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Pregled bibliografske jedinice broj: 1106006

Assessment of long-term deformation of a tunnel in soft rock by utilizing particle swarm optimized neural network


Kovačević, Meho Saša; Bačić, Mario; Gavin, Kenneth; Stipanović, Irina
Assessment of long-term deformation of a tunnel in soft rock by utilizing particle swarm optimized neural network // Tunnelling and underground space technology, 110 (2021), 103838, 15 doi:10.1016/j.tust.2021.103838 (međunarodna recenzija, članak, znanstveni)


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Naslov
Assessment of long-term deformation of a tunnel in soft rock by utilizing particle swarm optimized neural network

Autori
Kovačević, Meho Saša ; Bačić, Mario ; Gavin, Kenneth ; Stipanović, Irina

Izvornik
Tunnelling and underground space technology (0886-7798) 110 (2021); 103838, 15

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Soft rock tunneling ; Long-term deformation ; Rheological parameters ; Neural network ; Particle swarm optimization ; Tunnel monitoring

Sažetak
The continuous monitoring of long-term performance of tunnels constructed in soft rock masses shows that the rock mass deformations continue after construction, albeit at a rate that reduces with time. This is in contrast with NATM postulates which assume deformation stabilizes shortly after tunnel construction. This paper proposes the prediction of long-term vertical settlement performance of a tunnel in soft rock mass, through the inclusion of a Burger’s creep viscous-plastic constitutive law to model post-construction deformations. To overcome issues related to the complex characterization of this constitutive model, a neural network NetRHEO is developed and trained on a numerically obtained dataset. A particle swarm algorithm is then employed to estimate the most probable rheological parameter set, by utilizing the long-term in-situ monitoring data from several observation points on a real tunnel. The paper demonstrates the potential of the proposed methodology, using displacement measurements of two adjacent tunnels in karstic rock mass in Croatia. The complex interaction of a railway tunnel Brajdica and a road tunnel Pećine, conditioned by the character of the surrounding rock mass as well by the chronology of their construction, was evaluated to predict the future behavior of these tunnels.

Izvorni jezik
Engleski

Znanstvena područja
Građevinarstvo



POVEZANOST RADA


Ustanove:
Građevinski fakultet, Zagreb

Citiraj ovu publikaciju

Kovačević, Meho Saša; Bačić, Mario; Gavin, Kenneth; Stipanović, Irina
Assessment of long-term deformation of a tunnel in soft rock by utilizing particle swarm optimized neural network // Tunnelling and underground space technology, 110 (2021), 103838, 15 doi:10.1016/j.tust.2021.103838 (međunarodna recenzija, članak, znanstveni)
Kovačević, M., Bačić, M., Gavin, K. & Stipanović, I. (2021) Assessment of long-term deformation of a tunnel in soft rock by utilizing particle swarm optimized neural network. Tunnelling and underground space technology, 110, 103838, 15 doi:10.1016/j.tust.2021.103838.
@article{article, year = {2021}, pages = {15}, DOI = {10.1016/j.tust.2021.103838}, chapter = {103838}, keywords = {Soft rock tunneling, Long-term deformation, Rheological parameters, Neural network, Particle swarm optimization, Tunnel monitoring}, journal = {Tunnelling and underground space technology}, doi = {10.1016/j.tust.2021.103838}, volume = {110}, issn = {0886-7798}, title = {Assessment of long-term deformation of a tunnel in soft rock by utilizing particle swarm optimized neural network}, keyword = {Soft rock tunneling, Long-term deformation, Rheological parameters, Neural network, Particle swarm optimization, Tunnel monitoring}, chapternumber = {103838} }
@article{article, year = {2021}, pages = {15}, DOI = {10.1016/j.tust.2021.103838}, chapter = {103838}, keywords = {Soft rock tunneling, Long-term deformation, Rheological parameters, Neural network, Particle swarm optimization, Tunnel monitoring}, journal = {Tunnelling and underground space technology}, doi = {10.1016/j.tust.2021.103838}, volume = {110}, issn = {0886-7798}, title = {Assessment of long-term deformation of a tunnel in soft rock by utilizing particle swarm optimized neural network}, keyword = {Soft rock tunneling, Long-term deformation, Rheological parameters, Neural network, Particle swarm optimization, Tunnel monitoring}, chapternumber = {103838} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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