Unit

Course
Mechanical engineering
Study-unit Code
A005754
Curriculum
Mechanical design
Teacher
Luca Landi
CFU
9
Course Regulation
Coorte 2025
Offered
2025/26
Type of study-unit
Opzionale (Optional)
Type of learning activities
Attività formativa integrata

Code A005755
CFU 5
Teacher Luca Landi
Teachers
  • Luca Landi
Hours
  • 40 ore - Luca Landi
Learning activities Affine/integrativa
Area Attività formative affini o integrative
Academic discipline ING-IND/14
Type of study-unit Opzionale (Optional)
Language of instruction italian
Contents The exam consists of two main modules:

elements of statistics for design and optimization
methods and tools for design reliability
Reference texts stefano beretta, Affidabilità delle costruzioni meccaniche. Strumenti e metodi per l'affidabilità di un progetto, Springer, 2009

D. Montgomery " Statistical process control" McGraw Hill
Educational objectives provide methods and basic notions of statistics to allow calculation of reliasbility of products / projects
Prerequisites Machine Desing subjects

fondamental topics of mechanical engineering of the laurea degree such as: static strength and fatigue of metallic materials
Teaching methods - frontal classroom lessons for all subjects in the classroom
Other information Students
See faculty reception for the Perugia office Students are always welcome
Learning verification modality oral examination

For information on support services for students with disabilities and / or DSA visit the page http://www.unipg.it/disabilita-e-dsa
Extended program References of statistical distributions applied to process problems and verification of the goodness of adaptation of sample data to binomial, normal, exponential and weibull distributions.
ALARP
Bayesian statistic
hints of conditional reliability
Fundamentals of inferential and descriptive statistics, hypothesis testing
Extreme values
Return time
Correlation and R2
series and parallel reliability
Failure rates definition and calculation
Reliability of complex system
FMEA,FTA, ET
Obiettivi Agenda 2030 per lo sviluppo sostenibile 4 and 9

STRUCTURAL RELIABILITY AND DURABILITY

Code A005756
CFU 4
Teacher Filippo Cianetti
Teachers
  • Filippo Cianetti
Hours
  • 32 ore - Filippo Cianetti
Learning activities Affine/integrativa
Area Attività formative affini o integrative
Academic discipline ING-IND/14
Type of study-unit Opzionale (Optional)
Language of instruction Italian
Contents Module B “Affidabilita' strutturale e durabilita'” of the “Progettazione Robusta” course aims to provide fundamental notions on the reliability assessment of fatigue strenght on complex random processes and calculation methods for their adoption (MATLAB language will be adopted for the exercises part of the course)
Reference texts Teacher's notes

Shigley J.E., Mischke C.R., “Mechanical Engineering Design”, Ed. McGraw-Hill, Inc.

Collins J.A., “Failure Of Materials In Mechanical Design”, John Wiley & Sons

Dahlberg T., Ekberg A., ”Failure Fracture Fatigue: An Introduction”, Studentlitteratur, Lund

Matlab Manuals
Educational objectives The student will acquire knowledge and skills in the field of signal analysis and in the field of fatigue behavior assessment of components subjected to mono and multi-axial stress states expressed in time and frequency domains (PSD). The student will therefore acquire the ability to reconstruct the probability density function and probability of a time signal and to extract from it the load spectrum of the alternating component of the cycles by means of counting methods in the time domain. Furthermore, the student will be able to obtain the representation of the FFT and the power spectral density function (PSD) in the frequency domain of a time-varying signal. The student will also acquire the ability to generate load histories in the time domain starting from their FFT and PSD frequency representations. The student will also be able to estimate the load spectrum of the alternating component of the cycles of a signal represented exclusively in frequency by its PSD. Finally, the student will be able to manage a multi-axial stress state time-varying or represented in frequency (PSD) in order to evaluate the fatigue strength of a component.
Prerequisites To understand and be able to apply most of the techniques described in the course, preliminary knowledge of “Costruzione di Macchine” is required (Bachelor's Degree in Mechanical Engineering)
Teaching methods The module is organized in:
• classroom lectures during which the topics covered in the course are addressed.
• in parallel, classroom exercises will be carried out using MATLAB numerical language
All the teaching material used during the course is available through the Unistudium platform.
Other information Further information is available through the Unistudium page of the course. The teacher is available for consultations at the end of each lesson; consultations with the teacher in person or through the Microsoft Teams platform can also be arranged at other times.
Learning verification modality The exam for the “Progettazione Robusta” course, of which the “Affidabilità strutturale e durabilità” module represents module B, includes an oral test aimed at verifying knowledge of all the topics covered in the two modules.
Extended program Signal analysis
Notes on signal analysis. Deterministic processes and Fast Fourier Transform. Random processes and power spectral density (PSD). Theoretical definitions.

Uniaxial fatigue (S-N).
Recall and insights into uniaxial fatigue. Reliability of strength curves. Load spectra.

Evaluation of equivalent load spectra.
Definition of the so called “fattore di spettro” (spectrum factor). Cycle counting methods in the time domain. Reconstruction of load spectra from PSD functions in the frequency domain. Dirlik formula. Evaluation of the damaging power of loads, forces and accelerations.

Uniaxial fatigue (E-N).
Introduction and definition of the resistance curve. Neuber formula

Multiaxial fatigue (S-N)
Engineering approach to the problem of evaluating the strength of a component subjected to a multiaxial state of stress in time and frequency.
Obiettivi Agenda 2030 per lo sviluppo sostenibile • Goal 4: Quality education
• Goal 9: Industry, innovation and infrastructure
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