Aims and scope
Structure and Infrastructure Engineering – Maintenance, Management, Life-Cycle Design and Performance (SIE) is a subscription-based, peer-reviewed journal covering recent advances in maintenance, management and life-cycle performance of a wide range of infrastructure systems, such as: buildings, bridges, dams, road networks, railways, underground constructions, offshore platforms, pipelines, ocean structures, nuclear power plants, and other types of constructed facilities.

SIE’s audience includes researchers and practitioners in maintenance, management and life-cycle performance of infrastructure systems. To this end, the journal welcomes for consideration the following article types, which when received by the Journal will be subject to single anonymous peer review: research paper, review paper, data note, book review, commentary and letter to the Editor.

SIE presents research and developments on the most advanced technologies for analysing, predicting and optimizing infrastructure performance. Papers considered for publication are original, high-quality papers that form a significant contribution to the theory or practice of infrastructure engineering, present state-of-the-art work on a topic related to infrastructure, or describe a case study in which theory is applied to a significant infrastructure problem.

The scope of SIE encompasses, but is not restricted to:

mathematical modelling
computer and experimental methods
practical infrastructure applications
construction and design for durability
decision-making
deterioration modelling and aging
failure analysis
field testing
inspection and diagnostics
life-cycle analysis and prediction
loads and multi-hazards
climate change impact on infrastructure
maintenance strategies
management systems
non-destructive testing
monitoring, optimization of maintenance and management
specifications and norms
time-dependent performance
rehabilitation, repair, replacement
probabilistic methods and reliability analysis
risk assessment and risk-based optimization
service life prediction and life extension
mitigation and strengthening
resilience, sustainability and whole life costing
machine learning infrastructure
novel software and technologies in infrastructure engineering
Authors can choose to publish gold open access in this journal.

Read the Instructions for Authors for information on how to submit your article.