Programme Tuesday 10 July 2018

10-13 July 2018 Hilton Manchester Deansgate, Manchester, UK 

Monday 9 July 2018
 Registration – Hotel Foyer
 Welcome drink

Tuesday 10 July 2018
 Registration – Hotel Foyer
 Opening Ceremony – Title to be confirmed
 Chair: Professor C Soutis and Dr M Gresil
 Room A: Deansgate Suites 2 & 3

 Keynote Lecture – Title to be confirmed
 Professor Fu Kuo Chang, Stanford University
 Chair: To be confirmed
 Room A: Deansgate Suites 2 & 3

 Keynote Lecture – Title to be confirmed
 Speaker to be confirmed
 Chair: To be confirmed
 Room A: Deansgate Suites 2 & 3

 Tea, Coffee and Exhibition

Aerospace structures 1

Chair: TBC
Room A: Deansgate Suites 2 & 3
Guided waves 1

Chair: TBC
Room B: Deansgate Suite 1
Structured Session:

Chair: TBC
Room C: Deansgate Meeting Rooms 2, 3 & 4


Chair: TBC
Room D: Deansgate Meeting Rooms 8 & 9
Bridge monitoring 1

Chair: TBC
Room E: Deansgate Boardroom
Wireless SHM system 1

Chair: TBC
Room F: Deansgate Meeting Room 1
[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,

[0073] Low-cost and high-performance wireless sensor nodes for structural health monitoring applications

N Navabian and S Beskhyroun
AUT University, New Zealand


[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,

[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

[0324] Magnetic flux leakage and pattern recognition-based automated steel cable NDE

J-W Kim, J Park, B Yoo and S Park
Sungkyunkwan University, South Korea

[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
2SITES SAS, Malmaison, France
3IGN, LOEMI, Saint-Mandé, France
4IGN, ENSG, Marne la Vallée, France
5IFSTTAR, GEOLOC, Bouguenais, France
6SITES SAS, Dardilly, France
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


[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

[0060] SHM of ferromagnetic DUT using magnetomechanical effects

M Zokowski, M Witos, J Spychala and P Majewski
Air Force Institute of Technology, Warsaw, Poland

[0260] The design verification through construction monitoring: the River Irwell bridge, Ordsall Chord

D Smith1, R Foster2 and B Commander1
2Mott MacDonald, UK

[0351] Shaping the future of structural health monitoring with IOT sensors

D Parsy and M-Y Jaouadi
Beanair GmbH, Berlin, Germany


[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

[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
[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

Y-B Lin1, K-C Chang2 and X-Q Liu1
1National Center for Research on
Earthquake Engineering, Taiwan
2National Taiwan University, Taiwan

This slot is available for a late


Lunch – Three-course lunch with wine

Aerospace structures 2

Chair: TBC
Room A: Deansgate Suites 2 & 3

Guided waves 2

Chair: TBC
Room B: Deansgate Suite 1

Structured Session:

Chair: TBC
Room C: Deansgate Meeting Rooms 2, 3 & 4

Machine learning and pattern recognition 1

Chair: TBC
Room D: Deansgate Meeting Rooms 8 & 9

Bridge monitoring 2

Chair: TBC
Room E: Deansgate Boardroom

SHM for railroads

Chair: TBC
Room F: Deansgate Meeting Room 1


[0079] Optical fibre sensor-based aircraft structural health monitoring

K Saito1, T Itoh1, N Hirano1, T Wakayama1, N Takeda2, N Sawai2 and S Minakuchi3
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,

[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

[0131] Structural health monitoring of train coupling system

X H Jin1, D Zhang2, Y He1, K Liu2, Y Zeng1 and G Yan1
1CRRC Zhuzhou Locomotive Co, China
2Broadsens Corporation, USA


[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

[0108] Updating the reliability of different structures with Bayesian networks

E Debiasi1,2, C Cappello1, D Trapani2
and D Zonta1,2,3,4
1University of Trento, Italy
2Intelligent Infrastructure Innovation,
Trento, Italy
3University of Strathclyde, UK
4Institute for Photonics and
Nanotechnologies, Trento, Italy

[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 Limited, Nottingham, UK
3Amey plc, UK

[0231] Longitudinal strain monitoring
in rails using distributed and discrete

C Barker1, N A Hoult1 and M Zhang2
1Queen’s University, Kingston, Canada
2National Research Council of Canada,
Ottawa, Canada


[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

[0266] Compressive sensing for
vibration signals in high-speed rail

Y-Q Ni and S-X Chen
The Hong Kong Polytechnic University,
Hong Kong


[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

[0193] Novel rail stress measurement technique using piezospectroscopy

N Kim, H-B Yun and J-J Lee
Sejong University, Republic of Korea


[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,
2Airbus Operations GmbH, Bremen,

[0226] A Bayesian network approach to
assess underwater scour around bridge

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,

[0107] Recurrent neural networks for identification of acoustic wave

M Haile, C Hsu, N Bradley and J Chen
US Army Research Laboratory,
Maryland, USA

[0350] Vibration-based damage detection in a cable-stayed bridge

Z Momeni, A Sabamehr, A Bagchi and M Nikbakht
Concordia University, Montréal, Canada

[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


[0225] Virtual product lifecycle management utilising SHM technologies

B Eckstein1, M Bach2, M Moix-Bonet3, A Weisser1 and C Bockenheimer1
1Airbus Operations GmbH, Germany
2Airbus Helicopters GmbH, Germany
3German Aerospace Center, Germany

[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

T J Rogers1, K Worden1, R Fuentes1, N Dervilis1, U T Tygesen2 and E J Cross1
1Sheffield University, UK
2Ramboll Oil & Gas, Esbjerg, Denmark
[0385] Vibration studies of a
super large-scale multi-tower
suspension bridge using in-service
monitoring data

Huaping Ding
Nanjing University, China

This slot is available for a late submission

Tea, Coffee and Exhibition

Aerospace structures 3

Chair: TBC
Room A: Deansgate Suites 2 & 3

Guided waves 3

Chair: TBC
Room B: Deansgate Suite 1

Structured Session:

Chair: TBC
Room C: Deansgate Meeting Rooms 2, 3 & 4

SHM applications

Chair: TBC
Room D: Deansgate Meeting Rooms 8 & 9

Structured Session:
Vibration-based damage assessment for civil engineering structures

Chair: TBC
Room E: Deansgate Boardroom

Structured Session:
Strain-based SHM

Chair: TBC
Room F: Deansgate Meeting Room 1


[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

J Moll1, A A Eremin2,3 and M V Golub2
1Goethe University of Frankfurt am Main,
2Kuban State University, Krasnodar, Russia
3Helmut-Schmidt-University, Hamburg,

[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

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


[0156] Health and usage monitoring of INTA MALE UAV

M Frovel1, A Fernandez2, 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

D Anastasopoulos, G De Roeck
and E P B Reynders
Department of Civil Engineering, University
of Leuven (KU Leuven), Belgium


[0309] Feature extraction for aerospace
compressor blade repair and overhaul
using a high-speed data acquisition

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,
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


[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

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


This slot is available for a late submission
[0246] Selective guided wave
generation in a two-dimensional

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
[0230] A random vibration multiple model-based structural health monitoring platform for nominally identical composite aerostructures

R Atlani1, S D Fassois2, A Georgantopoulou2, M Kazilas3, I Kressel1, M Kwak3, T London3,
A G Poulimenos4, I Sáez de Ocáriz5,
J S Sakellariou2, A Sawday1, K J Vamvoudakis-Stefanou2, P Venegas5 and A Ward3
1Advanced Structural Technologies, Israel
2University of Patras, Greece
3TWI Ltd, Cambridge, UK
4Advances in Science and Engineering EE,
Chios, Greece
5Centro de Tecnologías Aeronáuticas (CTA), Alava, Spain

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


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: