Surface and Subsurface Investigations for the Detection and Mapping of Underground Karst Cav

Saddek, Bouhlassa; Fehdi, Chemseddine; Boubaya, Djamel; Bougherira, Nabil

doi:10.1007/s12594-019-1157-1

Cited by 8 publications

(2 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Line b is located inside the rock mass and is not visible; thus, it cannot be measured directly. In order to accurately estimate the thickness of the unstable surrounding rock, a coring survey method is adopted [27][28][29][30][31]. The same section is selected for the coring survey and laser ranging, but it is more difficult and time-consuming to acquire high-density coring survey points compared to performing laser ranging, and the detection accuracy is limited.…”

Section: Determination Of the Geometric Model Parameters Of Sdmmentioning

confidence: 99%

Establishment and Application of the Spatial Decomposition Method (SDM) for Tunnels Passing Through Large Karst Caves

et al. 2020

View full text Add to dashboard Cite

Karst tunnels commonly pass through large karst caves during their construction and operation. Although treatment technologies are relatively mature, a systematic treatment method to guide the selection of treatment technologies is lacking. To solve this problem, a spatial decomposition method (SDM) of large karst caves is proposed that is based on analyzing the spatial relationship between tunnels and karst caves and summarizing the relevant treatment techniques. In this method, the space between the tunnel and the cavern is divided into eight parts using a space dividing line (SDL), which makes the spatial position relationship between the tunnel and cavern more intuitive. A geometric model of the SDM is established, and the numerical values of each geometric parameter are determined by field surveys and drawings. Constructing a three-dimensional spatial diagram by applying relevant parameters to the geometric model provides a reference for selecting a treatment technology. The SDM of the arch top, arch bottom, and two wings matching the treatment technology is proposed. Seven principles of technical selection—namely, safety, convenience, scientificity, sustainability, economy, feasibility, and openness—are mentioned in order to overcome the difficulty of technology selection due to such factors as technological diversity, materials, equipment, and environment. Finally, the SDM is used to solve the problem of the Shangyuan tunnel passing through a large karst cave. The implementation of the SDM in tunnel construction would represent a significant breakthrough and has important engineering value in solving the problem of tunnel passes through large karst caves.

show abstract

Section: Determination Of the Geometric Model Parameters Of Sdmmentioning

confidence: 99%

Establishment and Application of the Spatial Decomposition Method (SDM) for Tunnels Passing Through Large Karst Caves

et al. 2020

View full text Add to dashboard Cite

show abstract

“…The gravity method in geophysics, a traditional, passive, non-invasive, and costefficient method, measuring the variation in the Earth's gravitational field caused by the difference of rock mass properties at a certain position, has been applied in a large spectrum of projects such as ore/mineral exploration (Hinze, 2013;Chen et al, 2015;Li et al, 2019; Essa and Abo-Ezz, 2021) [1][2][3][4] , archaeology investigation (Branston and Styles, 2006;Batayneh et al, 2010; Sarlak and Aghajani, 2017) [5][6][7] , radioactive waste management (An et al, 2013) [8] , weapons and unexploded ordnances detection (Abedi et al, 2014) [9] , Hydrocarbon/reservoir (oil and gas) recognition (Yuan et al, 2018; Saghafi and Yarveicy, 2019; Cho et al, 2020) [10][11][12] , geothermal energy and volcanic activity study (Altwegg et al, 2015; Uwiduhaye et al, 2018; Essa and Diab, 2022) [13][14][15] , underground cavities or tunnels identification (Pazzi et [16][17][18] , geotechnical and engineering application (Debeglia and Dupont, 2002;Arisona et al, 2018) [19,20] , groundwater monitoring (Frappart and Ramillien, 2018; Delobbe et al, 2018) [21,22] , landfills mapping (Silva et al, 2009;Dumont et al, 2017) [23,24] , subsurface structures imaging...…”

Section: Introductionmentioning

confidence: 99%

A Novel Metaheuristic Strategy for the Elucidation of Gravity Anomalies with Application to Geothermal Energy Investigations and Volcanic Activity Studies: Hunger Games Search (HGS)

Su,

Ai,

Qin

et al. 2023

Preprint

View full text Add to dashboard Cite

Recent metaheuristic approaches are extensively and intensively being introduced to the interpretation of gravity anomalies due to their superior advantages. We emphasize the application of Hunger Games Search (HGS), a novel metaheuristic inspired by hunger-driven instincts and behavioral choices of animals, to elucidate gravity data for geothermal energy exploration and volcanic activity study. After analyzing the modal features of the predetermined objective function and tuning the algorithm control parameters involved, HGS has been trial-tested on simulated data sets of different scenarios and finally experienced in two field cases from India and Japan. Notably, a second moving average (SMA) strategy has been successfully integrated into the objective function to eradicate the regional component from observed responses. Post-inversion uncertainty tests have been also implemented to understand the reliability of solutions achieved. The solutions obtained by HGS have been compared in terms of convergence rate, accuracy, stability, and robustness with the solutions of the commonly utilized Particle Swarm Optimization (PSO) algorithm. Based on the results accessed, the theoretical and field cases presented could be recuperated more precisely, more stably, more robustly and more coherently with the available geophysical, geological, and borehole verification, as HGS is able to explore the model space more comprehensively without compromising its capability to approach the global minimum efficiently. This novel metaheuristic thus can be considered as a promising tool in geothermal energy investigations and the study of volcanic activities and further recommended to reconnaissance studies aimed at effectively recognizing subsurface structures from various geophysical anomalies.

show abstract

Karst-Induced Sinkhole Detection Using a Tomography Imaging Survey, Case of Setifian High Plain, NE Algeria

et al. 2023

View full text Add to dashboard Cite

Surface and Subsurface Investigations for the Detection and Mapping of Underground Karst Cav

Cited by 8 publications

References 17 publications

Establishment and Application of the Spatial Decomposition Method (SDM) for Tunnels Passing Through Large Karst Caves

Establishment and Application of the Spatial Decomposition Method (SDM) for Tunnels Passing Through Large Karst Caves

A Novel Metaheuristic Strategy for the Elucidation of Gravity Anomalies with Application to Geothermal Energy Investigations and Volcanic Activity Studies: Hunger Games Search (HGS)

Karst-Induced Sinkhole Detection Using a Tomography Imaging Survey, Case of Setifian High Plain, NE Algeria

Contact Info

Product

Resources

About