Abstract

In the study of geotechnical hazards, such as soil liquefaction and landslides, the analysis of soil movements is always one of the major preoccupations. An efficient movement sensing technique requires the tracking of subsurface soil for the purpose of examining the mechanism involved. A magnetic tracking system is therefore proposed, with permanent magnets as trackers and magnetometers as receivers. When permanent magnets, deployed within the soil to serve as excitation sources, move with soil body during a geotechnical event, they generate static magnetic fields whose flux densities are related with the positions and orientations of the magnets. Magnetometers are used as receivers to detect the generated magnetic fields, which can be further used in calculating the magnets' locations and orientations based on appropriately developed algorithms. Comparison between situations where the trackers are exposed to air and embedded within soil was conducted to evaluate the influence of soil (wet and dry) on the tracking accuracy. Also, multi-objective tracking is realized by using the particle swarm optimization (PSO) technique combined with interior-point algorithm. The tracking errors are evaluated and applications of the proposed system in small-scale laboratory tests for geohazards are discussed.

Highlights

  • Magnetic sensor system is a type of positioning sensing technique with an obvious advantage of non-contact operation

  • This paper presents a magnetic tracking system having the potential to use two permanent magnets as trackers to detect subsoil displacements due to geohazards

  • Being able to capture the displacement field of soil using multi-objective tracking can lead to a better understanding of the mechanisms involved in a geohazard

Read more

Summary

11 IInnttrroodduuccttiioonn

EEccoonnoommiicc ccoosstt aanndd hhuummaann lloossss ffrroomm ggeeoohhaazzaarrddss,, ssuucchh aass lliiqquueeffaaccttiioonn aanndd llaannddsslliiddeess,, lleeaadd ttoo tthhee nneeeeddss ffoorr mmiittiiggaattiioonn mmeetthhooddss iinn oorrddeerr ttoo rreedduuccee tthhee rriisskkss ooff ssuucchh hhaazzaarrddss. SSttuuddyyiinngg tthhee mmoovveemmeenntt pprrooppeerrttiieess dduurriinngg ggeeoohhaazzaarrddss mmaayy hheellpp rreesseeaarrcchheerrss hhaavvee aa bbeettteerr uunnddeerrssttaannddiinngg ooff tthhee mmeecchhaanniissmm iinnvvoollvveedd iinn llaannddsslliiddeess aanndd ssooiill lliiqquueeffaaccttiioonn,, oorr aatt lleeaasstt,, bbee uusseedd iinn aa mmoonniittoorriinngg oorr aann eeaarrllyy wwaarrnniinngg ssyysstteemm. SSeeccoonnddllyy,, wwhhiillee DDIICC tteecchhnniiqquuee iiss nnoowwaaddaayyss uusseedd ssuucccceessssffuulllyy iinn aannaallyyssiiss ooff ppllaannaarr ((22DD)) ddeeffoorrmmaattiioonn,, iinn tthhee ssttuuddyy ooff lliiqquueeffaaccttiioonn oorr ootthheerr ggeeootteecchhnniiccaall pprroocceedduurreess,, ssppaattiiaall mmoovveemmeennttss wwiitthhiinn. A 2.5D deformation was captured, big concerns still exist since it was only possible to capture the movements of the soil at surface, while the behaviour of soil within the soil body was beyond recognition. In order to overcome the shortcomings described above, this paper aims to present a novel technique which is able to measure subsurface deformation of soil by deploying trackers underground, whose 3D positions and 2D orientations can be captured by a sensor array established outside a soil body. Multi-objective tracking is tested and errors are analysed

Background
Verification tests
Multi-objective tracking
Algorithm for multi-objective tracking
Test results
Concluding remarks
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call