Nazwa przedmiotu:
Computer Methods for Structural Design
Koordynator przedmiotu:
Tomasz Sokół, Ph.D., Eng.
Status przedmiotu:
Obowiązkowy
Poziom kształcenia:
Studia II stopnia
Program:
Civil Engineering
Grupa przedmiotów:
Obligatory
Kod przedmiotu:
1080-BUKBD-MSA-0403
Semestr nominalny:
2 / rok ak. 2021/2022
Liczba punktów ECTS:
4
Liczba godzin pracy studenta związanych z osiągnięciem efektów uczenia się:
Total 100 h = 4 ECTS: 30 h laboratory exercises in a computer lab., 15 h lecture, 30 h own work in the preparation of three homeworks - computing projects, 10 h to prepare and to be present for the test completion of lectures.
Liczba punktów ECTS na zajęciach wymagających bezpośredniego udziału nauczycieli akademickich:
Total 60 h = 2,5 ECTS: 30 h laboratory exercises in a computer lab., 15 h lecture, consultations and test 15 h.
Język prowadzenia zajęć:
angielski
Liczba punktów ECTS, którą student uzyskuje w ramach zajęć o charakterze praktycznym:
Total 60 h = 2,5 ECTS: 30 h exercises in the computer lab, 30 h self-work to prepare 3 homeworks - computational projects.
Formy zajęć i ich wymiar w semestrze:
  • Wykład15h
  • Ćwiczenia0h
  • Laboratorium0h
  • Projekt0h
  • Lekcje komputerowe30h
Wymagania wstępne:
Basic knowledge of algebra and mathematical analysis, knowledge of matrix and differential, completed a course strength of materials and structural mechanics of statics, dynamics and stability of the structure, basics of the theory of elasticity and plasticity. Basics of linear FEM static.
Limit liczby studentów:
none
Cel przedmiotu:
The ability to model complex flat and spatial structures using finite element method, understanding and application of FEM algorithms to solve the advanced structural mechanics problems, an understanding of the theoretical basis of approximate methods for solving nonlinear boundary value problems and eigenprobles, the ability to interpret and verify the results obtained on computer. Gaining knowledge of design optimization and nonlinear programming methods.
Treści kształcenia:
Modeling of complex engineering structures using finite element method. Creating a geometric model of structure and mesh generation in Ansys FEA system. Practical application of adaptive techniques to automatically correct the accuracy of the solution. Alternative methods for FEM: finite difference method, Ritz and Galerkin methods, the concept of meshless methods. Analysis of the initial stability and vibration problems by solving a generalized eigenproblems. The dynamics of discrete systems and overview of the method of integration of motion equations. FEM algorithm in nonlinear mechanics. Selected problems of design optimization: size, shape and topology optimization. Optimal design of structures subjected to multi-load cases.
Metody oceny:
Credit with a course consists in collecting min. 50% of points of theoretical knowledge and and practical skills. The first one is verified in one final test. Practical skills in FEM-modelling and FEM-software is evaluated in three computational projects.
Egzamin:
nie
Literatura:
[1] A. Ralston, P. Rabinowitz, A First Course in Numerical Analysis: Second Edition, McGraw-Hill, 1978; [2] O.C. Zienkiewicz, The Finite Element Method in Engineering Science, McGraw-Hill, 1971; [3] O.C. Zienkiewicz, R.L. Taylor, The Finite Element Method, Fifth Edition, Volume 1: The Basis, Butterworth-Heinemann, 2000; [4] S.S. Rao, Engineering Optimization, Theory and Practice, Third Edition, John Wiley & Sons, Inc., New York, 1996; Other links are included in the web-page.
Witryna www przedmiotu:
wektor.il.pw.edu.pl/~mkb
Uwagi:

Efekty uczenia się

Profil ogólnoakademicki - wiedza

Charakterystyka W1
The graduates have knowledge of the theoretical foundations of computer methods for: linear and nonlinear statics, dynamics and stability of the structure, as well as extended knowledge of structural optimization (optimization of shape and topology). They understand the nature of the approximate solutions obtained by discrete methods.
Weryfikacja: Test of theoretical knowledge from the lecture.
Powiązane charakterystyki kierunkowe: K2_W04, K2_W05
Powiązane charakterystyki obszarowe: P7U_W, I.P7S_WG.o, III.P7S_WG

Profil ogólnoakademicki - umiejętności

Charakterystyka U1
The graduates can define computational models used for computer analysis of the design and choose suitable for this purpose software/method. They can verify the results obtained by computer.
Weryfikacja: Realization and defense of the three computational projects.
Powiązane charakterystyki kierunkowe: K2_U03
Powiązane charakterystyki obszarowe: P7U_U, I.P7S_UW.o, III.P7S_UW.o

Profil ogólnoakademicki - kompetencje społeczne

Charakterystyka K1
The graduates can work independently and in a team to solve the specific problem. They draws conclusions and describes the results of their own work.
Weryfikacja: Reports on project work done partly independently and partly as a team with a comparison of the results obtained with various programs. Observation of students' work in the computer room.
Powiązane charakterystyki kierunkowe: K2_K02
Powiązane charakterystyki obszarowe: P7U_K, I.P7S_KK