Call for Papers

• For publishing your contribution 5 documents are required and have to be uploaded before April 17:
  1. Paper word or latex
  2. Paper pdf or hardcopy
  3. Two page abstract (summary) word or latex
  4. Two page abstract (summary) pdf or hardcopy
  5. Filled consent to publish
• Please use the same template for the paper and the two-page abstract. For the two-page abstract use the two columns template without the abstract part.
• Please note that the maximum number of pages per full paper is 8. Paper with more pages will be rejected.

 

• Upload paper and two page abstract

• Download the template for papers/abstracts and instruction documents here.

 

Conference Themes

Uncertainty, statistics and probability

Uncertainty modeling, Bayesian statistics, Hyper-parametric representations, Spatial and temporal dependency, First passage and out-crossing problems, Characteristics of stochastic processes and fields.

Decision analysis

Preference modeling, Utility modeling, Normative and descriptive decision analysis, Value of information analysis, Treatment of aleatory and epistemic uncertainty.

Risk assessment

Representation of systems, Quantitative risk assessment, Consequence modeling, Socio-economics and discounting, Risk criteria and acceptability, Risk perception, Risk communication.

Statistical investigations and probabilistic modeling

Experiment planning, Time series analysis, Data mining, Geo-statistical techniques, Regression analysis, Incident and failure time analysis, Extremes values.

Reliability methods

Component reliability analysis, System reliability analysis, FORM/SORM related methods, Time variant reliability analysis, Response surface methodologies, Monte Carlo simulation techniques, Markov Chain Monte Carlo methods, Bayesian Probabilistic Nets, Petri Nets, Large/complex systems techniques.

Structural reliability

Optimal design of new structures, Assessment of existing structures, Vulnerability modeling, Robustness assessment, Stochastic finite elements, Stochastic dynamics.

Probabilistic modeling in engineering

Material characteristics; steel, concrete, timber, glass, composites, Soil characteristics, Load combinations, Wind loads, Snow loads, Traffic loads, Waves, current and surge, Fire and explosion modeling, Fatigue and fracture mechanics , Corrosion, Contamination, Climatic modeling and down-scaling, Inspection modeling, Repair modeling.

Natural hazards modeling

Earthquakes, Typhoons and hurricanes, Rock-fall, Avalanches, Landslides, Floods, Tsunamis, Volcanic eruptions.

Probabilistic seismic hazard analysis

Seismic hazard analysis, Earthquake loss and risk assessment, Portfolio loss modeling.

Life-cycle analysis

Life-cycle cost modeling, Discounting, Renewal theoretical concepts, Sustainability modeling.

Human and organizational factors

Human errors, Organizational errors, Ergonomics, Quality control.

Applications

Law and policy making, Code calibration, Optimal structural design, Upgrading and life extension, Design of protection structures, Inspection and maintenance planning, Environmental risk assessment, Strategic resource allocation for multi-hazard risk management, GIS based risk management systems, Health monitoring and smart structures, Large scale earthquake risk management, Flood and tsunami risk management, Risk management of infrastructure systems (traffic, energy, water, waste disposal), Fire risk design, management and loss estimation, Design and maintenance of bridges, offshore, marine and wind turbine structures, Risk assessment and safety management for tunnels and roads, Typhoon and hurricane loss assessment, Nuclear facility risk management, Insurance hazards and risk modeling, Disaster prevention and loss reduction, Risk based strategies for aid and governance.