Lifetime Engineering (or Life Cycle Engineering) is a technical approach for meeting the
current objective of sustainable development. The approach is aimed to turn today’s reactive
and short-term design, management and maintenance planning towards an optimised and
long-term technical approach. The life cycle based management and maintenance planning
approach includes condition assessment, predictive modelling of performance changes,
maintenance, repair and refurbishment planning and decisions. The Life Cycle Management
System (LMS) is a predictive and generic life cycle based management system aimed to
support all types of decision making and planning of optimal maintenance, repair and
refurbishment activities of any constructed works. The system takes into account a number of
aspects in sustainable and conscious development such as human requirements, life cycle
economy, life cycle ecology and cultural requirements. The LMS is a system by which the
complete system or parts thereof, works in co-operation or as a complement to existing
business support systems. The system is module based where each module represents a subprocess
within the maintenance management process. The scope of this thesis is focused on
development and adaptation of the predictive characteristic of LMS towards a presumptive
user. The objective is to develop and adapt a Service Life Performance Analysis module
applicable for condition based Facility Management System in general and for condition
based Bridge Management System in particular. Emphasis is placed on development and
adaptation of a conditional probability based Service Life Performance Analysis model in
which degradation models and Markov chains play a decisive role. The thesis deals also with
development and adaptation of environmental exposure data recording and processing, with
special emphasis on quantitative environmental classification in order to provide a simplified
method of Service Life Performance Analysis.