> Resilience, robustness and redundancy of infrastructure systems;
> Risk assessment and management;
> Climate change and loading uncertainties;
> Novel decision-making frameworks;
> Fundamentals and application of probability theories.
The International Probabilistic Workshop (IPW2020) will take place on May 12-14, 2021 at University of Minho, Guimarães, Portugal
|Time||May 12 |
|May 13 |
|8:00 – 9:00||Registration||Registration||Registration|
|9:00 – 9:45||Opening Session||Keynote Lecture 3||Scientific Sessions|
|9:45 – 10:30||Keynote Lecture 1||Scientific Sessions||Scientific Sessions|
|10:30 – 11:00||Coffee-Break||Coffee-Break||Coffee-Break|
|11:00 – 12:00||Scientific Sessions||Scientific Sessions||Keynote Lecture 5|
|12:00 – 12:30||Scientific Sessions||Scientific Sessions||Closing Session|
|12:30 – 14:00||Lunch||Lunch||Lunch|
|14:00 – 14:45||Keynote Lecture 2||Keynote Lecture 4||Social activity|
|14:45 – 16:00||Scientific Sessions||Scientific Sessions||Social activity|
|16:00 – 16:30||Coffee-Break||Coffee-Break||Social activity|
|16:30 – 18:00||Scientific Sessions||Scientific Sessions||Social activity|
|19:30 – 23:00||Gala Dinner|
Title: Data Mining algorithms in the scope of reliability/optimization analyses
Organizer(s): José Matos, Mário Coelho, Joaquim Tinoco (University of Minho)
Summary: In the present Special Session the use of Data Mining algorithms in the context of reliability/optimization analyses is addressed. Advantages, limitations, future challenges, practical applications, among other important aspects, might be included in this Special Session. Regardless to the specific mechanical field, materials and technologies employed, if Data Mining algorithms were used to perform a reliability analyses or to conduct an optimization analyses, the present Special Session is the privileged forum to present and discuss the obtained results.
Title: Data-based probabilistic tools on quality control of existing structures
Organizer(s): Jose C. Matos (University of Minho), Joan R. Casas (Technical University of Catalonia)
Summary: The quality control of existing structures is a needed procedure in order to guarantee that such structures should fulfil their performance requirements during their whole life. There are two possibilities of performing such control, respectively, through a qualitative and a quantitative-based approach. In order to perform the former procedure it is recommended the use of probabilistic tools to compute the corresponding KPI (Key Performance Indicators), i.e., Reliability, Safety, Availability, Economy and, sometimes, Environment. Within this session, it is presented a set of quantitative-based applications for the quality control of existing structures.
Title: Probabilistic treatment of reinforcement corrosion: initiation and propagation
Organizer(s): Carmen Andrade (CIMNE), Dimitri Val (Heriot-Watt University)
Summary: Corrosion of reinforcing steel is the most common cause of deterioration of structural concrete and may significantly affect its bearing capacity and serviceability. Existing models of corrosion initiation and propagation have clearly need further refinement since they have not been sufficiently calibrated/validated against long-term data. In addition, the structural response of corroding structures has yet to be fully understood and there are numerous uncertainties associated with material properties, loads, environmental conditions and models. Moreover, the materials and environmental conditions/loads change over time (the latter due to climate change) and by that reason their parameters may have not been adequately characterized. For this Special Session, you are invited to submit works on the probabilistic treatment of corrosion initiation and propagation, in particular dealing with uncertainties associated with the chloride threshold value, deterioration limit state, impacts of humidity and temperature on carbonation, chloride ingress and corrosion rates, as well as on reliability aspects of the structural performance of corroding reinforced concrete structures.
Title:Semi-probabilistic approach for performance assessment of existing structures
Organizer(s): André Orcesi (IFSTTAR), Salvatore Di Bernardo (Ciorba Group)
Summary: The application of design-orientated methods to the assessment of existing structures often leads to a high degree of conservatism, which may have severe economic, environment and socio-political consequences when it results in satisfactory structures being condemned as unsafe, thereby leading to an unnecessary investment of resources in replacement or retrofitting, with its associated dismantling (JRC report of CEN/TC250/WG2, 2015). The effects of the construction process and subsequent life of the structure, during which it may have undergone alteration, deterioration, misuse and other changes to its as-built (as designed) state, need to be taken into account. It is thus possible to obtain and gain more or less detailed information on a specific structure.
The partial safety approach considers the application of statistics and probability in the evaluation of the input data, the formulation of assessment criteria, and the determination of load and resistance factors. This approach allows easy calculations, while covering the variability in structural behaviour and loading. However, semi-probabilistic formats are not able to efficiency and correctly manipulate information obtained from measurements and inspections and their use for performance assessment of structures still represents a challenge. To overcome this limitation, a probabilistic approach has to be considered to re-calibrate partial factors.
The Mini-Symposium intends to provide a broad forum for discussions about a semi-probabilistic framework for assessment of existing structures, recent developments and associated assumptions.
Note: Special session organized on behalf of the IABSE TG1.3 “Calibration of Partial Safety Factors for the Assessment of Existing Bridges”.
Title: Probabilistic tools for probabilistic vulnerability and lifetime assessment of infrastructure in the context of climate change & natural hazards in Atlantic area
Organizer(s): Mário Coelho (University of Minho), Vikram Pakrashi (University College Dublin), Emilio Bastidas-Arteaga (Université de Nantes)
Summary: In the present special session the probabilistic vulnerability and lifetime assessment of transportation infrastructure to interceptable and non interceptable events under various climate change and variability scenarios is addressed. Considering the uncertainty associated with the occurrence of the natural hazards, the vulnerability of the infrastructures, as well as the ongoing climate change, variability and its effect on both hazard and vulnerability, the use of probabilistic tools is of relevance. The present session aims at gathering contributions from the research community developing and applying probabilistic tools in the context referred before. The topics include, but are not limited to:
The International Probabilistic Workshop (IPW2020) will take place on May 12-14, 2021 at University of Minho, Guimarães, Portugal.
The workshop aims at providing an international forum for the debate on, among others, issues such as the resilience, robustness and redundancy of infrastructure systems, risk assessment and management, climate change and loading uncertainties, novel decision-making frameworks, and many other topics