Programme Tuesday 10 July 2018
10-13 July 2018 Hilton Manchester Deansgate, Manchester, UK
To download a general overview of the programme, click here.
Monday 9 July 2018
| 16.00- 19.00 | Registration – Hotel Foyer | |||||
| 18.00- 19.00 | Welcome Drink Reception – Cloud 23 Sky Bar: 23rd floor | |||||
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| Tuesday 10 July 2018 | | | | |||
| 08.30 onwards | Registration – Hotel Foyer | |||||
| 09.00- 09.30 | Opening Ceremony – Title to be confirmed Chair: Professor C Soutis and Dr M Gresil Room A: Deansgate Suites 2 & 3 | |||||
| 09.30- 10.30 | Keynote Lecture – SHM for IIOT Professor F K Chang, Stanford University Room A: Deansgate Suites 2 & 3 | |||||
| 10.30- 11.00 | Tea, Coffee and Exhibition | |||||
| | Aerospace structures 1 Chairs: Oscar D'almeida and Benjamin Eckstein Room A: Deansgate Suites 2 & 3 | Guided waves 1 Chairs: Paul Fromme and Maria Moix-Bonnet Room B: Deansgate Suite 1 | Structured Session: Probabilistic SHM 1 Chairs: Branko Glisic and Daniele Zonta Room C: Deansgate Meeting Rooms 2, 3 & 4 | Electromagnetic SHM Chairs: Gareth Pierce and Frederic Cegla Room D: Deansgate Meeting Rooms 8 & 9 | Bridge monitoring 1 Chairs: Luis Eduardo Mujica Delgado and Vincent Lecam Room E: Deansgate Boardroom | Wireless SHM system 1 Chairs: Michael Hinderdael and Byeongjin Park Room F: Deansgate Meeting Room 1 |
| 11.00- 11.20 | [0021] Design of a UGW SHM sensor system for L-39NG aircraft T Marczi and P Raso Honeywell International, Prague, Czech Republic | [0165] Efficient modelling of guided ultrasonic waves using the scaled boundary FEM towards SHM of composite pressure vessels Y Lugovtsova1, J Bulling1, J Prager1 and C Boller2 1Bundesanstalt für Materialforschung und -prüfung (BAM), Berlin, Germany 2Saarland University, Germany | [0008] An improved dynamic probability mixture model for damage monitoring under varying structural boundary conditions F Fang, L Qiu, S Yuan and Y Wang Nanjing University of Aeronautics and Astronautics, China | [0013] Coded sequences for simultaneous acquisition of data from multiple EMAT coils F B Cegla Imperial College London, UK | [0130] Structural health monitoring network in British Columbia, Canada Y Kaya1, A Mendler2 and C Ventura2 1British Columbia Ministry of Transportation and Infrastructure, Canada 2University of British Columbia, Vancouver, Canada | Paper withdrawn |
| 11.20- 11.40 | [0027] Full-scale testing of an ultrasonic guided wave-based structural health monitoring system for thermoplastic composite aircraft primary structure P Ochôa, R M Groves and R Benedictus Faculty of Aerospace Engineering, Delft University of Technology, The Netherlands | [0011] Predictive simulation of guided wave structural health monitoring in metallic and composite structures V Giurgiutiu University of South Carolina, Columbia, USA | [0016] Surrogate modelling for observation likelihood calculation in a particle filter framework for automated diagnosis and prognosis C Sbarufatti, F Cadini, A Locatelli and M Giglio Politecnico di Milano, Italy | [0182] A novel damage detection technique utilising embedded sensing of magnetostrictive carbon fibre-reinforced polymer composites A Hall1, M l Coatney1, N Bradley1, J H Yoo2, B Williams3 and O Myers3 1US Army Research Laboratory, Maryland, USA 2US Naval Surface Warfare Center (NSWC), USA 3Clemson University, USA | [0086] Structural health monitoring using a GPS sensor network N Manzini1,2, A Orcesi1, C Thom3, A Clément6, S Botton4, M Ortiz5 and J Dumoulin7 1IFSTTAR, SDOA, France 2SITES SAS, Malmaison, France 3IGN, LOEMI, Saint-Mandé, France 4IGN, ENSG, Marne la Vallée, France 5IFSTTAR, GEOLOC, Bouguenais, France 6SITES SAS, Dardilly, France 7CEREMA, SO/DLB/GS/SIS, Bordeaux, France | [0145] Wireless noise characteristic on gearboxes due to speed variation P Raharjo, Y Sofyan and T M Arif State Polytechnics of Bandung, West Java, Indonesia |
| 11.40- 12.00 | [0034] Aircraft engine possession cost reduction with structural health monitoring J Coupard, A Garnier and J Lacaille Safran Aircraft Engines, France | [0188] Numerical analysis of Lamb wave propagation in a periodically stiffened CFRP plate for impact damage detection P Deng, O Saito and Y Okabe University of Tokyo, Japan | [0029] Adaptation and implementation of probability of detection (POD)-based fault diagnosis in elastic structures through vibration-based SHM approach D A Ameyaw, S Rothe and D Söffker University of Duisburg-Essen, Germany | [0056] Evaluation of the long-term stability of guided wave EMAT transducers for SHM applications B Herdovics and F B Cegla Imperial College London, UK | [0152] Development of MEMS-based sensors for bridge scour monitoring Y-B Lin1, K-C Chang2 and X-Q Liu1 1National Center for Research on Earthquake Engineering, Taiwan 2National Taiwan University, Taiwan | [0351] Shaping the future of structural health monitoring with IOT sensors D Parsy and M-Y Jaouadi Beanair GmbH, Berlin, Germany |
| 12.00- 12.20 | [0045] Application of piezoelectric transducers and resistance strain gauges for SHM of a metallic integral stiffened airframe panel R Růžek1, T Marczi2 and P Kucharský1 1VZLÚ – Czech Aerospace Research Centre, Prague, Czech Republic 2Honeywell International, Prague, Czech Republic | [0051] A novel high-density piezoelectric sensing capability for in-situ modal decomposition of acoustic emissions N Rajic1, C Rosalie1, S Van der Velden1, L R Francis Rose1, J Smithard1 and W K Chiu2 1Aerospace Division, Defence Science and Technology Group, Melbourne, Australia 2Monash University, Clayton, Australia | [0091] System identification method using extended Kalman filter with optimised P0, Q and R D-Y Yun1, H-B Shim2 and H-S Park1 1University Seoul, Korea 2Research & Development Institute, Seoul, Republic of Korea | This slot is available for a late submission | This slot is available for a late submission | This slot is available for a late submission |
| 12.25- 13.45 | Lunch – Three-course lunch with wine | |||||
| Aerospace structures 2 Chairs: Nobuo Takeda and Kathryn Atherton Room A: Deansgate Suites 2 & 3 | Guided waves 2 Chairs: Victor Giurgiutiu and Francis Rose Room B: Deansgate Suite 1 | Structured Session: Probabilistic SHM 2 Chairs: Branko Glisic and Daniele Zonta Room C: Deansgate Meeting Rooms 2, 3 & 4 | Machine learning and pattern recognition 1 Chairs: Elizabeth Cross and Emanuel Ramasso Room D: Deansgate Meeting Rooms 8 & 9 | Bridge monitoring 2 Chairs: Hoon Sohn and Shenfang Yuan Room E: Deansgate Boardroom | SHM for railroads Chairs: Claus-Peter Fritzen and Angel Torres-Perez Room F: Deansgate Meeting Room 1 | |
| 13.50- 14.10 | [0079] Optical fibre sensor-based aircraft structural health monitoring system K Saito 1Aerospace Company, Gifu, Japan 2R&D Institute of Metals and Composites for Future Industries, Tokyo, Japan 3Graduate School of Frontier Sciences, Chiba, Japan | [0233] Experimental estimation of the dispersion characteristics of Lamb waves J Kathol and C-P Fritzen Universität Siegen, Fakultät IV, Siegen, Germany | [0094] The consequences of heuristic distortions on SHM-based decision problems A Verzobio1, D Bolognani2, J Quigley1 and D Zonta1,2 1University of Strathclyde, UK 2University of Trento, Italy | [0071] Damage detection in composite aero-structures from strain and telemetry data fusion by means of pattern recognition techniques J Sierra-Perez and J Alvarez-Montoya Universidad Pontificia, Colombia | [0167] Effects of vehicle-induced bridge vibration on nearby structures B-H Lee1, F-Y Yeh1, Y-C Sung2 and K-C Chang3 1National Center for Research on Earthquake Engineering, Taiwan 2Department of Civil Engineering, National Taipei University of Technology, Taiwan 3Department of Civil Engineering, National Taiwan University, Taiwan | [0231] Longitudinal strain monitoring in rails using distributed and discrete sensors C Barker1, N A Hoult1 and M Zhang2 1Queen’s University, Kingston, Canada 2National Research Council of Canada, Ottawa, Canada |
| 14.10- 14.30 | [0114] Landing gear structural health monitoring (SHM) C Forrest, C Forrest and D Wiser ES3 Inc, USA | [0166] Shaped sensor for material agnostic Lamb waves direction of arrival (DoA) estimation L De Marchi, M Dibiase, N Testoni and A Marzani University of Bologna, Italy | This slot is available for a late submission | [0088] Convolutional neural networks for the detection of damaged fasteners in engineering structures T J Gibbons1, S G Pierce2, K Worden1 and I Antoniadou1 1University of Sheffield, UK 2University of Strathclyde, UK | [0354] Structural health monitoring of long-span bridges: separation of wind, temperature and traffic effects on the Forth Road Bridge D Tung Nguyen1, X Meng1, J S Owen1, Y Xie1, P Psimoulis1, G Ye2, B Valentine3 and P Madden3 1University of Nottingham, UK 2UbiPOS UK Ltd, Nottingham, UK 3Amey plc, UK | [0266] Compressive sensing for vibration signals in high-speed rail monitoring Y-Q Ni and S-X Chen The Hong Kong Polytechnic University, Hong Kong |
| 14.30- 14.50 | [0122] Damage index for an RPA structure by a fibre optic-based SHM system A Güemes1, A Fernandez-Lopez1, M Frovel2, J M Pintado2, J Garcia-Ramirez1, E Reyes1 and P L Pariente2 1Universidad Politécnica de Madrid (UPM), Madrid, Spain 2INTA, Spanish National Institute for Aerospace Research, Madrid, Spain | [0048] Analytical solutions for active and passive monitoring of structural damage in fibre-composite laminates L R Francis Rose1, W K Chiu2, N Nadarajah2 and B S Vien2 1Aerospace Division, Defence Science and Technology Group, Melbourne, Australia 2Monash University, Clayton, Australia | [0142] A probability density function for uncertainty quantification in the failure forecast method M D Todd1, M Leung2 and J Corcoran2 1University of California, San Diego, USA 2Imperial College London, UK | [0093] Outlier ensembles: an alternative robust method for inclusive outlier analysis with structural health monitoring data L Bull, K Worden, G Manson and N Dervilis University of Sheffield, UK | [0292] Structural evaluation of the rehabilitation of a stayed bridge using an SHM system FJ Carrión1, J A Quintana1, S E Crespo2, J A Hernández1, H M Gasca1 and L A Martinez1 1Instituto Mexicano del Transporte, Escobedo, Mexico 2ITESM-CQ, Mexico | [0193] Novel rail stress measurement technique using piezospectroscopy N Kim, H-B Yun and J-J Lee Sejong University, Republic of Korea |
| 14.50- 15.10 | [0146] Recent development of optical fibre sensor-based structural health monitoring and in-process monitoring of CFRP structures in Japan N Takeda and S Minakuchi The University of Tokyo, Japan | [0041] Corrosion monitoring using high-frequency guided waves P Fromme University College London, UK | [0218] Bayesian operational modal analysis of offshore rock lighthouses for SHM J M W Brownjohn1, S-K Au2, X Wang2, Z Zhu2, A Raby3 and A Antonini3 1University of Exeter, UK 2University of Liverpool, UK 3University of Plymouth, UK | [0104] Application of machine learning techniques for the fatigue life estimation of critical components A M Moura1, P J Antunes1, J C Viana1, G R Dias1, B Serrano2, D Duarte2, J Cardoso2, R Basto2, F Machado2, V Infante3 and C Mills4 1Critical Materials SA, Portugal 2CIDIUM, CIAFA, Academia da Força Aérea, Pero, Pinheiro, Portugal 3IDMEC, Universidade de Lisboa, Portugal 4Curtiss-Wright, Dublin, Republic of Ireland | [0313] A deep learning-based framework for bridge load rating estimation A Pamuncak, I Laory and A Jesus University of Warwick, UK | [0342] Compressive sensing for high-speed rail condition monitoring using redundant dictionary and joint reconstruction S X Chen and Y Q Ni The Hong Kong Polytechnic University |
| 15.10- 15.30 | [0288] Optimal location of a fibre optic-based sensing net for SHM applications using a digital twin I Kressel1, U Ben-Simon1, S Shoham1, G Don-Yehiya1, S Sheinkman2, R Davidi3 and M Tur3 1Israel Aerospace Industries, Israel 2IAF, Israel 3Tel-Aviv University, Israel | [0237] Temperature compensation for damage detection in composite structures using guided waves M Moix-Bonet1, B Eckstein2 and P Wierach1 1German Aerospace Centre, Braunschweig, Germany 2Airbus Operations GmbH, Bremen, Germany | [0226] A Bayesian network approach to assess underwater scour around bridge foundations A Maroni1, E Tubaldi1, J Douglas1, N Ferguson1, D Zonta1, H McDonald2, E Greenoak3, D Walker2 and C Green3 1University of Strathclyde, UK 2Transport Scotland, Glasgow, UK 3Network Rail Scotland Route, Glasgow, UK | [0107] Recurrent neural networks for identification of acoustic wave reflections M Haile, C Hsu, N Bradley and J Chen US Army Research Laboratory, Maryland, USA | This slot is available for a late submission | This slot is available for a late submission |
| 15.30- 15.50 | Paper withdrawn | [0248] Experimental validation of simulation tools for Lamb wave-based structural health monitoring O Mesnil, A Imperiale, E Demaldent, B Chapuis and T Druet CEA LIST, Saclay, France | [0096] Subspace projections to localise damage: a comparative model error robustness study D V Muff and M D Ulriksen Aalborg University, Esbjerg, Denmark | [0135] A semi-supervised Bayesian non-parametric approach to damage detection T J Rogers1, K Worden1, R Fuentes1, N Dervilis1, U T Tygesen2 and E J Cross1 1Sheffield University, UK 2Ramboll Oil & Gas, Esbjerg, Denmark | This slot is available for a late submission | This slot is available for a late submission |
| 15.50- 16.10 | Tea, Coffee and Exhibition | |||||
| Aerospace structures 3 Chairs: Christian Boller and Antonio Fernandez-Lopez Room A: Deansgate Suites 2 & 3 | Guided waves 3 Chairs: Wiesław Ostachowicz and Francis Rose Room B: Deansgate Suite 1 | Structured Session: Probabilistic SHM 3 Chairs: Michael Todd and Daniele Zonta Room C: Deansgate Meeting Rooms 2, 3 & 4 | SHM applications Chairs: Alfredo Guemes and Matthieu Gresil Room D: Deansgate Meeting Rooms 8 & 9 | Structured Session: Vibration-based damage assessment for civil engineering structures Chairs: Zhongqing Su and Constantinos Soutis Room E: Deansgate Boardroom | Structured Session: Strain-based SHM Chairs: Branko Glisic and Marcus Perry Room F: Deansgate Meeting Room 1 | |
| 16.10- 16.30 | [0243] Overview of the F-35 structural prognostics and health management system I G Hebden1, A M Crowley2 and W Black3 1BAE Systems, UK 2BAE Systems, USA 3Lockheed Martin, USA | [0264] The influence of global and local temperature variation on elastic guided wave excitation, propagation and scattering J Moll1, A A Eremin2,3 and M V Golub2 1Goethe University of Frankfurt am Main, Germany 2Kuban State University, Krasnodar, Russia 3Helmut-Schmidt-University, Hamburg, Germany | [0136] A probabilistic framework for forward model-driven SHM P Gardner, C Lord and R J Barthorpe University of Sheffield, UK | [0035] Rate-based structural health monitoring using permanently installed sensors J Corcoran, M Leung and P Cawley Imperial College London, UK | [0084] The effect of environmental and operational variabilities on damage detection in wind turbine blades T Bull1, M D Ulriksen1 and D Tcherniak2 1Aalborg University, Denmark 2Brüel & Kjær Sound & Vibration Measurement, Denmark | [0158] Evaluation of error of deformed shape determined from strain measurements and double integration of curvature D Sigurdardottir1 and B Glisic2 1Ramboll, Stockholm, Sweden 2Princeton University, Jersey, USA |
| 16.30- 16.50 | [0156] Health and usage monitoring of INTA MALE UAV M Frovel1, A Fernandez-Lopez2, M E Reyes2, J García2, J M Pintado1, M de la Torre1, P L Pariente1 and F Terroba1 1INTA, Spanish National Institute for Aerospace Research, Madrid, Spain 2ETSIAE, Aerospace School of Madrid Polytechnic University, Spain | [0316] Guided wave-based defect imaging in composite plates under temperature-varying environment B Chapuis1, A Kulakovskyi1,2, X Artusi1, O Mesnil1 and O D’Almeida2 1CEA LIST, Saclay, France 2Safran Tech, Magny-Lès-Hameaux, France | [0126] Structural system identification using sum of squares (SOS) optimisation for minimising modal dynamic residuals D Li, X Dong and Y Wang Georgia Institute of Technology, Atlanta, USA | [0140] Proposal for an industrial structural health monitoring system based on ultrasound signal G Aranguren1, J Etxaniz1, S Cantero2,3, M K Malik2,3, F M de la Escalera3 and Y Essa3 1Universidad del País Vasco (UPV/EHU), Bilbao, Spain 2The University of Nottingham, UK 3Aernnova Engineering Division, Madrid, Spain | [0190] Modal strain-based damage identification of two pre-stressed concrete beams under different prestressing conditions D Anastasopoulos, G De Roeck and E P B Reynders Department of Civil Engineering, University of Leuven (KU Leuven), Belgium | [0348] Empirical mode decomposition for operational modal analysis of structures M S Rahman Vibration Engineer, Canada |
| 16.50- 17.10 | [0309] Feature extraction for aerospace compressor blade repair and overhaul using a high-speed data acquisition system R French, W Yeadon, H Marin-Reyes and M Benakis University of Sheffield, UK | [0318] A simplex guided wave communication system using oil industry multi-wire cables G Trane1, R Mijarez2, R Guevara2 and A Pérez1 1Tecnologico de Monterrey, Morelos, México 2Instituto de Investigaciones Eléctricas, Gerencia de Control, Morelos, México | [0303] Modular Bayesian damage detection for civil structures: a proof of concept case study A Jesus1, P Brommer1, R Westgate2, K Koo2, J M W Brownjohn2 and I Laory1 1University of Warwick, UK 2University of Exeter, UK | [0261] Enterprise risk-informed technology transfer for SHM technology M D Smith US Army Corps of Engineers, Mississippi, USA | [0252] Sub-soil stress reconstruction for fatigue monitoring of offshore wind turbine using accelerometers on the tower M Henkel, N Noppe, W Weijtjens and C Devriendt Vrije Universiteit, Brussels, Belgium | [0276] Mechanochromic response of 3D composite photonic crystals by numerical simulation V Piccolo1, A Vaccari2, A Chiappini3, C Armellini3, L Deseri1,4,5, M Ferrari3 and D Zonta6,3 1DICAM–University of Trento, Italy 2Fondazione Bruno Kessler, Trento, Italy 3IFN-CNR CSMFO, Trento, Italy 4University of Pittsburgh, USA 5Mellon University, Pittsburgh, USA 6University of Strathclyde, UK |
| 17.10- 17.30 | [0279] In-flight load determination in critical structure elements based on an operational load monitoring system A Kurnyta, W Zieliński, P Reymer, M Dziendzikowski and K Dragan Air Force Institute of Technology, Warszawa, Poland | [0345] Damage detection methodology for structural health monitoring (SHM) applications based on multi-frequency anti-symmetric guided waves S Pant1, M Martinez2,3, M Yanishevsky1 and D Backman1 1National Research Council Canada, Ontario, Canada 2Clarkson University, Potsdam, USA 3Delft University of Technology, The Netherlands | [0341] Preliminary validation of deterministic and probabilistic risk assessment of fatigue failures using experimental results R Torregosa and W Hu Aerospace Division, Defence Science and Technology Group, Victoria, Australia | [0347] iPerm: a permanent guided wave pipeline monitoring tool for the oil & gas industry A Dhutti1, B Hernandez2, J Kanfoud1, P Mudge2 and T-H Gan1,2 1Brunel University London, UK 2TWI Ltd, Cambridge, UK | [0284] Vibration-based damage identification for the S101 bridge benchmark bridge: a comparison of indicators P F Giordano1, A Fathi2 and M P Limongelli1 1Politecnico di Milano, Italy 2Amirkabir University of Technology, Tehran, Iran | [0338] 3D printed smart repairs for civil infrastructure C Vlachakis, L Biondi and M Perry University of Strathclyde, UK |
| 17.30- 17.50 | [0366] Mechanics-based predictive NDE of composites and structures: towards next generation NDE/SHM Y Dzenis and R Vernon McBroom University of Nebraska-Lincoln | [0246] Selective guided wave generation in a two-dimensional waveguide V Serey1,2, N Quaegebeur1, P Micheau1, P Masson1, M Castaings2 and M Renier2 1GAUS, Université de Sherbrooke, QC, Canada 2I2M, Université de Bordeaux, Talence, France | This slot is available for a late submission | [0358] A study on guided wave tomographic imaging for defects on a curved structure J Park, Y Cho and D Kang Pusan National University, Korea | This slot is available for a late submission | [0254] Formulation of 3D temperature signatures for temperature-driven structural health monitoring J Reilly and B Glisic Princeton University, USA |
| 18.00- 22.00 | Welcome buffet – Museum of Science & Industry (MOSI) Buffet and wine | |||||
For further information, contact:
Conferences and Events Department, The British Institute of Non-Destructive Testing,
Midsummer House, Riverside Way, Bedford Road, Northampton NN1 5NX, UK.
Tel: +44 (0)1604 438300; Fax: +44 (0)1604 438301; Email: ewshm2018@bindt.org
