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DTSTART;TZID=Europe/Rome:20240201T110000
DTEND;TZID=Europe/Rome:20240201T130000
DTSTAMP:20260508T063748
CREATED:20240122T161430Z
LAST-MODIFIED:20240122T161430Z
UID:31582-1706785200-1706792400@www.dica.polimi.it
SUMMARY:Suggestions for writing a successfull scientific paper
DESCRIPTION:Giovedì 1 febbraio dalle ore 11.00 alle ore 13.00 presso l’Aula Fassò (Edificio 4A – p.za Leonardo da Vinci\, 32 – Milano) si terrà un seminario indirizzato principalmente a dottorandi e assegnisti\, dal titolo: “Suggestions for writing a successfull scientific paper“\, tenuto dal Prof. Günter Bloeschl (TU Wien\, Institute of Hydraulic Engineering and Water Resources Management). \n 
URL:https://www.dica.polimi.it/it/evento/suggestions-for-writing-a-successfull-scientific-paper/
CATEGORIES:Seminari e conferenze
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DTSTART;TZID=Europe/Rome:20240206T171500
DTEND;TZID=Europe/Rome:20240206T183000
DTSTAMP:20260508T063748
CREATED:20240202T101441Z
LAST-MODIFIED:20240202T101441Z
UID:31584-1707239700-1707244200@www.dica.polimi.it
SUMMARY:PhDTalks | Healing capacity of Ultra High Performance Concrete under sustained through crack tensile stresses and aggressive environments
DESCRIPTION:Il prossimo appuntamento con la serie di incontri PhDTalks si terrà Martedì 6 febbraio nell’aula Fassò (Edificio 4A)\, dalle 17:15 alle 18:30 CET. \nPhDTalks è una serie di seminari e discussioni tra dottorandi. Gli eventi hanno lo scopo di fornire un luogo dove creare un network tra dottorandi ed entrare in contatto con i molti progetti sviluppati nel nostro dipartimento. \nLo speaker Xi Bin condurrà un seminario dal titolo “Healing capacity of Ultra High Performance Concrete under sustained through crack tensile stresses and aggressive environments”.  \nAl termine dell’evento sarà disponibile un piccolo rinfresco finanziato dal dipartimento. \nSarà possibile seguire la conferenza anche online al seguente link. \nAbstract \nThis study investigates the self-healing capabilities of Ultra-High Performance Concrete (UHPC) under the combined influence of mechanical and environmental factors. Specifically\, it delves into the long-term self-healing process in pre-cracked UHPC samples that endure continuous sustained tensile stresses across the cracks and are exposed to aggressive environmental conditions for one year. This study not only emphasizes that pre-cracked UHPC\, when exposed to both mechanical stresses and aggressive environments\, can maintain excellent durability and mechanical strength due to its self-healing effect but also lays the foundation for evaluating the self-healing potential of cement-based materials under conditions representative of real-world structural scenarios. \nSpeaker’s bio \nBin is a PhD candidate in the 36th cycle of SSGE at Politecnico di Milano. He holds a master’s degree in civil engineering from Shenzhen University\, China. His current research focuses on the realms of self-healing and durability within the context of fiber-reinforced concrete. Outside the academic sphere\, Bin is passionate about exploring new horizons. Traveling and hiking are his preferred avenues for relaxation and personal enrichment.
URL:https://www.dica.polimi.it/it/evento/phdtalks-healing-capacity-of-ultra-high-performance-concrete-under-sustained-through-crack-tensile-stresses-and-aggressive-environments/
CATEGORIES:PHD Life,Seminari e conferenze
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DTSTART;TZID=Europe/Rome:20240209T110000
DTEND;TZID=Europe/Rome:20240209T130000
DTSTAMP:20260508T063748
CREATED:20240131T083948Z
LAST-MODIFIED:20240131T083948Z
UID:31583-1707476400-1707483600@www.dica.polimi.it
SUMMARY:Bayesian assessment of existing concrete structures: dealing with different types of information and challenges for the future
DESCRIPTION:Venerdì 9 febbraio alle ore 11.00 presso l’Aula Castigliano (Edificio 5 – p.za Leonardo da Vinci\, 32 – Milano) si terrà un seminario dal titolo: “Bayesian assessment of existing concrete structures: dealing with different types of information and challenges for the future“\, tenuto dal Prof. Robby Caspeele (Magnel-Vandepitte Laboratory\, Department of Structural Engineering and Building Materials\, Ghent University\, Belgium). \nAbstract \nAn increasing amount of the current activities in the construction sector are oriented towards the assessment of existing structures and the associated repair and upgrading interventions. Although the last decennia significant progress has been made to analytically and numerically simulate the degradation process of concrete structures and their associated structural performance prediction in time\, structural engineers are challenged to deal with the large uncertainties involved. Besides a typical lack of information\, the degradation processes are associated with large uncertainties and when executing additional investigations and measurements\, significant model and measurement uncertainties play a dominant role in the reliability-based performance prediction. Bayesian updating techniques provide a unique engineering tool\, enabling to make inferences where classical statistical approaches fail. It is explained and illustrated how Bayesian updating techniques provide an undeniable advantage in several steps of the assessment process. Degradation models whose parameters generally are difficult to find consensus about\, can gradually be updated when more information becomes available. Variables in structural reliability calculations can be updated on the basis of direct as well as indirect measurement data. Sources of information contained in different types of measurements or even visual inspections can be combined in order to make much more informed inferences and to reduce uncertainties in the reliability-based performance assessment\, compared to when such data is analysed separately. The integration of these approaches into the practical assessment process is proven to be feasible and an outlook is given on future engineering challenges to integrate such approaches further in the life-cycle assessment of existing concrete structures. \nSpeaker’s bio \nRobby Caspeele is a professor in the field of Structural Reliability at Ghent University (UGent) since 2013 and one of the technical directors of the Magnel-Vandepitte Laboratory for Structural Engineering and Building Materials. He received his MSc degree in Civil Engineering in 2006 and his PhD in Civil Engineering in 2010. His main areas of expertise relate to (1) full- and semi-probabilistic structural reliability methods and Bayesian updating techniques in relation to performance-based life-cycle analysis of concrete structures\, (2) structural robustness and membrane action in concrete structures in relation to design against progressive collapse as a result of foreseen and unforeseen events and (3) structural assessment of existing structures in relation to time-dependent degradation\, combining numerical structural analysis approaches with Bayesian updating techniques\, decision making for structural interventions and lifetime performance optimization. He is author of more than 75 publications in peer-reviewed journals and over 200 papers in international scientific conference proceedings. He is also strongly involved in international committees and working groups related to the development of technical guidelines and standards. Among others\, he is a board member of the Joint Committee on Structural Safety\, co-convenor of fib Commission 3 on Existing Structures and chair of the Belgian mirror committee for the Eurocodes.
URL:https://www.dica.polimi.it/it/evento/bayesian-assessment-of-existing-concrete-structures-dealing-with-different-types-of-information-and-challenges-for-the-future/
CATEGORIES:Seminari e conferenze
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DTSTART;TZID=Europe/Rome:20240220T171500
DTEND;TZID=Europe/Rome:20240220T183000
DTSTAMP:20260508T063748
CREATED:20240215T160708Z
LAST-MODIFIED:20240215T160708Z
UID:31586-1708449300-1708453800@www.dica.polimi.it
SUMMARY:PhDTalks | Managing (micro-)pollutants contamination in integrated urban wastewater systems: risk assessment and mitigation strategies
DESCRIPTION:Il prossimo appuntamento con la serie di incontri PhDTalks si terrà Martedì 20 febbraio nell’aula Fassò (Edificio 4A)\, dalle 17:15 alle 18:30 CET. \nPhDTalks è una serie di seminari e discussioni tra dottorandi. Gli eventi hanno lo scopo di fornire un luogo dove creare un network tra dottorandi ed entrare in contatto con i molti progetti sviluppati nel nostro dipartimento. \nLo speaker Jessica Ianes condurrà un seminario dal titolo “Managing (micro-)pollutants contamination in integrated urban wastewater systems: risk assessment and mitigation strategies”.  \nAl termine dell’evento sarà disponibile un piccolo rinfresco finanziato dal dipartimento. \nSarà possibile seguire la conferenza anche online al seguente link. \nAbstract \nOver the past few decades\, rapid growth of population\, economy\, and urbanization\, have posed significant challenges for the environment\, such as the deterioration of surface water and groundwater quality. Concurrently\, diverse user demands have determined the competition for clean water resources\, exacerbated by severe droughts caused by climate change. \nIn highly urbanized areas\, water can be used for different purposes\, discharging very different types of (micro-)pollutants into the sewer system or directly to surface water. In fact\, these systems are often combined and when rain events hit the city\, they can reach their capacity\, discharging untreated wastewater and stormwater directly into water bodies\, causing pollutants overload. Moreover\, wastewater treatment plants (WWTP) are currently designed to remove only conventional pollutants\, spreading micropollutants in the environment also in dry-weather. In this way\, different type of contaminants can reach surface water and move across different water sources and compartments. They can accumulate in groundwater and surface water\, where they can also be transferred due to crop irrigation. The complexity in contamination sources\, pathways\, and receptors make urban water management intricate. Correct and well-planned water management is crucial to avoid conflicts among different stakeholders and to limit the risk for the environment and human health. \nTo address these issues\, the present project aims at developing a comprehensive framework for assessing and managing (micro-)pollutants risks in urban water\, modeling their fate and transport across various water sources and compartments\, while also exploring suitable treatment technologies for wet-weather discharges and WWTP effluent. \nSpeaker’s bio \nJessica is a PhD student in Environmental and Infrastructure Engineering (37th cycle) at Politecnico di Milano. She has a Master of Science in Environmental and Land Planning Engineering obtained in 2021 at Politecnico di Milano. \nJessica works in the safeWATER research group and her research activity focuses on modelling fate and transport of micropollutants in urban water\, assessing the environmental risk and evaluating proper mitigation strategies. \nIn her free time she loves enjoying nature\, playing the piano\, and travelling.
URL:https://www.dica.polimi.it/it/evento/phdtalks-managing-micro-pollutants-contamination-in-integrated-urban-wastewater-systems-risk-assessment-and-mitigation-strategies/
CATEGORIES:PHD Life,Seminari e conferenze
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DTSTART;TZID=Europe/Rome:20240222T110000
DTEND;TZID=Europe/Rome:20240222T140000
DTSTAMP:20260508T063748
CREATED:20240207T143105Z
LAST-MODIFIED:20240207T143105Z
UID:31585-1708599600-1708610400@www.dica.polimi.it
SUMMARY:Advancements in Bayesian Neural Networks to Enhance Predictive Modeling for Civil Engineering Applications
DESCRIPTION:Giovedì 22 febbraio alle ore 11.00 presso l’Aula Fassò (Edificio 4A – p.za Leonardo da Vinci\, 32 – Milano) si terrà un seminario dal titolo: “Advancements in Bayesian Neural Networks to Enhance Predictive Modeling for Civil Engineering Applications“\, tenuto dalla Prof.ssa Audrey Olivier (Sonny Astani Department of Civil and Environmental Engineering\, University of Southern California). \nAbstract \nThe conjuncton of data mining and physics-based modeling holds great potential to help design\, monitor and optimize civil infrastructure systems. Machine learning (ML) tools can be used for a variety of civil engineering applications\, from monitoring the health of structures using sensing data to building efficient surrogates to accelerate mechanistic modeling. The use of ML models for scientific and engineering applications presents unique challenges. Engineering datasets are often noisy\, sparse and imbalanced\, due to the inherent randomness of the underlying physical processes and constraints on data collection. ML predictors must also assimilate physics-based knowledge and intuitions to improve accuracy and generalization away from training data. Finally\, ML models must embed robust prediction of uncertainties to improve trustworthiness for high-consequence decision-making. Framing ML training within a Bayesian inference framework allows for a robust quantification of both aleatory and epistemic uncertainties that arise from data inadequacies\, integration of physics intuitions through prior design\, and assessment of the model’s confidence in its predictions. However\, due to the high-dimensionality and non-physicality of parameters that characterize typical ML models such as neural networks\, application of Bayesian methods in this context raises several challenges\, from prior and likelihood design to posterior inference. In this talk I will present some of the methods we have developed for approximate Bayesian learning of neural networks that integrate meaningful physics-driven priors. I will illustrate the benefits of these methods through a variety of example applications in civil engineering\, from surrogate training to accelerate materials and structural modeling\, contingency analysis in power grid systems\, or ambulance travel time prediction in a dense urban network to help optimize emergency medical services. \nShort Bio \nDr. Olivier holds a Diplôme d’Ingénieur from École Centrale de Nantes\, France\, and a Ph.D. in Civil Engineering and Engineering Mechanics from Columbia University\, USA. She held a postdoctoral appointment at Johns Hopkins University before joining the Sonny Astani Department of Civil and Environmental Engineering at the University of Southern California as an Assistant Professor in Fall 2021. Dr. Olivier’s research aims to predict and monitor civil infrastructure systems behavior under uncertainty\, by combining innovations in probabilistic data analytics and mechanistic modeling. Applications span various scales\, from systems to structures to materials\, and include development of adaptive Bayesian filters for identification of dynamical structural systems\, probabilistic surrogate models to accelerate multi-scale materials simulations or Bayesian graph neural networks for contingency analysis of power grids.\nAdditional information available at: https://www.audreyolivier.com/; https://viterbi.usc.edu/directory/faculty/Olivier/Audrey .
URL:https://www.dica.polimi.it/it/evento/advancements-in-bayesian-neural-networks-to-enhance-predictive-modeling-for-civil-engineering-applications/
CATEGORIES:Seminari e conferenze
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DTSTART;TZID=Europe/Rome:20240227T171500
DTEND;TZID=Europe/Rome:20240227T183000
DTSTAMP:20260508T063748
CREATED:20240222T093815Z
LAST-MODIFIED:20240222T093815Z
UID:31587-1709054100-1709058600@www.dica.polimi.it
SUMMARY:PhDTalks | A Mixed-dimensional solver for the geoelectrical analysis of highly resistive liners in landfills
DESCRIPTION:Il prossimo appuntamento con la serie di incontri PhDTalks si terrà Martedì 27 febbraio nell’aula Fassò (Edificio 4A)\, dalle 17:15 alle 18:30 CET. \nPhDTalks è una serie di seminari e discussioni tra dottorandi. Gli eventi hanno lo scopo di fornire un luogo dove creare un network tra dottorandi ed entrare in contatto con i molteplici progetti sviluppati nel nostro dipartimento. \nLo speaker Lorenzo Panzeri condurrà un seminario dal titolo “A Mixed-dimensional solver for the geoelectrical analysis of highly resistive liners in landfills”.  \nAl termine dell’evento sarà disponibile un piccolo rinfresco finanziato dal dipartimento. \nSarà possibile seguire la conferenza anche online al seguente link. \nAbstract \nThe analysis of the condition of the liner beneath municipal waste landfills is of considerable importance to prevent the spread of pollutants into the underlying layers down to the groundwater zone. Being at depths of several tens of metres in an uncertain location\, it is crucial to find an effective method for its identification. \nDirect current (DC) methods\, in particular ERT (Electric Resistivity Tomography)\, exploit the conductive and resistive properties of the materials\, permitting the identification of both the location of the highly resistive HDPE (High density polyethylene) membrane and the possible diffusion area of the pollutant\, which\, due to its high salt content\, is highly conductive.  A new mixed-dimensional Finite volume numerical model is developing for solving the forward and inverse problems in DC resistivity surveys. \nSpeaker’s bio \nLorenzo is a PhD Candidate in Environmental and Infrastructure Engineering (37° cycle) at Politecnico di Milano with an interdisciplinary scholarship between the Department of Civil and Envirnomental Engineering and the Department of Mathematics. Lorenzo has a Master of Science in Civil Engineering For Risk Mitigation obtained in 2019. In his free time\, Lorenzo loves playing football and doing trail running.
URL:https://www.dica.polimi.it/it/evento/phdtalks-a-mixed-dimensional-solver-for-the-geoelectrical-analysis-of-highly-resistive-liners-in-landfills/
CATEGORIES:PHD Life,Seminari e conferenze
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