2011 Probability-based Engineering Analysis and Design

The series of lecture seminars are provided by Prof. Dr. Steve Winterstein, Stanford University, on 15, 16 and 17 June 2011, 13:00-16:00 at Auditorium 37, Building 306, DTU (Link to the DTU campus map). The target audience is PhD students as well as researchers in the field of civil and mechanical engineering who are interested in the application of the probability concept in the analysis and design of engineered systems; however, anybody who are interested in the seminars are welcome to join.

 

Daily topics and organization 

The topics of the three-day seminars are organized as follows:

  • 15 June (Day 1): Probability-Based Engineering: Background, Motivation, and Teaching Experiences
  • 16 June (Day 2): Probability-Based Engineering: Recent Methodology Advances
  • 17 June (Day 3): Applications to Wind, Wave, and Hazard Risk Assessment 

While all are welcome to attend all days, this organization is intended to help attendees anticipate which sessions will be of most interest.

Course description

Download from here.

 

Lecture plan/materials 

Visit here.

 

Evaluation and ECTS points

2 ECTS points are given for successful students. The evaluation is made on the basis of attendance to the lectures and report (details here).

 

 

 

Objectives

This series of lecture seminars will survey the topics of probability and stochastic processes, and their  application to various problems of engineering analysis and design. Emphasis will be placed on methods that are in common use in industry applications of reliability theory:

  • Probability theory: Discussion of basic models; historical context of engineering applications
  • Random process theory: Emphasis on models used to describe random vibration of mechanical systems 
  • Statistical inference: Calibration of probability models to the data at hand
  • Structural reliability analysis: Discussion of methods to propagate the uncertainty in these models, such as Monte-Carlo simulation, FORM and SORM
  • Probability-based design: Illustration of methods such as LRFD (load- and resistance-factor design)

Case studies will be drawn from a wide range of engineering applications.  Particular attention will be paid to complex structural loading mechanisms -- such as wind, wave, seismic, and ice loads -- whose uncertainties have especially motivated the use of probabilistic methods.  Limit states arising from both extreme loading and cumulative damage will be considered.  The basis behind some current probability-based structural codes will be discussed.

 

Additional material and references will be made available to those seeking greater technical detail.

 

The series of lecture seminars are jointly orgainzed by Department of Civil Engineering, Department of Mechanical Engineering and DCAMM.

 

Responsible person: Assoc. Prof. Kazuyoshi Nishijima.