An improved interval limit equilibrium method based on particle swarm optimisation: taking Dahua landslide as a case

References

• Alefeld, G., & Mayer, G. (2000). Interval analysis: Theory and applications. Journal of Computational and Applied Mathematics, 121(1–2), 421–464. https://doi.org/10.1016/S0377-0427(00)00342-3
   Web of Science ®Google Scholar
• Aziz, N. A. A., Ibrahim, Z., Mubin, M., Nawawi, S. W., & Mohamad, M. S. (2018). Improving particle swarm optimization via adaptive switching asynchronous - synchronous update. Applied Soft Computing, 72, 298–311. https://doi.org/10.1016/j.asoc.2018.07.047
   Web of Science ®Google Scholar
• Bear, J., & Cheng, A. H. D. (2010). Modeling groundwater flow and contaminant transport. Springer. https://doi.org/10.1007/978-1-4020-6682-5
   Google Scholar
• Donald, I. B., & Giam, P. S. K. (1992). The ACADS slope stability programs review [Paper presentation]. 6th International Symposium on Landslides (vol. 3, pp. 1665–1670).
   Google Scholar
• Guzzetti, F., Carrara, A., Cardinali, M., & Reichenbach, P. (1999). Landslide hazard evaluation: A review of current techniques and their application in a multi-scale study, Central Italy. Geomorphology, 31(1–4), 181–216. https://doi.org/10.1016/S0169-555X(99)00078-1
   Web of Science ®Google Scholar
• Janani, R., & Vijayarani, D. S. (2019). Text document clustering using spectral clustering algorithm with particle swarm optimization. Expert Systems with Applications, 134, 192–200. https://doi.org/10.1016/j.eswa.2019.05.030
   Web of Science ®Google Scholar
• Li, Y., & Xu, Y. L. (2018). Increasing accuracy in the interval analysis by the improved format of interval extension based on the first order Taylor series. Mechanical Systems and Signal Processing, 104, 744–757. https://doi.org/10.1016/j.ymssp.2017.11.037
   Web of Science ®Google Scholar
• Liu, S. J., Xu, W. Y., & Wang, H. C. (2004). Interval back analysis on uncertain parameters in rock mechanics. Chinese Journal of Rock Mechanics and Engineering, 23(6), 885–888. https://doi.org/10.3321/j.issn:1000-6915.2004.06.001(In Chinese)
   Google Scholar
• Meng, Q. X., Wang, H. L., Xu, W. Y., & Cai, M. (2018). A numerical homogenization study of the elastic property of a soil-rock mixture using random mesostructure generation. Computers and Geotechnics, 98(6), 48–57. https://doi.org/10.1016/j.compgeo.2018.01.015
   Google Scholar
• Mokhtari, A., Ling, Q., & Ribeiro, A. (2017). Network newton distributed optimization methods. IEEE Transactions on Signal Processing, 65(1), 146–161. https://doi.org/10.1109/TSP.2016.2617829
   Web of Science ®Google Scholar
• Möller, B., & Beer, M. (2008). Engineering computation under uncertainty – Capabilities of non-traditional models. Computers & Structures, 86(10), 1024–1041. https://doi.org/10.1016/j.compstruc.2007.05.041
   Web of Science ®Google Scholar
• Napoli, M. L., Barbero, M., Ravera, E., & Scavia, C. (2018). A stochastic approach to slope stability analysis in bimrocks. International Journal of Rock Mechanics and Mining Sciences, 101, 41–49. https://doi.org/10.1016/j.ijrmms.2017.11.009
   Web of Science ®Google Scholar
• Petrović, M. J. (2015). An accelerated double step size model in unconstrained optimization. Applied Mathematics and Computation, 250, 309–319. https://doi.org/10.1016/j.amc.2014.10.104
   Web of Science ®Google Scholar
• Qiu, Z. P., & Wang, P. B. (2018). Parameter vertex method and its parallel solution for evaluating the dynamic response bounds of structures with interval parameters. Science China (Physics, Mechanics & Astronomy), 61(6), 064612. https://doi.org/10.1007/s11433-017-9164-6
   Web of Science ®Google Scholar
• Saade, A., Abou-Jaoude, G., & Wartman, J. (2016). Regional-scale co-seismic landslide assessment using limit equilibrium analysis. Engineering Geology, 204, 53–64. https://doi.org/10.1016/j.enggeo.2016.02.004
   Web of Science ®Google Scholar
• Talaei, R., & Samadov, S. (2018). Quantitative landslide risk analysis in the Hashtchin area (NW-Iran). European Journal of Environmental and Civil Engineering, 22(7), 883–909. https://doi.org/10.1080/19648189.2016.1229224
   Web of Science ®Google Scholar
• Wang, S. X., Wang, K., Wu, L., & Wang, C. S. (2019). Polar affine arithmetic: Optimal affine approximation and operation development for computation in polar form under uncertainty. ACM Transactions on Mathematical Software, 45(1), 1–29. https://doi.org/10.1145/3274659
   Web of Science ®Google Scholar
• Wang, X. R., Wang, H., & Liang, R. Y. (2018). A method for slope stability analysis considering subsurface stratigraphic uncertainty. Landslides, 15(5), 925–936. https://doi.org/10.1007/s10346-017-0925-5
   Web of Science ®Google Scholar
• Xu, Z. S., & Gou, X. J. (2017). An overview of interval-valued intuitionistic fuzzy information aggregations and applications. Granular Computing, 2(1), 13–39. https://doi.org/10.1007/s41066-016-0023-4
   Google Scholar
• Yan, L., Xu, W. Y., Wang, H. L., Wang, R. B., Meng, Q. X., Yu, J., & Xie, W. C. (2019). Drainage controls on the Donglingxing landslide (China) induced by rainfall and fluctuation in reservoir water levels. Landslides, 16(8), 1583–1593. https://doi.org/10.1007/s10346-019-01202-x\
   Web of Science ®Google Scholar
• Yu, H. P. (2006). Study on interval analysis theory and its application in slope engineering. PhD thesis. Hohai University. https://doi.org/10.7666/d.y912136(In Chinese)
   Google Scholar
• Yu, H. P., Zhang, C., Yuan, M. M., Chen, X. Y., & Zhang, J. D. (2015). Interval limit equilibrium method for slope stability analysis. Science Technology and Engineering, 15(5), 301–304. https://doi.org/10.3969/j.issn.1671-1815.2015.05.057(In Chinese)
   Google Scholar
• Zhang, H., Mullen, R. L., & Muhanna, R. L. (2010). Interval Monte Carlo methods for structural reliability. Structural Safety, 32(3), 183–190. https://doi.org/10.1016/j.strusafe.2010.01.001
   Web of Science ®Google Scholar
• Zhang, Y., Monder, D., & Forbes, J. F. (2002). Real-time optimization under parametric uncertainty: A probability constrained approach. Journal of Process Control, 12(3), 373–389. https://doi.org/10.1016/S0959-1524(01)00047-6
   Web of Science ®Google Scholar