IABSE Awards 2019


The International Association for Bridge and Structural Engineering (IABSE) is pleased to announce the Laureates of the IABSE Awards 2019. The President of IABSE, Fernando Branco, will present the awards on the occasion of the IABSE’s Congress in New York City, which will be held during the ‘Opening Ceremony’ on September 4, 2019.

THE OUTSTANDING PAPER AWARD: SCIENTIFIC PAPER AND TECHNICAL REPORT
The Outstanding Paper Award (OPA) is remitted each year to the author(s) of a paper published in the preceding year’s issues of the IABSE Journal Structural Engineering International (SEI), encouraging and rewarding contributions of the highest quality. Starting with the 2011 Outstanding Paper Award, it is presented in the categories ‘Technical Report’ and ‘Scientific Paper’. The Outstanding Paper Award Selection Committee was chaired by Prof. Dr. Andreas Lampropoulos.

For ‘Scientific Paper’ category the OPA 2019 is presented to: SEI, Nr.3, August 2018, Shear Performance Mechanism Description Using Digital Image Correlation.

Alfred Strauss, Assoc. Prof., Dipl.-Ing., Dr.rer.nat techn.; Pablo Castillo, Dipl.-Ing.; Konrad Bergmeister, O.Univ.Prof., Dipl.-Ing., MSc., Ph.D., Dr.phil., Dr.techn.; Bernhard Krug, BM DI (FH), Dipl.-Ing., Dr.; Roman Wan-Wendner, Priv.-Doz., Dipl.-Ing., Dr; Marco Marcon, Dipl. Ing., Department of Natural Hazards and Civil Engineering, University of Natural Resources and Life Sciences, Vienna, Austria.; Jose Matos, Ass. Prof., Dr, Department of Civil Engineering, University of Minho, Guimaraes, Portugal; Joan Ramon Casas, Prof., Dr, MSc, PhD, Department of Civil Engineering, Technical University of Catalonia, Barcelona, Spain. DOI: 10.1080/10168664.2018.1458585

Summary: In engineering, quality control in systems development ensures that products and services meet expectations. There is an increasing need to develop strategies to ensure asset quality and reduce the risk of unexpected costs. Ensuring the desired service quality with minimum interruptions requires maintenance actions when the risk of service impairment, interruption or losses in life-cycle costs reach predefined levels, which are based on performance indicators. This paper analyses a digital image correlation (DIC) system and its ability to assess performance indicators such as crack patterns, crack openings and vertical and horizontal deformation. The obtained values are then compared to goals so that structural performance assessment strategies can be implemented in an efficient and sustainable way. In particular, the system is used to obtain valuable information about the shear transfer mechanisms of reinforced concrete beams. This contribution focuses on prestressed precast beams loaded in shear following a sequence of loading and unloading cycles before the load is ultimately increased until failure. The obtained results include a load dependent photogrammetric documentation of crack patterns, a continuous quantification of crack openings and an accurate measurement of vertical and horizontal deformation. These findings are basic elements for the enhancement and assessment of existing analytical formulations. Keywords: concrete structural members; combined shear and bending mechanism; digital image correlation; crack pattern and crack width development; performance indicators.

For ‘Technical Report’ category the OPA 2019 is presented to: SEI, Nr. 3, August 2018, Innovative Long-Term Monitoring of the Great Belt Bridge Expansion Joint Using Digital Image Correlation.

Jan Winkler, Dr, Professional Head of Geomatics, ATKINS SNC-Lavalin—Transportation, Copenhagen, Denmark; Martin Duus Havelykke, Maintenance Manager, Sund & Bælt Holding A/S—Structures and Landworks, Copenhagen, Denmark. DOI: 10.1080/10168664.2018.1461539 Summary: Making informed decisions on timely intervention for effective bridge maintenance activities relies on good quality, accurate, reliable data. Although the proper functioning of expansion joints is critical to bridge performance, long-term monitoring of their condition is challenging due to the cost of sensors and data processing. Digital image correlation (DIC) is a non-contact photogrammetry technique that can image a bridge component periodically and compute strain and deformation from images previously recorded. This paper describes a one-month-long monitoring campaign wherein a DIC system was used as a cost-effective tool for gathering data on the movement and rotation of one of the Great Belt Bridge’s expansion joints. The monitoring provided previously unavailable data, helped improve understanding of the behaviour of the joint and informed the next steps for the maintenance strategy. The results show good agreement between the DIC data and measured temperature data. A mathematical model was established which relates the air temperature to expansion joint deformation, enabling the real-time evaluation of monitoring data and the cost-efficient identification of problems in the functioning of expansion joints. This is one of the first applications of a DIC technique to the long-term monitoring of a suspension bridge.

Keywords: Suspension bridge; expansion joint; monitoring; digital image correlation; performance assessment; asset management; probabilistic modelling

International Association for Bridge and Structural Engineering (IABSE) 
The mission of IABSE is to exchange knowledge and to advance the practice of structural engineering worldwide in the service of the profession and society. To fulfil its mission, IABSE organises conferences and publishes a high quality journal, Structural Engineering International (SEI); publishes books reflecting the work of its Technical Groups; creates Task Groups, as required by new needs and technological progress; offers activities within National Groups of IABSE; supports Young Engineers with a programme, and presents annual Awards in recognition of outstanding achievements in structural engineering.


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For more information, please contact: 
Brindarica Bose
Publications and Communications Manager
IABSE c/o ETH Zurich
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bose@iabse.org
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