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.