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Development of a Decision Support System for increasing the Resilience of Transportation Infrastructure based on combined use of terrestrial and airborne sensors and advanced modelling tools

Deliverables

D4.1Advanced and Reliable Models for Natural and Man-Made Hazards

Second version of Advanced and Reliable Models for Natural and Man-Made Hazards

D8.5.3 Annual Magazine issued 3

Third issue of Annual magazine

D3.1. Report on available climate data and scenario selection

Report on the selection of regional scale climate data and scenarios that will be used for dynamical downscaling. Outcome from Task 3.1

D4.4.1 PANOPTIS resilience framework-V1

This report will include the definition of the PANOPTIS resilience framework and proposed resilience hardening approaches - Version 1. Outcome of Task 4.5

D1.4.1: Societal impact report. V1

A report will be delivered to the EC in two versions including all the societal, gender and ethical issues of the project. V1

D8.5.2 Annual Magazine issued 2

Second Annual magazine

D2.4: Geographic data and services inventory

Report on the availability and specifications of geographical and other data services related to CC and geo-hazards. Outcome of Task 2.4

D.5.6 Dynamic link to hazard and resilience assessment

A methodology will be provided to feed the damage and degradation assessments results into the hazard and resilience assessment of WP4, to ensure a dynamic analysis. Outcome of Task 5.6.

D8.3.2 Dissemination and Communication Plan V2

Iterative versions of the DCP, as initially described in Section 2.2 of this document - Outcome of Task 8.2 V2

D8.3.1 Dissemination and Communication Plan V1

Iterative versions of the DCP, as initially described in Section 2.2 of this document - Outcome of Task 8.2

D3.3.2 Report on the dynamical downscaling of climate and atmospheric impacts - V2

Report on the dynamical downscaling of climate and atmospheric impacts

D8.5.1 Annual Magazine issued 1

Including a four pages’ brochure in A4 format) to be distributed electronically. Magazines will be released on annual basis. Outcome of Task 8.4

D5.1. Conceptual framework for remote sensing based RI monitoring

A detailed concept of how the 4 types of remote sensing, including a variety of sensors, can be used optimally for routine monitoring of TI, as well as post-event response and damage mapping. Outcome of Task 5.1.

D2.2: Definition of the System Requirements, Use Cases and KPIs specification

Report containing the detailed specification of PANOPTIS platform functional and non-functional requirements, as well as use cases and KPIs that will be used for validation. Outcome of Task 2.2

D3.3.1 Report on the dynamical downscaling of climate and atmospheric impacts V1

Report on modelling activities aiming to a very-high resolution mapping of climatic and atmospheric impacts. Outcome of Task 3.3 - V1

D5.3. Methodology for routine RI monitoring with multi-type remote sensing

The methodology will address all identified types of RI degradation. Outcome of Task 5.3.

D9.1 PANOPTIS Exploitation Strategy and Business Plan V2

PANOPTIS Exploitation Strategy and Business Plan, V1

D2.5: Report on the RI assets definition and interdependencies

Report including the definition of the studied RI elements that are affecting the transportation service provision. Outcome of Task 2.5

D1.3.0 Initial Data Management Plan

Initial Data Management Plan

D6.3 Business Continuity Models and Adaptation Strategies assessment report

This report will include the assessments of all identified adaptation strategies using HRAP Outcome of Task 6.2

D1.3.1: Data Management Plan (First period)

All archiving strategies to be followed within the project for the information provided by the data owners during the project and the management of the transport content collected. First period.

D.8.7.1 Report on Standards and Liaison Activities with relevant organisations-V1

It will be the direct and main outcome of Task 8.6. Version 1.

D2.1. End-user needs and practices report

Report containing the analysis of current practices, needs and expectations from infrastructure stakeholders. Outcome of Task 2.1

D8.1 Corporate identity and general templates for dissemination material

Provision of the logo and the templates to be used for general dissemination/communication purposes. Outcome of Task 8.1

D3.2 High-resolution surface parameter maps

This deliverable mostly involves the data for the thematic layers of land use and surface parameters for the pilot areas, delivered in a GIS format. Outcome from Task 3.2

D8.4 Information Packs for referenced and networked communication amplifiers

The package xill be annually updated: Will include relevant communications resources including content for Communications Partners websites and social media channels- Outcome of Task 8.4

D5.4 Novel methodologies for damage detection and assessment along the road corridor and a surrounding disaster affected area, using multi-source remote sensing data

The new methods to be developed will focus on novel computer vision and ML methods, including the combined analysis of data from satellites and vehicle-/airborne sensors. Outcome of Task 5.4.

D4.3.1 Multi-Hazard Vulnerability Modules for RI and related non-RI elements - V1

First version of Software and documentation report for the vulnerability assessment of non-RI (by M12) and RI (by M24) elements. Outcome of Task 4.3

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Publications

Multi-label deep learning models for continuous monitoring of road infrastructures

Author(s): Eftychios Protopapadakis, Iason Katsamenis, Anastasios Doulamis
Published in: Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2020, Page(s) 1-7
DOI: 10.1145/3389189.3397997

AUMENTO DE LA RESILIENCIA DE LAS CARRETERAS MEDIANTE EL USO COMBINADO DE TECNOLOGÍA MULTISENSOR Y MODELOS CLIMÁTICOS

Author(s): SEVILLA DE LA LLAVE, Irene; Chrobocinski, Philippe; BAMPAS, Fotios; SCHMIDT, Franziska; KERLE, Norman; KOSTARIDIS, Antonis; Doulamis, Anastasios; RUSSOTTO, Remy
Published in: https://hal.archives-ouvertes.fr/hal-02957520, Issue 1, 2020

Combined Convolutional Neural Networks and Fuzzy Spectral Clustering for Real Time Crack Detection in Tunnels

Author(s): Anastasios Doulamis, Nikolaos Doulamis, Eftychios Protopapadakis, Athanasios Voulodimos
Published in: 2018 25th IEEE International Conference on Image Processing (ICIP), 2018, Page(s) 4153-4157
DOI: 10.1109/icip.2018.8451758

Downtime Assessment of base-isolated liquid storage tanks

Author(s): Konstantinos BAKALIS, Dimitrios VAMVATSIKOS, Damian N. GRANT & Amar MISTRY
Published in: Proceedings of the SECED 2019 Conference, 2019

Mixed probabilistic seismic demand models for fragility assessment

Author(s): Chatzidaki A., Vamvatsikos D.
Published in: Proceedings of the SECED 2019 Conference, 2019

Decision support for road infrastructure resilience: the PANOPTIS perpective

Author(s): Dimitrios VAMVATSIKOS
Published in: Proceedings of the SECED 2019 Conference, 2019

Prescriptive Approaches in Performance-Based Design? A Case- Study on Base Isolation

Author(s): Athanasia K. Kazantzi, Dimitrios Vamvatsikos
Published in: ICASP13, 2019

Issues in Harmonization of Seismic Performance via Risk Targeted Spectra

Author(s): Spillatura A., Vamvatsikos D., Bazzurro P., Kohrangi M.
Published in: ICASP13, 2019

Improving Resilience of Transport Instrastructure to Climate Change and other natural and Manmande events based on the combined use of Terrestrial and Airbone Sensors and Advanced Modelling Tools

Author(s): Irène Sevilla, Philippe Chrobocinski, Fotios Barmpas, Franziska Schmidt, Norman Kerle, Antonis Kostaridis, Anastasios Doulamis, Rémy Russotto
Published in: 2018

Atmospheric forcing modelling on critical road infrastructures within the frame of the EU PANOPTIS project, Proceedings of the 37th International Technical Meeting on Air Pollution Modelling and its Application (ITM2019), Hamburg, Germany, 23-27 September

Author(s): Barmpas F., Tsegas G., Hellsten A., Auvinen M., Moussiopoulos N., Karpinnen A., and Chrobocinski P. (2019),
Published in: 2019

Post-Disaster Building Damage Detection from Earth Observation Imagery Using Unsupervised and Transferable Anomaly Detecting Generative Adversarial Networks

Author(s): Sofia Tilon, Francesco Nex, Norman Kerle, George Vosselman
Published in: Remote Sensing, Issue 12/24, 2020, Page(s) 4193, ISSN 2072-4292
DOI: 10.3390/rs12244193

Practical performance-based design of friction pendulum bearings for a seismically isolated steel top story spanning two RC towers

Author(s): A. K. Kazantzi, D. Vamvatsikos
Published in: Bulletin of Earthquake Engineering, Issue 19/2, 2021, Page(s) 1231-1248, ISSN 1570-761X
DOI: 10.1007/s10518-020-01011-x

A Seismic Design Procedure for Different Performance Objectives for Post-Tensioned Walls

Author(s): Enrique Hernández-Montes, Akrivi Chatzidaki, Luisa María Gil-Martin, Mark Aschheim, Dimitrios Vamvatsikos
Published in: Journal of Earthquake Engineering, 2019, Page(s) 1-18, ISSN 1363-2469
DOI: 10.1080/13632469.2019.1691678

Current Challenges and Future Trends in Analytical Fragility and Vulnerability Modeling

Author(s): Vitor Silva, Sinan Akkar, Jack Baker, Paolo Bazzurro, José Miguel Castro, Helen Crowley, Matjaz Dolsek, Carmine Galasso, Sergio Lagomarsino, Ricardo Monteiro, Daniele Perrone, Kyriazis Pitilakis, Dimitrios Vamvatsikos
Published in: Earthquake Spectra, Issue 35/4, 2019, Page(s) 1927-1952, ISSN 8755-2930
DOI: 10.1193/042418eqs101o

UAV-Based Structural Damage Mapping: A Review

Author(s): Norman Kerle, Francesco Nex, Markus Gerke, Diogo Duarte, Anand Vetrivel
Published in: ISPRS International Journal of Geo-Information, Issue 9/1, 2020, Page(s) 14, ISSN 2220-9964
DOI: 10.3390/ijgi9010014

INFRASTRUCTURE DEGRADATION AND POST-DISASTER DAMAGE DETECTION USING ANOMALY DETECTING GENERATIVE ADVERSARIAL NETWORKS

Author(s): S. M. Tilon, F. Nex, D. Duarte, N. Kerle, G. Vosselman
Published in: ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 2020, ISSN 0924-2716
DOI: 10.5194/isprs-annals-v-2-2020-573-2020