Open Access

Research on Coupling Model of Foundation Treatment and Geological Hazard Risk Assessment


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Liu, Y., & Zhang, J. (2022). An iot-based intelligent geological disaster application using open-source software framework. Scientific programming (Pt.5), 2022. Search in Google Scholar

Zhang, Y., Zhang, F., Zhang, J., Guo, E., Liu, X., & Tong, Z. (2017). Research on the geological disaster forecast and early warning model based on the optimal combination weighing law and extension method: a case study in china. Polish Journal of Environmental Studies, 26(5), 2385–2395. Search in Google Scholar

Pirrie, D., Pidduck, A. J., Crean, D. E., Nicholls, T. M., & Awbery, R. P. (2019). Identification and analysis of man-made geological product particles to aid forensic investigation of provenance in the built environment. Forensic science international (305-), 305. Search in Google Scholar

Shadlou, M. S., Ranjbar, M., & Salari, M. (2023). A logic-based benders decomposition algorithm for a repair crew routing and drone scheduling problem after a natural disaster. Computers & Industrial Engineering, 183. Search in Google Scholar

Tan, H., Hao, Y., Yang, J., & Tang, C. (2024). Meta-analyses of motivational factors of response to natural disaster. Journal of Environmental Management, 351. Search in Google Scholar

Kim, J. M., Bae, J., Son, S., Son, K., & Yum, S. G. (2021). Development of model to predict natural disaster-induced financial losses for construction projects using deep learning techniques. Sustainability, 13(9), 5304. Search in Google Scholar

Michellier, C., Pigeon, P., André Paillet, Théodore Trefon, & Kervyn, F. (2020). The challenging place of natural hazards in disaster risk reduction conceptual models: insights from central africa and the european alps. International Journal of Disaster Risk Science, 11(1). Search in Google Scholar

Patil, G., Choudhury, D., & Mondal, A. (2021). Three-dimensional soil-foundation-superstructure interaction analysis of nuclear building supported by combined piled-raft system. International journal of geomechanics (4), 21. Search in Google Scholar

Worku, A., & Lulseged, A. (2023). Lateral static response of piles based on a full-fledged two-parameter foundation model. International journal of geomechanics. Search in Google Scholar

Worku, A., & Seid, T. (2020). Application of a robust subgrade model in the analysis of plates on an elastic foundation. International journal of geomechanics (10), 20. Search in Google Scholar

Zheng, G., Wang, R., Cheng, X., Wang, F., Zhang, T., & Lei, Y. (2023). Borehole group effect during pile foundation construction in soft soil areas. International Journal of Geomechanics. Search in Google Scholar

He, F., Liu, C., & Liu, H. (2021). Integration and fusion of geologic hazard data under deep learning and big data analysis technology. Complexity. Search in Google Scholar

Pujadas, E., Vogtlander, J., & Moonen, F. (2021). Environmental and economic optimization of a conventional concrete building foundation: selecting the best of 28 alternatives by applying the pareto front. Search in Google Scholar

Vaibhav, M., Manojit, S., Kumar, D. R., Omowumi, F. P., & Kanungo, D. P. (2023). Subsurface explorations and investigation of foundation performance for distress assessment of a building. Journal of Performance of Constructed Facilities. Search in Google Scholar

Semenova, N. P., Malyshev, A. V., Timoveev, A. M., Bolshev, K. N., & Stepanov, A. A. (2023). Mathematical model of the temperature control at the base of a building with a slab foundation on a compacted seasonally thawing layer. Soil mechanics and foundation engineering (4), 60. Search in Google Scholar

Stirling, M. W., Oskin, M. E., Arrowsmith, J. R., Rood, A. H., & Wittich, C. E. (2020). Evaluation of seismic hazard models with fragile geologic features. Seismological Research Letters, 92(1). Search in Google Scholar

Iida, M. (2021). Interpretation of japanese wood building damage based on soil–foundation connection modeling. International Journal of Geomechanics, 21(1), 04020236. Search in Google Scholar

Nicola Angelo Famiglietti, Pietro Miele, Marco Defilippi, Alessio Cantone, Paolo Riccardi, Giulia Tessari & Annamaria Vicari. (2024). Landslide Mapping in Calitri (Southern Italy) Using New Multi-Temporal InSAR Algorithms Based on Permanent and Distributed Scatterers. Remote Sensing (9), Search in Google Scholar

Xynthia Kavelaars, Joris Mulder & Maurits Kaptein. (2024). Bayesian Multivariate Logistic Regression for Superiority and Inferiority Decision-Making under Observable Treatment Heterogeneity. Multivariate behavioral research 21–24. Search in Google Scholar

Sugianti Khori & Tohari Adrin. (2023). The Impact of Geological and Rainfall Characteristics on Slope Stability Analysis in Shallow Landslide Modelling using the TRIGRS Model. Rudarsko - Geolosko - Naftni Zbornik (4), 147–166. Search in Google Scholar

eISSN:
2444-8656
Language:
English
Publication timeframe:
Volume Open
Journal Subjects:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics