Industrial Megaprojects: Concepts, strategies and practices for success

This is a review of a recent book on Megaprojects written by an experienced practitioner and researcher of megaprojects who has been writing about them over the last three decades. It focuses on industrial megaprojects covering mainly megaprojects in the Oil & Gas Production, Petroleum Processing and Refining, Minerals and Metals, Chemical, LNG, Power Generation and Pipelines. The book is written mainly from the perspective of project owners but contains some good advice to project managers as well.

Editorial

Editorial for 2014 Issue of Organisational Project Managemen

Program Management

A review if the book Program Managment authored by Michel Thir

Editorial

Editorial Vol 2 No

Editorial

Editorial for Vol 1 Iss

Editorial

The main purpose of this special issue is to provide a forum to explore how the possibility for online delivery of education was being embraced by the project management community. I was interested in the answers to several questions. How were online delivery opportunities being explored by project management educators? Was the design of the project management  curriculum being affected by the possibilities for online delivery? What was the actual impact of online delivery for the development of project managers’ skills and knowledge

Uncertainty Quantification in Fatigue Crack Growth Prognosis

This paper presents a methodology to quantify the uncertainty in fatigue crack growth prognosis, applied to structures with complicated geometry and subjected to variable amplitude multi-axial loading. Finite element analysis is used to address the complicated geometry and calculate the stress intensity factors. Multi-modal stress intensity factors due to multi-axial loading are combined to calculate an equivalent stress intensity factor using a characteristic plane approach. Crack growth under variable amplitude loading is modeled using a modified Paris law that includes retardation effects. During cycle-by-cycle integration of the crack growth law, a Gaussian process surrogate model is used to replace the expensive finite element analysis. The effect of different types of uncertainty – physical variability, data uncertainty and modeling errors – on crack growth prediction is investigated. The various sources of uncertainty include, but not limited to, variability in loading conditions, material parameters, experimental data, model uncertainty, etc. Three different types of modeling errors – crack growth model error, discretization error and surrogate model error – are included in analysis. The different types of uncertainty are incorporated into the crack growth prediction methodology to predict the probability distribution of crack size as a function of number of load cycles. The proposed method is illustrated using an application problem, surface cracking in a cylindrical structure