Computations – Python A Gentle Introduction to Numerical Simulations with Python
Titel
Programming for Computations – Python
Untertitel
A Gentle Introduction to Numerical Simulations with Python
Autoren
Svein Linge
Hans Petter Langtangen
Verlag
Springer Open
Datum
2016
Sprache
englisch
Lizenz
CC BY-NC 4.0
ISBN
978-3-319-32428-9
Abmessungen
17.8 x 25.4 cm
Seiten
248
Schlagwörter
Programmiersprache, Informatik, programming language, functional, imperative, object-oriented, reflective
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Programming for Computations – Python