Monitoring shear deformation of sliding zone via fiber Bragg grating and particle image velocimetry DOI Creative Commons

Deyang Wang,

Hong‐Hu Zhu,

Guyu Zhou

et al.

Journal of Rock Mechanics and Geotechnical Engineering, Journal Year: 2023, Volume and Issue: 16(1), P. 231 - 241

Published: April 12, 2023

Monitoring shear deformation of sliding zones is great significance for understanding the landslide evolution mechanism, in which fiber optic strain sensing has shown potential. However, correlation between measurements quasi-distributed Bragg grating (FBG) arrays and displacements surrounding soil remains elusive. In this study, a direct model test was conducted to simulate zones, internal captured using FBG sensors surface measured by particle image velocimetry (PIV). The results show that there were two main slip surfaces secondary ones, developing spindle-shaped band soil. formation successfully sensors. A sinusoidal proposed describe cable behavior. On basis, widths calculated measurements. This work provides important insight into deduction soil-embedded

Language: Английский

Enhancing Geotechnical Monitoring and Asset Management through IoT-Enabled Sensor Integration DOI

A. Q. M. Zohuruzzaman,

Mahdi Zulfikar,

Mohammad Sadik Khan

et al.

Geotechnical Frontiers 2017, Journal Year: 2025, Volume and Issue: unknown, P. 147 - 154

Published: Feb. 27, 2025

Language: Английский

Citations

0

Microneedle-Based Sensor for Soil Quality Management DOI

Nurul Asmak Md Lazim,

Rini Asnida Abdullah

Series in bioengineering, Journal Year: 2025, Volume and Issue: unknown, P. 317 - 336

Published: Jan. 1, 2025

Language: Английский

Citations

0

A hybrid physical data informed DNN in axial displacement prediction of immersed tunnel joint DOI

Wei Qi Yan,

Yan Yu,

Ping Shen

et al.

Georisk Assessment and Management of Risk for Engineered Systems and Geohazards, Journal Year: 2023, Volume and Issue: 17(1), P. 169 - 180

Published: Jan. 2, 2023

Due to complex interactions between immersed tunnel and surrounding environment, it is difficult apply theoretical analysis for axial displacement (DIS) of immersion joints. To develop a generalised model DIS prediction, Deep Neural Network (DNN) could be considered. However, the spatial generalisation black-box DNN models not always convincible small data. In this study, we proposed novel hybrid physical data (HPD) informed with improved prediction DIS. The mechanism firstly analysed by correlation other monitoring HPD then created based on contributes as substituting feature rather than an additional feature. Three fed different groups features are compared, while HPD-DNN has outperformed others in terms both well accuracy. permutation importance reveals that effectively enhanced interpretation DNN, which supports results stated analysis. application further verified enhance only but also models, promising insufficient problems geotechnical engineering.

Language: Английский

Citations

9

An efficient physics-guided Bayesian framework for predicting ground settlement profile during excavations in clay DOI Creative Commons

Cong Tang,

Shu‐Yu He,

Wan‐Huan Zhou

et al.

Journal of Rock Mechanics and Geotechnical Engineering, Journal Year: 2024, Volume and Issue: 16(4), P. 1411 - 1424

Published: Jan. 9, 2024

Recently, the application of Bayesian updating to predict excavation-induced deformation has proven successful and improved prediction accuracy significantly. However, ground settlement profile, which is crucial for determining potential damage nearby infrastructures, received limited attention. To address this, this paper proposes a physics-guided simplified model combined with framework accurately profile. The advantage that it eliminates need complex finite element modeling makes user-friendly. Furthermore, physically interpretable, can provide valuable references construction adjustments. effectiveness proposed method demonstrated through two field case studies, showing yield satisfactory predictions

Language: Английский

Citations

3

Monitoring shear deformation of sliding zone via fiber Bragg grating and particle image velocimetry DOI Creative Commons

Deyang Wang,

Hong‐Hu Zhu,

Guyu Zhou

et al.

Journal of Rock Mechanics and Geotechnical Engineering, Journal Year: 2023, Volume and Issue: 16(1), P. 231 - 241

Published: April 12, 2023

Monitoring shear deformation of sliding zones is great significance for understanding the landslide evolution mechanism, in which fiber optic strain sensing has shown potential. However, correlation between measurements quasi-distributed Bragg grating (FBG) arrays and displacements surrounding soil remains elusive. In this study, a direct model test was conducted to simulate zones, internal captured using FBG sensors surface measured by particle image velocimetry (PIV). The results show that there were two main slip surfaces secondary ones, developing spindle-shaped band soil. formation successfully sensors. A sinusoidal proposed describe cable behavior. On basis, widths calculated measurements. This work provides important insight into deduction soil-embedded

Language: Английский

Citations

7