Abstract Submissions

We sincerely look forward to your valuable contributions to ICASP14 and continued support.

Key Dates

• Mini Symposia Proposal Submission: March 1 - April 28, 2022
  The submission for mini symposia is now closed. Please see the accepted MS listed below.
• Abstract Submission for Mini Symposia and General Sessions: May 31 - September 30, 2022
  The submission system is now closed and the abstracts have been reviewed.
• Full Paper Submission: November 2, 2022 - February 13, 2023
  Page limit of full papers: 8 pages including references and appendix.
  Please click here to download the Word paper template.
  The LaTeX  template was checked with TeXstudio.
  The submission system is now closed and complete papers have been reviewed. Accepted paper submitters have been notified by email. Please also check your spam/junk folder for this.
  To view your paper decision and reviewer notes please log into your Oxford Abstracts account.

General Rules and Information

• All presenting authors (speakers) are required to complete their paid registrations until March 31st, 2023.
• In order to be included in the final conference program and proceedings, each of the accepted full papers should be associated with a paid registration.
• Two papers are included in the registration, any additional paper accepted will incur a fee of 200€. This will be applied by the Conference Secretariat after registration.

• Publication: Papers will be made available under a Creative Commons Attribution (CC BY) license, meaning that anyone is free to share and reuse the paper as long as attribution is given to the authors. Authors are free to reuse their own papers as long as they provide attribution, but will need to abide by their publishers' prior publication policies for any future publications arising from the content of their paper. 

Mini Symposia /  Proposed Sessions

Listed below are the mini symposia which have been accepted as sessions additional to the General Sessions.

• MS 1: Data-Driven Risk Assessment of Structures and Infrastructure against Natural Hazards
• MS 4: Quantitative assessment, performance prediction and design of interventions of existing concrete structures
• MS 5: Civil Infrastructure in a Changing Climate: from Nonstationary Risk Assessment to Developing Adaptation Strategies
• MS 6: Optimal decision making under uncertainty
• MS 7: Risk, Reliability and Resilience of Complex Systems
• MS 8: Recent Advances in Stochastic Engineering Dynamics
• MS 9: Performance assessment of existing structures – concepts and methods
• MS 10: Life-Cycle Risk, Resilience, and Sustainability of Structures and Infrastructure Systems
• MS 11: Multi-hazard risk modelling: beyond conventional approaches
• MS 13: Reliability assessment in computational structural dynamics: Advancements in theory and applications
• MS 14: Timber engineering – Structural reliability, probabilistic modelling, environmental assessment
• MS 15: Applications of Statistics and Probability in Renewable Energy Systems
• MS 17: Bayesian analysis of structural and geotechnical models
• MS 18: Risk-Targeted Design Loads for Buildings and Infrastructure
• MS 19: Surrogate and Reduced Order Models
• MS 20: Probabilistic modelling of natural hazards and associated risks
• MS 21: Community and Regional Resilience Modeling for Decision-Support
• MS 22: Recent advances in geotechnical risk and reliability
• MS 23: Design Optimization of Structures under Uncertainty
• MS 24: Vibration Analysis and Mitigation of Structures under Uncertainties
• MS 25: Information Value and Decision Analyses
• MS 26: Advances in methods for global reliability of complex structures
• MS 27: Data-driven and physical-informed methods for structural reliability assessment and design under deep uncertainties
• MS 28: Structural Health Monitoring and Uncertainties in Modeling and Inspection
• MS 29: Novel challenges in performance-based seismic design and seismic performance assessment of structures
• MS 30: Probabilistic Design and Reliability of Offshore Wind Turbines
• MS 31: Design of Structural Systems for Robustness Against Disproportional Collapse
• MS 33: Inspection and Monitoring of Built Infrastructure
• MS 35: Uncertainty in Geotechnical Engineering
• MS 36: Uncertainty in Traffic Data
• MS 37: Reliability Based Assessment of Structures
• MS 38: Reliability, Risk and Resilience of Civil Engineering Systems under Multiple Hazards
• MS 39: Climate-resilient infrastructure networks: modeling and evaluating resilience enhancing interventions
• MS 40: Probabilistic Modelling of Bridge Traffic Loading
• MS 41: Calibration of Structural Design Codes
• MS 42: Uncertainties in hydrology and scour risks
• MS 44: Recent developments on probabilistic modeling of systems