Since 1963
ARTICLE
Prediction and Mitigation of Instability in Ultra Long Drilling Shaft Lining Structures Using the Cusp Catastrophe Model
1
School of Civil Engineering and Architecture, Anhui University of Science and Technology, Huainan, China
These authors had equal contribution to this work
Submission date: 2024-02-03
Final revision date: 2024-05-13
Acceptance date: 2024-09-30
Online publication date: 2024-11-05
Corresponding author
Jimin Liu
School of Civil Engineering and Architecture, Anhui University of Science and Technology, Taifeng Street, Huainan 232001, China
School of Civil Engineering and Architecture, Anhui University of Science and Technology, Taifeng Street, Huainan 232001, China
KEYWORDS
TOPICS
ABSTRACT
This paper deals with the stability prediction of an ultralong drilling shaft lining structure and how to mitigate its structural instability. Based on catastrophic characteristics of the instability process, the catastrophe method and a cusp catastrophic model is applied in analyzing the instability optimization measure. The process and mechanism of catastrophe instability is analyzed, and its corresponding instability criterion is founded. A case study and numerical results show that this optimization measure can increase its critical depth by 45% and mitigate structural vertical instability, which provides a theoretical possibility for the stability control technology of ultra long shaft lining structures.
REFERENCES (23)
1.
Cheng H., Liu J.-M., Rong C.-X., Yao Z.-S., 2008, Variable cross section shaft drilling lining’s vertical stability in thick alluvium, Journal of China Coal Society, 33, 12, 1351-1357.
2.
Dorn E., Kaledin O., 2013, Modern and innovative shaft sinking and construction technology with examples from current projects/Moderne und innovative Schachtbautechnik am Beispiel aktueller Abteufprojekte, Geomechanics and Tunnelling, 6, 5, 574-581.
3.
Fang Y., Yao Z., Xu Y., Li X., Liu X., Huang X., 2023, Permeability evolution and pore characteristics of reactive powder concrete of drilling shaft with initial salt erosion damage, Construction and Building Materials, 403, 133141.
4.
Hara T., Yashima A., Sawada K., Kariya K., Tsuji H., Soga N., 2019, Small-diameter vertical shafts constructed in the shallow space of steep mountainous areas, Underground Space, 4, 3, 235-250.
5.
Hong B.-Q., 1980, Axial stability of deep shaft wall in mud by drilling method, Coal Science and Technology, 9, 22-25.
6.
Karman A., Pawlowski M., 2022, Circular economy competitiveness evaluation model based on the catastrophe progression method, Journal of Environmental Management, 303, 114223.
7.
Lei Y., Li P.-J., Liu Z.-Y., Li J.-Z., Hu W., 2022, Method for calculation of buckling critical load of pile foundation crossing karst cave in karst area, Rock and Soil Mechanics, 43, 3347-3356.
8.
Li Y., Tang N., Jiang X., 2016, Bayesian approaches for analyzing earthquake catastrophic risk, Insurance: Mathematics and Economics, 68, 110-119.
9.
Liu J., Cheng H., Rong C., Wang C., 2020, Analysis of cusp catastrophic model for vertical stability of drilling shaft lining, Advances in Civil Engineering, 2020, 1, 8891751.
10.
Liu J., Liu Y., Fu X., 2022, Mechanism analysis of catastrophic instability of drilling shaft lining based on Python language, Coal Science and Technology, 50, 9, 75-81.
11.
Liu Z., Meng Y., 2015, Key technologies of drilling process with raise boring method, Journal of Rock Mechanics and Geotechnical Engineering, 7, 4, 385-394.
12.
Merli M., Pavese A., 2018, Electron-density critical points analysis and catastrophe theory to forecast structure instability in periodic solids, Acta Crystallographica. Section A: Foundation and Advances, 74, 102-111.
13.
Niu X.-C., Hong B.-Q., Yang R.-S., 2006, Study on vertical structural stability of bored shafts filled part of water, Rock and Soil Mechanics, 27, 1897-1901.
14.
Niu J.M., Wu J.H., Liu X.L., Yuan M.Q., Wang L.B., 2023, Quantitative analysis of acoustic black hole property by the catastrophe theory, International Journal of Mechanical Sciences, 259, 108621.
15.
Ozbasaran H., 2018, Optimal design of I-section beam-columns with stress, non-linear deflection and stability constraints, Engineering Structure, 171, 385-394.
16.
Pacoste C., 1993, On the Application of Catastrophe Theory to Stability Analyses of Elastic Structures, Royal Institute of Technology, Stockholm.
17.
Saunders P.T., 1980, An Introduction to Catastrophe Theory, Cambridge University Press, Cambridge.
18.
Wang E., Zhang L., Chen H., Zhang X., 2023, Collinearity-oriented sensitivity analysis for patterning energy factor significance in buildings, Journal of Building Engineering, 73, 106685.
19.
Wegner T., Kurpisz D., 2017, An energy-based method in phenomenological description of mechanical properties of nonlinear materials under plane stress, Journal of Theoretical and Applied Mechanics, 55, 1, 129-139.
20.
Xing X., Ma B., Du J., Liu Y., Liu Z., Han X., 2023, An energy method for predicting and suppressing the instability of a three-dimensional thermoacoustic coupling system with a micro-perforated plate, Journal of Theoretical and Applied Mechanics, 61, 4, 755-768.
21.
Xu J., Ni Y., 2019, Prediction of grey-catastrophe destabilization time of a granite residual soil slope under rainfall, Bulletin of Engineering Geology and the Environment, 78, 5687-5693.
22.
Yang S., 2019, Influence analysis of buckling stability of super-long piles under different working conditions based on energy method, Master’s Thesis, China University of Geosciences, Wuhan, China.
23.
Zhao K.,Wu J., Yan Y., Yang J., Tian X., et al., 2023, The cusp catastrophe warning model for easily weathered granite considering energy accumulation and dissipation, Environmental Science and Pollution Research, 30, 45888-45898.
| eISSN: | 2543-6309 |
| ISSN: | 1429-2955 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
